Data Warehousing
As healthcare organizations (HCOs) move from fee-for-service care models to value-based care (VBC) models, data interoperability can provide a holistic view of the patient and provide the best possible care.
Syapse consolidates and processes real-world patient data from numerous large health systems around the world providing oncology care. Insights derived from this data help those health systems improve their quality of care, strengthen the efficiency of clinical trials and add to the body of clinical knowledge that supports oncology care decisions.
External pressures like reimbursement reduction, clinical quality reporting mandates and price transparency rules further underscore the importance of bringing together diverse data sources.
Lisa Hanselmann, Inria's European project manager, talks about how the FLUTE project is building a GDPR-compliant federated learning platform to allow researchers to share both real-world and synthetic data on prostate cancer.
Julie Harris, Children's Health Alliance senior director of population health, explains how giving providers more information at the point of care by tracking 35 key quality measures reduces their burdens in meeting value-based incentive targets.
Several factors combined to hit healthcare hardest again this year, but new research by the Ponemon Institute and IBM Security also found that using artificial intelligence in security reduced attacks' severity in terms of cost and recovery time.
Provider organizations that wish to engage in population health management must continually monitor, optimize and improve their data processes, says one analytics leader.
The HSA company says it has discovered "unauthorized access to and potential disclosure of protected health information and/or personally identifiable information stored in an unstructured data repository outside our core systems."
In her AI classes for medical students, Stéphanie Allassonière, professor of applied mathematics at the Univérsite Paris Cité, first teaches them how to properly collect and clean data to get the most accurate responses out of AI tools.
Saurabh Gombar, adjunct faculty at Stanford Health Care and chief medical officer at Atropos Health, details a study analyzing five LLMs, including ChatGPT and Gemini, examining accuracy and efficacy of the models' output.