Veteran suicide is a national crisis. AI and machine learning can be an important part of the solution.

Machine Learning


Artificial intelligence and machine learning (AI/ML) technologies are transforming every sector, and these technologies could also revolutionize mental health care and suicide prevention for veterans.

Artificial intelligence and machine learning (AI/ML) technologies are transforming every sector, and these technologies could also revolutionize mental health care and suicide prevention for veterans. (Joshua Seibert/U.S. Air Force)

Last month, lawmakers passed the 2023 Veterans Affairs and Behavioral Health Care Act, a bipartisan bill aimed at addressing the quality of veterans’ mental and behavioral health care provided by the Department of Veterans Affairs and identifying opportunities to improve the current system. Submitted the Behavioral Medicine Quality Act. This newly proposed bill is a step in the right direction, especially since the suicide rate among military personnel is 1.5 times higher than that among civilians, with an average of 17 suicides per day. Tragically, over the past two decades, the unadjusted suicide rate among veterans has risen from 23.3 per 100,000 veterans in 2001 to 31.7 per 100,000 in 2020. Some years have been better than others, but overall, veterans continue to struggle.

As we seek ways to support our nation’s heroes, organizations that serve and employ veterans should ensure that they utilize all options available to empower veterans and seek help from veterans. We need to shift the burden to more opportunities for state and federal government. VA organizations and other veteran service organizations actively seek help early. Artificial intelligence and machine learning (AI/ML) technologies are transforming everything from national security to healthcare to education, and these technologies could revolutionize mental health care and suicide prevention for veterans. There is also Veterans’ organizations, including the Veterans Corps and nonprofits, and commercial organizations that work with and support veterans, proactively identify evidence-based red flags before struggling veterans are overwhelmed. To do so, we must consider new technologies as the missing piece of the puzzle. Moving detection and informed proactive mitigation upstream changes the current model focused on making it easier for veterans to seek help.

State-of-the-art AI/ML models trained to analyze evidence-based studies, such as large datasets and categories of data defined by the Centers for Disease Control that correlate with high rates of suicide, identify behavioral red flags early. It helps veterans detect abnormalities before they reach breaking point, ultimately saving lives.

This technology offers an opportunity to shift the holistic approach to veterans’ mental health and wellness from the established reactive model to one that proactively invests in each individual. Often, the burden is placed on veterans who need to do a self-evaluation first and then seek help on their own. Armed forces and veterans organizations can now leverage AI/ML technology to more quickly and efficiently identify when veterans are at risk early and intervene before a crisis occurs. Take the burden of care off the shoulders of veterans battling PTSD, PTSD, and more. Major mental health symptoms.

Using advanced machine learning and AI models, military personnel at highest risk with research-based indicators that cause stress and depression, including homelessness, loneliness, financial hardship, legal problems, drug addiction, and more and veterans can be identified, prioritized and addressed. Outreach, immediate assistance and reporting are aimed at preventing tragedy before it happens. Confidentiality top priority, continuous assessment, push-based alerts, and secure and impartial case management are all important factors in preventing suicide risk incidents. The Department of Veterans Affairs and Veterans Affairs is now enhancing calendar-based health outreach for some of its personnel through the application of data and machine learning technology to reach vulnerable veterans who need help when they need it. can be prioritized.

AI/ML makes evidence-based recommendations by monitoring veterans’ behavior, helping veterans maintain regular check-ins, schedule appointments, and make frequent phone calls to doctors’ offices. We help you access important mental health resources without calling or waiting weeks for an appointment. Currently, many of the military’s scheduled medical examinations fail to provide a complete picture of the mental health of veterans. Additionally, VA is already experiencing incredible backlogs, can take weeks to coordinate bookings, and is understaffed. The problem is exacerbated by a nationwide shortage of healthcare workers across all sectors. Just last year, the Kaiser Family Foundation found that 47% of the U.S. population in 2022 will live in areas of the mental health workforce shortage, and that figure is expected to get even worse. These established services impose the responsibility on already-suffering veterans to re-assess themselves, seek solutions, and seek care, but they also require several days, or even several, days of appointment. Appears only after a month. The ability to prioritize sparse resources is also an advantage of shifting the burden from veterans.

In 2014, the U.S. Senate declared June Post-Traumatic Stress Disorder Awareness Month in honor of more than 13 million Americans, including veterans dealing with PTSD. But without continued positive action, the annual awareness campaign will continue to be suboptimal. How military leaders, federal and state veterans’ offices, and veterans support organizations can leverage emerging technologies and innovations to address complex issues while actively supporting our nation’s heroes in times of need. need to start thinking about Using AI and machine learning data, we can now prioritize support for at-risk veterans and active duty military personnel.

Veterans and military personnel have and will continue to make great sacrifices for our country, often putting their physical and mental health at risk. Those who work with active duty and veterans take the initiative and proactively reach out to them, provide assistance without relying on scheduled medical appointments, and help veterans know they have options. As you can see, it’s time to mitigate risk factors through today’s powerful data and analytics. You’ll be able to access the help you deserve before it’s too late. Simply put, every day is a day to be aware of PTSD.

Michael Hudson is a former U.S. Marine Corps Colonel. He is the Vice President of ClearForce, a risk management organization. His military service includes commanding a helicopter squadron, a Marine Expeditionary Force, and in his last active duty role as a sexual assault prevention and response leader for the Marine Corps.



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