ArticleInternational journal of medical informatics2013
Detection and characterization of usability problems in structured data entry interfaces in dentistry.
Article in International journal of medical informatics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.
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Who cites it
30 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Development and Validation of SafeHIT: An Instrument to Assess the Self-Reported Safe Use of Health Information Technology.Applied clinical informatics · 2023Pooled it
- Evaluating and improving the usability of a mHealth platform to assess postoperative dental pain.JAMIA open · 2024Article
- Article
- The relationship between electronic health records user interface features and data quality of patient clinical information: an integrative review.Journal of the American Medical Informatics Association : JAMIA · 2023Review
- Current state of dental informatics in the field of health information systems: a scoping review.BMC oral health · 2022Article
- What Oncologists Want: Identifying Challenges and Preferences on Diagnosis Data Entry to Reduce EHR-Induced Burden and Improve Clinical Data Quality.JCO clinical cancer informatics · 2021Article
- How to interact with medical terminologies? Formative usability evaluations comparing three approaches for supporting the use of MedDRA by pharmacovigilance specialists.BMC medical informatics and decision making · 2020Article
- Recording of diagnoses in public primary oral health care in a retrospective longitudinal observational study in a Finnish town: Underrepresentation of periodontitis diagnoses.Clinical and experimental dental research · 2020Observational
- Workflow Differences Affect Data Accuracy in Oncologic EHRs: A First Step Toward Detangling the Diagnosis Data Babel.JCO clinical cancer informatics · 2020Article
- Factors Influencing Problem List Use in Electronic Health Records-Application of the Unified Theory of Acceptance and Use of Technology.Applied clinical informatics · 2020Article
- Catch Me if You Can: Acute Events Hidden in Structured Chronic Disease Diagnosis Descriptions Show Detectable Recording Patterns in EHR.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2020Article
- A tale of three subspecialties: Diagnosis recording patterns are internally consistent but Specialty-Dependent.JAMIA open · 2019Article
- Lost in Translation: Diagnosis Records Show More Inaccuracies After Biopsy in Oncology Care EHRs.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2019Article
- Update on Electronic Dental Record and Clinical Computing Adoption Among Dental Practices in the United States.Clinical medicine & research · 2017Article
- Goldmann V Standard Automated Perimetry Underestimates Central Visual Sensitivity in Glaucomatous Eyes with Increased Axial Length.Translational vision science & technology · 2017Article
- Usability Evaluation of Electronic Health Record System around Clinical Notes Usage-An Ethnographic Study.Applied clinical informatics · 2017Article
- Evaluating quality of dental care among patients with diabetes: Adaptation and testing of a dental quality measure in electronic health records.Journal of the American Dental Association (1939) · 2017Article
- The association between structure-function relationships and cognitive impairment in elderly glaucoma patients.Scientific reports · 2017Article
- Dental Providers' Perspectives on Diagnosis-Driven Dentistry: Strategies to Enhance Adoption of Dental Diagnostic Terminology.International journal of environmental research and public health · 2017Article
- Adoption of dental innovations: The case of a standardized dental diagnostic terminology.Journal of the American Dental Association (1939) · 2017Article
Corrections and comments
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Authors and funding
13 authors.
Funding
Abstract
backgroundPoor usability is one of the major barriers for optimally using electronic health records (EHRs). Dentists are increasingly adopting EHRs, and are using structured data entry interfaces to enter data such that the data can be easily retrieved and exchanged. Until recently, dentists have lacked a standardized terminology to consistently represent oral health diagnoses.
objectivesIn this study we evaluated the usability of a widely used EHR interface that allow the entry of diagnostic terms, using multi-faceted methods to identify problems and work with the vendor to correct them using an iterative design method.
methodsFieldwork was undertaken at two clinical sites, and dental providers as subjects participated in user testing (n=32), interviews (n=36) and observations (n=24).
resultsUser testing revealed that only 22-41% of users were able to successfully complete a simple task of entering one diagnosis, while no user was able to complete a more complex task. We identified and characterized 24 high-level usability problems reducing efficiency and causing user errors. Interface-related problems included unexpected approaches for displaying diagnosis, lack of visibility, and inconsistent use of UI widgets. Terminology related issues included missing and mis-categorized concepts. Work domain issues involved both absent and superfluous functions. In collaboration with the vendor, each usability problem was prioritized and a timeline set to resolve the concerns. DISCUSSION: Mixed methods evaluations identified a number of critical usability issues relating to the user interface, underlying terminology of the work domain. The usability challenges were found to prevent most users from successfully completing the tasks. Our further work we will determine if changes to the interface, terminology and work domain do result in improved usability.
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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.