Title
ClinicalPath: a Visualization tool to Improve the Evaluation of Electronic Health Records in Clinical Decision-Making
Date Issued
01 January 2022
Access level
open access
Resource Type
journal article
Author(s)
Linhares C.D.G.
Lima D.M.
Ponciano J.R.
Olivatto M.M.
Gutierrez M.A.
Traina C.
Traina A.J.M.
Instituto de Matemática Pura y Aplicada
Publisher(s)
IEEE Computer Society
Abstract
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 paper, 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.
Language
English
OCDE Knowledge area
Biotecnología médica Ingeniería eléctrica, Ingeniería electrónica Biotecnología relacionada con la salud
Scopus EID
2-s2.0-85130495354
Source
IEEE Transactions on Visualization and Computer Graphics
ISSN of the container
10772626
Sponsor(s)
Foxconn Technology Group Rio de Janeiro Research Foundation Zerbini Foundation Fundação Getulio Vargas Fundação de Amparo à Pesquisa do Estado de São Paulo Coordenação de Aperfeiçoamento de Pessoal de Nível Superior Conselho Nacional de Desenvolvimento Científico e Tecnológico Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro
Sources of information: Directorio de Producción Científica Scopus