ArticleJAMIA open2021
A patient-centered digital scribe for automatic medical documentation.
Article in JAMIA open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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
21 citing papers in PubMed.
- EGPRN primary care research at a crossroads advancing research on interprofessional collaboration and on integrated, equitable and complex care. An EGPRN Keynote Paper from the Autumn 2025 Plovdiv Conference.The European journal of general practice · 2026Article
- The Use of Ambient Dictation Artificial Intelligence in Clinical Spaces in Surgery: A Scoping Review.World journal of otorhinolaryngology - head and neck surgery · 2026Review
- A Review on Artificial Intelligence as a Solution to Burnout in Interventional Radiology.Cardiovascular and interventional radiology · 2026Review
- Article
- Exploring the potential of artificial intelligence and machine learning in orthopaedic surgery.Bulletin of the Hospital for Joint Disease (2013) · 2026Review
- From Clinical Encounter to Draft Documentation: A Mechanistic Narrative Review of Ambient Scribe Technology.Cureus · 2026Review
- Time Savings Through an AI Speech Assistant for Nursing Documentation: Pre-Post Time-Motion Study in German Long-Term Care.Journal of medical Internet research · 2026Article
- The Current State of Digital Scribes in Primary Care: A Scoping Review.Journal of medical systems · 2026Article
- The pediatric AI readiness framework: bridging evidence to practice in pediatric artificial intelligence.Frontiers in artificial intelligence · 2026Article
- Review
- Effect of a generative artificial intelligence digital scribe on pediatric provider documentation time, cognitive burden, and burnout.JAMIA open · 2025Article
- The Impact of AI Scribes on Streamlining Clinical Documentation: A Systematic Review.Healthcare (Basel, Switzerland) · 2025Review
- [Research progress in application of intelligent remote follow-up mode in hip and knee arthroplasty].Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery · 2025Review
- A Pipeline for Automating Emergency Medicine Documentation Using LLMs with Retrieval-Augmented Text Generation.Applied artificial intelligence : AAI · 2025Article
- Balancing act: the complex role of artificial intelligence in addressing burnout and healthcare workforce dynamics.BMJ health & care informatics · 2024Article
- Evaluation of a Digital Scribe: Conversation Summarization for Emergency Department Consultation Calls.Applied clinical informatics · 2024Article
- Current and Potential Applications of Ambient Artificial Intelligence.Mayo Clinic proceedings. Digital health · 2023Review
- Evidence synthesis, digital scribes, and translational challenges for artificial intelligence in healthcare.Cell reports. Medicine · 2022Review
- A Systematic Approach to Configuring MetaMap for Optimal Performance.Methods of information in medicine · 2022Article
- Natural Language Processing: from Bedside to Everywhere.Yearbook of medical informatics · 2022Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
objectiveWe developed a digital scribe for automatic medical documentation by utilizing elements of patient-centered communication. Excessive time spent on medical documentation may contribute to physician burnout. Patient-centered communication may improve patient satisfaction, reduce malpractice rates, and decrease diagnostic testing expenses. We demonstrate that patient-centered communication may allow providers to simultaneously talk to patients and efficiently document relevant information. MATERIALS AND
methodsWe utilized two elements of patient-centered communication to document patient history. One element was summarizing, which involved providers recapping information to confirm an accurate understanding of the patient. Another element was signposting, which involved providers using transition questions and statements to guide the conversation. We also utilized text classification to allow providers to simultaneously perform and document the physical exam. We conducted a proof-of-concept study by simulating patient encounters with two medical students.
resultsFor history sections, the digital scribe was about 2.7 times faster than both typing and dictation. For physical exam sections, the digital scribe was about 2.17 times faster than typing and about 3.12 times faster than dictation. Results also suggested that providers required minimal training to use the digital scribe, and that they improved at using the system to document history sections.
conclusionCompared to typing and dictation, a patient-centered digital scribe may facilitate effective patient communication. It may also be more reliable compared to previous approaches that solely use machine learning. We conclude that a patient-centered digital scribe may be an effective tool for automatic medical documentation.
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Registered trials
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.