Open AccessThe next generation of risk assessment and management
Author(s) -
Katelyn Mullally,
Мини Mамак,
Gary Chaimowitz
Publication year - 2018
Publication title -
international journal of risk and recovery
Language(s) - English
Resource type - Journals
ISSN - 2561-5645
DOI - 10.15173/ijrr.v1i1.3365
Subject(s) - 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 , finance , artificial intelligence , economics , economic growth
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.