From prototype to production: lessons learned from the evolution of an EHR educational portal.
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The use of electronic health records is rapidly increasing. However, the integration of this technology into the education of health professionals and health informaticians has largely remained to be explored. In this paper we describe an approach to providing remote access to electronic health records for use in health professional and health informatics education at the undergraduate and graduate levels. The University of Victoria EHR Educational Portal was designed by the authors to allow for remote Web-based access by students to a range of systems hosted on the portal. Architectural considerations and the evolution of the portal structure from prototype to production system are described. The paper also describes our initial applications of the approach in integrating EHRs into nursing, medical and health informatics educational programs. (+info)
Architecture of a federated query engine for heterogeneous resources.
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The Federated Utah Research and Translational Health e-Repository (FURTHeR) is a Utah statewide informatics platform for the new Center for Clinical and Translational Science at the University of Utah. We have been working on one of FURTHeR's key components, a federated query engine for heterogeneous resources, that we believe has the potential to meet some of the fundamental needs of translational science to access and integrate diverse biomedical data and promote discovery of new knowledge. The architecture of the federated query engine for heterogeneous resources is described and demonstrated. (+info)
A clinical use case to evaluate the i2b2 Hive: predicting asthma exacerbations.
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To evaluate the i2b2 Hive as a tool to query, visualize, and extract clinical data, we selected a use case from the i2b2 airways diseases driving biology project: asthma exacerbations prediction. We analyzed the cohort selection and the extraction of the clinical data used by this asthma exacerbations prediction study. The structured data included the asthma diagnosis, birthdate, age, race, sex, height, weight, and BMI. The smoking status is typically only mentioned in clinical notes, and we evaluated the Natural Language Processing (NLP) application embedded in the i2b2 NLP cell to extract the smoking status from history and physical exam reports.Querying structured data was possible with the i2b2 workbench for about half the clinical data elements. The remaining had to be queried using a commercial database management system client. The automated extraction of the smoking status reached a mean precision of 0.79 and a mean specificity of 0.90. (+info)
Scenario-based user testing to guide consumer health informatics design.
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For consumer health informatics (CHI) interventions to successfully aid laypeople, the interventions must fit and support their health work. This paper outlines a scenario-based human factors assessment of a disease management CHI intervention. Two student users undertook a patient use case and another user followed a nurse use case. Each user completed pre-specified tasks over a ten-day trial, recorded challenges encountered while utilizing the intervention, and logged daily time spent on each task. Results show the scenario-based user testing approach helps effectively and systematically assess potential physical, cognitive, and macroergonomic challenges for end-users, rate the severity of the challenges, and identify mediation strategies for each challenge. In particular, scenario-based user testing aids in identifying challenges that would be difficult, if not impossible, to detect in a laboratory-based usability study. With this information, CHI interventions can be re-designed and/or supplemented, making the intervention more closely fit end-users' work. (+info)
The informatics core of the Alzheimer's Disease Neuroimaging Initiative.
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