ReviewJournal of medical Internet research2017
Patient Health Record Systems Scope and Functionalities: Literature Review and Future Directions.
Review in Journal of medical Internet research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 21 papers, 2 of them syntheses that pooled 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.
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.
Who cites it
21 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Functionalities and Issues in the Implementation of Personal Health Records: Systematic Review.Journal of medical Internet research · 2021Pooled it
- Barriers to patient, provider, and caregiver adoption and use of electronic personal health records in chronic care: a systematic review.BMC medical informatics and decision making · 2020Pooled it
- Chinese Mobile Health Apps for Preventing and Managing Pelvic Floor Dysfunction: Quality Assessment and Content Analysis.Journal of medical Internet research · 2026Article
- A review on knowledge graphs for healthcare: Resources, applications, and promises.Journal of biomedical informatics · 2025Review
- Patient Health Record Smart Network Challenges and Trends for a Smarter World.Sensors (Basel, Switzerland) · 2025Review
- Identification and Classification Features of Patient Portal, A Systematic Review.Health science reports · 2025Review
- Personal Health Record implementation in rural primary care: A descriptive exploratory study using RE-AIM framework.PLOS digital health · 2024Article
- Development of a digital intervention for psychedelic preparation (DIPP).Scientific reports · 2024Article
- Is a bio-psychosocial approach model possible at the first level of health services in the Democratic Republic of Congo? An organizational analysis of six health centers in South Kivu.BMC health services research · 2023Article
- The Role of Access Type and Age Group in the Breadth of Use of Patient Portals: Observational Study.Journal of medical Internet research · 2022Observational
- Predicting Health Care Providers' Acceptance of a Personal Health Record Secure Messaging Feature.Applied clinical informatics · 2022Article
- Improvement and Evaluation of the TOPCOP Taxonomy of Patient Portals: Taxonomy-Evaluation-Delphi (TED) Approach.Journal of medical Internet research · 2021Article
- Preferred Functions of Personal Health Records in Rural Primary Health Clinics in Canada: Health Care Team Perspectives.Applied clinical informatics · 2021Article
- Article
- Consumers' Intentions to Adopt Blockchain-Based Personal Health Records and Data Sharing: Focus Group Study.JMIR formative research · 2020Article
- Analysis of Platforms and Functions of Mobile-Based Personal Health Record Systems.Healthcare informatics research · 2020Article
- Information and Communications Technology-Based Interventions Targeting Patient Empowerment: Framework Development.Journal of medical Internet research · 2020Article
- Concept Analysis of Clinical Reasoning in Physical Therapist Practice.Physical therapy · 2020Article
- Monitoring Mental Healthcare Services Using Business Analytics.Healthcare informatics research · 2020Article
- How to Enhance Digital Support for Cross-Organisational Health Care Teams? A User-Based Explorative Study.Journal of healthcare engineering · 2020Article
Corrections and comments
- Erratum issued
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundA new generation of user-centric information systems is emerging in health care as patient health record (PHR) systems. These systems create a platform supporting the new vision of health services that empowers patients and enables patient-provider communication, with the goal of improving health outcomes and reducing costs. This evolution has generated new sets of data and capabilities, providing opportunities and challenges at the user, system, and industry levels.
objectiveThe objective of our study was to assess PHR data types and functionalities through a review of the literature to inform the health care informatics community, and to provide recommendations for PHR design, research, and practice.
methodsWe conducted a review of the literature to assess PHR data types and functionalities. We searched PubMed, Embase, and MEDLINE databases from 1966 to 2015 for studies of PHRs, resulting in 1822 articles, from which we selected a total of 106 articles for a detailed review of PHR data content.
resultsWe present several key findings related to the scope and functionalities in PHR systems. We also present a functional taxonomy and chronological analysis of PHR data types and functionalities, to improve understanding and provide insights for future directions. Functional taxonomy analysis of the extracted data revealed the presence of new PHR data sources such as tracking devices and data types such as time-series data. Chronological data analysis showed an evolution of PHR system functionalities over time, from simple data access to data modification and, more recently, automated assessment, prediction, and recommendation.
conclusionsEfforts are needed to improve (1) PHR data quality through patient-centered user interface design and standardized patient-generated data guidelines, (2) data integrity through consolidation of various types and sources, (3) PHR functionality through application of new data analytics methods, and (4) metrics to evaluate clinical outcomes associated with automated PHR system use, and costs associated with PHR data storage and analytics.
Indexed as
Identifiers
What OpenQuestion holds
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.