ArticleApplied clinical informatics2020
Defining an Essential Clinical Dataset for Admission Patient History to Reduce Nursing Documentation Burden.
Article in Applied clinical informatics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.
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Who cites it
18 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Impact of artificial intelligence on electronic health record-related burnouts among healthcare professionals: systematic review.Frontiers in public health · 2025Pooled it
- Measuring Documentation Burden in Healthcare.Journal of general internal medicine · 2024Pooled it
- Assessment of Electronic Clinical Monitoring Systems in the Pediatric Intensive Care Unit: Prospective Concordance Study.JMIR formative research · 2026Article
- Exploring nurses' documentation prioritization strategies to alleviate EHR documentation burden: a phenomenological study.JAMIA open · 2026Article
- Hospital Digital Transformation, Nursing Data Burden, and Leadership and Governance Capacity: A Critical Narrative Review.Journal of nursing management · 2026Review
- Implications of pharmacy students' involvement in collecting the best possible medication histories in hospital settings: A scoping review.American journal of health-system pharmacy : AJHP : official journal of the American Society of Health-System Pharmacists · 2025Article
- Information Prioritization and Reading Patterns in Electronic Health Record Nursing Summaries: An Eye-Tracking Case Study.Applied clinical informatics · 2025Article
- Choosing between Patient Care Needs and Accurate Data Capture: Exploring Nurses' Experiences of Excessive Documentation Burden.Applied clinical informatics · 2025Article
- Usability Challenges in Electronic Health Records: Impact on Documentation Burden and Clinical Workflow: A Scoping Review.Journal of evaluation in clinical practice · 2025Article
- Advancing AI Data Ethics in Nursing: Future Directions for Nursing Practice, Research, and Education.JMIR nursing · 2024Article
- Toward Alleviating Clinician Documentation Burden: A Scoping Review of Burden Reduction Efforts.Applied clinical informatics · 2024Article
- Identifying Reuse and Redundancies in Respiratory Flowsheet Documentation: Implications for Clinician Documentation Burden.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2023Article
- Using event logs to observe interactions with electronic health records: an updated scoping review shows increasing use of vendor-derived measures.Journal of the American Medical Informatics Association : JAMIA · 2022Article
- Documentation Burden in Nursing and Its Role in Clinician Burnout Syndrome.Applied clinical informatics · 2022Article
- Adopting an American framework to optimize nursing admission documentation in an Australian health organization.JAMIA open · 2022Article
- Implementing Best Practices to Redesign Workflow and Optimize Nursing Documentation in the Electronic Health Record.Applied clinical informatics · 2022Article
- Article
- The Effect of Electronic Health Record Burden on Pediatricians' Work-Life Balance and Career Satisfaction.Applied clinical informatics · 2021Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDocumentation burden, defined as the need to complete unnecessary documentation elements in the electronic health record (EHR), is significant for nurses and contributes to decreased time with patients as well as burnout. Burden increases when new documentation elements are added, but unnecessary elements are not systematically identified and removed.
objectivesReducing the burden of nursing documentation during the inpatient admission process was a key objective for a group of nurse experts who collaboratively identified essential clinical data elements to be documented by nurses in the EHR.
methodsTwelve health care organizations used a data-driven process to evaluate inpatient admission assessment data elements to identify which elements were consistently deemed essential to patient care. Processes used for the twelve organizations to reach consensus included identifying: (1) data elements that were truly essential, (2) which data elements were explicitly required during the admission process, and (3) data elements that must be documented by a registered nurse (RN).
resultThe result was an Admission Patient History Essential Clinical Dataset (APH ECD) that reduced the amount of admission documentation content by an average of 48.5%. Early adopters experienced an average reduction of more than two minutes per admission history documentation session and an average reduction in clicks of more than 30%.
conclusionThe creation of the essential clinical dataset is an example of combining evidence from nursing practice within the EHR with a set of predefined guiding principles to decrease documentation burden for nurses. Establishing essential documentation components for the adult admission history and intake process ensures the efficient use of bedside nurses' time by collecting the right (necessary) information collected by the right person at the right time during the patient's hospital stay. Determining essential elements also provides a framework for mapping components to national standards to facilitate shareable and comparable nursing data.
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