Journal of the American Medical Informatics Association

Papers
(The H4-Index of Journal of the American Medical Informatics Association is 23. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-05-01 to 2024-05-01.)
ArticleCitations
Using AI-generated suggestions from ChatGPT to optimize clinical decision support103
Ensuring full participation of people with disabilities in an era of telehealth79
Implementation of a digital chatbot to screen health system employees during the COVID-19 pandemic76
TREC-COVID: rationale and structure of an information retrieval shared task for COVID-1961
Putting the social back into sociotechnical: Case studies of co-design in digital health60
Assessing the impact of the COVID-19 pandemic on clinician ambulatory electronic health record use60
Use of electronic health records to support a public health response to the COVID-19 pandemic in the United States: a perspective from 15 academic medical centers54
Are specific elements of electronic health record use associated with clinician burnout more than others?53
Patient interest in and barriers to telemedicine video visits in a multilingual urban safety-net system48
Rapid development of visualization dashboards to enhance situation awareness of COVID-19 telehealth initiatives at a multihospital healthcare system47
Potential limitations in COVID-19 machine learning due to data source variability: A case study in the nCov2019 dataset44
Risk prediction of delirium in hospitalized patients using machine learning: An implementation and prospective evaluation study42
Clinical evaluation and diagnostic yield following evaluation of abnormal pulse detected using Apple Watch41
Effects of technology-supported exercise programs on the knee pain, physical function, and quality of life of individuals with knee osteoarthritis and/or chronic knee pain: A systematic review and met41
Predicting complications of diabetes mellitus using advanced machine learning algorithms37
Sepsis prediction, early detection, and identification using clinical text for machine learning: a systematic review33
Rapid design and deployment of intensive outpatient, group-based psychiatric care using telehealth during coronavirus disease 2019 (COVID-19)33
Centers for Disease Control and Prevention 2019 novel coronavirus disease (COVID-19) information management: addressing national health-care and public health needs for standardized data definitions a28
UMLS users and uses: a current overview27
Generating sequential electronic health records using dual adversarial autoencoder27
An evaluation of telehealth expansion in U.S. nursing homes26
Machine learning approaches for electronic health records phenotyping: a methodical review25
Use of unstructured text in prognostic clinical prediction models: a systematic review25
Tasks as needs: reframing the paradigm of clinical natural language processing research for real-world decision support23
0.066011905670166