While Behavioral Health innovations, new business models and the shift to virtual care were already booming before the covid pandemic, they have gained center stage in 2020 and 2021. The reason is clear — the pandemic itself has been stressful for everyone. From Baby Boomers to Generation Z, each life stage comes with their own unique set of stressors during a global crisis — no one is immune. …
Virtual reality is enabled by the rapid advancement and convergence of multiple technologies — sensors, cameras, connectivity, computing power, computer storage, increased processing speeds — but the software itself is driven by artificial intelligence. VR doesn’t exist without AI.
There are VR software programs that have already cleared the FDA and are being used in the hospital. …
Americans will generate more clinical grade biological data like daily vital signs in the next 5 years than has previously been recorded in the past 20 years. The data will be more accurate since it won’t be one snapshot in time, but many snapshots in someone’s daily life.
While most clinical grade vital signs are collected and recorded in a healthcare setting like a clinic, hospital, or ER, there are a number of factors changing that quickly. …
From AI voice bots to vocal biomarkers
In the past couple of years, the error rate for understanding spoken English using the most cutting edge AI voice programs has dropped to under 3%. If you are an American born English speaker, your error rate at understanding spoken English is about 4%. Which means cutting edge AI software is now better than Americans at understanding spoken English.
AI Voice Technology is intersecting healthcare in many ways — and this is still the early days of AI…
The Payor? The Patient? The Provider? The Employer? Major Health Plans? The Gov’t?
Installment 3 of the AI in Healthcare Series with Michael Ferro
Written by Robin Farmanfarmaian
The answer is … it’s complicated.
It depends on what the software does and the benefits of using the software. There are many uses for AI enabled software outside of directly treating patients, including inventory management, nurse scheduling, research, drug discovery — and that’s just to name a few applications. It is clear who pays for those types of software programs: pharma will pay for drug discovery, hospital operations will pay for…
Second Installment on the Artificial Intelligence in Healthcare Series with AI expert and healthcare tech entrepreneur Michael Ferro.
Written by Robin Farmanfarmaian
Click here to read the first installment of the AI in Healthcare Series
The Digital Therapeutics Alliance defines DTx as products that “deliver evidence-based therapeutic interventions to patients that are driven by high quality software programs to prevent, manage, or treat a medical disorder or disease.”
Note: Robin Farmanfarmaian recently interviewed Michael Ferro about his ideas on artificial intelligence. Michael has been granted multiple patents and has founded or rebuilt many companies in AI including Merge Healthcare, which he sold to IBM for $1B in 2015.
Michael believes AI is a main tool that can be used to democratize healthcare. This series covers AI innovations we talked about that touch patient care directly, including remote patient monitoring, imaging analysis, digital therapeutics and more. Check back here weekly for the next installment — Robin Farmanfarmaian