ArticleJournal of medical Internet research2022
Characterizing Patient-Clinician Communication in Secure Medical Messages: Retrospective Study.
Article in Journal of medical Internet research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.
What it found
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Who cites it
22 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Computational Use of Patient-Provider Secure Messaging Data to Achieve Better Clinical Efficiency and Quality of Communication: A Systematic Review.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2024Pooled it
- Clinician-Patient Asynchronous Text Messaging Communication in Hospital-at-Home Care: Qualitative Study.Journal of medical Internet research · 2026Article
- A scoping review of studies on secure messaging through patient portals: persistent challenges and potential solutions.npj health systems · 2026Article
- Patient Preferences for In-Person vs Remote Care for Long-Term Conditions.JAMA network open · 2026Article
- Taming the In-Basket-How Two Simple Tools Reduced Portal Message Volume in an Academic Internal Medicine Clinic.Journal of general internal medicine · 2025Article
- The Digital Workload Divide: Investigating Gender Differences in Electronic Health Record Messaging among Primary Care Clinicians.Applied clinical informatics · 2025Article
- High Users of Primary Care Secure Messaging in the Veterans Health Administration.Annals of family medicine · 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
- Evaluating the SEND eHealth Application to Improve Patients' Secure Message Writing.Journal of cancer education : the official journal of the American Association for Cancer Education · 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
- Examining Health Care Provider Experiences With Patient Portal Implementation: Mixed Methods Study.Journal of medical Internet research · 2025Article
- Automatic uncovering of patient primary concerns in portal messages using a fusion framework of pretrained language models.Journal of the American Medical Informatics Association : JAMIA · 2024Article
- Using large language model to guide patients to create efficient and comprehensive clinical care message.Journal of the American Medical Informatics Association : JAMIA · 2024Article
- Understanding Primary and Secondary Concerns from Patient Portal Messages through Clinical Data Annotation, Analysis, and Modeling.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2024Article
- Use of the patient portal among older adults with diagnosed dementia and their care partners.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2023Observational
- Patient portal interventions: a scoping review of functionality, automation used, and therapeutic elements of patient portal interventions.JAMIA open · 2023Article
- The Impact of Secure Messaging in the Treatment of Patients With Diabetes Within a Primary Care Setting: Protocol for a Scoping Review.JMIR research protocols · 2023Article
- Ways to Improve Workflow and Morale in an Ophthalmology Clinic: Survey Advice from Clinic Staff.Journal of biotechnology and biomedicine · 2023Article
- MediLinker: a blockchain-based decentralized health information management platform for patient-centric healthcare.Frontiers in big data · 2023Article
- Patient Trust in Physicians Matters-Understanding the Role of a Mobile Patient Education System and Patient-Physician Communication in Improving Patient Adherence Behavior: Field Study.Journal of medical Internet research · 2022Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
backgroundPatient-clinician secure messaging is an important function in patient portals and enables patients and clinicians to communicate on a wide spectrum of issues in a timely manner. With its growing adoption and patient engagement, it is time to comprehensively study the secure messages and user behaviors in order to improve patient-centered care.
objectiveThe aim of this paper was to analyze the secure messages sent by patients and clinicians in a large multispecialty health system at Mayo Clinic, Rochester.
methodsWe performed message-based, sender-based, and thread-based analyses of more than 5 million secure messages between 2010 and 2017. We summarized the message volumes, patient and clinician population sizes, message counts per patient or clinician, as well as the trends of message volumes and user counts over the years. In addition, we calculated the time distribution of clinician-sent messages to understand their workloads at different times of a day. We also analyzed the time delay in clinician responses to patient messages to assess their communication efficiency and the back-and-forth rounds to estimate the communication complexity.
resultsDuring 2010-2017, the patient portal at Mayo Clinic, Rochester experienced a significant growth in terms of the count of patient users and the total number of secure messages sent by patients and clinicians. Three clinician categories, namely "physician-primary care," "registered nurse-specialty," and "physician-specialty," bore the majority of message volume increase. The patient portal also demonstrated growing trends in message counts per patient and clinician. The "nurse practitioner or physician assistant-primary care" and "physician-primary care" categories had the heaviest per-clinician workload each year. Most messages by the clinicians were sent from 7 AM to 5 PM during a day. Yet, between 5 PM and 7 PM, the physicians sent 7.0% (95,785/1,377,006) of their daily messages, and the nurse practitioner or physician assistant sent 5.4% (22,121/408,526) of their daily messages. The clinicians replied to 72.2% (1,272,069/1,761,739) patient messages within 1 day and 90.6% (1,595,702/1,761,739) within 3 days. In 95.1% (1,499,316/1,576,205) of the message threads, the patients communicated with their clinicians back and forth for no more than 4 rounds.
conclusionsOur study found steady increases in patient adoption of the secure messaging system and the average workload per clinician over 8 years. However, most clinicians responded timely to meet the patients' needs. Our study also revealed differential patient-clinician communication patterns across different practice roles and care settings. These findings suggest opportunities for care teams to optimize messaging tasks and to balance the workload for optimal efficiency.
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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.