The mental health issues were treated by using Artificial intelligence

The mental health issues were treated by using Artificial intelligence
The mental health issues were treated by using Artificial intelligence

Waypoint representative: “Knowing in advance that a patient may be at risk of harm can help us develop intervention strategies… and adjustments to their care plan.”


Knowing in advance that a patient might be in danger can help us create intervention tactics and modify care. When patients get care, it is essential to keep them safe. This is crucial for mental health disorders since early intervention can have a significant impact.

The development of an early warning score (EWS) system for individuals with mental health conditions is one area where the use of artificial intelligence
(AI) in healthcare has shown great promise in recent years.

According to Dr. Andrea Waddell, Medical Director Quality Standards and Clinical Informatics, “Early warning scores help care teams identify early signs of a patient’s health deteriorating so they can take action early.”

“Knowing ahead of time that a patient may be at risk of harm can help us develop intervention strategies, such as increased nursing attention and adjustments to their care plan.”

One in every 17 hospital visits had unexpected consequences, according to data from the Canadian Institute for Health Information in 2021–22, and nearly half of them could have been prevented.

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Dr. Waddell from Waypoint also serves as the center of excellence’s regional clinical co-lead for mental health and addictions at Ontario Health. She is working to improve this number by developing an EWS that will stop harm before it occurs.

The field of mental health treatment has also been transformed by artificial intelligence. It can analyze a large amount of data, look for trends, and provide useful information. AI can be utilized in mental health care to identify issues before they become serious, provide individualized treatment programs, and lighten the workload for medical professionals.

Early warning scores have not been utilized as frequently in mental health settings as they have been in acute medical settings. The EWS system constantly monitors and analyzes the unique information about each patient, including previous data and AI algorithms, to determine whether they might get worse.

It is ideal to notify medical staff up to 72 hours in advance, allowing them to assist the patient more quickly.Some of the most seriously ill patients in the province are cared for by Waypoint and its qualified personnel.

The hospital is in a unique position to develop an early warning model because it already has a 20-bed acute mental health program, has submitted a request for approval from the Ministry of Health to create an additional 20-bed unit, and is actively changing its culture to become a learning health system.

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The hospital is suggesting elements for an EWS and putting a machine-learning model to the test on patient data from 2022 by drawing on current frameworks, industry knowledge, and research. At each stage, input from frontline physicians, patients, and families will help choose the final algorithm. The EWS will be tested after it has been developed using a rapid-cycle quality improvement methodology in a few Waypoint units.

“Advancing person-centered care is really about early intervention and timely detection of deteriorating mental health conditions,” stated Dr. Nadiya Sunderji, President and CEO. Personalized care plans that are tailored to each patient’s needs and consider their unique risk factors, medical history, and response patterns are made possible by artificial intelligence.

The development of Early Warning Score systems for people with mental health issues offers significant potential for unlocking the door to early problem detection for healthcare providers. Utilizing the potential of AI can improve patient care, result in better outcomes, and ease the pressure on mental health services. to their care plan,’ says a Waypoint official. AI-driven solutions are the key to changing mental health care for a better and healthier future.

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