JOURNAL ARTICLE

The next generation of risk assessment and management

Katelyn MullallyМини MамакGary Chaimowitz

Year: 2018 Journal:   International Journal of Risk and Recovery Vol: 1 (1)Pages: 21-26

Abstract

Big data and analytics are rapidly changing health care and enabling a degree of measurement and quality improvement not previously seen. For a variety of reasons including the limited number of quality indicators in mental health care, psychiatry has been late to the game. Use of technology to measure, monitor, and assess risk and change, would have a significant impact for key stakeholders including patients, care providers, and the community. Analytics offer an opportunity to increase our understanding of the psychiatric populations, target effective programs and interventions, and direct more personalized care at the critical intersection of risk assessment and prediction – risk management. The electronic Hamilton Anatomy of Risk Management (eHARM) aims to harness the capabilities afforded by data analytics to enhance the assessment, monitoring, and management of risk at the clinical interface.

Keywords:
Analytics Risk management Variety (cybernetics) Psychological intervention Health care Risk assessment Quality management Risk analysis (engineering) Medicine Data science Computer science Business Management system Nursing Operations management Engineering Computer security

Metrics

6
Cited By
0.50
FWCI (Field Weighted Citation Impact)
10
Refs
0.67
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Mental Health Research Topics
Social Sciences →  Psychology →  Experimental and Cognitive Psychology
Machine Learning in Healthcare
Physical Sciences →  Computer Science →  Artificial Intelligence
Mental Health and Psychiatry
Social Sciences →  Arts and Humanities →  Philosophy

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