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Methods of Documentation VII: EMR01:30

Methods of Documentation VII: EMR

Electronic Medical Records (EMRs) primarily center around electronically documenting patients' health information within a single healthcare organization or practice. They contain essential clinical data related to a patient's medical history, diagnoses, medications, treatment plans, lab results, and other pertinent information relevant to the specific encounter or episode of care. EMRs are designed to streamline documentation and workflow processes within individual healthcare settings,...
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Understanding Patient-Reported Offenses in Electronic Health Records: Cross-Sectional Mixed Methods Survey.

Saija Simola1, Sari Kujala1, Åsa Cajander2

  • 1Department of Computer Science, Aalto University, Konemiehentie 2, Espoo, 02150, Finland, 358 509118203.

Journal of Medical Internet Research
|May 14, 2026
PubMed
Summary
This summary is machine-generated.

Patients accessing electronic health records (EHRs) may be offended by content, especially those with mental health or cancer diagnoses. Healthcare professionals need guidelines for neutral EHR writing to improve patient-provider relationships.

Keywords:
electronic health recordnational surveyoffensiveonline record accessopen notespatient experiencespatient portalpatient-accessible electronic health recordsuser groups

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Area of Science:

  • Health Informatics
  • Patient Experience
  • Clinical Communication

Background:

  • Patient access to electronic health records (EHRs) enhances engagement but can lead to negative experiences.
  • Healthcare professionals require guidance on writing EHRs to avoid offending patients, particularly those with mental health conditions.
  • Previous research has often focused on specific patient groups, limiting understanding of cross-group differences in EHR-related offense.

Purpose of the Study:

  • To determine if specific patient groups are more likely to be offended by EHR content.
  • To identify information within EHRs that patients perceive as offensive.
  • To compare patient offense across diverse groups using a mixed-methods approach.

Main Methods:

  • A cross-sectional, mixed-methods survey was administered via the Finnish national patient portal.
  • 4681 respondents were categorized into groups based on care received: mental health, cancer, other conditions, or no care.
  • Multivariate logistic regression and inductive content analysis were used to assess offense and identify offensive content.

Main Results:

  • Patients receiving mental health care (25.4%) or combined mental health and cancer care (23.1%) reported higher offense rates.
  • Errors, disrespectful language, and unnecessary information were key reasons for offense.
  • Mental health patients more frequently found unnecessary information and professional opinions offensive.

Conclusions:

  • Certain patient groups, particularly those with mental health or combined cancer/mental health care, are more susceptible to offense from EHR content.
  • Healthcare professionals should be educated on neutral EHR note-writing, avoiding potentially offensive language and topics.
  • Improving EHR quality through careful writing can strengthen patient-provider relationships.