How does healthcare be affected by genAI and precision medicine in 2025?

​Dr. Eyal Zimlichman, founder and director of ARC Innovation, a global medical technology testbed, and main technology and change officer at Israel’s Sheba Medical Center, is a leading voice in healthcare IT. He anticipates that provider-facing conceptual AI-powered systems will be expanding quickly in 2025, automating administrative tasks to lessen employee stress and shortages. Additionally, he believes patient-facing AI, like online nursing avatars, may progress more slowly according to rules. But both, he said, may increase availability and reduce expenses. He anticipates improvements in accuracy medicine on a different wellness IT front this year. Digital disease implementation will promote, delivering diagnostic results in hours instead of weeks, he said. Artificial integration with multi-omics – genetics, metabolomics, proteomics– may lead to suited treatments and better outcomes, he predicted. Zimlichman and other IT officials at hospitals and health systems should have some tips on what to keep an eye on in the upcoming year as we speak with him to discuss AI and precision medicine. Q. Where do you see provider-facing AI heading in 2025? A. Healthcare continues to face significant challenges due to physician burnout and workforce shortages, and conceptual AI can help address these issues by streamlining processes and lowering operational costs. By automating tasks like data entry and transcription, reviewing EHRs and files to extract pertinent patient data, and different solutions that will significantly increase efficiency and enable providers to concentrate on patient care rather than operational tasks, provider-facing AI will increase significantly in 2025 to lower workloads across health systems. With advancement of particular use situation basis models, such as for radiology, online pathology, etc., we will see clinical decision support at a completely new level, compared to what we used so far. I predict we will start seeing regulatory approvals, first for specific use cases, and later for foundation models. These solutions will gradually become more integrated into clinical files as a result. Finally, I predict that professional associations will rise to the challenge and begin addressing AI technologies as an integral part of clinical guidelines as a result of regulation stepping in and better definitions of the ethics and responsible use of AI. This will set the stage for a period in which provider-facing AI will become prevalent and a necessary component of clinical care, based on current scientific evidence. Q. What are your predictions for patient-facing AI in 2025? A. Patients are directly affected by workforce shortages, particularly in those whose services are desperately lacking from enough providers, especially in those in fields like mental health. In light of this, I believe we will see a significant push toward solutions where AI, and more specifically generative AI, can help us overcome this issue. Patient-facing AI will become more prevalent in 2025 through systems like generative AI-driven mental health therapies that can offer patients immediate care, assist with managing larger patient volumes, and provide information on how to handle various conditions. These platforms can make intake procedures simpler, make things easier, and shorten wait times, enabling doctors to see more patients quickly and effectively. AI will assist in improving access to care and reducing the burden on the healthcare system, which will significantly reduce the number of people needed and lower costs. I anticipate that genAI-based virtual health coaches will start to appear for specialized purposes, ranging from preventable aging and wellness to chronic conditions like heart failure and diabetes. Virtual coaches allow empowering patients by providing the right information at the right time for them to make informed decisions as well as the potential for lifestyle changes, including medication adherence. Q. What do you anticipate 2025 to be happening in the field of precision medicine? A. In addition to the identification of biomarkers that enable more personalized treatments for individual patients, there are also currently being made progress in precision medicine that I anticipate will significantly expand and advance in 2025 and beyond. Providers will likely use AI to analyze already-existing multi-omics data, expanding beyond genetics to include fields like digital pathology, metabolomics, and proteomics. These advances provide more information about how treatments can be tailored based on a patient’s unique profile. With digital pathology becoming more common, we will start seeing AI-powered digital pathology, which will allow for faster results in biomarker identification, enabling personalized treatment to begin the same day of diagnosis, rather than waiting weeks for genetic sequencing, which is the current norm. This strategy will enable earlier intervention, enhancing the prognosis and quality of care for patients, and changing the way healthcare is delivered. Precision medicine will also enable the use of personalized prevention strategies. Large data sets, including novel biomarkers such as microbiome, metabolomics and even vocal biomarkers, will allow us to predict specific diseases such as cardiovascular, cancer and dementia. Prevention efforts will no longer be a “one size fits all” approach. Q. What should CIOs and other IT managers at hospitals and health systems be focusing on in the long run? A. We are at a point where organizations can better utilize their data assets thanks to data infrastructure and standards. Better access to data analytics and insights across the organization would result from big data platforms. Offering solutions that enable staff members to self-service themselves and the required culture change would have enormous potential to help organizations become more effective and efficient. Each organization should develop a strategic plan to achieve that goal, and look for best-in-class platforms that will enable this transformation. CIOs should be familiar with the existing solutions, which are primarily focused on the most crucial goal of reducing staff strain and addressing workforce shortages, given the rapid development and expansion of genAI solutions. CIOs should learn how to evaluate these solutions and the necessary regulations relating to AI. Knowledge of this field will be required given the enormous potential that genAI has, as well as the risks still present. Integration into EHRs will make it simpler, and there is a chance of a competitive field of leading EHR vendors collaborating to develop/buy systems and integrate as a distinguishing factor. Follow Bill’s HIT coverage on Linked In: Bill Siwicki
Email him: bsiwicki@himss .org
Healthcare IT News is a HIMSS Media publication 

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