Authors:
William Enrique Parra Alba
and
Alexandra Pomares Quimbaya
Affiliation:
Pontificia Universidad Javeriana, Colombia
Keyword(s):
Consolidation of Biomedical Information, Physiological Sensors, Remote Monitoring of Patients, Decision Support, Data Analysis, Statistical Techniques, Fuzzy Logic.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Business Analytics
;
Cardiovascular Technologies
;
Computing and Telecommunications in Cardiology
;
Data Engineering
;
Decision Support Systems
;
Decision Support Systems, Remote Data Analysis
;
Health Engineering and Technology Applications
;
Knowledge-Based Systems
;
Symbolic Systems
Abstract:
Improving information systems and guaranteeing the quality of health services are current challenges for global governments. Financing problems and congestion in health care centers, increased demand for services due to aging population, mobility issues and insecurity, risks of accidents and contagion of diseases in care centers are some of the problems to be solved. In order to reduce these problems, it is necessary to take advantage of technological advances to give alternative solutions. This paper presents SICOBIO, a system for monitoring patients who finish their treatment at home, and facilitates the integration of devices and analysis algorithms. The information from remote sensors is homogenized, consolidated, and analyzed in a synchronous and asynchronous manner. Through synchronous analysis, the patient's risk is assessed and alerts are generated to his caregivers, and through asynchronous analysis, decision-making is supported with statistical and data mining techniques ap
plied to historical information. SICOBIO was validated with devices for remote monitoring of physical activity, heart rate and weight. It demonstrated its scalability to incorporate new equipment and new algorithms of analysis and delivery of alerts. Its potential utility was validated through the Technology Acceptance Model (TAM).
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