SynthesisJournal of medical systems2019
Real-Time Remote-Health Monitoring Systems: a Review on Patients Prioritisation for Multiple-Chronic Diseases, Taxonomy Analysis, Concerns and Solution Procedure.
Synthesis in Journal of medical systems, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 5 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
36 citing papers in PubMed, 5 syntheses or guidelines pooled it.
- Wearable Devices for Remote Monitoring of Chronic Diseases: Systematic Review.JMIR mHealth and uHealth · 2026Pooled it
- On the Necessity of Multidisciplinarity in the Development of at-Home Health Monitoring Platforms for Older Adults: Systematic Review.JMIR human factors · 2025Pooled it
- Repetitive transcranial magnetic stimulation for motor function in stroke: a systematic review and meta-analysis of randomized controlled studies.Systematic reviews · 2025Pooled it
- Systematic review of artificial intelligence techniques in the detection and classification of COVID-19 medical images in terms of evaluation and benchmarking: Taxonomy analysis, challenges, future solutions and methodological aspects.Journal of infection and public health · 2020Pooled it
- A Systematic Review for Enabling of Develop a Blockchain Technology in Healthcare Application: Taxonomy, Substantially Analysis, Motivations, Challenges, Recommendations and Future Direction.Journal of medical systems · 2019Pooled it
- Article
- Compact target-aware stability-based feature selection for cross-dataset wearable activity monitoring.PloS one · 2026Article
- A machine learning model for predicting six-month rehospitalization in heart failure patients with multiple comorbidities.Frontiers in cardiovascular medicine · 2026Article
- Improved security for IoT-based remote healthcare systems using deep learning with jellyfish search optimization algorithm.Scientific reports · 2025Article
- Article
- For a clinical application of optical triangulation to assess respiratory rate using an RGB camera and a line laser.BMC medical imaging · 2024Article
- Development Trends and Prospects of Technology-Based Solutions for Health Challenges in Aging Over the Past 25 Years: Bibliometric Analysis.Journal of medical Internet research · 2024Article
- Perspectives on AI use in medicine: views of the Italian Society of Artificial Intelligence in Medicine.Journal of preventive medicine and hygiene · 2024Article
- Review
- Admission prioritization of heart failure patients with multiple comorbidities.Frontiers in digital health · 2024Article
- Cloud Horizons: Strengthening Rural Healthcare Through Telemedicine's Digital Canopy.Health services insights · 2024Article
- Content and Quality of Mobile Apps for the Monitoring of Musculoskeletal or Neuropathic Pain in Australia: Systematic Evaluation.JMIR mHealth and uHealth · 2023Article
- Remote Health Monitoring Systems for Elderly People: A Survey.Sensors (Basel, Switzerland) · 2023Review
- Deep Learning-Based IoT System for Remote Monitoring and Early Detection of Health Issues in Real-Time.Sensors (Basel, Switzerland) · 2023Article
- Blockchain and COVID-19 pandemic: applications and challenges.Cluster computing · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
Remotely monitoring a patient's condition is a serious issue and must be addressed. Remote health monitoring systems (RHMS) in telemedicine refers to resources, strategies, methods and installations that enable doctors or other medical professionals to work remotely to consult, diagnose and treat patients. The goal of RHMS is to provide timely medical services at remote areas through telecommunication technologies. Through major advancements in technology, particularly in wireless networking, cloud computing and data storage, RHMS is becoming a feasible aspect of modern medicine. RHMS for the prioritisation of patients with multiple chronic diseases (MCDs) plays an important role in sustainably providing high-quality healthcare services. Further investigations are required to highlight the limitations of the prioritisation of patients with MCDs over a telemedicine environment. This study introduces a comprehensive and inclusive review on the prioritisation of patients with MCDs in telemedicine applications. Furthermore, it presents the challenges and open issues regarding patient prioritisation in telemedicine. The findings of this study are as follows: (1) The limitations and problems of existing patients' prioritisation with MCDs are presented and emphasised. (2) Based on the analysis of the academic literature, an accurate solution for remote prioritisation in a large scale of patients with MCDs was not presented. (3) There is an essential need to produce a new multiple-criteria decision-making theory to address the current problems in the prioritisation of patients with MCDs.
Indexed as
Identifiers
31187288What 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.