Biomedical subjects

Scott P Narus

Publications and source records attributed to Scott P Narus.

3 recordsLinked to original sources

PubMed2003

Development of an information model for solid organ transplantation.

Information required to manage transplant patients and donors is complex, voluminous and requires the reporting and use of one person's medical information within another person's record. One strategy using a vocabulary model (i.e., LOINC codes with *DONOR specified in the system axes) will lead to problems with combinatorial explosion. After evaluating workflow processes, data collection forms, decision support and functional requirements, we designed and implemented an extendable information model to support the process of care following liver transplantation.

Decision Making, Computer-Assisted↗

PubMed2002

Using LOINC to link an EMR to the pertinent paragraph in a structured reference knowledge base.

Intermountain Health Care has integrated the electronic medical record (EMR) with online information resources in order to create easy access to a knowledge base which practicing physicians can use at the point of care. When a user is reviewing problems/diagnosis, medications, or clinical laboratory test results, they can conveniently access a "pertinent paragraph" of reference literature that pertains to the clinical data in the EMR. Using terminology first coined by Cimino1, we call this application the "infobutton." We describe the architectural issues involved in linking our electronic medical record with a structured laboratory knowledge base. The application has been well received as noted by anecdotal comments made by physicians and usage of the application.

Clinical Laboratory Techniques↗

PubMed2002

Using natural language processing to analyze physician modifications to data entry templates.

Efficient data entry by clinicians remains a significant challenge for electronic medical records. Current approaches have largely focused on either structured data entry, which can be limiting in expressive power, or free-text entry, which restricts the use of the data for automated decision support. Text-based templates are a semi-structured data entry method that has been used to assist physicians in manually entering clinical notes, by allowing them to edit predefined example notes. We analyzed changes made to 18,726 sentences from text templates, using a natural language processor. The most common changes were addition or deletion of normal observations, or changes in certainty. We identified common modifications that could be captured in structured form by a graphical user interface.

Medical Records Systems, Computerized↗