Scroll to top
Tag: Mental Illness

Telepsychiatry Collaborative Care Found Effective for Treatment of Complex Disorders in Rural Areas

Article Excerpt: Telepsychiatry collaborative care (TCC) can help primary care clinicians working in rural or underserved areas to identify and treat patients with posttraumatic stress disorder (PTSD) and bipolar disorder with more confidence. These were the findings of a report published today in Psychiatric Services, which describes how care managers, primary care clinicians, and telepsychiatrists work together to support these patients.

Full Article:

Article Source: Psychiatric News


Improving Behavioral Health Care For Older Americans: If Not Now, When?

Article Excerpt: Telemedicine and technological procedures have important roles in the care of older adults as this population and its demand for behavioral health care grow. Despite access limitations and some age-related health challenges such as vision or hearing problems, cognitive decline, and decreased motor skills that may make telemedicine difficult for some, older adults want to follow technological developments and can successfully adapt to telemedicine. Moreover, age-related challenges have not been shown to block older adults from successfully using telemedicine. Provider best practices have been developed and can include practice runs with specified platforms, collaborating with patient family/caregiver, using assisted technologies, and so forth. Providers can set up older adults with training and tools necessary for successful telemedicine adoption, and older adults demonstrated high stakeholder satisfaction with telemedicine.

Full Article:

Article Source: Health Affairs


Doctors Using AI, Supercomputer To Predict And Prevent 50% Of Mental Illness

Article Excerpt: Almost a billion people globally suffer from some form of mental illness. But doctors from Cincinnati Children’s Hospital are using artificial intelligence and the world’s second most powerful supercomputer for early diagnosis. And that, they say, can make all the difference. “If we can identify this early … we can treat for and alleviate almost 50% of the mental illness that goes into adulthood,” Dr. John Pestian told me recently on the TechFirst podcast. “So catching it young, catching it early, and giving care is a very important part.”

Full Article:

Article Source: Forbes


FDA Grants Breakthrough Designation to Magnus’ Neurostimulation Technology

Article Excerpt: The US Food and Drug Administration (FDA) has granted Breakthrough Device Designation to Magnus Medical’s neurostimulation technology for the treatment of major depressive disorder (MDD). Developed based on the SAINT technology, the new, non-invasive Magnus System acts rapidly and is designed to treat MDD in people who have not sufficiently recovered after receiving antidepressant medication or other therapies… According to an investigational randomised controlled trial (RCT) published on the American Journal of Psychiatry website, the individually targeted neurostimulation technology relieved severe depression in 79% of people who received active treatment.

Full Article:

Article Source: Medical Device Network


How Machine Learning Systems Help EHR Usabilty, Mitigate Burden

Article Excerpt: Machine learning systems can aid EHR (electronic health record) usability and cut burden for disease phenotyping to support clinical research, according to a recent Mount Sinai study published in the journal Patterns.The machine learning-based algorithm diagnosed patients as accurately as the standard set of disease phenotyping algorithms for conditions like dementia, sickle cell anemia, and multiple sclerosis.

Full Article:

Article Source: EHR Intelligence


A Year of Living Online Has Caused a Youth Mental Health Crisis. Can Tech Help Us Solve It?

Article Excerpt: A pandemic within a pandemic. That’s what experts are calling it. Subjected to screens in a year of mostly remote learning, children’s mental health has suffered. Physically distanced from many of the supports and connections that define childhood and school in a year of unprecedented stressors, “the kids are not OK,” as Vermont Gov. Phil Scott said in February. It’s a sentiment that’s been echoed repeatedly, by governors all throughout New England, from Massachusetts to New Hampshire to Rhode Island, as well as the Centers for Disease Control, which reported that nationwide the proportion of children’s mental health-related emergency department visits, among all pediatric emergency department visits, rose from mid-March through October 2020, with increases of 24% among children aged five to 11 years and 31% among adolescents aged 12 to 17 years, compared with the same period in 2019.

Full Article:

Article Source: Union Leader


Are You Ready For A Prescription For Treatment Tech?

Article Excerpt: The global digital therapeutics market size was estimated at $3.5 billion in 2020 and is expected to reach $4.4 billion in 2021. Analysts estimate a compound annual growth rate of 23.1% and predict that the market will reach $19.1 billion by 2028 (see Digital Therapeutics Market Size & Trends Report, 2021 – 2028). Investments by venture capital as well as pharmaceutical companies in this space are growing. Why does this matter to specialty provider organizations caring for consumers with chronic and complex conditions?

Full Article:

Article Source: OPEN MINDS


Machine Learning Could Aid Mental Health Diagnoses: Study

Article Excerpt: In order to accurately identify patients with a mix of psychotic and depressive symptoms, researchers from the University of Birmingham recently developed a way of using machine learning to do so.

Full Article:

Article Source: ET Healthworld

A Survey of Computational Methods for Online Mental State Assessment on Social Media

Article Excerpt: Mental state assessment by analysing user-generated content is a field that has recently attracted considerable attention. Today, many people are increasingly utilising online social media platforms to share their feelings and moods. This provides a unique opportunity for researchers and health practitioners to proactively identify linguistic markers or patterns that correlate with mental disorders such as depression, schizophrenia or suicide behaviour. This survey describes and reviews the approaches that have been proposed for mental state assessment and identification of disorders using online digital records.

Full Article:

Article Source: ACM Journals