In the recent years, especially post inception of the Covid-19 pandemic, there has been a proliferation of mental health apps available to smartphone users. One of the main reasons why such platforms are rapidly being adopted is because they offer a wealth of resources that make therapeutic techniques more accessible, portable, and cost-effective as compared to the traditional in-house therapy.
While the vast majority of these apps do not have peer-reviewed research to support their claims, health experts predict they will play an important role in the future of mental health care by providing innovative solutions for the self-management of mental health disorders. Some researchers are working on guidelines for mental health apps and in the meantime, the American Psychiatric Association has developed an app rating system to help psychiatrists, clinical psychologists, psychotherapists, and other mental health clinicians assess the efficacy and risks of mobile and online apps.
Thus, the Mental Healthcare Software industry is bound to get more accurate over time! Accurate measurement and improvement of population mental health requires the recording of indicators that capture the full spectrum of disease severity. These indicators can be recorded successfully with the help of these mental healthcare software solutions and analysed through specific Machine learning algorithms, thereby making the platform itself smarter!
Please find below one such architecture that we have created using the AWS services. The architecture records the behaviour of individuals and analyzes their mood to predict their mental health needs.
Please find below the brief working of each AWS service being utilized: