Top 3 Mental Health Software Trends of 2020

The proliferation of patients suffering from mental illness this year has concluded that the year has not been easy for many. This could be due to many reasons but the elephant in the room is COVID-19, which has caused a lot of harm to the public in many ways, including thousands of people getting laid off from their jobs, everything going remote causing feelings of loneliness and seclusion, anxiety about health concerns due to the rapid spread of the virus, and more. The public is learning to adjust to the ongoing situation, but a large chunk of those people are struggling. 


On a brighter note, these uncertain times are stirring a rapid growth in mental health software trends that were believed to be seen in 5-10 years. Additionally, doctors and physicians are taking close note of what patients really need during the era of social distancing. Let’s have a look at the top three mental health trends this year which will aim to reduce the rate of mental illness patients in the near future. 



(1) Rapid Use of Well-Being apps such as Calm and Headspace: The meditation app industry is rising to new heights every day, with the Headspace app reporting a 20% increase in downloads since March. More Americans are finding such apps beneficial as access to healthcare is still difficult. 



A number of doctors and physicians have decided to create their own custom mental health app for their patients to track their well-being and easily communicate with their healthcare organization or clinic. These apps are not necessary only for mediation, but also the following:


  • Connecting patients to board-certified mental health professionals
  • An online portal where patients can simultaneously get in touch with various coaches, therapists, and psychiatrists to receive the highest level of care
  • Providing therapy services to patients in rural areas
  • Custom lifestyle tracking apps to help doctors easily gain info on patient habits



(2) Machine Learning Tracking The Language of Social Media Users To Determine Mental Health Levels: Perhaps one of the neatest and most innovative mental health software trends to combat the rise of mental health patients, machine learning is coming to the rescue. One of the best ways to reduce mental illness levels is to track negative mental behavior before it emerges at a deeper level. But how can this be made possible?



Machine learning can track the verbiage that the public is using online. You might be thinking, ‘Yeah, that’s good but many do not express their sadness and dissatisfaction on social media. They only show their good side.’ You are right. However, with millions of Americans being able to express themselves anonymously online through forums such as Reddit, there is enough data for machine learning to work with, which is also more accurate data. For more information, have a look at this informative article on a machine learning study done on 800,000 Reddit users to track mental health near the beginning of the pandemic



(3) Stricter privacy requirements of mental health patients: You cannot address the topic of remote services without bringing up patient privacy. With mental health services being conducted online, there has to be a greater level of cybersecurity measures in place. HIPAA compliance practices are being heavily implemented this year, and are at an all time high. You have to make sure that your healthcare organization is meeting the New HIPAA Regulations of 2020.



Sunvera understands the progression of the mental health industry along with the pandemic, and can help doctors, physicians, and therapists implement the right solution which can significantly improve the level of communication between your healthcare organization and the patients, as well as increase patient satisfaction. We have helped numerous clients in the field of mental care, including telehealth, and we offer a free consultation to discuss your organization’s needs. 


US falling behind in AI, ML

According to Forbes magazine 80% of enterprises already have some form of AI (artificial intelligence, machine learning, data analytics) initiatives with Asia Pac leading the field. Product Innovation and Research & Development, Data engineering, Intelligent workflow and decisioning automation, and analytic operations at scale being main areas for AI.

In many of the areas, US is behind both AsiaPac and Europe which is concerning given that traditionally US has lead the way in emerging technologies.


State of Affairs

The three main points from Forbes article are:

• 80% of enterprises already have some form of AI (machine learning, deep learning) in production today.
• 30% of enterprises are planning on expanding their AI investments over the next 36 months.
• 62% expect to hire a Chief AI Officer in the future.

An interesting insight from the article is that enterprises are starting to benefit from AI like never before. More enterprises benefiting would mean more and widespread application of AI techniques.

What can we do?

However, the fundamental question (like always) – is it vaporware? And when is the right time to jump in? And what can we do to establish US dominance in such emerging fields.

We at Sunvera started working on AI (machine learning/data-analytics) three years ago when we developed a product for a client in the financial sector. The AI web portal was designed to accurately forecast macro-economic metrics for application in financial investments to maximize returns and minimize losses. The system uses historic macro economic indicators to derive near future and long-term forecasts.

The mean error between actual and forecast values was less than 0.25% indicating a high confidence factor in results.

Our experience developing the product has helped us understand the nuances not only from a software development point of view but also from client’s application of AI to their businesses.

For example: in any application involving Artificial Intelligence, Machine learning or data analytics, it is important to start with good and sufficient data. It is also important to have wider datasets – factors not directly affecting outcome – to ensure good results. Finally, determining how to present results – web portal, mobile apps – is important ensure clients are able to benefit from the application.

At Sunvera Software we we can help you navigate and benefit from AI, ML and data-analytics. We know to separate vaporware from real when it comes to your specific solutions and help increase revenues and reduce losses.