ArticleJMIR medical informatics2020
A Retrospective Analysis of Provider-to-Patient Secure Messages: How Much Are They Increasing, Who Is Doing the Work, and Is the Work Happening After Hours?
Article in JMIR medical informatics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.
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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.
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.
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Who cites it
35 citing papers in PubMed.
- A Comparative Study of Large Language Models, Human Experts, and Expert-Edited Large Language Models to Neuro-Ophthalmology Questions.Journal of neuro-ophthalmology : the official journal of the North American Neuro-Ophthalmology Society · 2025Trial
- "Doc, Is This Normal?" A Retrospective Review of Patient Messaging for a Single Surgeon in an Academic Plastic Surgery Practice.Plastic and reconstructive surgery. Global open · 2026Article
- Defining and Assessing Empathic Communication in Patient Portal Secure Messages: Adapted Coding Framework Development Study.JMIR formative research · 2026Article
- A scoping review of studies on secure messaging through patient portals: persistent challenges and potential solutions.npj health systems · 2026Article
- Comparison of Emotional Content in Text Responses From Physicians and AI Chatbots to Patient Health Queries: Cross-Sectional Study.Journal of medical Internet research · 2026Article
- Portal message utilization in orthopedic spine surgery: patterns, predictors, and financial implications.North American Spine Society journal · 2026Article
- What patients want from healthcare chatbots: insights from a mixed-methods study.Journal of the American Medical Informatics Association : JAMIA · 2025Article
- Measurement, drivers, and outcomes of patient-initiated secure messaging use and intensity: a scoping review.JAMIA open · 2025Review
- A systematic review of early evidence on generative AI for drafting responses to patient messages.npj health systems · 2025Article
- Patient-Health Care Professional Communication via a Secure Web-Based Portal in Severe Mental Health Conditions: Qualitative Analysis of Secure Messages.JMIR formative research · 2025Article
- Detecting emergencies in patient portal messages using large language models and knowledge graph-based retrieval-augmented generation.Journal of the American Medical Informatics Association : JAMIA · 2025Article
- Opportunities and risks of artificial intelligence in patient portal messaging in primary care.NPJ digital medicine · 2025Article
- Patient-Generated Collections for Organizing Electronic Health Record Data to Elevate Personal Meaning, Improve Actionability, and Support Patient-Health Care Provider Communication: Think-Aloud Evaluation Study.JMIR human factors · 2025Article
- Secure messaging telehealth billing in the digital age: moving beyond time-based metrics.Journal of the American Medical Informatics Association : JAMIA · 2025Article
- Discussions of Cannabis Over Patient Portal Secure Messaging: Content Analysis.Journal of medical Internet research · 2024Article
- Article
- Balancing act: the complex role of artificial intelligence in addressing burnout and healthcare workforce dynamics.BMJ health & care informatics · 2024Article
- Patient Portal Message Volume and Time Spent on the EHR: an Observational Study of Primary Care Clinicians.Journal of general internal medicine · 2024Observational
- A scoping review of empathy recognition in text using natural language processing.Journal of the American Medical Informatics Association : JAMIA · 2024Article
- Physician Burnout: Evidence-Based Roadmaps to Prioritizing and Supporting Personal Wellbeing.Journal of healthcare leadership · 2024Review
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPatient portal registration and the use of secure messaging are increasing. However, little is known about how the work of responding to and initiating patient messages is distributed among care team members and how these messages may affect work after hours.
objectiveThis study aimed to examine the growth of secure messages and determine how the work of provider responses to patient-initiated secure messages and provider-initiated secure messages is distributed across care teams and across work and after-work hours.
methodsWe collected secure messages sent from providers from January 1, 2013, to March 15, 2018, at Mayo Clinic, Rochester, Minnesota, both in response to patient secure messages and provider-initiated secure messages. We examined counts of messages over time, how the work of responding to messages and initiating messages was distributed among health care workers, messages sent per provider, messages per unique patient, and when the work was completed (proportion of messages sent after standard work hours).
resultsPortal registration for patients having clinic visits increased from 33% to 62%, and increasingly more patients and providers were engaged in messaging. Provider message responses to individual patients increased significantly in both primary care and specialty practices. Message responses per specialty physician provider increased from 15 responses per provider per year to 53 responses per provider per year from 2013 to 2018, resulting in a 253% increase. Primary care physician message responses increased from 153 per provider per year to 322 from 2013 to 2018, resulting in a 110% increase. Physicians, nurse practitioners, physician assistants, and registered nurses, all contributed to the substantial increases in the number of messages sent.
conclusionsProvider-sent secure messages at a large health care institution have increased substantially since implementation of secure messaging between patients and providers. The effort of responding to and initiating messages to patients was distributed across multiple provider categories. The percentage of message responses occurring after hours showed little substantial change over time compared with the overall increase in message volume.
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Registered trials
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.