- AI is being used to assist health care providers in the understaffed mental health care field.
- AI-powered software can suggest treatments and analyze treatment sessions through a mobile app.
- This article is part of Build IT, a series about digital technology trends disrupting industries.
The fusion of human ingenuity and machine intelligence is providing an innovative approach to personalized mental health care. By leveraging AI technology, clinicians and behavioral health facilities can provide tailored treatment to people with conditions such as depression and addiction. You can also use AI to assess the quality of your services and find ways to improve as a mental health care provider.
These advances also raise important ethical and privacy considerations. As technology becomes more involved in mental health care, ensuring data security, confidentiality, and equitable access to services must become a top priority.
How AI-powered mobile apps deliver care
Dr. Christopher Romig, director of innovation at mental health clinic Stella, said he sees great potential for AI to “support early diagnosis, personalized treatment plans, and patient follow-up.”
There are reasons to expect this increased momentum, he added. “There is a huge shortage of mental health care providers in this country, so AI will be a key element of the future in terms of support and intervention.”
Click Therapeutics is a biotechnology company that develops AI-powered software for medical procedures and interventions that empower patients through mobile apps. The software can treat conditions such as depression, migraines, and obesity, either alone or in conjunction with medication.
The company’s algorithms collect and analyze patient data from the app, including symptom severity and sleep-wake cycles. We use this information to identify patterns and correlations and provide customized treatment strategies.
Click Therapeutics’ mobile app provides users with a personalized overview of their health journey. click therapy
Digital biomarkers such as smartphone sensors will also be utilized. For example, sensors can monitor a patient’s heart rate to detect high stress. The algorithm then recommends mindfulness exercises, relaxation techniques, or cognitive behavioral therapy modules within the app. “It’s a real therapy that’s changing the brain,” Shaheen Lakhan, chief medical officer at Click Therapeutics, told Business Insider.
Patients can share these insights with their healthcare providers to gain a more comprehensive understanding of their condition and behavior. Indicators can inform treatment decisions and improve treatment outcomes. “You are the active ingredient, which means you have to be involved in it,” said product manager Daniel Lim.
In January, Click Therapeutics announced that the Food and Drug Administration would help it accelerate development of its schizophrenia treatment software. Research shows that this use case could greatly benefit from digital therapeutics.
Dr. Haig Goenjian, principal investigator and medical director of CenExel CNS, told BI that in a study focused on schizophrenia, patients who used prescription digital therapeutics showed that the approach “changed the way they socialized.” , who said, “I’m now able to get on with my life.” To put the symptoms of schizophrenia to work in the real world. ”
“At the end of our study, many patients asked how they could continue using this digital therapy,” he added.
How AI platforms are helping mental health providers improve their services
The AI platform Lyssn is also a technology-driven tool for mental health services. We offer on-demand training modules to clients such as behavioral health providers who want to improve their patient engagement and sessions.
Healthcare providers can record therapy sessions with patient consent and use Lyssn’s AI technology to assess factors such as speech patterns and tone from both parties to better understand how to have effective conversations and improve session quality. You can improve your approach to
“There’s a need for more, and there’s a need for better,” said Zach Immel, co-founder and chief psychotherapy science officer at Lyssn, referring to the national shortage of mental health workers. .
Michael Tanana, chief technology officer at Immel & Listen, said it’s difficult to assess the quality of services being provided because sessions between mental health professionals and patients are private and difficult to monitor. said. Lyssn aims to hold providers accountable for improving care, especially since “the quality of mental health care varies so much,” Immel said.
Lyssn’s dashboard provides quantified insights into qualitative factors such as showing empathy to clients during therapy sessions. Rissen
Tanana, who also co-founded Lyssn, added that as more people seek access to mental health services, “we need a way to ensure quality.” Lyssn’s developers keep this in mind when training their AI technology to recognize both problematic and successful conversational styles, Immel said.
For example, Lyssn can analyze provider responses during culturally sensitive conversations. This includes assessing how interested the client is in their experience and whether they feel anxious when talking about such topics. Based on the assessment, the platform provides providers with instant feedback on their skills and suggests specific training and tools to help them learn and improve.
Darin Carver, a certified therapist and assistant clinical director at Weber Human Services, uses Lyssn to improve patient outcomes. “Clinicians have near-instantaneous access to session-specific information on how to improve their clinical practice,” he told BI.
He said supervisors also have access to skill-based feedback generated from session reports, which can be used to help transform clinicians’ vague memories into solid information about which skills are used and need improvement. He added that it can be converted into a fact.
Carver said feedback and advanced analysis are essential to treatment decisions. “We can drill down into what our real training needs are and which clinicians and disciplines need help,” he said. “That was a game changer.”
AI concerns in mental health
The use of AI in mental health services still requires human-driven regulation. AI algorithms can perpetuate biases and stereotypes from the data they are trained on.
To illustrate the issue, Lyssn produces detailed annual reports that evaluate the performance of training and quality assurance models to support people from historically marginalized communities. The company also partners with leading universities to assess technology’s multicultural competency.
Protecting patient privacy and confidentiality also requires strict compliance regulations. For example, Lyssn uses encrypted data transfer and storage, two-factor authentication, and regular external compliance audits to prevent data leaks. As technology-driven care evolves, Carver said mental health professionals have an obligation to use AI ethically to improve people’s health and well-being.
