OpenAlex · Aktualisierung stündlich · Letzte Aktualisierung: 24.04.2026, 14:34

Top Papers: Elektronische Patientenakte (2024)

Die 50 meistzitierten Arbeiten zu Elektronische Patientenakte aus dem Jahr 2024 (von 1.907 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.

#PaperZitationen
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)

1.014
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

397
4

Ambient Artificial Intelligence Scribes to Alleviate the Burden of Clinical Documentation

Aaron A. Tierney, Gregg Gayre, Brian Hoberman et al.

NEJM Catalyst

315
5

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

240
6

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

218
7

Artificial Intelligence–Generated Draft Replies to Patient Inbox Messages

Patricia García, P. Stephen, Shreya Shah et al.

JAMA Network Open

204
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

126
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

125
10

LLM-based agentic systems in medicine and healthcare

Jianing Qiu, Kyle Lam, Guohao Li et al.

Nature Machine Intelligence

124
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

119
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

115
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

101
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

96
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

91
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

91
17

AI-Generated Clinical Summaries Require More Than Accuracy

Katherine E Goodman, Paul H. Yi, Daniel J. Morgan

JAMA

85
18

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

80
19

Use of an ambient artificial intelligence tool to improve quality of clinical documentation

Jasmine Balloch, Shankar Sridharan, Geralyn Oldham et al.

Future Healthcare Journal

77
20

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

76
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

73
22

Artificial Intelligence and Healthcare Simulation: The Shifting Landscape of Medical Education

Allan J. Hamilton

Cureus

72
23

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
24

Large language models for preventing medication direction errors in online pharmacies

Cristóbal Pais, Jianfeng Liu, R. Voigt et al.

Nature Medicine

68
25

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

68
26

RAG in Health Care: A Novel Framework for Improving Communication and Decision-Making by Addressing LLM Limitations

Karen Ng, Izuki Matsuba, Peter Chengming Zhang

NEJM AI

67
27

AI-Powered Clinical Documentation and Clinicians’ Electronic Health Record Experience

Tsai‐Ling Liu, Timothy Hetherington, Casey Stephens et al.

JAMA Network Open

66
28

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

65
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

62
30

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

62
31

Potential applications and implications of large language models in primary care

Albert Andrew

Family Medicine and Community Health

61
32

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.

61
33

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

59
34

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

55
35

Does AI-Powered Clinical Documentation Enhance Clinician Efficiency? A Longitudinal Study

Tsai‐Ling Liu, Timothy Hetherington, Ajay Dharod et al.

NEJM AI

53
36

Creating virtual patients using large language models: scalable, global, and low cost

David A. Cook

Medical Teacher

53
37

Virtual Scribes and Physician Time Spent on Electronic Health Records

Lisa S. Rotenstein, Edward R. Melnick, Christine Iannaccone et al.

JAMA Network Open

52
38

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

51
39

Dynamic Patient Triage Optimization in Healthcare Settings Using RNNs for Decision Support

Chitra Sabapathy Ranganathan, Chethan Chandra S Basavaraddi, V Saillaja et al.

50
40

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

49
41

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

46
42

Transforming Health Care With Artificial Intelligence: Redefining Medical Documentation

Archana Reddy Bongurala, Dhaval Save, Ankit Virmani et al.

Mayo Clinic Proceedings Digital Health

46
43

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

46
44

The Limits of Clinician Vigilance as an AI Safety Bulwark

Julia Adler‐Milstein, Donald A. Redelmeier, Robert M. Wachter

JAMA

46
45

Patient Safety and Artificial Intelligence in Clinical Care

Raj M. Ratwani, David W. Bates, David C. Classen

JAMA Health Forum

45
46

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

45
47

Using Artificial Intelligence to Improve Primary Care for Patients and Clinicians

Urmimala Sarkar, David W. Bates

JAMA Internal Medicine

44
48

Large Language Models for More Efficient Reporting of Hospital Quality Measures

Aaron Boussina, Rishivardhan Krishnamoorthy, Kimberly Quintero et al.

NEJM AI

44
49

Exploring the role of professional identity in the implementation of clinical decision support systems—a narrative review

Sophia Ackerhans, Thomas V. Huynh, Carsten Kaiser et al.

Implementation Science

43
50

The use of artificial intelligence to optimize medication alerts generated by clinical decision support systems: a scoping review

Jetske Graafsma, Rachel M. Murphy, E.M.W. van de Garde et al.

Journal of the American Medical Informatics Association

43

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