AN INTEGRATED INFORMATION VISUALIZATION MODEL CAREI.O FOR MULTIPLE ELECTRONIC HEAL Til RECORDS

Information Visualization (IV) lacilitates in exploration of different significant facts in Electronic Health Records (EHR) using events based groups for stake holders. Single patient data can be visualized in an easier pattern but visualization of multiple patient records leads to complexity of...

Full description

Saved in:
Bibliographic Details
Main Author: MALIK, MUHAMMAD SHERAZ ARSHAD
Format: Thesis
Language:English
Published: 2015
Subjects:
Online Access:http://utpedia.utp.edu.my/id/eprint/21302/1/2014%20-COMPUTER%20%26%20INFORMATION%20SCIENCES%20-%20AN%20INTEGRATED%20INFORMATION%20VISUALIZATION%20MODEL%20CARE%201.0%20FOR%20MULTIPLE%20ELECTRONIC%20HEALTH%20RECORDS%20-%20MUHAMMAD%20SHERAZ%20ARSHAD%20MALIK.pdf
http://utpedia.utp.edu.my/id/eprint/21302/
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Information Visualization (IV) lacilitates in exploration of different significant facts in Electronic Health Records (EHR) using events based groups for stake holders. Single patient data can be visualized in an easier pattern but visualization of multiple patient records leads to complexity of understanding inlormation due to different forms of dataset. Doctors as primary. while database administrators (DBA) and visual designers as secondary stakeholders interact with patient data visualization to provide better health care services at lower budget hospitals. Complex representation of numerical and categorical based events in EHR provoke difficulty for handling and execution of visual queries due to poor knowledge. lesser developed skills. weaker assessment and absence of individual and future perspective related to stakeholders. Current IV tools and applications provide minimum knowledge pertaining to EHR due to lesser exploration of facilities based on high cost of IT resources. absence of well trained and skilled IT man power in hospitals, lack of time to understand and grasp the skills to execute visual queries to assess the information for future policies.