Abstract
Data visualization has gained significant importance since the demand for software applications providing abstract view and pattern identification has increased. To meet the demand, a number of data visualization techniques and best practices have been proposed in many disciplines. However, data visualization is not as advanced in healthcare software applications as compared to other scientific fields. The result is a limited support provided to the healthcare practitioners by software applications. Moreover, poor usability of healthcare applications is another major hurdle in adoption of electronic healthcare systems rather than traditional paper based methods. In this paper, we propose an Electronic Health Record (EHR) system for Obstetrics, integrating different data visualization techniques. The proposed system has been evaluated using standard usability evaluation methods. The results indicate that using appropriate data visualization techniques in healthcare systems results in enhanced usability. The results also prove that better data visualization helps in improved quality of care and achieves high assurance in healthcare information systems.
Original language | English |
---|---|
Title of host publication | Proceedings - 2017 IEEE 13th International Symposium on Autonomous Decentralized Systems, ISADS 2017 |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
Pages | 39-44 |
Number of pages | 6 |
ISBN (Electronic) | 9781509040414 |
DOIs | |
Publication status | Published - 17 May 2017 |
Event | 13th IEEE International Symposium on Autonomous Decentralized Systems, ISADS 2017 - Bangkok, Thailand Duration: 22 Mar 2017 → 24 Mar 2017 |
Publication series
Name | Proceedings - 2017 IEEE 13th International Symposium on Autonomous Decentralized Systems, ISADS 2017 |
---|
Conference
Conference | 13th IEEE International Symposium on Autonomous Decentralized Systems, ISADS 2017 |
---|---|
Country/Territory | Thailand |
City | Bangkok |
Period | 22/03/17 → 24/03/17 |
Bibliographical note
Publisher Copyright:© 2017 IEEE.
Keywords
- Data Visualization
- Healthcare Data Visualization
- Usability of Healthcare Software
ASJC Scopus subject areas
- Control and Optimization
- Control and Systems Engineering