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The Promise of Big Data and Digital Solutions in Building a Cardiovascular Learning System: Opportunities and Barriers
- Source :
- Methodist Debakey Cardiovasc J
- Publication Year :
- 2020
-
Abstract
- The learning health system is a conceptual model for continuous learning and knowledge generation rooted in the daily practice of medicine. While companies such as Google and Amazon use dynamic learning systems that learn iteratively through every customer interaction, this efficiency has not materialized on a comparable scale in health systems. An ideal learning health system would learn from every patient interaction to benefit the care for the next patient. Notable advances include the greater use of data generated in the course of clinical care, Common Data Models, and advanced analytics. However, many remaining barriers limit the most effective use of large and growing health care data assets. In this review, we explore the accomplishments, opportunities, and barriers to realizing the learning health system.
- Subjects :
- Big Data
Knowledge management
media_common.quotation_subject
Big data
education
Cardiology
Review
030204 cardiovascular system & hematology
Data modeling
Access to Information
03 medical and health sciences
0302 clinical medicine
Cardiologists
Health care
Medicine
Humans
030212 general & internal medicine
media_common
Quality Indicators, Health Care
Medical algorithm
business.industry
Delivery of Health Care, Integrated
Medical record
General Medicine
Learning Health System
Quality Improvement
Analytics
Education, Medical, Graduate
Scale (social sciences)
Conceptual model
Education, Medical, Continuing
business
Confidentiality
Subjects
Details
- ISSN :
- 19476108
- Volume :
- 16
- Issue :
- 3
- Database :
- OpenAIRE
- Journal :
- Methodist DeBakey cardiovascular journal
- Accession number :
- edsair.doi.dedup.....6f071d912898b4efd5ce3728dd3f023d