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Artificial Intelligence (AI) and Machine Learning (ML): AI and ML-powered solutions are revolutionising healthcare by enabling accurate diagnosis, personalised treatment plans, and efficient drug discovery.
now that it has entered the digital world (albeit tepidly) via EHRs and IT support. Herding a patient’s data from many sources into a single record has always been a lofty goal of digital health. Blockchain can also ensure the accuracy of the data exchanged among entities, something a HIE (healthinformation exchange) cannot do.
Several factors are converging to make cognitive architecture a hot topic in HealthTech: Increased data availability: The explosion of medical data from various sources (EHRs, wearables, genomics, etc.) Why is it "one to watch" in 2025? provides the fuel for training and refining these AI systems.
Several key trends and predictions are emerging: Increased focus on digital health and AI: AI-powered diagnostics and drug discovery: Companies specialising in AI-driven medical imaging, genomics analysis, and drugdevelopment are likely to attract significant interest from larger pharmaceutical and technology firms.
Read more… On Switching EHRs and Decommission Legacy Systems. John spoke to Dan Chavez of the Santa Cruz HealthInformation Organization about why including SDoH data makes patient identity more challenging but also more valuable to the clinicians and patients that SCHIO serves.
Harnessing the power of human data, Myia equips clinicians with the precise information they need to both prioritize critical patients and prevent unplanned medical events. Myia provides clinical teams with contextualized proactive information targeted directly into their EHR and workflow.
The Office of the National Coordinator for Health IT has some money for you. The latest Leading Edge Acceleration Projects (LEAP) in Health IT funding opportunity will award grants to applicants working in two areas. The first is addressing health equity and SDOH using a combination of open-source technology and EHR systems.
Exec Summary: Medical Record Automation is the process of using technology to streamline and optimise the management of patient healthinformation. Data entry automation: Using software to automatically input patient information into electronic health records (EHRs).
Biotechnology: This is the use of living organisms to develop new medical products and services. Healthinformation technology (HIT): This refers to the use of information technology to store, manage, and analyze healthcare data. Examples include vaccines, gene therapy, and personalised medicine.
Sonja Tarrago, MD, Director of Commercial Strategy at DexCare The future of healthcare hinges on achieving true interoperability, defined as the seamless exchange of patient healthinformation across health systems in a way that improves patient care quality and clinician efficiency.
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