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TriNetX Journey: Challenges in Building a sustainable global data and analytics platform for clinical trials and research
Webinar
We look back at the decade of effort to build, operate and grow the TriNetX strategic platform found in research informatics portfolios of many healthcare organizations and academic medical centers world-wide.
Occupational Codes for Clinical Informatics Webinar
Policy
The AMIA Public Policy hosts a webinar focusing on the progress for the clinical informatics industry formally through designated occupational codes.
Rise of the AI Scribe - A Practical Discussion on Ambient Documentation Evaluation and Implementation
Webinar
Advances in artificial intelligence over the last year are starting to become a reality in many medical practices. Medical documentation is certainly not immune to these changes and AI scribe software vendors promise to revolutionize the way we document and summarize patient encounters. This collaborative session will allow for discussion of the practical considerations and potential concerns related to the use of AI for note generation in patient encounters.
Improving Acute Kidney Injury Prediction and Risk Factor Analysis with Personalized Transfer Learning
Webinar
Acute kidney injury (AKI) is a life-threatening clinical syndrome prevalent in hospitalized patients (10% to 15% affected), especially among critically ill patients (>50% affected), and has exceeded the annual incidence of myocardial infarction. AKI patients are at much higher risk for developing poor long-term outcomes including incident and progressive chronic kidney disease, cardiovascular disease, and death.
JAMIA Journal Club Webinar - September 2023
JAMIA Journal Club
Automated detection of causal relationships among diseases and imaging findings in textual radiology reports Read the abstract Presenter Statement of Purpose Medical records are known to contain a wealth of information that can be used to better understand diseases and associated conditions. In particular, electronic health record (EHR) data can [...]
