Research and Insights
Health care is in the midst of an AI-driven transformation, but we must do a lot of work to realize AI’s potential in the real world.
The Center for Digital Health and Artificial Intelligence (CDHAI) is a research-focused center that collaborates with academic institutions, industry partners, and government agencies to address health care challenges.
CDHAI particularly emphasizes technology solutions that can amplify patient safety and health care quality, improve health equity and reduce healthcare disparities, and help control cost. CDHAI serves as a focal point for coordinating collaborations across stakeholders that include academia, industry, government, and policy organizations.
The center’s extensive research portfolio includes a broad range of digital health technologies:
- Electronic health records
- Wearables and sensors
- Mobile technologies
- Artificial intelligence and Machine Learning (AI/ML)
- Social media data
Current focus areas include:
- Next generation AI models
- Responsible AI
- Value of virtual engagement
- AI implementation
- AI and patient behavior
- AI and health professionals
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AI/ML can improve healthcare but may worsen inequities. Leaders must ensure fairness with audits, benchmarks, policies, and education to support equity.
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Why it matters: Artificial intelligence is rapidly transforming the health care industry, and we must be vigilant to ensure that these technological advancements bring equitable outcomes. The Artificial Intelligence for Health Equity (AIHE) series at Johns Hopkins University addresses this challenge, ensuring that AI integration in health care fairly meets the needs of underserved communities.
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CGM-LSM improves near-future glucose prediction with high accuracy and robustness, advancing diabetes management through large-scale sensor data analysis.
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CDHAI delves into an anthropological trait every human being has possessed since ancient times: reciprocity.
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In the U.S., almost three-quarters of patients utilize five-star scale web ratings of physicians to guide them. But how much should you trust these online ratings?
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Why it matters: To ensure equitable health care access and delivery in the future, artificial intelligence designers and decision makers will need to follow bias avoidance best practices.
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Johns Hopkins Carey Business School’s Center for Digital Health and Artificial Intelligence is pleased to announce that Accenture Federal Services has become its latest partner. Accenture Federal Services’ applied intelligence practice will bring valuable insights to guide and shape CDHAI’s research portfolio.
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Fraud, waste, and abuse have been identified as some of health care’s most vexing challenges, contributing to rising health care costs.
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What factors contribute to the racial disparities in COVID-19 vaccination rates? Researchers found they are tied to each other more than you’d think.
