+

US20030167185A1 - System and method for integrating data with guidelines to generate displays containing the guidelines and data - Google Patents

System and method for integrating data with guidelines to generate displays containing the guidelines and data Download PDF

Info

Publication number
US20030167185A1
US20030167185A1 US09/985,173 US98517301A US2003167185A1 US 20030167185 A1 US20030167185 A1 US 20030167185A1 US 98517301 A US98517301 A US 98517301A US 2003167185 A1 US2003167185 A1 US 2003167185A1
Authority
US
United States
Prior art keywords
data
guidelines
patient
diagram
instructions
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Abandoned
Application number
US09/985,173
Other languages
English (en)
Inventor
Tim Gordon
Janet Davidson
Nancy Dunne
Roger Mazze
Rachel Robinson
Gregg Simonson
Paul Upham
Todd Weaver
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Staged Diabetes Management LLC
Original Assignee
Becton Dickinson and Co
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Becton Dickinson and Co filed Critical Becton Dickinson and Co
Priority to US09/985,173 priority Critical patent/US20030167185A1/en
Assigned to BECTON, DICKINSON AND COMPANY reassignment BECTON, DICKINSON AND COMPANY ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: ROBINSON, RACHEL, GORDON, TIM H., MAZZE, ROGER, DAVIDSON, JANET, DUNNE, NANCY A., SIMONSON, GREGG, UPHAM, PAUL A., WEAVER, TODD
Publication of US20030167185A1 publication Critical patent/US20030167185A1/en
Assigned to STAGED DIABETES MANAGEMENT, LLC reassignment STAGED DIABETES MANAGEMENT, LLC ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: BECTON, DICKINSON AND COMPANY
Priority to US12/232,907 priority patent/US10290070B2/en
Priority to US12/457,185 priority patent/US9192338B2/en
Priority to US14/944,786 priority patent/US9386955B2/en
Priority to US15/149,942 priority patent/US9629588B2/en
Abandoned legal-status Critical Current

Links

Images

Classifications

    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H15/00—ICT specially adapted for medical reports, e.g. generation or transmission thereof
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
    • G06F16/958—Organisation or management of web site content, e.g. publishing, maintaining pages or automatic linking
    • G06F16/972—Access to data in other repository systems, e.g. legacy data or dynamic Web page generation
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
    • G16H10/20—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for electronic clinical trials or questionnaires
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
    • G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
    • G16H20/10—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to drugs or medications, e.g. for ensuring correct administration to patients
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
    • G16H20/30—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
    • G16H20/40—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to mechanical, radiation or invasive therapies, e.g. surgery, laser therapy, dialysis or acupuncture
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
    • G16H20/60—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to nutrition control, e.g. diets
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
    • G16H40/20—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
    • G16H40/60—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
    • G16H40/67—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H70/00—ICT specially adapted for the handling or processing of medical references
    • G16H70/20—ICT specially adapted for the handling or processing of medical references relating to practices or guidelines

Definitions

  • the present invention relates to a system and method for automatically integrating data with guidelines to generate displays containing the guidelines and data. More particularly, the present invention relates to a system and method that employs a database that is capable of receiving data, such patient data, statistical data, and the like, from local or remote locations and integrating the data in a database along with guidelines, such as treatment guidelines used by medical providers, to generate displays containing the guidelines which are enhanced by the integrated data to provide information pertaining to the guidelines and recommendations for following the guidelines.
  • a technique known as Staged Diabetes Management exists that uses diagrams or decision paths to illustrate to a healthcare provider different courses of treatment for a diabetes patient.
  • An example of the staged diabetes management technique is described in a book by Roger S. Mazze, Ph.D. et al., Staged Diabetes Management—A Systematic Approach (International Diabetes Center, 2000), the entire content of which is incorporated herein by reference.
  • the Staged Diabetes Management technique described in this book is intended to provide a systematic approach to diabetes care that can significantly reduce average glycosylated hemoglobin AIC, reduce overall lower extremity amputation, and reduce adverse fetal and prenatal outcomes associated with Type 1 diabetes and pregnancy.
  • SDM provides a comprehensive program that offers scientifically based guidelines for the prevention, detection and treatment of diabetes and its complications, and has proven to enhance the quality of patient care when compared to standard treatment approaches for diabetes.
  • the SDM technique uses diagrams referred to as decision paths that incorporate research findings in Type 1 diabetes, Type 2 diabetes, and diabetes in pregnancy, and translates them into techniques usable for clinical practice. Over the past decade, the program has been adapted successfully by more than 10,000 practitioners in 200 diabetes treatment centers worldwide.
  • the SDM technique has been very successful, it is somewhat difficult to implement in a practical sense because of the need to manually integrate patient data with the SDM guidelines. That is, when a healthcare provider uses the known SDM technique, the healthcare provider must manually compare the patient data, such as test measurements and the like, with the questions and criteria set forth in the decision paths. Based on this comparison, the healthcare provider manually determines the course of treatment to provide to the patient in view of the guidelines outlined in the decision path. Again, although this technique is successful in achieving the desired results, it may be somewhat difficult for a healthcare provider to use in a practical sense.
  • An object of the present invention is to provide a system and method for automatically integrating data with guidelines to generate displays containing the guidelines and data.
  • Another object of the present invention is to provide an automated system and method for integrating patient data with treatment guidelines to assist the healthcare provider, such as a physician or the like, in providing treatment to the patient.
  • a further object of the present invention is to provide a system and method that is capable of receiving data, such patient data, statistical data, and the like, from local or remote locations and integrating the data in a database along with guidelines, such as treatment guidelines used by medical providers, to generate displays containing the guidelines which are enhanced by the integrated data to provide information pertaining to the guidelines and recommendations for following the guidelines.
  • Another object of the present invention is to provide a system and method for automatically incorporating patient data with a staged disease management technique to provide integration between the patient data and the decision pathways for treatment to the healthcare provider.
  • the system and method each employ a data storage component, which is adapted to store guideline data representing guidelines for assessing a condition of an entity, guidelines for taking action on the entity, or both, and which is further adapted to store feature data representing at least one feature of the entity.
  • the system and method further employ an output device, adapted to output a diagram representing the guideline data.
  • the diagram includes at least one component representing a relationship of at least a portion of the feature data to at least a portion of the guideline data.
  • the output device includes a display which adapted to display the diagram, or a printer which is adapted to print the diagram.
  • the entity can be a person, in which event the feature data can represent at least one physical condition of the person, and the guideline data can represent medical information.
  • FIG. 1 is a conceptual block diagram illustrating an example of a network adapted for use with a system and method for integrating patient data with healthcare guidelines according an embodiment of the present invention
  • FIG. 2 is a conceptual block diagram illustrating an example of the manner in which data is input and output from a data base in a network shown in FIG. 1;
  • FIG. 3 is a conceptual diagram illustrating an example of the manner in which the network shown in FIG. 1 employing the system and method according to an embodiment of the present invention integrates patient data with treatment guidelines;
  • FIG. 4 is another conceptual diagram illustrating an example of the manner in which the network shown in FIG. 1 employing the system and method according to an embodiment of the present invention integrates patient data with treatment guidelines;
  • FIG. 5 illustrates an example of a display screen displayed by a workstations used in conjunction with the network shown in FIG. 1 that can be used to generate integrated patent data and guideline displays in accordance with an embodiment of the present invention
  • FIG. 6 illustrates an example of a screening and diagnosis display screen that can be generated on a workstation display in a network shown in FIG. 1 in accordance with an embodiment of the present invention
  • FIG. 7 illustrates a master decision path display screen that can be generated on a workstation display screen employed in the network shown in FIG. 1 in accordance with an embodiment of the present invention
  • FIG. 8 is an example of a food plan and exercise start display that can be displayed on a display screen of a workstation employed in the network shown in FIG. 1 in accordance with an embodiment of the present invention
  • FIG. 9 is an example of a medical visit information display that can be displayed on a display screen of a workstation employed in the network shown in FIG. 1 in accordance with an embodiment of the present invention
  • FIG. 10 illustrates an example of an insulin stage 2 start display that can be generated on a workstation display screen employed in the network shown in FIG. 1 in accordance with an embodiment of the present invention
  • FIG. 11 illustrates an example of a Type 2 diabetes stage 2 adjust display that can be generated on a display screen of a workstation employing the network shown in FIG. 1 in accordance with an embodiment of the present invention
  • FIG. 12 illustrates an example of an insulin stage 3A start display that can be generated on a display screen of a workstation employed in the network shown in FIG. 1 in accordance with an embodiment of the present invention
  • FIG. 13 illustrates an example of an insulin stage 4A start display that can be generated on a display screen of a workstation employed in a network shown in FIG. 1 in accordance with an embodiment of the present invention
  • FIG. 14 illustrates an example of a screening and diagnosis display screen as shown in FIG. 6 that further displays a selection box according to an embodiment of the present invention
  • FIG. 15 is an example of a blood pressure display that can be displayed on the display screen of a workstation employed in the network shown in FIG. 1 in accordance with an embodiment of the present invention
  • FIG. 16 is an example of a medications and allergies display that can be displayed on the display screen of a workstation employed in the network shown in FIG. 1 in accordance with an embodiment of the present invention
  • FIG. 17 is an example of a patient update information display that can be displayed on a display screen of the workstation employed in the network shown in FIG. 1 in accordance with an embodiment of the present invention
  • FIG. 18 is a self management adherence assessment display that can be generated on display screen of a workstation employed in the network shown in FIG. 1 in accordance with an embodiment of the present invention
  • FIG. 19 is an example of a hypertension diagnosis display that can be displayed on a display screen of a workstation employed in the network shown in FIG. 1 in accordance with an embodiment of the present invention
  • FIG. 20 is an example of a hypertension diagnosis display as shown in FIG. 19 that further displays a box containing desired blood pressure readings according to an embodiment of the present invention
  • FIG. 21 is an example of a hypertension drug therapy start display that can be displayed on a display screen of a workstation employed in the network shown in FIG. 1 in accordance with an embodiment of the present invention
  • FIG. 22 is an example of a diagnosis display that can be displayed on a display screen of a workstation employed in the network shown in FIG. 1 in accordance with an embodiment of the present invention
  • FIG. 23 is an example of a patient intake display that can be displayed on a display screen of a workstation employed in the network shown in FIG. 1 in accordance with an embodiment of the present invention
  • FIG. 24 is an example of a print selection display that can be displayed on a display screen of a workstation employed in the network shown in FIG. 1 in accordance with an embodiment of the present invention
  • FIG. 25 is another example of a display screen displayed by a workstations used in conjunction with the network shown in FIG. 1 that can be used to generate integrated patent data and guideline displays in accordance with another embodiment of the present invention.
  • FIG. 26 is another example of a display containing a Type 2 diabetes stage 2 adjust pathway that can be generated on a display screen of a workstation employing the network shown in FIG. 1 in accordance with another embodiment of the present invention.
  • FIG. 1 illustrates a network 100 employing a system and method for integrating data, such as patient data, with guidelines, such as healthcare guidelines, according to an embodiment of the present invention.
  • the network 100 employs a centralized computer network 102 including a database 104 for storing information pertaining to patients as well as healthcare guidelines as discussed in more detail below.
  • the network 100 further includes a plurality of workstations 106 which, in this example, are healthcare provider workstations. These workstations 106 can include desktop computer terminals or the like that are capable of accessing the centralized computer network 102 and database 104 via, for example, the Internet 108 or in any other suitable fashion.
  • the network 100 further includes a plurality of patient terminals 110 that can be used by, for example, the individual patients or a healthcare provider, such a home care nurse, to record and enter patient data, such as vital statistics, test results, and so on, into the centralized database 104 .
  • the patient terminals 110 can access the centralized database 104 via, for example the Internet 108 or in any other suitable manner in order to provide the data to the centralized database 104 .
  • the centralized database 104 is shown in more detail in FIG. 2.
  • the database 104 is capable of receiving patient specific data entry sets 112 via the patient terminals 110 or by any other suitable method. That is, the patient can take his or her own vital signs and perform other self-administered tests, such as measuring blood glucose level and so on, and enter this information online via his or her patient terminal 110 . Alternatively, this data can be obtained by a visiting nurse, technician or the like. Also, this data need not be entered via the patient terminal 110 , but can be obtained manually and entered into the database 104 via another workstation at, for example, the facility in which the database 104 is present, or in any other suitable manner.
  • instruments such as a sphygmomanometer, blood glucose measuring device, and so on, can be coupled to the patient terminal 110 to automatically input the patient's readings and measurements directly to the patient terminal 110 without the need for manual or electronic entry by the patient, nurse, and so on.
  • the terminal 110 can then be used to provide this data to the database 104 in any of the manners described above.
  • the database 104 need not be configured as a centralized database to store the data discussed above, such as that pertaining to the guidelines and patient data.
  • the guideline data and patient data can be stored locally in the workstations 106 and patient terminals 110 , respectively, and integrated as appropriate as discussed in more detail below.
  • those separate databases or data storage locations can be referred to generally as a data storage component.
  • the network 102 generates stage disease management pathways 114 that are integrated with the decision data sets 116 and reference content 118 , which includes the patient-specific data, to generate clinical decision pathways 120 .
  • the database 104 can be controlled by the computer network 102 to generate educational material 122 and outcome reports 124 that take into account the patient-specific data.
  • FIGS. 3 and 4 illustrate an example of the manner in which the operations involving the database 104 , workstations 106 and patient terminals 110 shown in FIGS. 1 and 2 can address and eliminate the problems associated with conventional stage disease management techniques discussed in the Background section above.
  • the data entry sets can be provided by keyboard entry via the patient workstations 110 .
  • the data entry sets can also be provided to the database 104 via datasheets that are manually completed and scanned into electronic format, which is then forwarded to the database 104 .
  • the data entry sets can also be remotely downloaded to the database 104 in any fashion, and can also involve electronic medical records (EMR) interfacing to input the data to the database 104 .
  • EMR electronic medical records
  • the decision data sets facilitate comparison of the existing patient state against the pathway model as described in more detail below.
  • the pathways are navigable links and are therefore easy to use by a healthcare provider.
  • the reference content is hyperlinked to the pathways and data sheets to facilitate timely access by the healthcare provider.
  • the clinical decision aspects of the database 104 provide outcomes reporting capability which can be used by healthcare providers, and the educational material aspects provide the patient with Internet access or clinician-generated materials to enable the patient to study information about his or her condition.
  • the network 102 can be controlled to generate treatment, pathways or guidelines that take into the account this particular patient's data to enable a healthcare provider to diagnose and prescribe treatment of the patient.
  • the healthcare provider accesses the database 104 via, for example, a healthcare provider workstation 106
  • the computer 102 can access the database 104 and provide data to the workstation 106 that enables the workstation 106 to generate a display 130 on its display screen as shown in FIG. 5.
  • the guidelines and pathways generated relate to the diagnosis and treatment of diabetes.
  • this type of system and method can be employed to provide treatment pathways and guidelines for any type of disease, or can have any other medical or non-medical application.
  • the display 130 includes an alphabetic listing of patient names. In this example, only two names are shown, but the list can have as many names as the database 104 is capable of supporting.
  • the healthcare provider can use, for example, the mouse at his or her workstation 106 to click on the name “Sandra Dee.”
  • This action causes the web browser running on the workstations 106 to provide the necessary data to network 102 , which results in the network 102 retrieving the appropriate data from database 104 and providing that data back to the web browser on the workstation 110 .
  • this data causes the workstation 110 to generate a display 132 illustrating a screening and diagnosis pathway for the patient “Sandra Dee.”
  • This pathway can be generally referred to as a diagram, which can include the type of pictorial display as illustrated. However, the term diagram can also refer to other types of displays of the guideline information, such as spreadsheet type displays, lists of information including the guidelines, and so on.
  • the display 132 includes a button column 133 that enables the healthcare provider to generate various displays as discussed in more detail below.
  • the healthcare provider can click on the button entitled “Screening & Diagnosis Data” to display various boxes or components that show different guidelines that enable a healthcare provider to determine, based on the data entered into database 104 pertaining to “Sandra Dee”, whether or not the patient “Sandra Dee” has any form of diabetes.
  • box 134 displays the types of risk factors for diabetes, along with the symptoms being experienced by the patient “Sandra Dee” and the capillary blood glucose (BG) readings that would indicate that the patient is suffering from a form of diabetes.
  • BG capillary blood glucose
  • the risk factors that the patient “Sandra Dee” meets are included.
  • the risk factors pertaining to dyslipidemia, ethnicity and family history are included.
  • symptoms such a blurred vision, UTI, dry/itchy skin, and so on are included.
  • the results of the fasting blood glucose test as being greater than 100 mg/dL is highlighted.
  • box 136 highlights to the healthcare provider that the test performed was a fasting plasma glucose (FPG) reading, as opposed to a casual plasma glucose (CPG) reading.
  • Box 138 highlights to the healthcare provider those diagnostic tests that were performed on the patient to indicate that the patient may have a form of diabetes.
  • FPG fasting plasma glucose
  • CPG casual plasma glucose
  • Boxes 140 , 142 and 144 similarly illustrate the different pathways that the diagnoses can take depending on the results of the patient's test. For example, box 144 indicates that the FPG of the patient was determined to be 149 on Oct. 10, 2000, and thus, this portion of box 144 is highlighted. Since box 144 is highlighted, the healthcare provider can then follow the path to box 146 to see the readings of the patient pertaining to the urine ketone. It is noted that box 146 indicates that the results of the urine ketone test were negative on Oct. 11, 2000. The healthcare provider is therefore instructed to box 148 to repeat the FPG test in seven days. The healthcare provider is not instructed to proceed to box 150 to provide a diagnosis for Type 1 diabetes.
  • box 151 of the pathway indicates to the healthcare provider that the FPG testing of the patient was 160 mg/dL on Oct. 11, 2000, which is greater than the guideline of 126 mg/dL.
  • the pathway therefore indicates in box 152 that the healthcare provider should diagnose the patient with Type 2 diabetes.
  • the healthcare provider is not instructed to proceed to box 154 to diagnose the patient with impaired glucose homeostasis.
  • the pathway instructed the healthcare provider to proceed along the boxes subsequent to box 144 .
  • the healthcare provider is not instructed to proceed to box 141 which instructs the healthcare provider to diagnose the patient as having no diabetes.
  • box 152 the healthcare provider is instructed to generate a master decision path for the patient.
  • the web browser sends data to the network 102 which, in response, retrieves the appropriate data from database 104 and provides that data to the web browser at workstation 110 .
  • the workstation 110 thus displays a display screen 160 as shown in FIG. 7.
  • the boxes in the display screen 160 provide the healthcare provider with various types of recommendation for diet, exercise, and medication.
  • box 162 outlines a criteria for the FPG being less than 200 mg/dL. Because the FPG of the patient is indicated as being 160 mg/dL on Oct.
  • box 162 indicates to the healthcare provider to proceed to box 164 where the healthcare provider is instructed to prescribe a food plan and exercise for the patient.
  • the healthcare provider can control the web browser to provide an instruction to the network 102 to retrieve the appropriate data from database 104 .
  • the network 102 provides this data to workstation 110 , which causes the web browser to display a display 186 as shown in FIG. 8.
  • the display 186 includes boxes 188 through 204 , which indicate to the healthcare provider recommendations for diet and exercise.
  • the diagnosis box 188 proceeds to box 190 which indicates to the healthcare provider that the records of the patient's medical visit should be reviewed.
  • the healthcare provider can review the medical visit records by clicking on the medical visit term in box 190 to cause the web browser on the workstation 110 to display the medical visit display screen 191 as shown in FIG. 9, into which information pertaining to the patient's medical visit or visits can be entered.
  • box 192 provides information to the healthcare provider for obtaining a registered dietician, while box 194 provides SMBG targets for the patient at different stages throughout the day.
  • Box 196 which follows box 190 also provides information for diet and exercise for the patient, while box 198 provides medical nutrition therapy guidelines.
  • Box 200 indicates to the healthcare provider the periods of time in which the patient's medical condition should be reviewed and when the patient's recommended diet should also be reviewed.
  • Box 202 provides a sample food plan that can be prescribed to the patient.
  • Box 204 which follows box 200 , allows the healthcare provider to adjust the food plan and exercise that was prescribed to the patient if deemed necessary after performing the follow-ups recommended in box 200 .
  • diagnosis boxes 166 and 170 are displayed to the healthcare provider at workstation 110 to enable the healthcare provider to determine whether the patient has reached the oral agent stage or the insulin stages. For example, if the patient FPG is within the guidelines as recommended in box 166 , then the pathway indicates in box 168 that the healthcare provider should prescribe oral agents to the patient for treatment of his or her diabetes. Box 172 indicates a combination of oral agents that can be prescribed to the patient. In addition, box 170 indicates guidelines for FPG which would lead to the healthcare provider prescribing insulin for treatment of the patient. That is, box 176 indicates the recommendation and guidelines for prescribing a combination of oral agent and insulin to the patient. Boxes 180 - 184 provide recommendations for different doses of insulin depending on the stage of the patient's diabetes. Boxes 174 and 178 display types of medications that are typically prescribed, and also provide comments to the healthcare provider.
  • Insulin stage 2 start screen 210 includes boxes 212 through 226 which provides guidelines and recommendations for prescribing insulin to the patient.
  • box 212 sets forth guidelines concerning the patient's FPG at diagnosis
  • box 214 sets forth guidelines for a patient who is undergoing oral agent or combination therapy. If these conditions in boxes 212 and 214 are met, the pathway in box 216 recommends to the healthcare provider that the patient's medical history be examined. The healthcare provider can achieve this by clicking on the medical visit term in box 216 to cause the web browser of workstation 110 to display the medical visit display screen as shown in FIG. 9.
  • the display screen 210 shown in FIG. 10 also gives SMBG targets in box 218 to assist the healthcare in making the diagnosis.
  • Box 220 which follows box 216 , provides a dose calculator to enable the healthcare provider to prescribe a recommended amount insulin based the patient's weight. That is, box 220 displays the patient's weight (i.e., 61.36 kgs) and the recommended dosage (i.e., 0.3 U/kg) for that weight. Box 221 also displays the recommended dosage, while the remainder of box 220 breaks down that recommended dosage for morning, midday and evening for the patient, to arrive at the total daily units for the patient. It is noted that if the recommend dosage changes to, for example, 0.4 U/kg, the healthcare provider can use the arrow in box 221 to adjust the dosage, which will change the breakdown of the dosage in the subsequent boxes for time of day and total daily units.
  • Box 222 in FIG. 10 provides LP considerations that can be reviewed by the healthcare provider.
  • Box 224 which follows box 220 , provides recommendations for a follow-up in a patient's medical condition and so on.
  • Box 226 which follows box 224 , enables the healthcare provider to adjust the stage to insulin dosage if deemed necessary from the follow-up in box 224 .
  • stage 2 adjust screen 230 includes boxes 232 through 252 which provide recommendations to the healthcare provider to change the insulin based on certain conditions.
  • box 234 takes into account the patient's interim history and physical conditions, as well as the laboratory results, while box 236 provides recommendations for considering different insulin stages.
  • Box 238 considers whether the patient's SMBG is within the target range. If so, box 240 provides a recommendation that the patient maintain the stage to insulin dosage.
  • Box 242 considers the patient's monthly assessment which, if improvement is shown, indicates that the recommendations in box 244 should be followed. If improvement is not shown, the guidelines recommended in box 246 that the patient's day-to-day management be assessed, and box 248 provides guidelines to determine whether the patient's dosage is sufficient.
  • Box 250 enables the healthcare provider to provide a recommended adjustment to the patient's insulin dosage.
  • Box 252 provides recommendations for changing the patient's dosage to follow the insulin stage 3 or insulin stage 4 recommendations.
  • the healthcare provider can use the mouse at his or her workstation 110 to click on the insulin stage 3A term in box 182 . In doing so, the browser on workstation 110 will display the insulin stage 3A start display screen 260 as shown in FIG. 12.
  • the display screen 250 includes boxes 262 through 276 which are similar to boxes 212 through 226 in display screen 210 shown in FIG. 10 and which will not be described in detail here.
  • FIG. 13 Screen 280 includes boxes 282 through 296 which are similar to boxes 262 through 276 shown in FIG. 12 and boxes 212 and 226 shown in FIG. 10, and thus will not be described in detail here. Also, box 276 in FIG. 12 and box 296 in FIG. 13 enable the healthcare provider to provide insulin stage 3A adjustment and insulin stage 4A adjustment, respectively, in a manner similar to the insulin stage 2A adjustment as shown in the display screen 230 set forth in FIG. 11.
  • buttons in the button column 133 on the displays discussed above which are displayed on the display screen of the workstation 110 can be used to generate additional display screens pertaining to the patient.
  • a group of additional buttons can be displayed as shown in FIG. 14.
  • the healthcare provider can thus click on these additional buttons to cause the workstation 110 to display, for example, a screen showing the patent's history in present illness (HPI), as well as ambulatory blood pressure (BP) as shown in display screen 300 in FIG. 15, and the patient's medicines and allergy information which can be entered in display screen 302 as shown in FIG. 16.
  • the healthcare provider can also click on the data entry button to cause the workstation to display a patient data entry screen 304 as shown in FIG. 17.
  • the healthcare provider can also click on any of the other buttons to display screens for performing additional tasks.
  • the healthcare provider can click on the outcomes reporting button to display reports on patient progress. More particularly, the outcomes reporting button could be clicked on to display population data reports, such as NCQA, HEDIS or JCAHO reports, which are of critical importance to Health Care Organizations in securing and maintaining various forms of accreditation, and show a compilation of different patient data that can be provided to those organizations.
  • the healthcare provider can click on the orders and referrals button to view medical orders and referrals that have been given to the patient.
  • These orders and referrals can include templates or letters into which the patient data and diagnosis data can be automatically entered by the system, thereby obviating the need for redundant documentation by the clinician.
  • the referral is a referral letter to a type of specialist, such as a nutritionist
  • the patient diagnosis e.g., Type 2 diabetes
  • patient data e.g., SBGL readings
  • the healthcare provider can also click on any of the other buttons in button column 133 to display the desired display screens.
  • clicking on the patient documentation button will display the patient information such as the data that is in a patient's chart.
  • Clicking on the screen and diagnose button will display the screen and diagnose display screen 132 as shown in FIG. 6, and clicking on the start food plan and exercise button will display the food plan and exercise display screen 186 as shown in FIG. 8.
  • Clicking on the start insulin display screen button will enable the healthcare provider to display the selected insulin display screen as shown in FIGS. 10, 12 and 13 , and clicking on the adjust insulin display screen will show an insulin adjustment display screen as shown in FIG. 11.
  • Clicking on the start oral or start/manage pump buttons will display appropriate pathways similar to those shown in FIGS.
  • Clicking on the SOAP (subjective objective assessment and plan) button will display a display screen into which the healthcare provider can enter additional SOAP notes, beyond those automatically generated by the system in conjunction with the user's use of the system, as can be appreciated by one skilled in the art.
  • Clicking on the select therapy button displays the master pathway as shown in FIG. 7.
  • Clicking on the print button will enable the healthcare provider to print the displayed screen, and clicking on the home button returns the display to that shown in FIG. 5.
  • an appropriate button such as the education button, can be clicked on to display self-management and adherence assessment display screen 310 as shown in FIG. 18 that includes boxes 312 through 334 which provide questions for the patient to answer and recommendations for the patient and will process those questions.
  • the healthcare provider can click on the complications buttons to be able to diagnose whether or not the patent is developing any complications and then treatment pathways can provide guidance on their treatment
  • the workstation 110 can display a hypertension and diagnosis display screen 340 as shown in FIG. 19.
  • the hypertension diagnosis display screen 340 includes boxes 342 through 362 which assist a healthcare provider in determining whether or not the patient is developing hypertension.
  • box 342 indicates that the patient with Type 1 or Type 2 diabetes can be suffering from hypertension
  • subsequent box 344 instructs the healthcare provider to measure blood pressure and review previous blood pressure values.
  • Box 346 provides blood pressure measurement guidelines.
  • the healthcare provider clicks on the box “R” in box 346 the workstation will display a dropdown box showing normal blood pressure range and diabetes blood pressure ranges as shown in FIG. 20.
  • the additional boxes in display screen 340 similarly ask the healthcare provider questions to assist the healthcare provider with the diagnosis. If the healthcare provider reaches box 362 , a recommendation is give to diagnose the patient with hypertension. The healthcare provider can then click on the hyper tension-start treatment term in box 362 to display a hypertension drug therapy start display screen 370 as shown in FIG. 21.
  • the hypertension drug therapy start display screen 370 includes boxes 372 through 384 which provide recommendation for hypertension therapy treatment to the healthcare provider.
  • the healthcare provider can also click on a hypertension drug therapy adjust term in box 380 to cause the workstation 110 to display a hypertension drug therapy adjustment screen (not shown) to adjust the hypertension therapy drugs and treatment.
  • the button column 133 also enables the healthcare provider to display a diagnosis screen as shown in FIG. 22, a patient basic intake screen is drawn in FIG. 23, and a print screen as shown in FIG. 24.
  • FIGS. 25 and 26 illustrate variations in the manner in which the system and method according to another embodiment of the present invention can control the workstation 110 to display display screens having different arrangements of the information and pathways discussed above.
  • the computer 102 can access the database 104 and provide a data to the workstation 106 that enables the workstation 106 to generate a display 400 on its display screen as shown in FIG. 25.
  • the display 400 includes a listing of patient names. However, unlike display 130 , display 400 lists the names chronologically by order of appointment time. In addition, display provides certain patient information associated with the patient's name. For example, the patient's HbA1c, blood pressure and LDL readings are displayed) if known), along with an indication as to whether the patient is a smoker.
  • the display 400 can be configured to include any other patient-related information as deemed appropriate.
  • the healthcare provider can use, for example, the mouse at his or her workstation 106 to click on the name of interest.
  • This action causes the web browser to generate a display 402 illustrating a screening and diagnosis pathway for the patient, as shown in FIG. 26.
  • display 402 shows a “Type 2 Insulin Adjust” pathway for illustrative purposes.
  • the system and method can be configured so that the web browser initially displays, for example, a screening and diagnosis display screen, or any other suitable type of display and pathway.
  • display 402 includes a pathway section 404 which, like the other pathways described above, includes a pathway comprising a plurality of boxes 406 through 422 setting forth guidelines that assist a health care provider is treating the patient. Also, like the other pathways described above, pathway section 404 highlights the patient's conditions based on the patient data. In other words, pathway section 404 also integrates the patient data with the guidelines. For example, because the patient has nocturnal hypoglycemia, the term “nocturnal hypoglycemia” is conscripted by a highlighted rectangle in box 406 as a consequence of the SMBG data presented on the left side of the screen.
  • the term “in target range” is conscripted by a highlighted rectangle in box 412 .
  • the health care provider can therefore use this information in the guidelines in conjunction with the actual values, to determine a course of treatment for the patient in a manner similar to that discussed above.
  • display 402 includes a patient data section 408 that displays patient data such as the patient's HbA1c reading, blood pressure (BP) reading, and so on.
  • Display 402 also includes a data views section 410 that provides an indication of the type of data view that is currently being displayed in the data view section 412 .
  • the data view being displayed is a 30 day Modal of SMBG, as indicted.
  • the healthcare provider can click on one of the other options, such as the “7 day logbook”, in the data views section 410 to display the 7 day logbook relating to the patient in the data view section 412 .
  • the Diagnosis & Pathways section 414 indicates the type of pathway that is being displayed in the pathway section 404 .
  • the Type 2 Insulin Adjust pathway is being displayed, as indicated.
  • the healthcare provider can select a different pathway for display, such as the “Complication 1” pathway, and so on, by clicking on the appropriate term in the Diagnosis & Pathways section 414 .
  • the Current Therapies section 416 indicates the type of therapy (e.g., insulin) that the patient is undergoing.
  • the display 402 includes buttons including the terms “Type 1 Diabetes”, “Gestational”, and so on, which extend vertically on opposite sides of the pathway section 404 .
  • the healthcare provider can click on any of these buttons to display a pathway pertaining to the term indicated on the button being selected.
  • the display 402 will display a pathway showing guidelines for treating Type 1 diabetes.
  • the terms displayed in the Diagnosis & Pathways section 414 will also change to reflect the pathway being displayed in the pathway section 404 .
  • the data variables being presented on the left screen half may also change to those relevant specifically to the new flow chart Pathway being accessed.
  • display 402 includes an Education Checklist section 418 that can include a list of education that any patient should have for any pathway. For example, for the Type 2 Insulin Adjust pathway being displayed in pathway section 404 , the healthcare provider can click on the Education Checklist section 418 to display a dropdown menu indicating recommended patient education, such as self-monitoring education, for that particular pathway.
  • the display 402 also includes a subjective-objective assessment and plan (SOAP) section in which can be displayed notes that are entered by the healthcare provider, along with patient data, and so on.
  • SOAP subjective-objective assessment and plan

Landscapes

  • Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Primary Health Care (AREA)
  • General Health & Medical Sciences (AREA)
  • Public Health (AREA)
  • Epidemiology (AREA)
  • Theoretical Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • Business, Economics & Management (AREA)
  • General Business, Economics & Management (AREA)
  • Biomedical Technology (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Medicinal Chemistry (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Chemical & Material Sciences (AREA)
  • Bioethics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Biophysics (AREA)
  • Physical Education & Sports Medicine (AREA)
  • Nutrition Science (AREA)
  • Urology & Nephrology (AREA)
  • Surgery (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Measuring And Recording Apparatus For Diagnosis (AREA)
  • Tourism & Hospitality (AREA)
  • Child & Adolescent Psychology (AREA)
  • Economics (AREA)
  • Human Resources & Organizations (AREA)
  • Marketing (AREA)
  • Strategic Management (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Medical Treatment And Welfare Office Work (AREA)
US09/985,173 2000-11-01 2001-11-01 System and method for integrating data with guidelines to generate displays containing the guidelines and data Abandoned US20030167185A1 (en)

Priority Applications (5)

Application Number Priority Date Filing Date Title
US09/985,173 US20030167185A1 (en) 2000-11-01 2001-11-01 System and method for integrating data with guidelines to generate displays containing the guidelines and data
US12/232,907 US10290070B2 (en) 2000-11-01 2008-09-25 System and method for integrating data with guidelines to generate displays containing the guidelines and data
US12/457,185 US9192338B2 (en) 2001-11-01 2009-06-03 Apparatus and method for monitoring blood glucose levels including convenient display of blood glucose value average and constituent values
US14/944,786 US9386955B2 (en) 2001-11-01 2015-11-18 Apparatus and method for monitoring blood glucose levels including convenient display of blood glucose value average and constituent values
US15/149,942 US9629588B2 (en) 2001-11-01 2016-05-09 Apparatus and method for monitoring blood glucose levels including convenient display of blood glucose value average and constituent values

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US24484500P 2000-11-01 2000-11-01
US09/985,173 US20030167185A1 (en) 2000-11-01 2001-11-01 System and method for integrating data with guidelines to generate displays containing the guidelines and data

Related Child Applications (1)

Application Number Title Priority Date Filing Date
US12/232,907 Continuation US10290070B2 (en) 2000-11-01 2008-09-25 System and method for integrating data with guidelines to generate displays containing the guidelines and data

Publications (1)

Publication Number Publication Date
US20030167185A1 true US20030167185A1 (en) 2003-09-04

Family

ID=22924354

Family Applications (2)

Application Number Title Priority Date Filing Date
US09/985,173 Abandoned US20030167185A1 (en) 2000-11-01 2001-11-01 System and method for integrating data with guidelines to generate displays containing the guidelines and data
US12/232,907 Expired - Fee Related US10290070B2 (en) 2000-11-01 2008-09-25 System and method for integrating data with guidelines to generate displays containing the guidelines and data

Family Applications After (1)

Application Number Title Priority Date Filing Date
US12/232,907 Expired - Fee Related US10290070B2 (en) 2000-11-01 2008-09-25 System and method for integrating data with guidelines to generate displays containing the guidelines and data

Country Status (6)

Country Link
US (2) US20030167185A1 (fr)
EP (1) EP1358615A2 (fr)
JP (1) JP2004534975A (fr)
AU (1) AU2002224472A1 (fr)
CA (1) CA2427739A1 (fr)
WO (1) WO2002037337A2 (fr)

Cited By (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20020082865A1 (en) * 2000-06-20 2002-06-27 Bianco Peter T. Electronic patient healthcare system and method
US20030220814A1 (en) * 2002-05-24 2003-11-27 Gordon Tim H. System and method for assessment and corrective action based on guidelines
US20050027569A1 (en) * 2003-07-31 2005-02-03 Sohrab Gollogly Systems and methods for documentation of encounters and communications regarding same
US20050246203A1 (en) * 2004-04-30 2005-11-03 Narayan M S Laxmi Crucial and significant (C&S) patient information management and display
US20060106647A1 (en) * 2004-11-18 2006-05-18 Brummel Anthony C Method and apparatus for determining pharmacy order parameters based on patient context data
US20070174087A1 (en) * 2006-01-13 2007-07-26 Yeh Chih-Heng Thomas System and method for managing form-generated data
US20100000862A1 (en) * 2008-07-07 2010-01-07 Agamatrix, Inc. Integrated Blood Glucose Measurement Device
US20100249965A1 (en) * 2009-03-31 2010-09-30 Agamatrix, Inc. Integrated Blood Glucose Measurement Device
WO2013090731A1 (fr) * 2011-12-15 2013-06-20 Becton, Dickinson And Company Système d'interprétation améliorée des données physiologiques et de présentation des informations de prise en charge d'une condition physiologique
CN104205105A (zh) * 2012-03-30 2014-12-10 皇家飞利浦有限公司 用于将计算机可解读指南引擎的状态与患者护理的状态同步的方法
US10704944B2 (en) 2014-09-14 2020-07-07 Becton, Dickinson And Company System and method for capturing dose information
US10971260B2 (en) 2014-09-14 2021-04-06 Becton, Dickinson And Company System and method for capturing dose information
US20220101959A1 (en) * 2020-09-29 2022-03-31 Siemens Healthcare Gmbh Clinical trials matching and visualization in a clinical guideline view

Families Citing this family (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8275631B2 (en) 2003-09-15 2012-09-25 Idx Systems Corporation Executing clinical practice guidelines
US8924159B2 (en) 2008-05-30 2014-12-30 Abbott Diabetes Care Inc. Method and apparatus for providing glycemic control
US8645383B2 (en) * 2009-01-27 2014-02-04 Stephen J. Brown Content management system using sources of experience data and modules for quantification and visualization
US8930490B2 (en) 2009-01-27 2015-01-06 Apple Inc. Lifestream annotation method and system
US20100305974A1 (en) * 2009-05-28 2010-12-02 Refill Management Systems, Llc Medication refill advisor system and method
US20110166886A1 (en) * 2009-11-24 2011-07-07 Vincent Zeringue Bariatric Treatment Management System and Method
US20150234992A1 (en) * 2012-09-10 2015-08-20 Koninklijke Philips Clinical decision support
US20150370992A1 (en) * 2013-01-31 2015-12-24 Hewlett-Packard Development Company, L.P. Synthetic healthcare data generation
WO2015055469A1 (fr) * 2013-10-14 2015-04-23 Koninklijke Philips N.V. Méthodologie unique combinant des rôles utilisateur et des algorithmes dépendants du contexte pour présenter les informations cliniques ainsi que des commandes audio, vidéo et de communication visant à attirer l'attention du praticien, limiter la masse d'informations, optimiser le workflow et constituer une aide à la décision
CN114330264B (zh) 2020-09-30 2025-01-17 京东方科技集团股份有限公司 应用于健康管理系统的随访表单管理方法、健康管理系统
EP4068292A4 (fr) * 2019-11-25 2023-05-10 BOE Technology Group Co., Ltd. Procédé de traitement d'informations médicales, procédé d'acquisition d'informations médicales et procédé d'échange d'informations médicales

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5583758A (en) * 1992-06-22 1996-12-10 Health Risk Management, Inc. Health care management system for managing medical treatments and comparing user-proposed and recommended resources required for treatment
US5732397A (en) * 1992-03-16 1998-03-24 Lincoln National Risk Management, Inc. Automated decision-making arrangement
US5974124A (en) * 1997-01-21 1999-10-26 Med Graph Method and system aiding medical diagnosis and treatment
US6126596A (en) * 1997-06-02 2000-10-03 Freedman; Joshua Apparatus and method for evaluating a client's condition and the concordance of a clinician's treatment with treatment guidelines
US6230142B1 (en) * 1997-12-24 2001-05-08 Homeopt, Llc Health care data manipulation and analysis system

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5574828A (en) * 1994-04-28 1996-11-12 Tmrc Expert system for generating guideline-based information tools
CA2294294A1 (fr) * 1997-07-14 1999-01-28 Abbott Laboratories Telemedecine
US20030178031A1 (en) * 1999-05-07 2003-09-25 Du Pen, Inc. Method for cancer pain treatment
CA2328545A1 (fr) * 2000-05-30 2001-11-30 Visualmed Clinical Systems Corporation Systeme informatique hospitalier
US20020091687A1 (en) * 2000-09-29 2002-07-11 Thor Eglington Decision support system

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5732397A (en) * 1992-03-16 1998-03-24 Lincoln National Risk Management, Inc. Automated decision-making arrangement
US5583758A (en) * 1992-06-22 1996-12-10 Health Risk Management, Inc. Health care management system for managing medical treatments and comparing user-proposed and recommended resources required for treatment
US5953704A (en) * 1992-06-22 1999-09-14 Health Risk Management, Inc. Health care management system for comparing user-proposed and recommended resources required for treatment
US5974124A (en) * 1997-01-21 1999-10-26 Med Graph Method and system aiding medical diagnosis and treatment
US6126596A (en) * 1997-06-02 2000-10-03 Freedman; Joshua Apparatus and method for evaluating a client's condition and the concordance of a clinician's treatment with treatment guidelines
US6230142B1 (en) * 1997-12-24 2001-05-08 Homeopt, Llc Health care data manipulation and analysis system

Cited By (21)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20020082865A1 (en) * 2000-06-20 2002-06-27 Bianco Peter T. Electronic patient healthcare system and method
US8224663B2 (en) 2002-05-24 2012-07-17 Becton, Dickinson And Company System and method for assessment and corrective action based on guidelines
US20030220814A1 (en) * 2002-05-24 2003-11-27 Gordon Tim H. System and method for assessment and corrective action based on guidelines
US20050027569A1 (en) * 2003-07-31 2005-02-03 Sohrab Gollogly Systems and methods for documentation of encounters and communications regarding same
US20050246203A1 (en) * 2004-04-30 2005-11-03 Narayan M S Laxmi Crucial and significant (C&S) patient information management and display
US20060106647A1 (en) * 2004-11-18 2006-05-18 Brummel Anthony C Method and apparatus for determining pharmacy order parameters based on patient context data
US20120215564A1 (en) * 2006-01-13 2012-08-23 Medrule Business Solutions, Inc. System and method for managing form-generated data
US8595030B2 (en) * 2006-01-13 2013-11-26 Medrule Business Solutions, Inc. System and method for managing form-generated data
US8165899B2 (en) * 2006-01-13 2012-04-24 Medrule Business Solutions, Inc. System and method for managing form-generated data
US20070174087A1 (en) * 2006-01-13 2007-07-26 Yeh Chih-Heng Thomas System and method for managing form-generated data
US20100000862A1 (en) * 2008-07-07 2010-01-07 Agamatrix, Inc. Integrated Blood Glucose Measurement Device
US20100249965A1 (en) * 2009-03-31 2010-09-30 Agamatrix, Inc. Integrated Blood Glucose Measurement Device
CN104053396A (zh) * 2011-12-15 2014-09-17 贝克顿·迪金森公司 用于改进的生理数据的解释和生理状况管理信息的呈现的系统
WO2013090731A1 (fr) * 2011-12-15 2013-06-20 Becton, Dickinson And Company Système d'interprétation améliorée des données physiologiques et de présentation des informations de prise en charge d'une condition physiologique
US20140379273A1 (en) * 2011-12-15 2014-12-25 Becton, Dickinson And Company System For Improved Interpretation of Physiological Data and Presentation of Physiological Condition Management Information
US10398379B2 (en) * 2011-12-15 2019-09-03 Becton, Dickinson And Company System for improved interpretation of physiological data and presentation of physiological condition management information
CN104205105A (zh) * 2012-03-30 2014-12-10 皇家飞利浦有限公司 用于将计算机可解读指南引擎的状态与患者护理的状态同步的方法
US10704944B2 (en) 2014-09-14 2020-07-07 Becton, Dickinson And Company System and method for capturing dose information
US10971260B2 (en) 2014-09-14 2021-04-06 Becton, Dickinson And Company System and method for capturing dose information
US11988536B2 (en) 2014-09-14 2024-05-21 Becton, Dickinson And Company System and method for capturing dose information
US20220101959A1 (en) * 2020-09-29 2022-03-31 Siemens Healthcare Gmbh Clinical trials matching and visualization in a clinical guideline view

Also Published As

Publication number Publication date
US10290070B2 (en) 2019-05-14
WO2002037337A2 (fr) 2002-05-10
WO2002037337A3 (fr) 2003-08-21
AU2002224472A1 (en) 2002-05-15
WO2002037337A9 (fr) 2003-05-15
US20090099872A1 (en) 2009-04-16
CA2427739A1 (fr) 2002-05-10
JP2004534975A (ja) 2004-11-18
EP1358615A2 (fr) 2003-11-05

Similar Documents

Publication Publication Date Title
US10290070B2 (en) System and method for integrating data with guidelines to generate displays containing the guidelines and data
Kravitz et al. Comparing the use of physician time and health care resources among patients speaking English, Spanish, and Russian
US7991485B2 (en) System and method for obtaining, processing and evaluating patient information for diagnosing disease and selecting treatment
EP1062615B1 (fr) Systemes, methodes et programmes informatiques pour la surveillance, le diagnostic et le traitement d'etats pathologiques presentes par des patients situes a distance
US9081879B2 (en) Matrix interface for medical diagnostic and treatment advice system and method
Klinovszky et al. Associations of different adherences in patients with type 2 diabetes mellitus
JP2004534975A5 (fr)
CA2350766C (fr) Systeme de soins de sante pour patients
US20030120515A1 (en) Method and system for managing health
US20090177453A1 (en) Medical diagnosis support computer system, computer program, and server computer
US20120084101A1 (en) System and method for longitudinal disease management
JPWO2020059794A1 (ja) 情報処理方法、情報処理装置及びプログラム
JP6527771B2 (ja) 情報分析支援装置とその作動方法および作動プログラム、並びに情報分析支援システム
US20110087503A1 (en) System and method of providing patients incentives for healthy behaviors
US20050060199A1 (en) System and method for managing diseases according to standard protocols and linking patients to medication samples and related benefits
US20070136090A1 (en) System and method for macro-enhanced clinical workflow
JP7238705B2 (ja) 診療支援方法、診療支援システム、学習モデルの生成方法、および、診療支援プログラム
Arnold et al. Panel 3: methodological issues in conducting pharmacoeconomic evaluations—retrospective and claims database studies
Engle et al. Glucometrics: Where Are We Now?
Hummel Building a computerized disease registry for chronic illness management of diabetes.
US20110161103A1 (en) Systems and methods for electronic medical support
JP4298255B2 (ja) シート・タイプの検査結果表示方法および装置
US20110087077A1 (en) System and method of providing patients cost saving incentives for healthy behaviors
US20090048873A1 (en) Method and system to manage coronary artery disease care
JP2001005903A (ja) 電子式医療管理システム

Legal Events

Date Code Title Description
AS Assignment

Owner name: BECTON, DICKINSON AND COMPANY, NEW JERSEY

Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNORS:GORDON, TIM H.;DUNNE, NANCY A.;MAZZE, ROGER;AND OTHERS;REEL/FRAME:012803/0606;SIGNING DATES FROM 20020123 TO 20020326

AS Assignment

Owner name: STAGED DIABETES MANAGEMENT, LLC, MINNESOTA

Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNOR:BECTON, DICKINSON AND COMPANY;REEL/FRAME:015358/0847

Effective date: 20040519

STCB Information on status: application discontinuation

Free format text: ABANDONED -- FAILURE TO RESPOND TO AN OFFICE ACTION

点击 这是indexloc提供的php浏览器服务，不要输入任何密码和下载