ArticleJournal of medical systems2018
Medical Malpractice Trends: Errors in Automated Speech Recognition.
Article in Journal of medical systems, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed.
- A Controlled Single-Speaker Evaluation of Ambient Voice Technologies' Speech-to-Text Function Using Narrated Surgical Case-Reports.Journal of medical systems · 2026Article
- AI-generated clinical summaries: errors and susceptibility to speech and speaker variability.BMJ health & care informatics · 2026Article
- Ethical considerations for clinical adoption of ambient digital scribe technology.Journal of the American Medical Informatics Association : JAMIA · 2026Article
- Implementation of Ambient AI Scribes in Hospitals: Lessons for Healthcare Leadership, Governance, and Change Management.Journal of healthcare leadership · 2026Review
- Evaluating the Quality and Safety of Ambient Digital Scribe Platforms Using Simulated Ambulatory Encounters.Mayo Clinic proceedings. Digital health · 2025Article
- Beyond human ears: navigating the uncharted risks of AI scribes in clinical practice.NPJ digital medicine · 2025Article
- "I don't Think These Devices are Very Culturally Sensitive."-Impact of Automated Speech Recognition Errors on African Americans.Frontiers in artificial intelligence · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
PubMed holds no abstract for this paper.
Indexed as
Identifiers
29987660What OpenQuestion holds
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.