ArticleJournal of the American Medical Informatics Association : JAMIA2014
Comparing the information seeking strategies of residents, nurse practitioners, and physician assistants in critical care settings.
Article in Journal of the American Medical Informatics Association : JAMIA, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Opportunities to use electronic health record audit logs to improve cancer care.Cancer medicine · 2022Review
- A simple electronic medical record system designed for research.JAMIA open · 2021Article
- Graphical Presentations of Clinical Data in a Learning Electronic Medical Record.Applied clinical informatics · 2020Article
- Assessment of Electronic Health Record Search Patterns and Practices by Practitioners in a Large Integrated Health Care System.JAMA network open · 2020Article
- Impact of Patient Census and Admission Mortality on Pediatric Intensive Care Unit Attending Electronic Health Record Activity: A Preliminary Study.Applied clinical informatics · 2020Article
- Why Residency Programs Should Not Ignore the Electronic Heath Record after Adoption.Perspectives in health information managemen · 2019Article
- Use of a Novel, Electronic Health Record-Centered, Interprofessional ICU Rounding Simulation to Understand Latent Safety Issues.Critical care medicine · 2018Article
- Using Machine Learning to Predict the Information Seeking Behavior of Clinicians Using an Electronic Medical Record System.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2018Article
- Efficiency of Emergency Physicians: Insights from an Observational Study using EHR Log Files.Applied clinical informatics · 2018Article
- Health IT Usability Focus Section: Data Use and Navigation Patterns among Medical ICU Clinicians during Electronic Chart Review.Applied clinical informatics · 2017Article
- Impact of Structured Rounding Tools on Time Allocation During Multidisciplinary Rounds: An Observational Study.JMIR human factors · 2016Article
- Toward Designing Information Display to Support Critical Care. A Qualitative Contextual Evaluation and Visioning Effort.Applied clinical informatics · 2016Article
- Point-of-Care Knowledge-Based Resource Needs of Clinicians: A Survey from a Large Academic Medical Center.Applied clinical informatics · 2015Article
- Human factors and health information technology: current challenges and future directions.Yearbook of medical informatics · 2014Review
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveCritical care environments are information-intensive environments where effective decisions are predicated on successfully finding and using the 'right information at the right time'. We characterize the differences in processes and strategies of information seeking between residents, nurse practitioners (NPs), and physician assistants (PAs).
methodWe conducted an exploratory study in the cardiothoracic intensive care units of two large academic hospitals within the same healthcare system. Clinicians (residents (n=5), NPs (n=5), and PAs (n=5)) were shadowed as they gathered information on patients in preparation for clinical rounds. Information seeking activities on 96 patients were collected over a period of 3 months (NRes=37, NNP=24, NPA=35 patients). The sources of information and time spent gathering the information at each source were recorded. Exploratory data analysis using probabilistic sequential approaches was used to analyze the data.
resultsResidents predominantly used a patient-based information seeking strategy in which all relevant information was aggregated for one patient at a time. In contrast, NPs and PAs primarily utilized a source-based information seeking strategy in which similar (or equivalent) information was aggregated for multiple patients at a time (eg, X-rays for all patients).
conclusionsThe differences in the information seeking strategies are potentially a result of the differences in clinical training, strategies of managing cognitive load, and the nature of the use of available health IT tools. Further research is needed to investigate the effects of these differences on clinical and process outcomes.
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