Authors:
Bhanu Priya
1
;
Shruthi Nadig
1
;
Saloni Maru
1
;
A. Srinivas
1
;
Nitish Shangari
1
;
Abhishek Biswas
1
and
Suresh Krishnamurthy
2
Affiliations:
1
PES Institute of Technology, India
;
2
PES Institute of Medical Sciences and Research, India
Keyword(s):
Cardio vascular disease (CVD), Hypertension (HTN), Diabetes mellitus (DM), Risk Assessment, Prognosis, preventive medicine, Interactive risk analysis (IRA).
Related
Ontology
Subjects/Areas/Topics:
Biomedical Engineering
;
Cardiovascular Technologies
;
Computing and Telecommunications in Cardiology
;
Design and Development Methodologies for Healthcare IT
;
Development of Assistive Technology
;
Health Engineering and Technology Applications
;
Health Information Systems
;
Healthcare Management Systems
;
Medical and Nursing Informatics
Abstract:
Health care is an important requirement of life. It is defined as the prevention, treatment or management of health related problems by using diverse strategies and services. Information Technology (IT) has pervaded every sphere of life including health care. It not only includes information systems in hospitals for managing clinical information about patients but also includes telemedicine, computer-assisted instructions to patients as well as doctors, and extends to computer-assisted imaging and surgery. IT has now become a key component in Disease Management Systems used in the assessment and management of chronic diseases such as Diabetes and Coronary artery disease. We have developed an Integrated Risk Assessment and Health Management System [IRAHMS] to assess the risk of developing “life-style” diseases such as Cardio Vascular Disease, Type 2 Diabetes Mellitus and Hypertension. This includes a patient clinical information database; a Framingham data based cardiovascular risk ca
lculator and a module that provides personalized health management advice and healthy life style modifications that help an individual to lead a healthy life. The system also features an interactive risk analysis facility to analyze the contribution of each clinical parameter to the overall risk that can help motivate patients to see the overall benefits of risk factor modification or elimination.
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