ArticleJournal of medical Internet research2020
Tracing the Decisions That Shaped the Development of MyChart, an Electronic Patient Portal in Alberta, Canada: Historical Research Study.
Article in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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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
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Who cites it
9 citing papers in PubMed.
- The Effects of an Online Patient Portal on Nurses' and the Health Care Team's Work in an Outpatient Oncology Setting: A Qualitative Study.The Canadian journal of nursing research = Revue canadienne de recherche en sciences infirmieres · 2026Article
- Examining Health Care Provider Experiences With Patient Portal Implementation: Mixed Methods Study.Journal of medical Internet research · 2025Article
- Retrospective analysis of the human-centered design process used to develop a clinical decision support in the emergency department: PE Dx Study Part 2.Human factors in healthcare · 2023Article
- Leadership in the context of digital health services: A concept analysis.Journal of nursing management · 2022Article
- Clinician based decision tool to guide recommended interval between colonoscopies: development and evaluation pilot study.BMC medical informatics and decision making · 2022Article
- Foundations for Meaningful Consent in Canada's Digital Health Ecosystem: Retrospective Study.JMIR medical informatics · 2022Article
- Article
- Creation of a pharmacogenomics patient portal complementary to an existing institutional provider-facing clinical decision support system.JAMIA open · 2021Article
- Capturing the Impact of Patient Portals Based on the Quadruple Aim and Benefits Evaluation Frameworks: Scoping Review.Journal of medical Internet research · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundUnderstanding how health organizations decide on information technology (IT) investments is imperative to ensure successful implementation and adoption. There is a high rate of failure and a tendency to downplay the complexity of implementation progression. Alberta Health Services introduced a patient portal called MyChart. Although MyChart allows patients to view appointments and selected laboratory results and to communicate with their providers, its uptake varies.
objectiveThe study aimed to examine the institutional decision-making processes that shaped the development and implementation of MyChart.
methodsA historical study was conducted based on the 7-step framework, where one engages in a rigorous archival critical analysis (including internal and external criticism) of documents and analysis of interviews. We reviewed and analyzed 423 primary and secondary sources and interviewed 10 key decision makers.
resultsSupportive leadership, project management, focused scope, appropriate technology and vendor selection, and quick decision making were some of the facilitators that allowed for the growth of proof of concept. The planning and implementation stages did not depend much on the technology itself but on the various actors who influenced the implementation by exerting power. The main barriers were lack of awareness about the technology, proper training, buy-in from diverse system leaders, and centralized government decision making.
conclusionsOrganizational priorities and decision-making tactics influence IT investments, implementation, adoption, and outcomes. Future research could focus on improving the applicability of needs assessments and funding decisions to health care scenarios.
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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.