Clinical Decision Support Systems – Frost Institute for Data Science & Computing

Yearbook of Medical Informatics: Ethics in Health Informatics

Contemporary bioethics was fledged and is sustained by challenges posed by new technologies. These technologies have affected many lives. Yet health informatics affects more lives than any of them. The challenges include the development and the appropriate uses and users of machine learning software, the balancing of privacy rights against the needs of public health and clinical practice in a time of Big Data analytics, whether and how to use this technology, and the role of ethics and standards in health policy. Read more “Yearbook of Medical Informatics: Ethics in Health Informatics” →

Publications

Imprecise Data and Their Impact on Translational Research in…

The medical field expects from big data essentially two main results: the ability to build predictive models and the possibility of applying them to obtain accurate patient risk profiles and/or health trajectories. Read more “Imprecise Data and Their Impact on Translational Research in Medicine” →

Publications

Data-Driven Clinical Decision Processes: It’s Time

Changes and transformations enabled by Big Data have direct effects on Translational Medicine. At one end, superior precision is expected from a more data-intensive and individualized medicine, thus accelerating scientific discovery and innovation (in diagnosis, therapy, disease management, etc.). Read more “Data-Driven Clinical Decision Processes: It’s Time” →

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Yearbook of Medical Informatics: Ethics in Health Informatics

Imprecise Data and Their Impact on Translational Research in…

Data-Driven Clinical Decision Processes: It’s Time