Evidence map›Paper›PMID 34282602›Full record

ArticleMethods of information in medicine2021

Why Is the Electronic Health Record So Challenging for Research and Clinical Care?

John H Holmes, James Beinlich, Mary R Boland, Kathryn H Bowles, Yong Chen, Tessa S Cook, George Demiris, Michael Draugelis, Laura Fluharty, Peter E Gabriel and 15 more

Abstract read
In one paragraph

Article in Methods of information in medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
69citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

69 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Observational
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  19. Multinational Pediatric Critical Care Research in the Arab Gulf Region across 35 Pediatric Intensive Care Units: Ethical Approval Timelines and Lessons Learned.Medical principles and practice : international journal of the Kuwait University, Health Science Centre · 2026
    Article
  20. Article

9 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

25 authors.

John H HolmesDepartment of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States.
James BeinlichInformation Technology Entity Services and Corporate Information Services, University of Pennsylvania Health System, Philadelphia, Pennsylvania, United States.
Mary R BolandDepartment of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States.
Kathryn H BowlesDepartment of Biobehavioral Health Sciences, University of Pennsylvania School of Nursing, Philadelphia, Pennsylvania, United States.
Yong ChenDepartment of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States.
Tessa S CookDepartment of Radiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States.
George DemirisDepartment of Biobehavioral Health Sciences, University of Pennsylvania School of Nursing, Philadelphia, Pennsylvania, United States.
Michael DraugelisDepartment of Predictive Health Care, University of Pennsylvania Health System, Philadelphia, Pennsylvania, United States.
Laura FluhartyClinical Research Operations, University of Pennsylvania Health System, Philadelphia, Pennsylvania, United States.
Peter E GabrielDepartment of Radiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States.
Robert GrundmeierDepartment of Pediatrics, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, United States.
C William HansonDepartment of Anesthesiology and Critical Care, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States.
Daniel S HermanDepartment of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine Philadelphia, Pennsylvania, United States.
Blanca E HimesDepartment of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States.
Rebecca A HubbardDepartment of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States.
Charles E KahnDepartment of Radiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States.
Dokyoon KimDepartment of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States.
Ross KoppelDepartment of Sociology, University of Pennsylvania, Philadelphia, Pennsylvania, United States.
Qi LongDepartment of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States.
Nebojsa MirkovicDepartment of Research Analytics, University of Pennsylvania Health System, Philadelphia, Pennsylvania, United States.
Jeffrey S MorrisDepartment of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States.
Danielle L MoweryDepartment of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States.
Marylyn D RitchieDepartment of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States.
Ryan UrbanowiczDepartment of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States.
Jason H MooreDepartment of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States.

Funding

UNIVERSITY OF PENNSYLVANIA CAN CTR SUPPORT GRANTP30CA016520 · NCI · UNIVERSITY OF PENNSYLVANIA · PI Robert H. Vonderheide · 1985 to 2026
$222.3M
Phenotypic Diversity in COVID-19UL1TR001878 · NCATS · UNIVERSITY OF PENNSYLVANIA · PI FITZGERALD, GARRET A · 2016 to 2025
$102.4M
Advancing Analysis of Multi-omics Data in Alzheimer's Disease ResearchRF1AG063481 · NIA · UNIVERSITY OF PENNSYLVANIA · PI LONG, QI · 2019 to 2020
$3.8M
Privacy-preserving methods and tools for handling missing data in distributed health data networksR01GM124111 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI LONG, QI · 2017 to 2020
$2.3M
NCATS NIH HHS UL1 TR001878NIA NIH HHS RF1 AG063481NIGMS NIH HHS R01 GM124111UL1TR001878 National Center for Advancing Translational Sciences of the National Institutes of Health
6 · The paper itself

Abstract

backgroundThe electronic health record (EHR) has become increasingly ubiquitous. At the same time, health professionals have been turning to this resource for access to data that is needed for the delivery of health care and for clinical research. There is little doubt that the EHR has made both of these functions easier than earlier days when we relied on paper-based clinical records. Coupled with modern database and data warehouse systems, high-speed networks, and the ability to share clinical data with others are large number of challenges that arguably limit the optimal use of the EHR

objectivesOur goal was to provide an exhaustive reference for those who use the EHR in clinical and research contexts, but also for health information systems professionals as they design, implement, and maintain EHR systems.

methodsThis study includes a panel of 24 biomedical informatics researchers, information technology professionals, and clinicians, all of whom have extensive experience in design, implementation, and maintenance of EHR systems, or in using the EHR as clinicians or researchers. All members of the panel are affiliated with Penn Medicine at the University of Pennsylvania and have experience with a variety of different EHR platforms and systems and how they have evolved over time.

resultsEach of the authors has shared their knowledge and experience in using the EHR in a suite of 20 short essays, each representing a specific challenge and classified according to a functional hierarchy of interlocking facets such as usability and usefulness, data quality, standards, governance, data integration, clinical care, and clinical research.

conclusionWe provide here a set of perspectives on the challenges posed by the EHR to clinical and research users.

Indexed as

Electronic Health RecordsHealth Information SystemsDelivery of Health CareHealth PersonnelHumans

Identifiers

PMID34282602
PMCPMC9295893

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.