ArticleApplied clinical informatics2012
Impact of a prototype visualization tool for new information in EHR clinical documents.
Article in Applied clinical informatics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it.
- An appraisal of published usability evaluations of electronic health records via systematic review.Journal of the American Medical Informatics Association : JAMIA · 2017Pooled it
- "It Attracts Your Eyes and Brain": Refining Visualizations for Shared Decision-Making with Heart Failure Patients.Applied clinical informatics · 2024Article
- Seeing Your Stories: Visualization for Narrative Medicine.Health data science · 2024Article
- Involving Health Care Professionals in the Development of Electronic Health Records: Scoping Review.JMIR human factors · 2023Article
- Challenges and Opportunities to Improve the Clinician Experience Reviewing Electronic Progress Notes.Applied clinical informatics · 2019Article
- Data Visualizations to Support Health Practitioners' Provision of Personalized Care for Patients With Cancer and Multiple Chronic Conditions: User-Centered Design Study.JMIR human factors · 2018Article
- The Impact of Visualization Dashboards on Quality of Care and Clinician Satisfaction: Integrative Literature Review.JMIR human factors · 2018Review
- Detecting clinically relevant new information in clinical notes across specialties and settings.BMC medical informatics and decision making · 2017Article
- Data extraction from electronic health records (EHRs) for quality measurement of the physical therapy process: comparison between EHR data and survey data.BMC medical informatics and decision making · 2016Article
- A comparative observational study of inpatient clinical note-entry and reading/retrieval styles adopted by physicians.International journal of medical informatics · 2016Observational
- Article
- i2b2t2: Unlocking Visualization for Clinical Research.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2016Article
- Automated methods for the summarization of electronic health records.Journal of the American Medical Informatics Association : JAMIA · 2015Review
- Navigating longitudinal clinical notes with an automated method for detecting new information.Studies in health technology and informatics · 2013Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundEHR clinical document synthesis by clinicians may be time-consuming and error-prone due to the complex organization of narratives, excessive redundancy within documents, and, at times, inadvertent proliferation of data inconsistencies. Development of EHR systems that are easily adaptable to the user's work processes requires research into visualization techniques that can optimize information synthesis at the point of care.
objectiveTo evaluate the effect of a prototype visualization tool for clinically relevant new information on clinicians' synthesis of EHR clinical documents and to understand how the tool may support future designs of clinical document user interfaces.
methodsA mixed methods approach to analyze the impact of the visualization tool was used with a sample of eight medical interns as they synthesized EHR clinical documents to accomplish a set of four pre-formed clinical scenarios using a think-aloud protocol.
resultsDifferences in the missing (unretrieved) patient information (2.3±1.2 [with the visualization tool] vs. 6.8±1.2 [without the visualization tool], p = 0.08) and accurate inferences (1.3±0.3 vs 2.3±0.3, p = 0.09) were not statistically significant but suggest some improvement with the new information visualization tool. Despite the non-significant difference in total times to task completion (43±4 mins vs 36±4 mins, p = 0.35) we observed shorter times for two scenarios with the visualization tool, suggesting that the time-saving benefits may be more evident with certain clinical processes. Other observed effects of the tool include more intuitive navigation between patient details and increased efforts towards methodical synthesis of clinical documents.
conclusionOur study provides some evidence that new information visualization in clinical notes may positively influence synthesis of patient information from EHR clinical documents. Our findings provide groundwork towards a more effective display of EHR clinical documents using advanced visualization applications.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.