ArticleJournal of medical Internet research2019
Toward Comprehensive Patient-Centric Care by Integrating Digital Health Technology With Direct Clinical Contact in Australia.
Article in Journal of medical Internet research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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
17 citing papers in PubMed, 47 citations in OpenAlex.
- "Do I buy my children shoes, or do I get a compression garment for my lymphoedema?" Australian stakeholder perspectives on cancer-related lymphoedema care.Journal of cancer survivorship : research and practice · 2026Article
- Patients' Perspectives on Telemedicine for Type 2 Diabetes in Primary Care: Systematic Review and Thematic Synthesis.Mayo Clinic proceedings. Digital health · 2026Review
- The Flow of Healthcare Information in Rural and Remote Settings: A Qualitative Approach.Journal of evaluation in clinical practice · 2026Article
- The Feasibility and Impact of Implementing Interventions to Reduce Short-Acting βAdvances in therapy · 2025Review
- Cancer Patients' Perspectives and Requirements of Digital Health Technologies: A Scoping Literature Review.Cancers · 2024Article
- Enhancing data practices for Whole Health: Strategies for a transformative future.Learning health systems · 2024Article
- Reforms and innovations in primary health care in different countries: scoping review.Primary health care research & development · 2024Article
- Implementing Activity-Based Therapy for Spinal Cord Injury Rehabilitation in Canada: Challenges and Proposed Solutions.Healthcare (Basel, Switzerland) · 2024Review
- Patients' perspectives on digital health tools.PEC innovation · 2023Article
- The Widening Gap between the Digital Capability of the Care Workforce and Technology-Enabled Healthcare Delivery: A Nursing and Allied Health Analysis.Healthcare (Basel, Switzerland) · 2023Article
- 'The way that we are collecting and using data has evolved' evaluating the Australian National Stroke Audit programme to inform strategic direction.BMJ open quality · 2023Article
- Electronic Health Records That Support Health Professional Reflective Practice: a Missed Opportunity in Digital Health.Journal of healthcare informatics research · 2022Article
- Exploring the COVID-19 Pandemic as a Catalyst for Behavior Change Among Patient Health Record App Users in Taiwan: Development and Usability Study.Journal of medical Internet research · 2022Article
- Patient-Centered Care: Transforming the Health Care System in Vietnam With Support of Digital Health Technology.Journal of medical Internet research · 2021Article
- Resource allocation for depression management in general practice: A simple data-based filter model.PloS one · 2021Article
- Flip the Clinic: A Digital Health Approach to Youth Mental Health Service Delivery During the COVID-19 Pandemic and Beyond.JMIR mental health · 2020Article
- The Internet of Things: Impact and Implications for Health Care Delivery.Journal of medical Internet research · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThere is an escalating crisis in health care, locally and internationally. The current health care model is unable to meet the increasing health care demands.
objectiveThe aim of this study was to reconceptualize the provision of health care to produce better outcomes at no greater cost, by placing individuals in the position of authority to direct their own care, in a personalized, integrated health care system.
methodsIn this study, we used the Australian health care system as a model. We reviewed the current landscape of digital health in Australia and discussed how electronic medical records (EMRs) can be further developed into a personalized, integrated health care system.
resultsSome components of an EMR and digital health system are already being used in Australia, but the systems are not linked. A personalized, integrated health care model that is responsive to consumer needs requires not just a passive repository of medical information; it would require a team approach, including the government, health care funders, industries, consumers and advocacy groups, health care professionals, community groups, and universities.
conclusionsImplementation of a personalized, integrated health care system can result in reduced pressure on the current health care system, and it can result in the delivery of best-practice health care, regardless of location. Importantly, a personalized, integrated health care system could serve as an education platform, "upskilling" not only clinicians but also, more importantly, patients and carers by providing them with accurate information about their condition, treatment options, medications, and management strategies. By proposing personalized, integrated health care, we offer an intelligent model of health care that is ubiquitous, efficient, and continuously improving.
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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.