We build AI-powered portals and dashboards to augment clinician skills and engage patients, so as to improve the behavioral healthcare experience for all.
More than 25% of people, globally, have had a severe mental health or addiction challenge at one point in their life. The number one cause of workplace disability worldwide, is depression.
A bright idea, whose time has come. Virtual care was a great idea before COVID-19. Now it is essential. Virtual care is a good fit for Behavioral health. Some people are actually more truthful to a survey than they are to their treatment provider, because they feel less judged.
More and more people are accessing virtual care, whether it is a meditation app or tele-psychiatry. This is good news. Furthermore, there is more awareness of mental health challenges, less stigma, more money available for research, services and housing. But it's the outcomes that still elude us. The rate of successful return to function is worse in behavioral health than any other discipline.
Patients are falling through the cracks. Why? Assessment is not uniform; care is not co-ordinated and no one is monitoring outcomes. Clinicians are busy and have no interest in another layer of technology, or more ways that their patients can reach them after hours. Security has been an issue in the past.
The behavioral health system is fragmented. There are numerous unconnected silos that don't talk to each other. Electronic health records are a black box. Unfortunately, those things are not going to change anytime soon.
Very few of those who need care, get it. Of all the people who have a mental condition, only about 60% admit they need help. Only 60% of those will be diagnosed. Only 60% of those will be treated. 1 year later, only 20% of those people are still engaged in treatment. That means of all the people who have a mental condition only 4% are still engaged in treatment. How many have returned to full function?
There are too many gaps. We believe that we can do better. But neither more clinics, nor more doctors, nor more research will solve this problem. The only way to improve outcomes, at the same price, is to invest in human-centered technology.
There is no reason why all the patient's information needs to be collected in the patient visit. Saving time collecting data means more time to spend connecting with the patient.
At the moment, every clinician does what they think is best. That's great, but what if a clinician had a dashboard, where they could monitor all their patients with a certain condition, get insight and then with the click of a mouse, adjust their care based on the new information. That's data driven care.
Done properly, technology can augment the power of care. It's been reported that patients are more engaged when they can self-monitor. And, everybody knows that engagement is the new block-buster drug.
How much time is wasted, how much is care compromised when one clinician can't communicate with another in real time? The technology exists to have multiple providers of different disciplines, talking to each other in real time. Care co-ordination saves time, money and suffering.
Think of AI as 'augmented intelligence'. It is nothing more using computing power to augment the intelligence of a provider, by seeing patterns in the data, that a clinician might have difficulty seeing themselves.
Machine Learning is clinician learning. The clinician's decision tree can be optimized as the 'machine' compares different outcomes and 'learns', what works best, and then provides insights that allow the clinician to adjust their care accordingly.