scholarly journals Evaluation of a Mobile Application Tool to Assist Health Care Providers in Cardiovascular Risk Assessment and Management

Author(s):  
Monica Zolezzi ◽  
Athar Elhakim ◽  
Taimaa Hejazi ◽  
Lana Kattan ◽  
Dana Mustafa ◽  
...  
2020 ◽  
Vol 12 ◽  
pp. 100436
Author(s):  
G. Montanari Vergallo ◽  
D.L. Shapiro ◽  
L.E. Walker ◽  
V. Mastronardi ◽  
M. Calderaro ◽  
...  

2017 ◽  
Vol 53 (4) ◽  
pp. 452-459 ◽  
Author(s):  
Amanda Ernst Wood ◽  
Annabel Prins ◽  
Nigel E. Bush ◽  
Jennifer F. Hsia ◽  
Laura E. Bourn ◽  
...  

2009 ◽  
Vol 46 (6) ◽  
pp. 531-539 ◽  
Author(s):  
Amanda J. Wheeler ◽  
Jeff Harrison ◽  
Priya Mohini ◽  
Jeshika Nardan ◽  
Amy Tsai ◽  
...  

2018 ◽  
Vol 1 (1) ◽  
pp. 21-26 ◽  
Author(s):  
Katelyn Mullally ◽  
Mini Mamak ◽  
Gary A Chaimowitz

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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