WO2020246946A1 - Patient experience management system - Google Patents

Patient experience management system Download PDF

Info

Publication number
WO2020246946A1
WO2020246946A1 PCT/TR2019/050973 TR2019050973W WO2020246946A1 WO 2020246946 A1 WO2020246946 A1 WO 2020246946A1 TR 2019050973 W TR2019050973 W TR 2019050973W WO 2020246946 A1 WO2020246946 A1 WO 2020246946A1
Authority
WO
WIPO (PCT)
Prior art keywords
patient
performance
hospitals
server
responses
Prior art date
Application number
PCT/TR2019/050973
Other languages
French (fr)
Inventor
Abdurrahman Muhammed KUTUB
Original Assignee
Kutub Abdurrahman Muhammed
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 Kutub Abdurrahman Muhammed filed Critical Kutub Abdurrahman Muhammed
Priority to EP19924638.0A priority Critical patent/EP3791396A4/en
Priority to EA202190344A priority patent/EA202190344A1/en
Publication of WO2020246946A1 publication Critical patent/WO2020246946A1/en

Links

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
    • 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
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G06Q50/22—Social work
    • 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

Definitions

  • the invention/new method is to be used in hospitals and health institution, as a patient experience management system to, based on patients’ opinions of the services and treatments they got, measure, score, analyze, prioritize, cause detect, and troubleshoot/solve patient experience and performance related to patient experience.
  • the patient is requested to give a score to the service in form of average index score (0-100, 0-10, 0-5). This way the patients’ responses are recorded and quality of service is measured.
  • This method results in more generalized measurement that may not represent the true problem or indicate the proper solution (e.g. average score of patients waiting time is 60%, this does not represent the actual waiting time nor the reasons of delays, thus does not indicate what actions to be taken to improve patient experience)
  • the patient experience measurement systems obtain patient opinions and evaluations using classic forms of which the responses are used to score. These forms may not be accurate in measuring the patient experience.
  • patient experience measurement systems In the current patient experience measurement systems, patients are asked to evaluate only the outcomes of the services, without evaluating the processes of these services (e.g. patient is asked to evaluate the appointment service not the accessibility of the appointments, the requirements of the appointment, the date of nearest appointment, the helpfulness of the staff, the options given etc.) however, patient experience systems should measure the processes in each step the patient goes through from requesting an appointment or arriving at the hospital till the patient is treated and followed up including the duration of each of these steps.
  • the responses are taken from a preset number of patient sample (e.g. 30 patients per month) regardless of the number in patient population, which may result in statistical inaccuracy.
  • the invention is a patient experience management system that overcomes the flaws and shortages of the current measurement systems in addition to adding new advantages.
  • the aim of the invention is to manage the patient experience measurement using the Coefficient of Variation (CV) for the first time as patient experience management tool.
  • CV Coefficient of Variation
  • the invention aims also to use multiple tools at once to manage the patient experience measurement, analysis, and solution.
  • These tools are 1 ) average index score, 2) Coefficient of Variation, 3) occurrence pattern or Emax and Emin (the percentage of top and bottom responses), and 4) the trending from previous result.
  • the invention also aims, by using artificial intelligence matrices, to be a new patient experience management system that reduces human error, detects even the smallest of changes, detects tendencies and trends, understands problems, and warns about possible outcomes.
  • the inventios aims as well, by using the Coefficient of Variation (CV), to detect personnel vs systematic errors, decide the level of personnel engagement needed in solutions, detect temporary vs long term performance fluctuations, detect fake vs real reporting, detect changes in performance continuity even when scores are similar, detect changes in performance continuity even when scores are lower or higher, compare differences in performance between periods regardless of score, and thus becoming a new methodology in management of patient experience.
  • the invention aims as well, to be a new patient experience management system that measures the processes in each step of patient experience touch points as well as the outcome of these processes.
  • the above mentioned and described in details below invention is to be used in hospitals and health institution to manage patient experience with all the processes and touch points by reviewing patients’ responses to questionnaires and score performance, analyze responses, report performance, detect problems and troubleshoot.
  • the characteristics of this patient experience management system are: providing a thorough questionnaire covering all processes and touchpoints to the patients of any health institution, obtaining patients’ responses, obtaining results from the entries, scoring the performance, analyzing the responses, using Coefficient of Variation in analyzing responses, using occurrence pattern analysis, trending analysis, detecting causes of performance score, and providing troubleshooting for performance problems.
  • figure-1 patient experience management system invention view
  • Server via phone call, direct contact, SMS, or Email)
  • the patient experience management system (1 ) shown only to aid understanding, without being limited to this.
  • This description elaborates, the patient experience management system (1 ) used by hospitals and health institution (40), based on patient(s) (10) opinions of provided services and processes, for scoring, analyzing, reporting, performance detecting, and solutions suggesting and prioritizing.
  • the patient experience management system (1 ) is shown.
  • the patient experience management system (1 ) the patient(s) (10) defines the patients who use services and treatments in hospitals and healt institution (40) that use the patient experience management system (1 ).
  • a thorough questionnaire (20) that covers all the processes and touchpoints is applied to patient(s) (10) in the hospitals and health institution (40).
  • the responses that patient(s) (10) give to the thorough questionnaires (20) are entered in the server (30) to be processed by the Artificial Intelligence based matrix (31 ) to report score, Coefficient of Variation, occurrence pattern, and trending.
  • the Artificial Intelligence based matrix (31 ) analyzes these reports and detects performance variations and detects causes and suggests solutions, and prioritizes. For example, for a certain procedure it may detect that the staff count is low and suggest increasing staff count. In the continuation of this, the Artificial Intelligence based matrix (31 ) analysis results are fed through the server (30) to the hospitals and health institution (40) in agreed intervals (i.e. real-time, weekly or monthly).
  • the patient experience management system (1 ) works in the following way: patient(s) (10) contact details are obtained from hospitals and health institution (40) that the patient(s) (10) visited and been treated in. those patient(s) (10) are then contacted and asked about their opinions about the services they got in the hospitals and health institution (40) by answering a thorough questionnaire (20). Those patient(s) (10) responses are entered to the server (30) to be analyzed by the Artificial Intelligence based matrix (31 ), which reports patient(s) (10) responses score, Coefficient of Variation, occurrence patterns, and trending. The Artificial Intelligence based matrix (31 ) analyzes these data to report performance, detect causes of performance alterations, and suggest solutions and prioritizes. The results are then fed through the server (30) to hospitals and health institution (40) on agreed intervals 9i.e. real-time, weekly, monthly, etc.)

Abstract

The invention, to be presented for use in hospitals and health institution, is a patient experience management system that measures performance by asking patients' opinions on the services provided in the hospitals and health institution using thorough questionnaires and analyze the patients' responses to score the performance, detect causes of performance alterations, and suggest solutions and prioritizing. This patient experience management system (1) has the following characteristics: using contacts of patient(s) (10) that are provided by hospitals and health institution (40), the patient(s) (10) are contacted and asked about their opinions on the provided services and treatments in the hospitals and health institution (40), the opinions of the patient(s) (10) are asked using thorough questionnaires (20). The responses of the patient(s) (10) on these questionnaires (20) questions are entered in a server (30) that has a built in Artificial Intelligence based matrix (31). The server (30) with its built in Artificial Intelligence based matrix (31) analyzes the responses and report the score, the Coefficient of Variation, the occurrence pattern, and trending. The server (30) with its built in Artificial Intelligence based matrix (31) then analyzes the score, the Coefficient of Variation, the occurrence pattern, and trending all together to report performance, detect causes of performance alterations, and suggest solutions and prioritizing. These results are then fed by the server (30) to the hospitals and health institution (40) on agreed intervals (real-time, weekly, monthly, etc.)

Description

PATIENT EXPERIENCE MANAGEMENT SYSTEM Technical field:
The invention/new method, is to be used in hospitals and health institution, as a patient experience management system to, based on patients’ opinions of the services and treatments they got, measure, score, analyze, prioritize, cause detect, and troubleshoot/solve patient experience and performance related to patient experience.
Background of the Invention Hospitals and health institution are centers where patients get treatment. Health is the most important need for mankind. In the recent years, as a result of the consumerism life style, an increase in health-related problems is documented. As a result of the of this increase, hospitals are getting crowded and a drop in the quality of services is likely to happen. To prevent this drop, hospitals continuously measure patient experience and detect the drops in quality, then try to redesign the processes improving the conditions and removing factors that lead to reducing quality of services. The invention in this description is a system that measures the patient experience to be used in hospitals and health institution.
In the current techniques, to measure the patient experience, the patient is requested to give a score to the service in form of average index score (0-100, 0-10, 0-5). This way the patients’ responses are recorded and quality of service is measured. This method results in more generalized measurement that may not represent the true problem or indicate the proper solution (e.g. average score of patients waiting time is 60%, this does not represent the actual waiting time nor the reasons of delays, thus does not indicate what actions to be taken to improve patient experience)
In the current techniques, the patient experience measurement systems obtain patient opinions and evaluations using classic forms of which the responses are used to score. These forms may not be accurate in measuring the patient experience.
Most of the current patient experience measurement systems do not use artificial intelligence for analysis, which may result in human errors.
In the current patient experience measurement systems, patients are asked to evaluate only the outcomes of the services, without evaluating the processes of these services (e.g. patient is asked to evaluate the appointment service not the accessibility of the appointments, the requirements of the appointment, the date of nearest appointment, the helpfulness of the staff, the options given etc.) however, patient experience systems should measure the processes in each step the patient goes through from requesting an appointment or arriving at the hospital till the patient is treated and followed up including the duration of each of these steps.
The current patient experience measurement systems, the responses are taken from a preset number of patient sample (e.g. 30 patients per month) regardless of the number in patient population, which may result in statistical inaccuracy.
Finally, there is a need for a patient experience management system that overcomes the flaws in the current measurement systems. Brief Description of the Invention:
The invention is a patient experience management system that overcomes the flaws and shortages of the current measurement systems in addition to adding new advantages.
The aim of the invention is to manage the patient experience measurement using the Coefficient of Variation (CV) for the first time as patient experience management tool.
The invention aims also to use multiple tools at once to manage the patient experience measurement, analysis, and solution. These tools are 1 ) average index score, 2) Coefficient of Variation, 3) occurrence pattern or Emax and Emin (the percentage of top and bottom responses), and 4) the trending from previous result. By using all 4 of these tools together in a formula to measure the patient experience results, is a new methodology.
The invention also aims, by using artificial intelligence matrices, to be a new patient experience management system that reduces human error, detects even the smallest of changes, detects tendencies and trends, understands problems, and warns about possible outcomes.
The inventios aims as well, by using the Coefficient of Variation (CV), to detect personnel vs systematic errors, decide the level of personnel engagement needed in solutions, detect temporary vs long term performance fluctuations, detect fake vs real reporting, detect changes in performance continuity even when scores are similar, detect changes in performance continuity even when scores are lower or higher, compare differences in performance between periods regardless of score, and thus becoming a new methodology in management of patient experience. The invention aims as well, to be a new patient experience management system that measures the processes in each step of patient experience touch points as well as the outcome of these processes. The above mentioned and described in details below invention is to be used in hospitals and health institution to manage patient experience with all the processes and touch points by reviewing patients’ responses to questionnaires and score performance, analyze responses, report performance, detect problems and troubleshoot. The characteristics of this patient experience management system are: providing a thorough questionnaire covering all processes and touchpoints to the patients of any health institution, obtaining patients’ responses, obtaining results from the entries, scoring the performance, analyzing the responses, using Coefficient of Variation in analyzing responses, using occurrence pattern analysis, trending analysis, detecting causes of performance score, and providing troubleshooting for performance problems.
Brief Description Of The Drawings
The invention will be described in the enclosed objects, to make it clearer and more understandable. This is not to limit the invention to be used only in this way, on the contrary, the invention is to be used by the enclosed requests in any alternative, different, or equivalent forms. The shown objects are to clarify the suggested method of use for the system and to show the logic behind its rules and to objectify the variables.
In this draw; figure-1 patient experience management system invention view.
To help understand the invention, the attached drawings are defined as follows in numbering manner with the corresponding names of each number: Description of References
1. Patient experience management system
10. Patient
20. Questionnaire
30. Server (via phone call, direct contact, SMS, or Email)
31. Artificial Intelligence based matrix
40. Hospital and health institution Detailed Description of the Invention
In this detailed description, the patient experience management system (1 ), shown only to aid understanding, without being limited to this. This description elaborates, the patient experience management system (1 ) used by hospitals and health institution (40), based on patient(s) (10) opinions of provided services and processes, for scoring, analyzing, reporting, performance detecting, and solutions suggesting and prioritizing.
In fig-1 , the invention in this description, the patient experience management system (1 ) is shown. According to the drawings in object-1 , the patient experience management system (1 ), the patient(s) (10) defines the patients who use services and treatments in hospitals and healt institution (40) that use the patient experience management system (1 ). A thorough questionnaire (20) that covers all the processes and touchpoints is applied to patient(s) (10) in the hospitals and health institution (40). The responses that patient(s) (10) give to the thorough questionnaires (20) are entered in the server (30) to be processed by the Artificial Intelligence based matrix (31 ) to report score, Coefficient of Variation, occurrence pattern, and trending. The Artificial Intelligence based matrix (31 ) analyzes these reports and detects performance variations and detects causes and suggests solutions, and prioritizes. For example, for a certain procedure it may detect that the staff count is low and suggest increasing staff count. In the continuation of this, the Artificial Intelligence based matrix (31 ) analysis results are fed through the server (30) to the hospitals and health institution (40) in agreed intervals (i.e. real-time, weekly or monthly).
The patient experience management system (1 ) works in the following way: patient(s) (10) contact details are obtained from hospitals and health institution (40) that the patient(s) (10) visited and been treated in. those patient(s) (10) are then contacted and asked about their opinions about the services they got in the hospitals and health institution (40) by answering a thorough questionnaire (20). Those patient(s) (10) responses are entered to the server (30) to be analyzed by the Artificial Intelligence based matrix (31 ), which reports patient(s) (10) responses score, Coefficient of Variation, occurrence patterns, and trending. The Artificial Intelligence based matrix (31 ) analyzes these data to report performance, detect causes of performance alterations, and suggest solutions and prioritizes. The results are then fed through the server (30) to hospitals and health institution (40) on agreed intervals 9i.e. real-time, weekly, monthly, etc.)

Claims

1 ) The invention, being a patient experience management system (1 ) to be used by hospitals and health institution (40), to, based on patient(s) (10) opinions of the provided services, provide scoring of performance, analyzing of responses, reporting of performance, detecting of causes of performance alterations, and suggesting solutions and prioritizing, has the following characteristics:
- including a thorough questionnaire (20) that covers all the processes and touchpoints that patient(s) (10) go through in hospitals and health institution (40),
- including a server (30) to which the thorough questionnaire (20) responses of patient(s) (10) opinions are entered,
- the server (30) has a built in Artificial Intelligence based matrix (31 ) that analyzes patient(s) (10) responses and reports score, Coefficient of
Variation, occurrence pattern, and trending, then analyze these data together to report performance, detect causes of performance alterations, and suggest solutions and prioritize,
2) According to claim 1 , being a patient experience management system (1 ), its characteristic is: using Coefficient of Variation (CV) as a tool to analyze patient(s) (10) responses to thorough questionnaires (20) that are entered to the server (30) that has a built in Artificial Intelligence based matrix (31 )
3) The invention, by being used in hospitals and health institution, based on patients opinions of the services and treatments provided, is a patient experience management system that scores, reports performance, detects causes of performance alterations, and suggest solutions and prioritize, through the following characteristics:
- contacting patient(s) (10) using hospitals and health institution (40) provided patient(s) (10) contacts,
applying thorough questionnaires (20) to obtain opinions of services given to patient(s) (10) in hospitals and health institution (40), - entering patient(s) (10) responses in the server (30) that has a built in Artificial Intelligence based matrix (31 ),
- the Artificial Intelligence based matrix (31 ) in the server (30) analyzes patient(s) (10) responses and reports score, Coefficient of Variation, Occurrence Pattern, and trends,
- the score, Coefficient of Variation, Occurrence Pattern, and trends are analyzed together in the server (30) using the Artificial Intelligence based matrix (31 ) and reports performance, detects causes of performance alterations, and suggests solution and prioritizes,
- the Artificial Intelligence based matrix (31 ) feeds the reports through the server (30) to the hospitals and health institution (40) on agreed intervals (i.e. real-time, weekly, monthly, etc.).
PCT/TR2019/050973 2019-10-31 2019-11-19 Patient experience management system WO2020246946A1 (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
EP19924638.0A EP3791396A4 (en) 2019-10-31 2019-11-19 Patient experience management system
EA202190344A EA202190344A1 (en) 2019-10-31 2019-11-19 PATIENT IMPRESSION MANAGEMENT SYSTEM

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
TR2019/16791 2019-10-31
TR2019/16791A TR201916791A1 (en) 2019-10-31 2019-10-31 A PATIENT EXPERIENCE MEASUREMENT SYSTEM

Publications (1)

Publication Number Publication Date
WO2020246946A1 true WO2020246946A1 (en) 2020-12-10

Family

ID=73020025

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/TR2019/050973 WO2020246946A1 (en) 2019-10-31 2019-11-19 Patient experience management system

Country Status (4)

Country Link
EP (1) EP3791396A4 (en)
EA (1) EA202190344A1 (en)
TR (1) TR201916791A1 (en)
WO (1) WO2020246946A1 (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20210060790A1 (en) * 2019-08-30 2021-03-04 AR & NS Investment, LLC Artificial intelligence-based robotic system for physical therapy

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20070179811A1 (en) * 2006-01-30 2007-08-02 Bruce Reiner Method and apparatus for generating an administrative quality assurance scorecard
TW201145209A (en) * 2010-06-08 2011-12-16 Chi Mei Medical Ct Satisfaction degree survey method and system
WO2017022013A1 (en) * 2015-07-31 2017-02-09 株式会社ＦｉＮＣ Health management server, health-management-server control method, and health management program
US20180121609A1 (en) * 2016-11-01 2018-05-03 Alexandra Coren METHOD and COMPUTER PROGRAM FOR PROVIDING A HEALTHCARE MANAGEMENT PLATFORM
US20180330802A1 (en) * 2017-05-15 2018-11-15 Koninklijke Philips N.V. Adaptive patient questionnaire generation system and method
WO2019022085A1 (en) * 2017-07-24 2019-01-31 アクシオンリサーチ株式会社 Assistance system for estimating internal state of system-of-interest
US20190189259A1 (en) * 2017-12-20 2019-06-20 Gary Wayne Clark Systems and methods for generating an optimized patient treatment experience

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10114814B1 (en) * 2015-09-28 2018-10-30 NarrativeDX, Inc. System and method for actionizing patient comments

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20070179811A1 (en) * 2006-01-30 2007-08-02 Bruce Reiner Method and apparatus for generating an administrative quality assurance scorecard
TW201145209A (en) * 2010-06-08 2011-12-16 Chi Mei Medical Ct Satisfaction degree survey method and system
WO2017022013A1 (en) * 2015-07-31 2017-02-09 株式会社ＦｉＮＣ Health management server, health-management-server control method, and health management program
US20180121609A1 (en) * 2016-11-01 2018-05-03 Alexandra Coren METHOD and COMPUTER PROGRAM FOR PROVIDING A HEALTHCARE MANAGEMENT PLATFORM
US20180330802A1 (en) * 2017-05-15 2018-11-15 Koninklijke Philips N.V. Adaptive patient questionnaire generation system and method
WO2019022085A1 (en) * 2017-07-24 2019-01-31 アクシオンリサーチ株式会社 Assistance system for estimating internal state of system-of-interest
US20190189259A1 (en) * 2017-12-20 2019-06-20 Gary Wayne Clark Systems and methods for generating an optimized patient treatment experience

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
See also references of EP3791396A4 *

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20210060790A1 (en) * 2019-08-30 2021-03-04 AR & NS Investment, LLC Artificial intelligence-based robotic system for physical therapy
US11903679B2 (en) * 2019-08-30 2024-02-20 AR & NS Investment, LLC Artificial intelligence-based robotic system for physical therapy

Also Published As

Publication number Publication date
EA202190344A1 (en) 2021-05-31
EP3791396A4 (en) 2021-05-12
EP3791396A1 (en) 2021-03-17
TR201916791A1 (en) 2021-05-21

Similar Documents

Publication Publication Date Title
Ozminkowski et al. The application of two health and productivity instruments at a large employer
Terry et al. Employee adjustment to stress: The role of coping resources, situational factors, and coping responses
US20170300655A1 (en) Apparatus and methodologies for personal health analysis
Tolga Taner et al. Application of Six Sigma methodology to a diagnostic imaging process
US20040267570A1 (en) Method for information and management system for health care
WO2008057606A2 (en) Predicting patient compliance with medical treatment
US10593000B2 (en) System and method for determining thresholds or a range of values used to allocate patients to a treatment level of a treatment program
US20140324553A1 (en) Computer-Assisted Method for Adaptive, Risk-Based Monitoring of Clinical Studies
Cattran et al. Post-injury personality in the prediction of outcome following severe acquired brain injury
US20160358282A1 (en) Computerized system and method for reducing hospital readmissions
Tolga Taner et al. An application of Six Sigma methodology to turnover intentions in health care
Margrove et al. The Demands-Resources-Individual Effects (DRIVE) Model: Past, Present, and Future Research
WO2020206172A1 (en) Confidence evaluation to measure trust in behavioral health survey results
Knox et al. Observed intra-cluster correlation coefficients in a cluster survey sample of patient encounters in general practice in Australia
WO2020246946A1 (en) Patient experience management system
US20240062914A1 (en) Systems and methods for allocating resources in mental health treatment
Polat et al. Teleglaucoma initiative at a veterans affairs hospital: pilot safety data and early experience
US20030046305A1 (en) Method and system for assisting a professional person to advise a client
JP2002263107A (en) Stress information management system
US20220020499A1 (en) Method and system for determining a relative risk for lack of glycemic control for a plurality of patients
Ashmead et al. Adaptive intervention methodology for reduction of respondent contact burden in the American Community Survey
Tareen et al. The Future of Emergency Room Assistance
TARAJ et al. Assessment of students' academic stress levels during the COVID-19 pandemic.
US20220270716A1 (en) Confidence evaluation to measure trust in behavioral health survey results
Charlesworth et al. Patient-reported outcome and experience measures (POEM) of a community-based glaucoma clinic in Cambridge, UK: an observational study

Legal Events

Date Code Title Description
ENP Entry into the national phase

Ref document number: 2019924638

Country of ref document: EP

Effective date: 20201019

ENP Entry into the national phase

Ref document number: 2019924638

Country of ref document: EP

Effective date: 20201019

NENP Non-entry into the national phase

Ref country code: DE