ArticleBMC medical informatics and decision making2024
Developing an integrated clinical decision support system for the early identification and management of kidney disease-building cross-sectoral partnerships.
Article in BMC medical informatics and decision making, 2024. 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 8 papers, 1 of them a synthesis that pooled it.
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
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
8 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- Developing Integrated Healthcare Models for Indigenous People: Insights from a Relational Systematic Scoping Review.Journal of community health · 2026Article
- Economic vulnerability or social inequality? A global comparative analysis of their relative impact on chronic kidney disease burden.Frontiers in public health · 2026Article
- Awareness and management of stage 3 chronic kidney disease among primary care practitioners in Italy: a nation-wide observational study.Journal of nephrology · 2025Observational
- Rapid chronic kidney disease progression in younger, First Nations patients in the Northern Territory.Internal medicine journal · 2025Article
- Cost-Effectiveness of Clinical Decision Support to Improve CKD Outcomes Among First Nations Australians.Kidney international reports · 2025Article
- Costs and healthcare use of patients with chronic kidney disease in the Northern Territory, Australia.BMC health services research · 2024Article
- Correction: Developing an integrated clinical decision support system for the early identification and management of kidney disease-building cross-sectoral partnerships.BMC medical informatics and decision making · 2024Article
Corrections and comments
- Erratum issued
Authors and funding
16 authors.
Funding
Abstract
backgroundThe burden of chronic conditions is growing in Australia with people in remote areas experiencing high rates of disease, especially kidney disease. Health care in remote areas of the Northern Territory (NT) is complicated by a mobile population, high staff turnover, poor communication between health services and complex comorbid health conditions requiring multidisciplinary care.
aimThis paper aims to describe the collaborative process between research, government and non-government health services to develop an integrated clinical decision support system to improve patient care.
methodsBuilding on established partnerships in the government and Aboriginal Community-Controlled Health Service (ACCHS) sectors, we developed a novel digital clinical decision support system for people at risk of developing kidney disease (due to hypertension, diabetes, cardiovascular disease) or with kidney disease. A cross-organisational and multidisciplinary Steering Committee has overseen the design, development and implementation stages. Further, the system's design and functionality were strongly informed by experts (Clinical Reference Group and Technical Working Group), health service providers, and end-user feedback through a formative evaluation.
resultsWe established data sharing agreements with 11 ACCHS to link patient level data with 56 government primary health services and six hospitals. Electronic Health Record (EHR) data, based on agreed criteria, is automatically and securely transferred from 15 existing EHR platforms. Through clinician-determined algorithms, the system assists clinicians to diagnose, monitor and provide guideline-based care for individuals, as well as service-level risk stratification and alerts for clinically significant events.
conclusionDisconnected health services and separate EHRs result in information gaps and a health and safety risk, particularly for patients who access multiple health services. However, barriers to clinical data sharing between health services still exist. In this first phase, we report how robust partnerships and effective governance processes can overcome these barriers to support clinical decision making and contribute to holistic care.
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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.