Population-centric: This category includes tools that enable care delivery at the population level and tools that enable health system operations. While this area is of primary interest to healthcare providers, hospitals and health systems, given its impact on public health, governments also must act to influence progress and explore integrations with health promotion and prevention activities. Stakeholders must also ensure population level approaches strongly consider responsibility, and propagate health equity rather than biases – to avoid a “digital divide”. Here’s how AI is helping or can help: – Care operations: Administrative AI and automation tools can help healthcare providers better predict and prevent fraud and integrity issues and optimize staffing levels, lowering healthcare costs by eliminating waste. – Care informatics: Hospital systems rely on IT and data systems that connect providers with patient populations to manage public health and create interventions. In some cases, multilateral teams are exploring the use of AI on informatics systems to predict disease spread, i.e. pandemic preparedness. – Care delivery: These applications range from robotics-assisted surgery to everyday tasks, such as using conversational AI to triage patients. Product-centric: This includes tools to assist in clinical research for drug discovery and development efforts. Both biopharma and health tech have invested heavily in this arena, and the public sector has ramped up interest as well to help accelerate medical innovation. Here’s how AI is helping or can help: – Drug discovery and research: AI is being used to sift through millions of known compounds in search of cures and discover new drugs; or even predict the structure and effect of new pathogens and threats before they emerge. – Clinical development: Life sciences companies are using AI to optimize clinical trial site selection and participant recruiting and retention, hoping to accelerate the 17-year average timeline from asset discovery to patient benefit. Scaling Smart Solutions with AI in Health: Unlocking Impact on High-Potential Use Cases 8
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