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On the pharma front, expect an emphasis on AI for inventory management and targeted drugdevelopment , plus a shake-up in the market for weight-loss drugs. Read more… 2025 Predictions: Interoperability and Cloud Services. Critically, this may mean EHR systems need a bit of a redesign.
now that it has entered the digital world (albeit tepidly) via EHRs and IT support. According to an excellent whitepaper describing a case study of Medrec , a platform utilizing blockchain technology, health information interoperability is facilitated with the use of blockchain.
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.
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.
To address mounting expenses, rural healthcare providers are turning to specialized EHR systems and AI assistants to maximize the efficiency of in-person patient visits. These technologies streamline inpatient and outpatient services, reducing costs for healthcare facilities and patients.
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.) Ensuring data accuracy, privacy, and interoperability is crucial. Why is it "one to watch" in 2025?
Challenges and Opportunities While MRA offers immense potential, challenges remain, such as: Data interoperability: Ensuring seamless data exchange between different systems. Data entry automation: Using software to automatically input patient information into electronic health records (EHRs).
Examples include electronic health records (EHRs), clinical decision support systems, and population health management systems. Drug discovery: AI-powered tools will accelerate the drugdevelopment process by analyzing vast datasets.
Administrative Tasks: Electronic Health Records (EHRs): Co-pilots can automate data entry and retrieval, reducing administrative burden on healthcare providers. Dosage Optimisation: AI can optimise drug dosages to minimise side effects and maximize therapeutic benefits.
Check out our community’s Healthcare Interoperability and Healthcare Cloud predictions: Sufian Chowdhury, CEO at Kinetik Conquering interoperability will unlock efficiencies. There will be a huge push to unlock efficiency in healthcare, and a key driver will be conquering interoperability.
The Interoperability Year: More Technologies in the Marketplace Drive the Critical Need for Interoperability: In the rapidly evolving landscape of clinical trials and the myriad of technologies going to market, the imperative for interoperability will become increasingly evident.
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