Top Papers: Elektronische Patientenakte (2024)

Die 50 meistzitierten Arbeiten zu Elektronische Patientenakte aus dem Jahr 2024 (von 1.867 insgesamt).

Elektronische Patientenakten (EPA) bilden die Grundlage für die Digitalisierung im Gesundheitswesen. Sie ermöglichen den sicheren Austausch von Gesundheitsdaten zwischen Ärzten, Kliniken und Patienten. Die Forschung untersucht sowohl den klinischen Nutzen als auch Herausforderungen bei Datenschutz, Interoperabilität und Nutzerfreundlichkeit.

2022 2023 2024 2025

#	Paper	Zitationen
1	Intelligent Clinical Documentation: Harnessing Generative AI for Patient-Centric Clinical Note Generation Anjanava Biswas, Wrick Talukdar International Journal of Innovative Science and Research Technology (IJISRT)	1.011
2	Biomedical Informatics: Computer Applications in Health Care and Biomedicine —	782
3	Generative AI in healthcare: an implementation science informed translational path on application, integration and governance Sandeep Reddy Implementation Science	359
4	Ambient Artificial Intelligence Scribes to Alleviate the Burden of Clinical Documentation Aaron A. Tierney, Gregg Gayre, Brian Hoberman et al. NEJM Catalyst	294
5	Generative Artificial Intelligence to Transform Inpatient Discharge Summaries to Patient-Friendly Language and Format Jonah Zaretsky, Jeong‐Min Kim, Samuel Baskharoun et al. JAMA Network Open	205
6	A framework for human evaluation of large language models in healthcare derived from literature review Thomas Yu Chow Tam, Sonish Sivarajkumar, Sumit Kapoor et al. npj Digital Medicine	199
7	Artificial Intelligence–Generated Draft Replies to Patient Inbox Messages Patricia García, P. Stephen, Shreya Shah et al. JAMA Network Open	193
8	The impact of nuance DAX ambient listening AI documentation: a cohort study Tyler H. Haberle, Courtney Cleveland, Gregory L. Snow et al. Journal of the American Medical Informatics Association	116
9	Toward a responsible future: recommendations for AI-enabled clinical decision support Steven E. Labkoff, Bilikis Oladimeji, Joseph Kannry et al. Journal of the American Medical Informatics Association	113
10	LLM-based agentic systems in medicine and healthcare Jianing Qiu, Kyle Lam, Guohao Li et al. Nature Machine Intelligence	113
11	OHDSI Standardized Vocabularies—a large-scale centralized reference ontology for international data harmonization Christian Reich, Anna Ostropolets, Patrick Ryan et al. Journal of the American Medical Informatics Association	110
12	The effect of using a large language model to respond to patient messages Shan Chen, Marco Guevara-Vega, Shalini Moningi et al. The Lancet Digital Health	107
13	Efficient healthcare with large language models: optimizing clinical workflow and enhancing patient care Satvik Tripathi, Rithvik Sukumaran, Tessa S. Cook Journal of the American Medical Informatics Association	93
14	The impact of electronic health records on patient care and outcomes: A comprehensive review Adekunle Oyeyemi Adeniyi, Jeremiah Olawumi Arowoogun, Rawlings Chidi et al. World Journal of Advanced Research and Reviews	86
15	Using ChatGPT-4 to Create Structured Medical Notes From Audio Recordings of Physician-Patient Encounters: Comparative Study Annessa Kernberg, Jeffrey A. Gold, Vishnu Mohan Journal of Medical Internet Research	84
16	Ambient artificial intelligence scribes: utilization and impact on documentation time P. Stephen, April S. Liang, Shreya Shah et al. Journal of the American Medical Informatics Association	78
17	AI-Generated Clinical Summaries Require More Than Accuracy Katherine E Goodman, Paul H. Yi, Daniel J. Morgan JAMA	77
18	Evaluating the accuracy of a state-of-the-art large language model for prediction of admissions from the emergency room Benjamin S. Glicksberg, Prem Timsina, Dhaval Patel et al. Journal of the American Medical Informatics Association	73
19	Large language models as assistance for glaucoma surgical cases: a ChatGPT vs. Google Gemini comparison Matteo Mario Carlà, Gloria Gambini, Antonio Baldascino et al. Graefe s Archive for Clinical and Experimental Ophthalmology	69
20	Use of an ambient artificial intelligence tool to improve quality of clinical documentation Jasmine Balloch, Shankar Sridharan, Geralyn Oldham et al. Future Healthcare Journal	68
21	Outpatient reception via collaboration between nurses and a large language model: a randomized controlled trial Peixing Wan, Zigeng Huang, Wenjun Tang et al. Nature Medicine	67
22	Artificial Intelligence and Healthcare Simulation: The Shifting Landscape of Medical Education Allan J. Hamilton Cureus	65
23	Large language models for preventing medication direction errors in online pharmacies Cristóbal Pais, Jianfeng Liu, R. Voigt et al. Nature Medicine	64
24	Impact of Electronic Health Record Use on Cognitive Load and Burnout Among Clinicians: Narrative Review Elham Asgari, Japsimar Kaur, Gani Nuredini et al. JMIR Medical Informatics	64
25	RAG in Health Care: A Novel Framework for Improving Communication and Decision-Making by Addressing LLM Limitations Karen Ng, Karen Ng, Peter Chengming Zhang NEJM AI	62
26	Validation of the Quality Analysis of Medical Artificial Intelligence (QAMAI) tool: a new tool to assess the quality of health information provided by AI platforms Luigi Angelo Vaira, Jérôme R. Lechien, Vincenzo Abbate et al. European Archives of Oto-Rhino-Laryngology	61
27	AI-Powered Clinical Documentation and Clinicians’ Electronic Health Record Experience Tsai‐Ling Liu, Timothy Hetherington, Casey Stephens et al. JAMA Network Open	59
28	Potential applications and implications of large language models in primary care Albert Andrew Family Medicine and Community Health	58
29	Implementing AI in Hospitals to Achieve a Learning Health System: Systematic Review of Current Enablers and Barriers Amir Kamel Rahimi, Oliver Pienaar, Moji Ghadimi et al. Journal of Medical Internet Research	58
30	Health informatics to enhance the healthcare industry's culture: An extensive analysis of its features, contributions, applications and limitations Mohd Javaid, Abid Haleem, Ravi Pratap Singh Informatics and Health	58
31	Enhancing clinical documentation with ambient artificial intelligence: a quality improvement survey assessing clinician perspectives on work burden, burnout, and job satisfaction Michael Albrecht, Denton Shanks, Tina Shah et al. JAMIA Open	57
32	Harnessing the Power of Generative AI for Clinical Summaries: Perspectives From Emergency Physicians Yuval Barak‐Corren, Rebecca Wolf, Ronen Rozenblum et al. Annals of Emergency Medicine	56
33	Artificial intelligence-driven digital scribes in clinical documentation: Pilot study assessing the impact on dermatologist workflow and patient encounters David Y. Cao, Jamie R. Silkey, Michael Decker et al. JAAD International	54
34	Human-Algorithmic Interaction Using a Large Language Model-Augmented Artificial Intelligence Clinical Decision Support System Niroop Rajashekar, Yeo Eun Shin, 円杉浦 et al. —	52
35	Dynamic Patient Triage Optimization in Healthcare Settings Using RNNs for Decision Support Chitra Sabapathy Ranganathan, Chethan Chandra S Basavaraddi, V Saillaja et al. —	50
36	Does AI-Powered Clinical Documentation Enhance Clinician Efficiency? A Longitudinal Study Tsai‐Ling Liu, Timothy Hetherington, Ajay Dharod et al. NEJM AI	49
37	Creating virtual patients using large language models: scalable, global, and low cost David A. Cook Medical Teacher	48
38	Virtual Scribes and Physician Time Spent on Electronic Health Records Lisa S. Rotenstein, Edward R. Melnick, Christine Iannaccone et al. JAMA Network Open	47
39	Shaping the future: perspectives on the Integration of Artificial Intelligence in health profession education: a multi-country survey Wegdan Bani Issa, Ali Shorbagi, Alham Al‐Sharman et al. BMC Medical Education	47
40	The Limits of Clinician Vigilance as an AI Safety Bulwark Julia Adler‐Milstein, Donald A. Redelmeier, Robert M. Wachter JAMA	46
41	Patient Safety and Artificial Intelligence in Clinical Care Raj M. Ratwani, David W. Bates, David C. Classen JAMA Health Forum	44
42	Artificial-Intelligence-Based Clinical Decision Support Systems in Primary Care: A Scoping Review of Current Clinical Implementations Cesar A. Gomez-Cabello, Sahar Borna, Sophia M. Pressman et al. European Journal of Investigation in Health Psychology and Education	44
43	MedAlign: A Clinician-Generated Dataset for Instruction Following with Electronic Medical Records Scott L. Fleming, Alejandro Lozano, William J. Haberkorn et al. Proceedings of the AAAI Conference on Artificial Intelligence	43
44	Impact of a Digital Scribe System on Clinical Documentation Time and Quality: Usability Study Marieke van Buchem, Ilse Kant, L.A. King † et al. JMIR AI	43
45	Using Artificial Intelligence to Improve Primary Care for Patients and Clinicians Urmimala Sarkar, David W. Bates JAMA Internal Medicine	41
46	Barriers and facilitators of health professionals in adopting digital health-related tools for medication appropriateness: A systematic review Daniela A. Rodrigues, María Antonia Fiol-deRoque, Ramona Mateos-Campos et al. Digital Health	40
47	LLM-Based Framework for Administrative Task Automation in Healthcare Senay A. Gebreab, Khaled Salah, Raja Jayaraman et al. —	40
48	Large Language Models for More Efficient Reporting of Hospital Quality Measures Aaron Boussina, Rishivardhan Krishnamoorthy, Kimberly Quintero et al. NEJM AI	39
49	Identifying Facilitators and Barriers to Implementation of AI-Assisted Clinical Decision Support in an Electronic Health Record System Joseph Finkelstein, Aileen Gabriel, Susanna Schmer et al. Journal of Medical Systems	38
50	HL7 Fast Healthcare Interoperability Resources (HL7 FHIR) in digital healthcare ecosystems for chronic disease management: Scoping review Roberta Gazzarata, João Almeida, Lars Lindsköld et al. International Journal of Medical Informatics	38

Top Papers: Elektronische Patientenakte (2024)

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