Leaders within the digital well being area informed MobiHealthInformation their predictions about the place AI will take advantage of vital mark in healthcare in 2024.   

Following the appreciable improve in using AI in healthcare in 2023, stakeholders count on subsequent yr to convey even wider adoption of the know-how throughout varied sectors, from implementation in physician-facing instruments to assist ease supplier burnout to addressing customers’ loneliness.

Neil Patel, head of recent ventures at Redesign Health

“At the enterprise level, uncertainty around OpenAI’s future may lead to organizations taking a step back to develop an AI strategy that isn’t so dependent on a single platform–analogous to the multi-cloud strategy discussion. From a use case perspective, until more traceability and verification for AI-generated outputs and regulation catches up, AI will be pointed at administrative and operational use cases vs. clinical and patient-facing ones.”

Doug Hirsch, cofounder and chief mission officer at GoodRx

“This yr, we noticed AI, ChatGPT and VR dominate tech conversations. And I’m certain we’ll proceed to see customers and the well being system embrace these options not directly, form or type subsequent yr. But I actually suppose the business ought to prioritize making use of the know-how that solves our most elementary healthcare challenges. 

That doesn’t essentially imply we’d like the flashiest know-how. In reality, the shiniest options usually are usually not instantly scalable, and due to this fact, their promise to raised our healthcare system lies a number of years down the street. My hope is we’ll see extra good purposes of AI that improve transparency inside the healthcare system.” 

Kourosh Davarpanah, CEO and cofounder of Inato 

“In 2024, we will see an unusually swift adoption of AI at all levels of the healthcare industry. This trend is already evident in the biopharma industry. Traditionally a slower adopter, biopharma is already using AI at scale from drug discovery to portfolio management, all the way to clinical trial design and delivery.”

Matthew Stoudt, cofounder and CEO of AppliedVR

“We are entering the Cambrian explosion of AI in healthcare. Using algorithms to better respond to individual patients and personalize care will be a new frontier for AI, and in VR, there are opportunities to deliver AI-driven one-to-one and group therapy sessions as well as precision VR therapy based on each person’s biofeedback data. I’m excited to see the impact AI will make across the ecosystem.”

Sam Glassenberg, CEO and founding father of Level Ex

“Here are three main waves we will count on in 2024 that aren’t being talked about a lot (if in any respect):

1. Use of genAI to generate compelling and self-consistent coaching content material for docs. To create efficient and enjoyable coaching circumstances, you usually want a big area for docs to discover affected person responses, check outcomes, outcomes, and so on. 

2. Use of genAI to unravel the arduous issues in healthcare. There is a typical false impression that genAI’s R&D worth is in changing low-to-mid-level programmers. We’ve discovered that essentially the most compelling use of genAI is when top-decile engineers use it to quickly speed up fixing extraordinarily advanced R&D issues, particularly people who require deep multidisciplinary data throughout math, physics, drugs and different fields. 

3. Use of genAI to unravel loneliness. There is an epidemic of human loneliness that’s liable for each great psychological struggling and a broad set of unfavourable well being outcomes. In 2024, geriatric sufferers can spend time with their favourite fictional or non-fictional human, full with photo-accurate rendering and a voice and character that’s indiscernible from the actual skinny–a private confidante who cares about nothing greater than no matter that affected person desires to speak about that day.”

Amit Khanna, senior vp and common supervisor of well being at Salesforce 

“My prediction is that generative AI will transform healthcare, fundamentally changing the cost trajectory of the industry. GenAI will be used for a number of things, including creating efficiencies in claim management and summarization, turning unstructured data into insights, and spotting trends/patterns to better predict at-risk patients. It will also be applicable in the life sciences industry, accelerating clinical trials, including the trial recruitment and enrollment process, such as identifying eligible participants and matching them with the right sites to reduce drop off in a clinical trial study.”

Dr. Peter Bonis, chief medical officer at Wolters Kluwer Health

“The adoption of synthetic intelligence within the medical setting will proceed to evolve, significantly with generative AI for medical determination assist, as healthcare organizations start piloting and evaluating these options for accountable and protected affected person care purposes. Generative AI has the potential to assist clinicians make selections extra precisely and effectively on the level of care. 

However, the capabilities of AI will far outpace the scaled-up adoption of AI purposes, that are constrained by workflow, competing priorities and financial issues driving uptake. We count on many of the uptake to be dominated by current workflow purposes comparable to EMRs and associated companies like documentation, though operational purposes comparable to nurse scheduling, income cycle administration and prior authorization will even get an AI increase.”

Munjal Shah, cofounder and CEO of Hippocratic AI

“The World Health Organization is projecting a global shortfall of 10 million health workers by 2030. This coming year we will use generative AI to begin to solve healthcare’s staffing crisis in a safe and scalable way. Imagine if we had an unlimited nurse capacity to provide chronic care management to every person in the world. Only generative AI has the potential to provide this level of ‘super-staffing.'”