Representatives from Holmusk recently attended the 30th European Congress of Psychiatry and presented an overview of MaST, a clinical decision support tool that is currently being implemented to aid in mental health case management within seven NHS Trusts in the United Kingdom.
MaST (Management and Supervision Tool) uses analyses of electronic health record (EHR) data to provide data visualizations that help clinicians predict whether their patients are more likely to need mental health crisis services such as an inpatient psychiatric hospital or outpatient community crisis service. Clinicians can then intervene early to prevent or improve the management of people’s mental health crises.
The Risk of Crisis algorithm within MaST was developed using EHR data from a NHS Trust providing mental health care, and various clinical and sociodemographic factors contributed to its development. The algorithm’s predictive performance was then validated on a group of over 100,000 patients from six different Trusts, and its accuracy in identifying the highest risk patients ranged from 64 to 80 percent.
“We were pleased to be able to share MaST with a broader audience at the European Congress of Psychiatry,” said Caroline Gadd, Director at Holmusk. “NHS Trusts that have implemented MaST have seen improved patient outcomes, better use of resources and cost savings, as detailed in a recent report.”
“We are glad to see the results being delivered by MaST in the U.K.,” said Rashmi Patel, Holmusk’s Vice President of Medical and Scientific Affairs, who presented the abstract at the meeting. “MaST is the perfect example of our greater mission at Holmusk to improve care delivery and patient lives through the application and better understanding of real-world data.”
The full abstract was published in conference proceedings and can be found here.