The next generation of risk assessment and management

Introducing the eHARM

Authors

  • Katelyn Mullally St. Joseph's Healthcare Hamilton, Forensic Psychiatry Program
  • Mini Mamak McMaster University, Department of Psychiatry and Behavioral Neurosciences & St. Joseph's Healthcare Hamilton, Forensic Psychiatry Program
  • Gary A Chaimowitz McMaster University, Department of Psychiatry and Behavioral Neurosciences & St. Joseph's Healthcare Hamilton, Forensic Psychiatry Program

DOI:

https://doi.org/10.15173/ijrr.v1i1.3365

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.

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Cover of Volume 1 Issue 1 - January 2018

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Published

2018-01-31

How to Cite

Mullally, K., Mamak, M., & Chaimowitz, G. A. (2018). The next generation of risk assessment and management: Introducing the eHARM. International Journal of Risk and Recovery, 1(1), 21–26. https://doi.org/10.15173/ijrr.v1i1.3365

Issue

Vol. 1 No. 1 (2018): Initial Issue - Research at McMaster University and St. Joseph's Healthcare Hamilton

Section

Original Article

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