We validated the crowdsourcing approach for generating a knowledge base of problem-medication pairs in a large non-university health care system with a widely used, commercially available electronic health record, indicating that the approach may be generalizable across healthcare settings and clinical systems.
A short video presentation using the “TedTalk” format by Dean F. Sittig, PhD that describes various EHR configuration challenges and opportunities.
A short demonstration of the clinical summarizer by Jeff Klann. The demo is based on this publication: Klann JG, McCoy AB, Wright A, Wattanasin N, Sittig DF, Murphy SN. Health care transformation through collaboration on open-source informatics projects: integrating a medical applications platform, research data repository, and patient summarization. Interact […]
“Better EHR: Usability, Workflow and Cognitive Support in Electronic Health Records” — a book published by the National Center for Cognitive Informatics & Decision Making in Healthcare. One of the biggest complaints we hear from healthcare providers is that the EHR is clunky, difficult to use, and sometimes gets in […]
BACKGROUND: Correlation of data within electronic health records is necessary for implementation of various clinical decision support functions, including patient summarization. A key type of correlation is linking medications to clinical problems; while some databases of problem-medication links are available, they are not robust and depend on problems and medications […]
BACKGROUND: The Strategic Health IT Advanced Research Projects (SHARP) program seeks to conquer well-understood challenges in medical informatics through breakthrough research. Two SHARP centers have found alignment in their methodological needs: (1) members of the National Center for Cognitive Informatics and Decision-making (NCCD) have developed knowledge bases to support problem-oriented […]
OBJECTIVE: Clinical summarization, the process by which relevant patient information is electronically summarized and presented at the point of care, is of increasing importance given the increasing volume of clinical data in electronic health record systems (EHRs). There is a paucity of research on electronic clinical summarization, including the capabilities […]
