ClinicalPath: A Visualization Tool to Improve the Evaluation of Electronic Health Records in Clinical Decision-Making

被引:1
|
作者
Linhares, Claudio D. G. [1 ]
Lima, Daniel M. [1 ,2 ]
Ponciano, Jean R. [3 ]
Olivatto, Mauro M. [4 ]
Gutierrez, Marco A. [2 ]
Poco, Jorge
Traina Jr, Caetano [1 ]
Traina, Agma J. M. [1 ]
机构
[1] Univ Sao Paulo, Inst Math & Comp Sci, BR-05508070 Sao Carlos, Brazil
[2] Univ Sao Paulo, Lab Informat Biomed, Inst Coracao, Hospitaldas Clin HCFMUSP,Fac Med, BR-05508070 Sao Paulo, Brazil
[3] Getulio Vargas Fdn, Sch Appl Math, BR-22250900 Rio De Janeiro, Brazil
[4] Fed Univ Fronteira Sul, Grad Course Med, BR-89802112 Chapeco, Brazil
基金
巴西圣保罗研究基金会;
关键词
Information visualization; interactive visualizations; human-computer interaction; electronic health records; GUIDANCE;
D O I
10.1109/TVCG.2022.3175626
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Physicians work at a very tight schedule and need decision-making support tools to help on improving and doing their work in a timely and dependable manner. Examining piles of sheets with test results and using systems with little visualization support to provide diagnostics is daunting, but that is still the usual way for the physicians' daily procedure, especially in developing countries. Electronic Health Records systems have been designed to keep the patients' history and reduce the time spent analyzing the patient's data. However, better tools to support decision-making are still needed. In this article, we propose ClinicalPath, a visualization tool for users to track a patient's clinical path through a series of tests and data, which can aid in treatments and diagnoses. Our proposal is focused on patient's data analysis, presenting the test results and clinical history longitudinally. Both the visualization design and the system functionality were developed in close collaboration with experts in the medical domain to ensure a right fit of the technical solutions and the real needs of the professionals. We validated the proposed visualization based on case studies and user assessments through tasks based on the physician's daily activities. Our results show that our proposed system improves the physicians' experience in decision-making tasks, made with more confidence and better usage of the physicians' time, allowing them to take other needed care for the patients.
引用
收藏
页码:4031 / 4046
页数:16
相关论文
共 50 条
  • [1] Electronic Health Records in Ophthalmology: Quantitative evaluation of progress note utility for clinical decision-making
    Glass, Sarah
    Rule, Adam
    Hribar, Michelle
    Hwang, Thomas S.
    Chiang, Michael F.
    [J]. INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 2020, 61 (07)
  • [2] Electronic Health Records: Improvement to Healthcare Decision-making
    Osop, Hamzah
    Sahama, Tony
    [J]. 2016 IEEE 18TH INTERNATIONAL CONFERENCE ON E-HEALTH NETWORKING, APPLICATIONS AND SERVICES (HEALTHCOM), 2016, : 312 - 317
  • [3] Commercial Influences on Electronic Health Records and Adverse Effects on Clinical Decision-making
    Taitsman, Julie K.
    VanLandingham, Andrew
    Grimm, Christi A.
    [J]. JAMA INTERNAL MEDICINE, 2020, 180 (07) : 925 - 926
  • [4] Clinical assistant decision-making model of tuberculosis based on electronic health records
    Wang, Mengying
    Lee, Cuixia
    Wei, Zhenhao
    Ji, Hong
    Yang, Yingyun
    Yang, Cheng
    [J]. BIODATA MINING, 2023, 16 (01)
  • [5] Clinical assistant decision-making model of tuberculosis based on electronic health records
    Mengying Wang
    Cuixia Lee
    Zhenhao Wei
    Hong Ji
    Yingyun Yang
    Cheng Yang
    [J]. BioData Mining, 16
  • [6] Economic evaluation as a decision-making tool in health care
    Araja, D.
    [J]. 3RD INTERNATIONAL INTERDISCIPLINARY SCIENTIFIC CONFERENCE ON SOCIETY. HEALTH. WELFARE - 1ST CONGRESS OF REHABILITATION DOCTORS OF LATVIA, 2012, 2
  • [7] Using electronic health data in clinical decision-making
    Radford, Alan D.
    Farrell, Sean
    Singleton, David A.
    McGarry, John
    Brant, Beth
    Pinchbeck, Gina J.
    Noble, P-J M.
    [J]. VETERINARY RECORD, 2023, 192 (07) : 298 - 298
  • [8] Development of a Visualization Tool for Healthcare Decision-Making using Electronic Medical Records: A Systems Approach to Viewing a Patient Record
    Mandell, Georgia A.
    Keating, Matthew B.
    Khayal, Inas S.
    [J]. SYSCON 2022: THE 16TH ANNUAL IEEE INTERNATIONAL SYSTEMS CONFERENCE (SYSCON), 2022,
  • [9] Leveraging data visualization to improve the use of data for global health decision-making
    Aung, Tricia
    Niyeha, Debora
    Heidkamp, Rebecca
    [J]. JOURNAL OF GLOBAL HEALTH, 2019, 9 (02)
  • [10] THE CHILD PSYCHIATRIST AS A CLINICAL INFORMATICIAN: ADAPTING ELECTRONIC HEALTH RECORDS (EHRS) TO ADVANCE CLINICAL DECISION-MAKING FOR CHILDREN'S MENTAL HEALTH
    Benson, Nicole
    [J]. JOURNAL OF THE AMERICAN ACADEMY OF CHILD AND ADOLESCENT PSYCHIATRY, 2019, 58 (10): : S68 - S69