In this late 2018 paper published in BMC Medical Informatics and Decision Making, Pathinarupothi et al. with the Amrita Institute of Medical Sciences present their Rapid Active Summarization for Effective Prognosis (RASPRO) framework for healthcare facilities. Noting an increasing volume of data coming from body-attached senors and a lack of making the best sense of it, the researchers developed RASPRO to provide summarized patient/disease-specific trends via body sensor data and aid physicians in being proactive in more rapidly identifying the onset of critical conditions. This is done through the implementation of "physician assist filters" or PAFs, which also enable succinctness and decision making even over bandwidth-limited communication networks. They conclude the system "helps in personalized, precision, and preventive diagnosis of the patients" while also providing the benefits of availability, accessibility, and affordability for healthcare systems.
This is a collection of free online introductory laboratory informatics courses developed by the Centers for Disease Control and Prevention (CDC) and the Association of Public Health Laboratories (APHL). The first two courses follow the journey of a specimen through the laboratory and explores the generation and transmission of data and results within and outside of the laboratory. A third course on laboratory informatics systems is in development. Participants can earn Professional Acknowledgment for Continuing Education® (P.A.C.E.®) credits upon completion.