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"Digital Age"
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Disparities in Health Care and the Digital Divide
Purpose of Review
Disparities in health outcomes are a well documented and worrisome part of our health care system. These disparities persist in spite of, and are occasionally exacerbated by, new technologies that are intended to improve health care. This results in a “digital divide” in which populations that have poorer health outcomes continue to have poorer health outcomes despite technological improvements.
Recent Findings
In many ways, the digitical divide is already shrinking via improved access to internet and technology/process improvements. For example, people with schizophrenia, PTSD, and bipolar disorder have had their care successfully augmented by new technology. However, problems persist- being impoverished, female, and black all correlate with decreased probability of completing a telehealth visit, and millions of americans have insufficient internet access to complete telehealth visits.
Summary
We must continue to utilize new technology in health care to improve outcomes, but we must also be wary to ensure those outcomes are equitable across different populations.
Journal Article
Inter-generational Effects of Technology: Why Millennial Physicians May Be Less at Risk for Burnout Than Baby Boomers
Purpose of Review
Younger generations of physicians are using technology more fluently than previous generations. This has significant implications for healthcare as these digital natives become a majority of the population’s patients, clinicians, and healthcare leaders.
Recent Findings
Historically, healthcare has been slow to adopt new technology. Many physicians have attributed burnout symptoms to technology-related causes like the EMR. This is partly due to policies and practices led by those who were less familiar and comfortable with using new technologies.
Summary
Younger physicians will drive technological advancement and integration faster than previous generations, allowing technology to adapt more quickly to serve the needs of clinicians and patients. These changes will improve efficiency, allow more flexible working arrangements, and increase convenience for patients and physicians. The next generation of physicians will use technology to support their work and lifestyle preferences, making them more resilient to burnout than previous generations.
Journal Article
Artificial Intelligence for Mental Health and Mental Illnesses: an Overview
Purpose of Review
Artificial intelligence (AI) technology holds both great promise to transform mental healthcare and potential pitfalls. This article provides an overview of AI and current applications in healthcare, a review of recent original research on AI specific to mental health, and a discussion of how AI can supplement clinical practice while considering its current limitations, areas needing additional research, and ethical implications regarding AI technology.
Recent Findings
We reviewed 28 studies of AI and mental health that used electronic health records (EHRs), mood rating scales, brain imaging data, novel monitoring systems (e.g., smartphone, video), and social media platforms to predict, classify, or subgroup mental health illnesses including depression, schizophrenia or other psychiatric illnesses, and suicide ideation and attempts. Collectively, these studies revealed high accuracies and provided excellent examples of AI’s potential in mental healthcare, but most should be considered early proof-of-concept works demonstrating the potential of using machine learning (ML) algorithms to address mental health questions, and which types of algorithms yield the best performance.
Summary
As AI techniques continue to be refined and improved, it will be possible to help mental health practitioners re-define mental illnesses more objectively than currently done in the DSM-5, identify these illnesses at an earlier or prodromal stage when interventions may be more effective, and personalize treatments based on an individual’s unique characteristics. However, caution is necessary in order to avoid over-interpreting preliminary results, and more work is required to bridge the gap between AI in mental health research and clinical care.
Journal Article
Digital Clinics and Mobile Technology Implementation for Mental Health Care
Purpose of Review
Interest in digital mental health, especially smartphone apps, has expanded in light of limited access to mental health services and the need for remote care during COVID-19. Digital clinics, in which apps are blended into routine care, offer a potential solution to common implementation challenges including low user engagement and lack of clinical integration of apps.
Recent Findings
While the number of mental health apps available in commercial marketplaces continues to rise, there are few examples of successful implementation of these apps into care settings. We review one example of a digital clinic created within an academic medical center and another within the Department of Veterans Affairs. We then discuss how implementation science can inform new efforts to effectively integrate mental health technologies across diverse use cases.
Summary
Integrating mental health apps into care settings is feasible but requires careful attention to multiple domains that will influence implementation success, including characteristics of the innovation (e.g., utility and complexity of the app), the recipients of the technology (e.g., patients and clinicians), and context (e.g., healthcare system buy-in, reimbursement, and regulatory policies). Examples of effective facilitation strategies that can be utilized to improve implementation efforts include co-production of technology involving all end users, specialized trainings for staff and patients, creation of new team members to aid in app usage (e.g., digital navigators), and re-design of clinical workflows.
Journal Article
Increasing Cybercrime Since the Pandemic: Concerns for Psychiatry
Purpose of Review
Since the pandemic, the daily activities of many people occur at home. People connect to the Internet for work, school, shopping, entertainment, and doctor visits, including psychiatrists. Concurrently, cybercrime has surged worldwide. This narrative review examines the changing use of technology, societal impacts of the pandemic, how cybercrime is evolving, individual vulnerabilities to cybercrime, and special concerns for those with mental illness.
Recent Findings
Human factors are a central component of cybersecurity as individual behaviors, personality traits, online activities, and attitudes to technology impact vulnerability. Mental illness may increase vulnerability to cybercrime. The risks of cybercrime should be recognized as victims experience long-term psychological and financial consequences. Patients with mental illness may not be aware of the dangers of cybercrime, of risky online behaviors, or the measures to mitigate risk.
Summary
Technology provides powerful tools for psychiatry but technology must be used with the appropriate safety measures. Psychiatrists should be aware of the potential aftermath of cybercrime on mental health, and the increased patient risk since the pandemic, including from online mental health services. As a first step to increase patient awareness of cybercrime, psychiatrists should provide a recommended list of trusted sources that educate consumers on cybersecurity.
Journal Article
Evidence of Phone vs Video-Conferencing for Mental Health Treatments: A Review of the Literature
Purpose of Review
The goal of this paper is to provide a comparative review of using phone (audio-only) or video for mental health treatments. Our review includes evidence of phone and video’s effectiveness in terms of reduced symptomology, retention, satisfaction, therapeutic alliance, and other outcomes of interest. This review also discusses how patients and providers’ experiences and attitudes differ between these two modalities. Finally, we present information on different usage rates of phone and video across patient populations and mental health provider types, and different implementation strategies.
Recent Findings
Treatments through phone and video are both able to reduce symptoms related to mental health conditions and have both been found to be non-inferior to in-person care. Both phone and video are more convenient to patients. Video offers important visual information that can be important to diagnosing mental health conditions. Phone, however, is more broadly accessible and may come with fewer technological issues.
Summary
In the context of mental health care, where non-verbal cues are tied to symptomology and diagnosing, and a strong relationship between patient and provider can enhance treatment, we encourage the use of video, especially for psychotherapeutic services. However, as phone is more accessible, we ultimately recommend an accommodating approach, one that flexibly makes use of both phone and video. Future studies on telehealth should focus on direct, head-to-head comparisons between phone and video and conduct more rigorous testing on whether clinical differences exist.
Journal Article
Expectations for Artificial Intelligence (AI) in Psychiatry
Purpose of Review
Artificial intelligence (AI) is often presented as a transformative technology for clinical medicine even though the current technology maturity of AI is low. The purpose of this narrative review is to describe the complex reasons for the low technology maturity and set realistic expectations for the safe, routine use of AI in clinical medicine.
Recent Findings
For AI to be productive in clinical medicine, many diverse factors that contribute to the low maturity level need to be addressed. These include technical problems such as data quality, dataset shift, black-box opacity, validation and regulatory challenges, and human factors such as a lack of education in AI, workflow changes, automation bias, and deskilling. There will also be new and unanticipated safety risks with the introduction of AI.
Summary
The solutions to these issues are complex and will take time to discover, develop, validate, and implement. However, addressing the many problems in a methodical manner will expedite the safe and beneficial use of AI to augment medical decision making in psychiatry.
Journal Article
Telehealth-Based Delivery of Medication-Assisted Treatment for Opioid Use Disorder: a Critical Review of Recent Developments
Purpose of Review
Telehealth-delivered medication-assisted treatment for opioid use disorder (tele-MOUD) has received increased attention, with the intersection of the opioid epidemic and COVID-19 pandemic, but research on recent developments is scattered. We critically review recent literature on tele-MOUD and synthesize studies reporting primary data under four themes: clinical effectiveness, non-clinical effectiveness, perceptions, and regulatory considerations.
Recent Findings
Despite increasing publications, most failed to include long-term comprehensive assessments. Findings indicate favorable outcomes such as improvements in retention and abstinence rates, positive experiences, and improved feasibility with the relaxation of regulatory measures. With increased adoption, clinician and patient perceptions appeared largely positive. Negative findings, albeit minor, were primarily associated with workflow adaptation difficulties and limited access of underserved populations to technology and internet connection.
Summary
Additional financial, logistical, outreach, and training support for clinicians, patients, and support staff is recommended, in addition to permanent evidence-based regulatory reforms, to scale and optimize tele-MOUD services. Comprehensive recommendations to overcome limitations are expanded therein.
Journal Article
Smartphones, Sensors, and Machine Learning to Advance Real-Time Prediction and Interventions for Suicide Prevention: a Review of Current Progress and Next Steps
Purpose of Review
As rates of suicide continue to rise, there is urgent need for innovative approaches to better understand, predict, and care for those at high risk of suicide. Numerous mobile and sensor technology solutions have already been proposed, are in development, or are already available today. This review seeks to assess their clinical evidence and help the reader understand the current state of the field.
Recent Findings
Advances in smartphone sensing, machine learning methods, and mobile apps directed towards reducing suicide offer promising evidence; however, most of these innovative approaches are still nascent. Further replication and validation of preliminary results is needed.
Summary
Whereas numerous promising mobile and sensor technology based solutions for real time understanding, predicting, and caring for those at highest risk of suicide are being studied today, their clinical utility remains largely unproven. However, given both the rapid pace and vast scale of current research efforts, we expect clinicians will soon see useful and impactful digital tools for this space within the next 2 to 5 years.
Journal Article