Dr Eyal Zimlichman, founder and director of Arc Innovation, global innovation in the field of health innovation and the director of innovation and transformation in Israel Sheba Medical Center, is a leading voice in the field of healthcare.
He sees how generative systems powered by suppliers develop rapidly in 2025, automating administrative tasks to reduce labor shortages and burnout. In addition, he believes that the artificial intelligence of patients, like virtual nursing avatars, will act more slowly due to regulations. But both, he said, will raise availability and reduce costs.
On a different health predicts Progress in precision medicine this year. He said that the adoption of digital pathology would speed up, providing biomarker’s results within a few minutes instead of weeks. AI integration with many enamors-genes, metabolomics, proteomics-will lead to adapted treatment methods and better results.
We conducted interviews with Zimlichman to talk about artificial intelligence and precision medicine and encourage him to give advice of CIO and other IT leaders in hospitals and healthcare systems about what they should have eyes in the coming year.
Q: Where do you see AI addressed to the supplier in 2025?
AND. Burnout and lack of doctors employees are ongoing as grave challenges in healthcare, and generative artificial intelligence can alleviate these problems by improving work flows and reduce administrative burdens.
In 2025, AI addressed to the supplier will significantly expand to reduce the loads between healthcare systems by automating tasks, such as data entering and transcripts, browsing EHR and files to separate the relevant patients’ data and other solutions that will significantly raise efficiency and enable Suppliers focusing on the patient care for administrative tasks.
Along with the development of specific models of the foundations of operate, such as radiology, digital pathology, etc., we will see the support of clinical decisions at a completely fresh level, compared to what we have used so far. I predict that we will start seeing regulatory approval, first for specific operate cases, and then for foundation models. This will slowly raise the integration of these solutions with clinical files.
Finally, with the arrival of regulation and better definitions of ethics and responsible application of AI, I predict professional connections to also raise the challenge and start dealing with AI technologies as an integral part of clinical guidelines. Based on emerging scientific evidence, this will bring the beginning of an era in which the supplier’s artificial intelligence will become widespread and constitute an integral part of clinical care.
Q: What are your forecasts about the patient’s artificial intelligence in 2025?
AND. Patients suffer directly from labor deficiencies, especially in areas such as mental health, which is very lacking in sufficient suppliers. That is why I think that we will see a huge pursuit of solutions in which artificial intelligence, and specifically generative artificial intelligence, can assist us face this challenge.
In 2025, AI addressed to patients will play a growing role in systems such as digital nursing assistants to provide information on how to deal with different conditions or Generative therapies of mental health led by AI, which can provide the support of the first throw, offering patients immediate care and assist clinicists to manage larger patient volumes.
These platforms can improve consumption processes, raise availability and reduce the waiting time, enabling professionals to effectively treat more patients. While AI will support – not replace – clinicians, it will assist improve care availability and relieve pressure on the healthcare system, which will significantly reduce the burden of work and reduce costs.
I predict that we will also start appearing virtual health trainers, based on Genai, trained for specific purposes – from well -being and aging, to chronic conditions, such as heart failure and diabetes.
Virtual trainers ensure the potential of lifestyle changes, including compliance with drugs, and also enable patients to strengthen the position of patients, providing appropriate information at the right time to make conscious decisions.
Q: What happens in the field of precision medicine in 2025?
AND. There are current breakthrough in precision medicine that has already begun, which, as I expect, develop significantly and develop in 2025 and later – especially in biomarkers identification, which enable more adapted treatment of individual patients.
We will probably see that suppliers operate artificial intelligence to analyze existing Multi-Nomics data, which go beyond genetics with areas such as digital pathology, metabolomics and proteomics. These technologies offer a deeper insight in the way of adapting treatments based on the unique patient’s profile.
Digital pathology is becoming more and more commonWe will start to see AI powered digital pathology, which will allow faster results of biomarker identification, enabling personalized treatment to start the same day diagnosis, instead of waiting for weeks for genetic sequencing, which is the current norm.
This approach will allow prior intervention, improvement of patients’ results and prognosis, and transforming the method of providing healthcare.
Precision medicine will also allow us to adapt prevention based on individual forecasts. Huge data sets, including fresh biomarkers, such as microbiome, metabolomics and even voice biomarkers, will allow us to predict specific diseases such as cardiovascular, cancer and dementia. Preventive efforts will no longer be the approach “one size matches everyone”.
Q: In general, what should CIO and other IT leaders have in hospitals and healthcare systems in the coming year?
AND. We reach the point where data infrastructure and standards allow organizations to better operate their data resources. Huge data sets platforms would raise better access to data analysis and insights throughout the organization.
Ensuring solutions that allow self -service staff members, along with the needed change in culture, would unlock huge potential so that organizations become more effective and competent. Each organization should build a strategic plan to get there and look for the best on class platforms that will allow this transformation.
With rapid development and Extending Genai solutions, CIO should know existing solutions, mainly at the moment at the most crucial purpose to reduce staff loads and take care of the shortage of labor. CIO should learn to assess these solutions and the required regulations around AI.
The huge potential, which is inherent in Genai, in combination with the risk that still exists, will require knowledge of this field. Integration with EHR will facilitate integration, and we will probably see the breed of leading EHR suppliers to develop/purchase systems and integration as a distinguishing feature in this field.