Leaders in the digital health field speak MobiHealth releases predictions about where AI will have the most significant impact in healthcare in 2024.
With the use of AI in healthcare increasing significantly in 2023, stakeholders will spend the next year looking to expand the use of AI in tools for physicians to reduce provider burnout to address consumer loneliness. We expect to see more widespread adoption of this technology in a variety of sectors.
Neil Patel, Head of New Business Redesign your health
”At the enterprise level, uncertainty about the future of OpenAI may cause organizations to take a step back in developing AI strategies that are less dependent on a single platform, similar to discussions of multi-cloud strategies. From a use case perspective, until there is more traceability and validation of AI-generated outputs and regulations, AI will be directed toward administrative and operational use cases rather than clinical and patient-facing use cases. It will be. ”
Doug Hirsch, Co-Founder and Chief Mission Officer Good R
“AI, ChatGPT, and VR have dominated the technology conversation this year, and we are confident we will continue to see consumers and healthcare systems embrace these solutions in some form next year. But I think the industry needs to prioritize the application of technology that solves the most fundamental medical challenges.
That doesn’t necessarily mean you need the flashiest technology. In fact, the best solutions often cannot be scaled quickly, and the promise of improving health systems is years away. My hope is that we will see more smart applications of AI that increase transparency within the healthcare system. ”
Kourosh Dhavalpana, CEO and Co-Founder Inato
“By 2024, AI will be deployed at an unprecedented rate at all levels of the healthcare industry. This trend is already evident in the biopharmaceutical industry. We are using AI at scale from everything to portfolio management to the design and execution of clinical trials.”
Matthew Stout, Co-Founder and CEO Applied VR
”We are entering the Cambrian explosion of AI in healthcare. Using algorithms to better respond to individual patients and personalize their care is a new frontier in AI, and with VR, AI-driven one-on-one and group therapy sessions, as well as There is an opportunity to provide precision VR therapy. Biofeedback data. I’m excited to see the impact AI will have on the entire ecosystem. ”
Sam Glassenberg CEO and Founder Level Ex
“Here are three big waves expected in 2024 that are less talked about, but not talked about at all.
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Generate compelling and consistent training content for physicians with genAI. Creating effective and entertaining training cases often requires a large space for physicians to explore patient reactions, test results, results, etc.
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Using genAI to solve difficult problems in healthcare. A common misconception is that genAI’s R&D value lies in replacing low to mid-level programmers. The most attractive use of genAI is that top decile engineers are using genAI to solve highly complex R&D problems, especially deep interdisciplinary knowledge across mathematics, physics, medicine, and other fields. We’ve found that it’s time to quickly accelerate the resolution of problems that require .
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Utilizing genAI to solve loneliness.there is The prevalence of human loneliness It is responsible for both tremendous psychological distress and widespread negative health effects. In 2024, elderly patients will have access to their favorite fictional or non-fictional humans, with photo-accurate renderings and voices and personalities indistinguishable from real skinny people – just what they want. You will be able to spend time with your personal best friends who care about you. To talk about that day. ”
Amit Khanna, Senior Vice President and General Manager, Health sales force
”My prediction is that generative AI will transform healthcare and fundamentally change the cost trajectory of the industry. GenAI is used for a variety of purposes, including streamlining claims management and summarization, transforming unstructured data into insights, and identifying trends/patterns to better predict at-risk patients. It can also be applied to the life sciences industry to accelerate clinical trials, including the trial recruitment and enrollment process, such as identifying eligible participants and matching them with appropriate sites, to reduce attrition in clinical trial studies. can. ”
Dr. Peter Bonis, Chief Medical Officer Wolters Kluwer Health
“Deployment of artificial intelligence in clinical settings will continue to evolve, particularly with regard to generative AI for clinical decision support, as healthcare organizations begin piloting and evaluating these solutions for responsible and safe patient care applications. I will continue: Generative AI can help clinicians make point-of-care decisions more accurately and efficiently.
However, the capabilities of AI greatly exceed the adoption of AI applications, which are constrained by workflows, competing priorities, and economic considerations that drive adoption. We expect the majority of adoption to be driven by existing workflow applications such as EMR and related services such as documentation, but operational applications such as nurse scheduling, revenue cycle management, and pre-authorization will also be powered by AI. It will be. ”
Munjal Shah, Co-Founder and CEO Hippocrates AI
“The World Health Organization predicts a global shortage of 10 million healthcare workers by 2030. Next year, we will use generative AI to address healthcare shortages in a safe and scalable way. Start working on solutions. Imagine if we had unlimited nursing capabilities to offer.”