ArticleAnnals of biomedical engineering2024
Innovating Healthcare: The Role of ChatGPT in Streamlining Hospital Workflow in the Future.
Article in Annals of biomedical engineering, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed.
- Medicine digital transformation: evidence from Chinese physicians on generative artificial intelligence implementation and challenges.Journal of translational medicine · 2026Article
- Artificial Intelligence for Hospital Scheduling: A Simple, Reproducible, and Effective Model.Cureus · 2026Article
- "Having providers who are trained and have empathy is life-saving": Improving primary care communication through thematic analysis with ChatGPT and human expertise.PEC innovation · 2025Article
- Digital Information Ecosystems in Modern Care Coordination and Patient Care Pathways and the Challenges and Opportunities for AI Solutions.Journal of medical Internet research · 2024Article
- Large multimodal models assist in psychiatry disorders prevention and diagnosis of students.World journal of psychiatry · 2024Article
- Perforator Selection with Computed Tomography Angiography for Unilateral Breast Reconstruction: A Clinical Multicentre Analysis.Medicina (Kaunas, Lithuania) · 2024Article
- Implementation of Chatbot Technology in Health Care: Protocol for a Bibliometric Analysis.JMIR research protocols · 2024Article
- Exploring Diagnostic Precision and Triage Proficiency: A Comparative Study of GPT-4 and Bard in Addressing Common Ophthalmic Complaints.Bioengineering (Basel, Switzerland) · 2024Article
- Comparative Analysis of Data Generation Techniques for Breast Cancer Research Using Artificial Intelligence.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2024Article
- Popular large language model chatbots' accuracy, comprehensiveness, and self-awareness in answering ocular symptom queries.iScience · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
ChatGPT is revolutionizing hospital workflows by enhancing the precision and efficiency of tasks that were formerly the exclusive domain of healthcare professionals. Additionally, ChatGPT can aid in administrative duties, including appointment scheduling and billing, which enables healthcare professionals to allocate more time towards patient care. By shouldering some of these responsibilities, ChatGPT has the potential to advance the quality of patient care, streamline departmental efficiency, and lower healthcare costs. Nevertheless, it is crucial to strike a balance between the advantages of ChatGPT and the necessity of human interaction in healthcare to guarantee optimal patient care. While ChatGPT may assume some of the duties of physicians in particular medical domains, it cannot replace human doctors. Tackling the challenges and constraints associated with the integration of ChatGPT into the healthcare system is critical for its successful implementation.
Indexed as
Identifiers
37464178What 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.