The DOI matches its Crossref record; 34 of the 35 references it cites were found in a registry or an index; none of the 18 sources its claims cite is checked for support yet.
Patient-initiated electronic health record amendment requests
Open accessAbstract
BACKGROUND AND OBJECTIVE: Providing patients access to their medical records offers many potential benefits including identification and correction of errors. The process by which patients ask for changes to be made to their records is called an 'amendment request'. Little is known about the nature of such amendment requests and whether they result in modifications to the chart. METHODS: We conducted a qualitative content analysis of all patient-initiated amendment requests that our institution received over a 7-year period. Recurring themes were identified along three analytic dimensions: (1) clinical/documentation area, (2) patient motivation for making the request, and (3) outcome of the request. RESULTS: The dataset consisted of 818 distinct requests submitted by 181 patients. The majority of these requests (n=636, 77.8%) were made to rectify incorrect information and 49.7% of all requests were ultimately approved. In 6.6% of the requests, patients wanted valid information removed from their record, 27.8% of which were approved. Among all of the patients requesting a copy of their chart, only a very small percentage (approximately 0.2%) submitted an amendment request. CONCLUSIONS: The low number of amendment requests may be due to inadequate awareness by patients about how to make changes to their records. To make this approach effective, it will be important to inform patients of their right to view and amend records and about the process for doing so. Increasing patient access to medical records could encourage patient participation in improving the accuracy of medical records; however, caution should be used.
Overview
CoChat Summary
TL;DR
This study qualitatively analyzed all patient-initiated EHR amendment requests received at one academic health system over a 7-year period, finding that most requests sought correction of incorrect information and about half were approved. The authors conclude that patient access may improve record accuracy, but low request rates suggest patients need better information about how to view and amend records.
Key findings
The dataset included 205 amendment request forms from 181 distinct patients, containing 818 distinct requests; 77.8% (n=636) were made to rectify incorrect information, and about half of all requests were ultimately approved (n=406, 49.6%; abstract reports 49.7%). Requests to remove valid information were uncommon (6.6% of requests) and less likely to be approved (27.8%); among 14 requests to remove valid information about drug-seeking behavior, 13 were denied (92.9%). Outpatient clinic notes were the most common document type contested (n=308, 37.7%), followed by inpatient discharge summaries (n=84, 10.3%) and emergency department notes (n=83, 10.1%). Only about 0.2% of patients who requested a copy of their chart submitted an amendment request; among 36 requests based on information viewed through the patient portal or after-visit summary, all but one were approved.
Methods
Qualitative content analysis of all patient-initiated amendment requests received by the University of Michigan Health System from March 2006 through December 2012; the final dataset comprised 205 request forms from 181 patients, yielding 818 distinct requests after separating sub-requests requiring separate review. Coding followed a grounded theory approach with iterative theme identification across three analytic dimensions: clinical/documentation area, patient motivation, and outcome of the request; ambiguous cases were reviewed with Health Information Management staff, and clinician comments on denied requests were also analyzed. Statistical analyses used R V.2.15.3, with test of proportions for racial proportions and unpaired t tests for mean ages.
Limitations
The paper states that the work was conducted at a single institution, data were originally collected for operational tracking rather than prospectively for research, pre-2008 requests were not systematically archived (likely underestimating earlier request counts), unofficial clinician–patient amendment requests were not captured, and the study did not determine clinical significance/urgency or whether clinicians perceived requested changes as useful. The paper also notes it could not determine the proportion of patients who found errors but did not seek an amendment. Evident from the text: the retrospective, single-site design and reliance on archived operational records limit generalizability and may miss amendment activity outside the formal DHIM process.
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Verification
Claims the paper makes
0 Valid · 0 Not valid · 12 Not checked · 47 Own results and interpretations
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“about half of the requests were denied”
§ Patient-initiated electronic health record amendment requests > Figure 4
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“all but one of the 36 requests to change information that patients viewed through either the portal or AVS were eventually approved”
§ Patient-initiated electronic health record amendment requests > DISCUSSION
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“49.7% of all requests were ultimately approved.”
- Also stated in: § Qualitative content analysis · plain
“about half of all requests were ultimately approved by clinicians (n=406, 49.6%)”
§ Patient-initiated electronic health record amendment requests > Abstract
plainn = 406- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Also stated in: § Qualitative content analysis · plain
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“we did find that in about 16% of these responses, clinicians used the feedback form as an opportunity to explain to the patient the rationale for the wording in the documentation or additional context about the clinical situation”
§ Patient-initiated electronic health record amendment requests > Figure 4
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The majority of these requests (n=636, 77.8%) were made to rectify incorrect information”
- Also stated in: § Qualitative content analysis · plain
“The majority of the requests were due to incorrect information (n=636, 77.8%)”
§ Patient-initiated electronic health record amendment requests > Abstract
plainn = 636- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Also stated in: § Qualitative content analysis · plain
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Citations
Cites
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Inviting Patients to Read Their Doctors' Notes: A Quasi-experimental Study and a Look Ahead
Delbanco, T., Walker, J., Bell, S. K., Darer, J. D., Elmore, J. G., Farag, N., Feldman, H. J., Mejilla, R., Ngo, L., Ralston, J. D., et al. (2012) · Annals of Internal Medicine · doi:10.7326/0003-4819-157-7-201210020-00002 · Cited by 685
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Hassol, A., Walker, J. M., Kidder, D., Rokita, K., Young, D., Pierdon, S., Deitz, D., Kuck, S., & Ortiz, E. (2004) · Journal of the American Medical Informatics Association · doi:10.1197/jamia.m1593 · Cited by 430
HIPAA regulations - a new era of medical-record privacy?
Annas, G. J. (2003) · New England Journal of Medicine · doi:10.1056/nejmlim035027 · Cited by 402
Early Experiences with Personal Health Records
Halamka, J. D., Mandl, K. D., & Tang, P. C. (2008) · Journal of the American Medical Informatics Association · doi:10.1197/jamia.m2562 · Cited by 355
The Effects of Promoting Patient Access to Medical Records: A Review
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Cited by
An overview of clinical decision support systems: Benefits, risks, and strategies for success
Sutton, R. T., Pincock, D., Baumgart, D. C., Sadowski, D. C., Fedorak, R. N., & Kroeker, K. I. (2020) · npj Digital Medicine · doi:10.1038/s41746-020-0221-y · Cited by 3,019
Electronic Health Records: Then, Now, and in the Future
Evans, R. S. (2016) · Yearbook of Medical Informatics · doi:10.15265/iys-2016-s006 · Cited by 768
Kruse, C. S., Bolton, K., & Freriks, G. (2015) · Journal of Medical Internet Research · doi:10.2196/jmir.3171 · Cited by 379
Exploring patients’ perceptions of accessing electronic health records: Innovation in healthcare
Wass, S., Vimarlund, V., & Ros, A. (2017) · Health Informatics Journal · doi:10.1177/1460458217704258 · Cited by 37
Patients Managing Their Medical Data in Personal Electronic Health Records: Scoping Review
Damen, D., Schoonman, G. G., Maat, B., Habibović, M., Krahmer, E., & Pauws, S. C. (2022) · Journal of Medical Internet Research · doi:10.2196/37783 · Cited by 30
Metadata
- Authors
- Hanauer, D. A., Preib, R., Zheng, K., & Choi, S. W.
- Affiliations
- University of Michigan (US)
- Corresponding author
- Hanauer, David A
- Venue
- Journal of the American Medical Informatics Association
- Publisher
- Oxford University Press (OUP)
- Published
- 2014-11
- Volume
- 21
- Issue
- 6
- Pages
- 992-1000
- ISSN
- 1067-5027 (ISSN-L)
- 1527-974X
- PMC
- PMC4215043
- OpenAlex
- W2267573626
- Cited by
- 30
- References
- 35
- Citations by year
- 2026: 2 · 2025: 2 · 2024: 2 · 2022: 4 · 2021: 2 · 2020: 2 · 2019: 2 · 2018: 3 · 2017: 4 · 2016: 2 · 2015: 5
- FWCI
- 4.43
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of the American Medical Informatics Association (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (publishedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- University of Michigan
- National Institutes of Health (UL1TR000433)
- National Center for Advancing Translational Sciences
- Topics
- Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
- Health Sciences › Health Professions › Health Information Management › Medical Coding and Health Information
- Health Sciences › Nursing › Research and Theory › Nursing Diagnosis and Documentation
- Keywords
- electronic health records, patient access to medical records, medical record accuracy, patient participation, health information disclosure
- MeSH terms
- Academic Medical Centers, Humans, Michigan, Patient Participation, Organizational Case Studies, Patient Access to Records, Electronic Health Records
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Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Patient-initiated electronic health record amendment requests. https://app.cochat.ai/papers/10.1136/amiajnl-2013-002574
- The paper
- Hanauer, D. A., Preib, R., Zheng, K., & Choi, S. W. (2014). Patient-initiated electronic health record amendment requests. Journal of the American Medical Informatics Association. https://doi.org/10.1136/amiajnl-2013-002574
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.