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Table of Contents
- What Is Panda and What Inspired the Product’s Development?
- Mental Health Issues In the Workplace - US Data
- What Is the Impact of Mental Health Issues on Workplaces?
- Challenges in Mental Health Software Development and Implementation
- Moving Away From Reactive Mental Health Care
- AI in Mental Health - Panda Health’s Case Study
- Benefits of Using AI in Mental Health Digital Products
- Ethical Considerations to Keep in Mind When Implementing AI
- Over to You
With ever-increasing demand and technology aimed at bridging the accessibility gap for mental health services, the mental health industry has been one of the fastest growing sectors in recent years. The transformation that it has been going through doesn’t show any signs of slowing down and now AI has also entered the stage. Why is this sector growing so rapidly and what’s the future of it, especially when it comes to workplace mental health support? How is AI going to reshape this domain?
We asked these questions during our recent event on ‘Revolutionizing Workplace Well-being: A Deep Dive into Mental Health and AI’ with Alon Lits, CEO of Panda Health joining us to answer them. The event was hosted by Lukasz Pawłowski, Senior Project Manager at Monterail - you can watch the discussion in full on our Youtube channel:
Here’s a recap of the event where you can read about the origin story of Panda and what still motivates the team to develop it further, the current mental health landscape, and the common challenges when building mental health software.
What Is Panda and What Inspired the Product’s Development?
Panda Health is a proactive mental health application focused on offering personalized mental health support, including group therapy sessions where you can talk about your challenges or just listen in, educational content that you can explore at your own pace, and access to therapists, coaches, and counselors.
The development of this digital product was largely fueled by Alon’s experience at Uber being one of its first employees in South Africa, and his business partner, Allan Sweidan’s background in clinical psychology. Right from the start, their premise was that mental health care is not as accessible as it should be. With WHO estimating that depression is the leading cause of disability, it was high time to start addressing this issue.
According to Alon, there are a few reasons that mental health support is not available to all worldwide:
- The stigma surrounding mental health care where people don’t acknowledge that they have a problem and they don’t ask for help due to fear of being judged, especially in the workplace;
- Cost of treatment and interventions is in a lot of cases prohibitively expensive because there are simply not enough mental health professionals - using the US as an example, there are enough specialists to help only 28% of the population;
- Lack of awareness of mental health symptoms and disorders with people having a hard time deciding whether they should contact a therapist, be admitted to a hospital, or would using a mindfulness technique be enough to help them. This is where mental health software could come in with its ability to conduct preliminary assessments for patients and offer them the services they urgently need.
All of these challenges impact not only the personal lives of millions of people but also have real-life consequences for businesses from various sectors.
The bottom line is that this has real repercussions on companies resulting in lost productivity where people are not as productive as they should be because of mental health-related issues, or people reach a point of burnout. Both of these issues can lead to absenteeism and are very tangible issues that we see in the workplace.
Mental Health Issues In the Workplace - US Data
- Nearly one-third (32%) of employees experience worsening mental health symptoms, including anxiety, depression, and ADHD, compared to the previous 6 months;
- Extensive analysis from 65 studies in 2022 revealed high prevalence rates among workers: 15% for anxiety disorders, 11% for mood disorders, and 7% for substance use disorders;
- 62% of 1,500 U.S. employees faced anxiety and depression; 20% missed work due to these issues;
- Depression-related presenteeism costs US employers $44 billion yearly, exceeding absenteeism and medical expenses;
- Only 50% of those needing mental health care get it due to stigma and accessibility issues, highlighting the urgent need for workplace support.
Looking at the data, it’s apparent that these issues would also be of significance for overall employee health in the workplace and business operations.
What Is the Impact of Mental Health Issues on Workplaces?
There's a real cost in terms of loss of productivity, not only to external conditions that are outside of businesses' influence but also due to internal company culture which can lead to employees leaving the workplace. In multiple studies, it’s often cited as the main cause of workers’ churn.
There are a number of independent studies that estimate between four to five times return on investment, if you're investing in mental health. So there is a straight positive ROI back to companies for that investment. Investing in employee mental health gives people the skills to become more resilient and effective in the workplace. Finally, people are much more likely, more than double likely, to recommend a workplace if they believe that their employer truly cares.
Challenges in Mental Health Software Development and Implementation
According to Alon, the biggest challenge - and the biggest opportunity - is understanding the users’ needs and providing them with what they really need. This requires launching a digital product as soon as possible even if it’s not perfect. It's one thing to theorize about potential customers and their expectations, and another - to launch and see how they interact with the product.
The MVP release will help you find answers to these vital questions:
- Are users enjoying and benefiting from therapy sessions?
- Are the features and functionalities that you’re building impactful?
- Is your product driving change and helping people get better?
As for the challenges in implementing mental health support in real-life workplace, Alon commented that what teams may be struggling with is buy-in from the leadership. Employees can clearly see when certain measures are implemented just to tick a box and won’t be modeling the expected behavior.
When companies use Panda, the engagement from the C-level executives is not only encouraged but also ensured by the leaders participating in the sessions and telling their own stories from a mental health perspective. This gives other team members an opportunity to be vulnerable as well with the main message being: ‘It’s ok not to be ok’.
Moving Away From Reactive Mental Health Care
When you look at the traditional mental health industry, it’s still very much focused on reactive care, meaning that patients can get help when they’re dealing with mental health issues. That’s - obviously - very important, but what Panda Health tries to do is different.
Instead of focusing on helping users only when they need it, their digital product is aimed at offering proactive mental health care where users are able to spot and mitigate some symptoms on their own, even before they will become apparent. Panda can guide them to health by suggesting ways to improve their sleep and nutrition, to avoid the risk of acute illnesses in the long term. Even if they will deal with more symptoms later on, the patients will already be aware of how and why to seek additional support. This way, users can also become more resilient and better equipped to manage any changes and uncertainties in their lives.
How is Panda ensuring the security of user data?
What’s important is that all users interact with the app on an anonymous basis so there are no visible elements that could be used to identify them. Even if you decide to speak up during a live event, your voice is disguised so no one would be able to recognize you. Panda’s app is an anonymous safe environment where patients can start their mental health journey on their own terms and in their own time.
That’s also very different from a traditional mental health care environment where you get into a room with a therapist, sometimes with a group of strangers as well, and you have to be vulnerable with them. While this type of therapy can also and has been proven to be effective, stigma around mental health issues can mean that using technology to share your concerns, doubts, and thoughts may beeasier for patients and serve as a safe first step in addressing their health challenges.
As of recently, the team at Panda has been also implementing AI-based features within the app, with the support from Monterail.
AI in Mental Health - Panda Health’s Case Study
While using AI for mental health care can be a sensitive topic, this technology can play a pivotal role in tackling the mental health epidemic. Here’s how Panda Health uses AI in its digital product.
One of the features where AI is involved are live sessions with therapists where users can ask the host or other participants any questions they may have but they can also query Panda’s AI assistant, Luna, and get responses in real time. There are also live sessions where Luna is the host where users can also type their questions and get answers during these live events.
Panda also offers AI coaching where users can use technology to develop their skills and get guidance on how to do that. These sessions are short - only 5 to 10 minutes a day - but can help users quickly achieve their specific objectives.
In the Panda app, artificial intelligence is also used to build macro profiles for individual users and offer them personalized services at the right time. The technology is also implemented to address any risks and predict situations where users may be asking for more advanced help. Again, it’s all part of the proactive mental health approach.
There’s also a feature for team leaders that helps them analyze and understand how healthy their team culture is and what methods they may want to use to help individual team members. Here’s where leaders can access anonymized data to create content and interventions to support their teams.
Benefits of Using AI in Mental Health Digital Products
When it comes to the benefits of using artificial intelligence in the Panda app and in mental health care in general, Alon lists a number of pros:
AI-based triage of patients - AI-enhanced tools for mental health care have been deemed effective by multiple studies and can serve as first-line support for people who need quick and practical help;
Increased accessibility - as mentioned, one of the challenges of the mental health sector is the lack of specialists who could treat patients - AI tools could help with this issue;
Dismantling the stigma around using mental health care - for some people, it may be easier to discuss their struggles and symptoms with a machine before they reach out to a human therapist;
Faster diagnosis and treatment plans - AI solutions can help mental health professionals diagnose patients much faster and prepare personalized treatment plans.
This is not to state that human specialists will become obsolete at some point - according to Alon, ‘there'll always be a place for mental health professionals, but AI will allow for better diagnosis. Imagine you could bring your AI mental health profile with you to your first therapy session, with all the data, a summary of everything that you've dealt with, and possible diagnoses'.
Ethical Considerations to Keep in Mind When Implementing AI
From Alon’s perspective, AI-enhanced tools for mental health software are still more suitable for educational purposes, and cannot be safely used where more advanced and intricate support is needed. One of the things to keep in mind when implementing technology for mental health care is that when patients express thoughts of self-harm, emergency help handled by humans, not AI, will be necessary. As it’s the case with healthcare in general, mental health services should be centered around the principle of ‘do no harm’.
AI-based features will be particularly suitable and useful in triage and escalation activities though where patients with more complicated issues can be directed to real health professionals, and those with challenges where relaxation techniques and mental health awareness would be enough, can be guided by technology to consider self-help measures.
Over to You
There you have it: a summary from the Monterail event with Alon Lits of Panda Health. If you’d like to be notified about our next events - follow our page on LinkedIn. The mental health sector is and will be one of our focus areas at Monterail, so make sure to check more information on how we approach mental health software development on our website:
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