AU2019100889A4 - System and method to find minimum diagnostics required for prescriptions and minimum medicines required to cure patient symptoms - Google Patents

System and method to find minimum diagnostics required for prescriptions and minimum medicines required to cure patient symptoms Download PDF

Info

Publication number
AU2019100889A4
AU2019100889A4 AU2019100889A AU2019100889A AU2019100889A4 AU 2019100889 A4 AU2019100889 A4 AU 2019100889A4 AU 2019100889 A AU2019100889 A AU 2019100889A AU 2019100889 A AU2019100889 A AU 2019100889A AU 2019100889 A4 AU2019100889 A4 AU 2019100889A4
Authority
AU
Australia
Prior art keywords
patient
unnecessary
medicines
prescription
tests
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.)
Ceased
Application number
AU2019100889A
Inventor
Chinmoy Mukherjee
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.)
Individual
Original Assignee
Individual
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 Individual filed Critical Individual
Priority to AU2019100889A priority Critical patent/AU2019100889A4/en
Application granted granted Critical
Publication of AU2019100889A4 publication Critical patent/AU2019100889A4/en
Ceased legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/48Other medical applications
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H20/00ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
    • G16H20/10ICT 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
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/48Other medical applications
    • A61B5/4848Monitoring or testing the effects of treatment, e.g. of medication
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/70ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients

Landscapes

  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • General Health & Medical Sciences (AREA)
  • Public Health (AREA)
  • Medical Informatics (AREA)
  • Physics & Mathematics (AREA)
  • Pathology (AREA)
  • Primary Health Care (AREA)
  • Medicinal Chemistry (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Chemical & Material Sciences (AREA)
  • Biophysics (AREA)
  • Epidemiology (AREA)
  • Biomedical Technology (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Molecular Biology (AREA)
  • Surgery (AREA)
  • Animal Behavior & Ethology (AREA)
  • Veterinary Medicine (AREA)
  • Medical Treatment And Welfare Office Work (AREA)

Abstract

A system to find minimum diagnostics required for prescription(s), comprising: an input module configured to receive input corresponding to a patient's symptoms, diagnosis data and the prescription; a diagnosis comprising of one or more test results a prescription comprising of one or more medicines; and a unnecessary tests module configured to: identify minimum diagnostics required for prescription(s). System and method to find minimum diagnostics required for prescriptions and minimum medicines required to cure patient symptoms Drawings: If prescription does not vary based on a test result being normal/abnormal/above normal/below normal the test is redundant 102 If prescription varies for test being normal/abnormal/above normal/below normal in the same way for another test2 being normal/abnormal/above normal/below normal, one of the test is redundant If test result is normal/above normal/abnormal/below normal for more than configurable percentage for the prescription set, 106 the test will be flagged as possibly redundant Figure 1

Description

System and method to find minimum diagnostics required for prescriptions and minimum medicines required to cure patient symptoms
Field of invention [1] The present invention relates to making healthcare more affordable without compromising quality. More specifically, the present invention provides system and method to find out minimum diagnostics required for prescription(s). It also provides method to find out minimum medicine(s) o required for curing patient symptom(s).
Background of the invention [2] In the healthcare industry, significant emphasis is provided to the management of resources. Forecasting and scheduling of resources are the key factors in efficient management of resources. Clinical pathways also referred to as care pathways, critical pathways, integrated care pathways or care maps, represent the sequence of medical procedures for treatment of patients. A clinical pathway is determined based on data gathered from outcome of medical examination and medical diagnostics of a patient.
[3] Various models, based on queuing theory and simulation, are used for forecasting clinical pathways and managing resources in healthcare systems. Σ OX 03 Q2019100889 17 Aug 2019
These models focus on solving resource management problems, analyzing information flows within the healthcare systems, estimating resource requirements and so forth. Further, these models estimate the effect of demographic factors and service characteristics on capacity management in the healthcare systems. These estimates are used for reducing cost of healthcare service and improving quality of healthcare services simultaneously.
[4] Consequently, there is a need for a method and system to determine the medical test(s) required to arrive at prescription(s) and the minimum o medicine(s) required to cure patient symptom(s). This will minimize diagnostics needed for patient. This will minimize medicines needed to cure patient symptom(s). This will reduce the time and cost of treatment significantly.
Summary of the invention [5] A system and method for determining minimum diagnostics required for prescription(s). In various embodiments of the invention, the system comprises of an input module. The input module is configured to receive patient symptoms, diagnosis, patient test results and prescribed medicines as inputs. Patient's symptoms pertain to the symptoms experienced by the patient due to a diseases or an ailment.
[6] The system further comprises of a repository configured to store data.
<υ or
In various embodiments of the present invention, the data comprises at
2019100889 17 Aug 2019 least one of patient data. In an embodiment of the present invention, the patient data comprises at least one of the patient symptoms, patient test results, diagnosis and prescribed medicines data received from the input module; in addition, patient historical data comprising historical treatment data of the patient; and patient demographic data comprising demographic details of the patient may be used.
[7] The system further comprises a unnecessary tests module configured to find test(s) having maximum level of association for each medicine in the prescription. Additional criteria like cost may also be applied.
[8] In one of the embodiments of the present invention, the unnecessary tests module is further configured to identify unnecessary tests.
[9] The system further comprises a unnecessary medicines module configured to accept feedback about efficacy of a medicine to cure symptom(s). Feedback may be empty.
[10] The unnecessary medicine module is further configured to find medicine(s) having maximum level of association with a symptom.
Additional criteria like cost may also be applied.
[11] In one of the embodiments of the present invention, the unnecessary medicines module is further configured to remove spurious feedback from patient. The unnecessary medicines module is further configured to identify medicine(s) that are not required to cure patient symptom(s).
OQ <υ ωο 03 Q2019100889 17 Aug 2019
Brief description of the accompanying drawings [12] The present invention is described by way of embodiments illustrated in the accompanying drawings wherein:
[13] Figure 1 illustrates a flowchart for identifying unnecessary tests using test results and prescriptions.
[14] Figure 2 illustrates a flowchart for identifying minimum diagnostics required fora prescription.
[15] Fig ure 3 illustrates overall system architecture.
o [16] Figure 4 illustrates a flowchart for identifying unnecessary medicines for symptom(s).
[17] Figure 5 illustrates a flowchart for identifying minimum medicine(s) required to cure patient symptom(s).
Detailed description of the invention [18] The present invention provides a system to enhance the efficiency of healthcare providers by reducing unnecessary tests and medicines.
[19] The system is enabled to receive patient symptoms, patient test results, patient diagnosis, patient prescription, patient's feedback for medicines as input through the input module 312. The input module 312 is further enabled to receive input related to patient's demographic data, past <υ
Q2019100889 17 Aug 2019 ailments, past treatment related data, recommendations of a medical practitioner.
[20] The system further comprises of unnecessary tests module 320 to analyze data. The module is configured to find test(s) having maximum level of association for each medicine in the prescription. The step is repeated till all medicines are covered.
[21] The unnecessary tests module 320 is further configured to identify all tests whose results are not used to derive prescribed medicine.
[22] The unnecessary tests module 320 further notifies list of unnecessary o tests for prescription(s) to the approved medical practitioner. The medical expert can either approve or reject or request for more information from doctor for the unnecessary test classification.
[23] The unnecessary tests module 320 updates it's configuration based on expert's decision to approve/reject the unnecessary test classification.
[24] The unnecessary tests module is further enabled to find out test with maximum level association for each prescribed medicine. Additional criteria like cost may also be applied.
[25] One of the tests undergone by the patient is classified as relevant if the test has been used in deriving the final diagnosis/the prescription.
[26] One of the tests undergone by the patient is classified as unnecessary if the test has not been used to derive prescription.
LO
Page
2019100889 17 Aug 2019 [27] The unnecessary tests module 320 is further configured to list all the tests undergone by the patient that have not been used by the medical practitioner to derive prescription.
[28] The unnecessary tests module 320 is further configured to notify medical expert about the unnecessary tests. The approved medical practitioner will either approve or reject or request for more information for the unnecessary tests classification.
[29] The unnecessary tests module 320 is further configured to update it's configuration based on medical expert's approval/rejection.
[30] The system further comprises of unnecessary medicines module which is configured to accept feedback about efficacy of a medicine to cure symptom(s) from patients.
[31] The unnecessary medicine module 322 is further configured to find medicine(s) having maximum level of association with each symptom.
Additional criteria like cost may also be applied.
[32] The unnecessary medicines module 322 is further configured to remove spurious feedback from patient.
[33] The unnecessary medicines module 322 is further configured to identify unnecessary medicines.
[34] The unnecessary medicines module 322 is further configured to maintain data related to patient symptoms, medicines prescribed and <υ
Qefficacy of the medicines.
2019100889 17 Aug 2019 [35] The unnecessary medicines module 322 further notifies list of unnecessary medicines for patient symptom(s) to the approved medical practitioner. The approved medical practitioner can either approve or reject or request for more information from doctor for the unnecessary medicines classification.
[36] The unnecessary medicines module 322 updates it's configuration based on expert's decision to approve/reject the unnecessary medicines classification.
Q2019100889 17 Aug 2019
System and method to find minimum diagnostics required for prescriptions and minimum medicines required to cure patient symptoms
Claims:

Claims (19)

  1. 5 1. A system to find minimum diagnostics required for prescription(s), comprising:
    an input module configured to receive input corresponding to a patient's symptoms, diagnosis data and the prescription;
    a diagnosis comprising of one or more test results o a prescription comprising of one or more medicines; and a unnecessary tests module configured to:
    identify minimum diagnostics required for prescription(s).
  2. 2. The system of claim 1, wherein the unnecessary tests module is further configured to flag one or more tests from the list of tests
    15 undergone by the patient without contributing to prescription.
  3. 3. The system of claim 1, wherein the unnecessary tests module is further configured to notify expert doctors about unnecessary tests.
    Q-
    2019100889 17 Aug 2019
  4. 4. The system of claim 1, wherein the unnecessary tests module is further configured to update it's configuration based on expert's acceptance/rejection of the classification;
  5. 5. The system of claim 1, wherein test results are represented using
    5 following data model:
    testname l = <testresultl>:testname2=<testresult2>...tesnameN = < testresultN>. Any delimiter may be used for implementation
  6. 6. A computer implemented method to evaluate the efficacy of medical tests prescribed by a medical practitioner, comprising:
    o finding how prescription varies based on a test result being normal, abnormal, above normal, below normal;
    Listing unnecessary tests that are not used for prescription(s), and notifying one or more approved medical practitioners;
    updating the configuration with results of subsequent analysis
    5 performed by the one or more approved medical practitioners.
  7. 7. The method of claim 6, wherein comparing further comprises:
    gathering patient data, the patient data comprising:
    a patient's demographic details;
    symptoms experienced by the patient;
    20 retrieving the list of tests prescribed by the medical practitioner;
    and retrieving diagnosis and prescriptions corresponding to the symptoms experienced by the patient bD re Q2019100889 17 Aug 2019
  8. 8. The method of claim 6, further comprising:
    checking for test results from a list of tests undergone by the patient in diagnosis data, wherein diagnosis data comprises at least one of a decision made by the medical practitioner and a list of
    5 tests undergone by the patient;
    highlighting the test results that have not been used in arriving to provide diagnosis and notifying the one or more approved medical practitioners of the highlighted test results;
    Reporting unnecessary tests for prescription(s) on a periodic basis.
    o
  9. 9. A system to find out minimum medicine(s) required to cure patient symptom(s), comprising:
    an input module configured to receive input corresponding to a patient's symptoms, diagnosis, prescriptions and feedback for medicines;
    5 one or more repositories comprising at least one of:
    Symptoms data comprising symptoms of one or more illnesses;
    Prescriptions comprising of one or more medicines;
    Diagnosis data of patient;
    Feedback data comprising at least one feedback for a medicine ry
    20 consumed by the patient; V
    Q2019100889 17 Aug 2019
    Unnecessary medicines module configured to identify minimum medicines required to cure patient symptom(s).
  10. 10. The system of claim 9, wherein the unnecessary medicines module is further configured to identify unnecessary medicines for
    5 patient symptom(s).
  11. 11. The system of claim 9, wherein the unnecessary medicines module is further configured to notify expert doctors about unnecessary medicine(s) corresponding to patient symptom(s).
  12. 12. The system of claim 9, wherein the unnecessary medicines o module is further configured to update it's configuration based on expert's acceptance/rejection of the medicine classification;
  13. 13. The system of claim 9, wherein the unnecessary medicines module is further configured to find medicine(s) which do not cure symptom(s) or induces major side effect(s).
    .5
  14. 14. The system of claim 9, wherein feedback for medicines are represented using following data model:
    medicinenamel=symptoml,symptom2...,symptomMl;feedbac kl,feedback2...,feedbackMl | medicinename2=symptoml,symp
    20 tom2...,symptomM2;feedbackl,feedback2...,feedbackM2| medic inenameN=symptoml,symptom2...,symptomMN;feedbackl, feedback2...,feedbackMN. &
    Q2019100889 17 Aug 2019
  15. 15. The system of claim 9, a score is assigned to each medicine against symptom(s) using degree of association with symptom(s) and patient feedback.
  16. 16. A computer implemented method to evaluate the efficacy of
    5 medicine(s) for curing patient symptom(s), comprising:
    finding medicine(s) curing one or more symptoms with least side effects;
    Flagging one or more medicines as unnecessary from the list of medicines prescribed by a medical practitioner and notifying o one or more approved medical practitioners;
    Updating the configuration with results of subsequent analysis performed by the one or more approved medical practitioners.
  17. 17. The method of claim 16, wherein analyzing further comprises: gathering patient data, the patient data comprising:
    5 a patient's demographic details;
    symptoms experienced by the patient;
    diagnosis of the patient; prescription of the patient; feedback of the patient;
  18. 18. The method of claim 16, further comprising:
    Page
    2019100889 17 Aug 2019
    Identifying unnecessary medicines for each symptom and notifying about those unnecessary medicines to one or more approved medical practitioners of the highlighted test results;
    reporting the unnecessary medicine(s) for patient symptom(s) on a
    5 periodic basis.
  19. 19. The method of claim 16, further comprising:
    updating the configuration with results of subsequent analysis performed by the one or more approved medical practitioners.
AU2019100889A 2019-08-13 2019-08-13 System and method to find minimum diagnostics required for prescriptions and minimum medicines required to cure patient symptoms Ceased AU2019100889A4 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
AU2019100889A AU2019100889A4 (en) 2019-08-13 2019-08-13 System and method to find minimum diagnostics required for prescriptions and minimum medicines required to cure patient symptoms

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
AU2019100889A AU2019100889A4 (en) 2019-08-13 2019-08-13 System and method to find minimum diagnostics required for prescriptions and minimum medicines required to cure patient symptoms

Publications (1)

Publication Number Publication Date
AU2019100889A4 true AU2019100889A4 (en) 2019-09-12

Family

ID=67848654

Family Applications (1)

Application Number Title Priority Date Filing Date
AU2019100889A Ceased AU2019100889A4 (en) 2019-08-13 2019-08-13 System and method to find minimum diagnostics required for prescriptions and minimum medicines required to cure patient symptoms

Country Status (1)

Country Link
AU (1) AU2019100889A4 (en)

Similar Documents

Publication Publication Date Title
Pevnick et al. Improving admission medication reconciliation with pharmacists or pharmacy technicians in the emergency department: a randomised controlled trial
Gonçalves‐Bradley et al. Primary care professionals providing non‐urgent care in hospital emergency departments
AU2003293339B2 (en) Systems and methods for automated extraction and processing of billing information in patient records
US20060047188A1 (en) Method and system for triage of emergency patients
US20050137910A1 (en) Systems and methods for automated extraction and processing of billing information in patient records
US11923094B2 (en) Monitoring predictive models
US20050234740A1 (en) Business methods and systems for providing healthcare management and decision support services using structured clinical information extracted from healthcare provider data
WO2017214181A1 (en) System and method for dynamic healthcare insurance claims decision support
CN112151170A (en) Method for calculating a score of a medical advice for use as a medical decision support
US20180137943A1 (en) Patient handoff device, system and predictive method
Kuntz et al. Separate and concentrate: Accounting for patient complexity in general hospitals
US20170169181A1 (en) Patient-Case Sorting Method for Medical Procedures
US20090204439A1 (en) Apparatus and method for managing electronic medical records embedded with decision support tools
US11966374B2 (en) Medical clinical data quality analysis system based on big data
Jian et al. Evaluating performance of local case‐mix system by international comparison: a case study in Beijing, China
US20090119323A1 (en) Method and system for reducing a data set
Dziadkowiec et al. Improving the quality and design of retrospective clinical outcome studies that utilize electronic health records
Etzioni et al. Infectious surgical complications are not dichotomous: characterizing discordance between administrative data and registry data
Hewner et al. Comparative effectiveness of risk-stratified care management in reducing readmissions in medicaid adults with chronic disease
AU2019100889A4 (en) System and method to find minimum diagnostics required for prescriptions and minimum medicines required to cure patient symptoms
CN111145904A (en) Information-based integrated chronic disease management system and method
Zrelak et al. How accurate is the AHRQ Patient Safety Indicator for hospital-acquired pressure ulcer in a national sample of records?
KR102419256B1 (en) Method and apparatus for providing community service based on medical information
Sockolow et al. Incongruence of patient problem information across three phases of home care admission: There’sa problem with the problem list
US20170024784A1 (en) Computer System and Cost Calculating Method

Legal Events

Date Code Title Description
FGI Letters patent sealed or granted (innovation patent)
MK22 Patent ceased section 143a(d), or expired - non payment of renewal fee or expiry