Real-Time Remote-Health Monitoring Systems: a Review on Patients Prioritisation for Multiple-Chronic Diseases, Taxonomy Analysis, Concerns and Solution Procedure

Overview

Journal J Med Syst

Specialty Medical Informatics

Date 2019 Jun 13

PMID 31187288

Citations 29

Authors

K I Mohammed

A A Zaidan

B B Zaidan

O S Albahri

M A Alsalem

A S Albahri

Ali Hadi

M Hashim

Affiliations

Soon will be listed here.

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.

Citing Articles

On the Necessity of Multidisciplinarity in the Development of at-Home Health Monitoring Platforms for Older Adults: Systematic Review.

Lochhead C, Fisher R JMIR Hum Factors. 2025; 12:e59458.

PMID: 40014832 PMC: 11884709. DOI: 10.2196/59458.

Repetitive transcranial magnetic stimulation for motor function in stroke: a systematic review and meta-analysis of randomized controlled studies.

Xie G, Wang T, Deng L, Zhou L, Zheng X, Zhao C Syst Rev. 2025; 14(1):47.

PMID: 39994795 PMC: 11849290. DOI: 10.1186/s13643-025-02794-3.

Enhancing EHR Systems with data from wearables: An end-to-end Solution for monitoring post-Surgical Symptoms in older adults.

Sun H, Jalam S, Kodali H, Nerella S, Zapata R, Gravina N ArXiv. 2024; .

PMID: 39575122 PMC: 11581106.

Perspectives on AI use in medicine: views of the Italian Society of Artificial Intelligence in Medicine.

Causio F, De Angelis L, Diedenhofen G, Talio A, Baglivo F J Prev Med Hyg. 2024; 65(2):E285-E289.

PMID: 39430984 PMC: 11487733. DOI: 10.15167/2421-4248/jpmh2024.65.2.3261.

For a clinical application of optical triangulation to assess respiratory rate using an RGB camera and a line laser.

Jeong Y, Song C, Lee S, Son J BMC Med Imaging. 2024; 24(1):274.

PMID: 39390449 PMC: 11468289. DOI: 10.1186/s12880-024-01448-5.

References

Redondo-Sendino A, Guallar-Castillon P, Banegas J, Rodriguez-Artalejo F . [Relationship between social network and hypertension in older people in Spain]. Rev Esp Cardiol. 2005; 58(11):1294-301. View

Baltussen R, Niessen L . Priority setting of health interventions: the need for multi-criteria decision analysis. Cost Eff Resour Alloc. 2006; 4:14. PMC: 1560167. DOI: 10.1186/1478-7547-4-14. View

Vogeli C, Shields A, Lee T, Gibson T, Marder W, Weiss K . Multiple chronic conditions: prevalence, health consequences, and implications for quality, care management, and costs. J Gen Intern Med. 2007; 22 Suppl 3:391-5. PMC: 2150598. DOI: 10.1007/s11606-007-0322-1. View

Roman R, Comas M, Mar J, Bernal E, Jimenez-Puente A, Gutierrez-Moreno S . Geographical variations in the benefit of applying a prioritization system for cataract surgery in different regions of Spain. BMC Health Serv Res. 2008; 8:32. PMC: 2277390. DOI: 10.1186/1472-6963-8-32. View

Shih D, Chiang H, Lin B, Lin S . An embedded mobile ECG reasoning system for elderly patients. IEEE Trans Inf Technol Biomed. 2009; 14(3):854-65. DOI: 10.1109/TITB.2009.2021065. View

Winkler S, Schieber M, Lucke S, Heinze P, Schweizer T, Wegertseder D . A new telemonitoring system intended for chronic heart failure patients using mobile telephone technology--feasibility study. Int J Cardiol. 2010; 153(1):55-8. DOI: 10.1016/j.ijcard.2010.08.038. View

Malhotra R, Chan A, Malhotra C, Ostbye T . Prevalence, awareness, treatment and control of hypertension in the elderly population of Singapore. Hypertens Res. 2010; 33(12):1223-31. DOI: 10.1038/hr.2010.177. View

Rocha A, Martins A, Freire Junior J, Kamel Boulos M, Vicente M, Feld R . Innovations in health care services: the CAALYX system. Int J Med Inform. 2011; 82(11):e307-20. DOI: 10.1016/j.ijmedinf.2011.03.003. View

Parekh A, Goodman R, Gordon C, Koh H . Managing multiple chronic conditions: a strategic framework for improving health outcomes and quality of life. Public Health Rep. 2011; 126(4):460-71. PMC: 3115206. DOI: 10.1177/003335491112600403. View

10.

Rogove H, McArthur D, Demaerschalk B, Vespa P . Barriers to telemedicine: survey of current users in acute care units. Telemed J E Health. 2011; 18(1):48-53. DOI: 10.1089/tmj.2011.0071. View

11.

Jeong S, Youn C, Shim E, Kim M, Cho Y, Peng L . An integrated healthcare system for personalized chronic disease care in home-hospital environments. IEEE Trans Inf Technol Biomed. 2012; 16(4):572-85. DOI: 10.1109/TITB.2012.2190989. View

12.

Patel S, Park H, Bonato P, Chan L, Rodgers M . A review of wearable sensors and systems with application in rehabilitation. J Neuroeng Rehabil. 2012; 9:21. PMC: 3354997. DOI: 10.1186/1743-0003-9-21. View

13.

Chan M, Esteve D, Fourniols J, Escriba C, Campo E . Smart wearable systems: current status and future challenges. Artif Intell Med. 2012; 56(3):137-56. DOI: 10.1016/j.artmed.2012.09.003. View

14.

Baig M, GholamHosseini H . Smart health monitoring systems: an overview of design and modeling. J Med Syst. 2013; 37(2):9898. DOI: 10.1007/s10916-012-9898-z. View

15.

Mazomenos E, Biswas D, Acharyya A, Chen T, Maharatna K, Rosengarten J . A low-complexity ECG feature extraction algorithm for mobile healthcare applications. IEEE J Biomed Health Inform. 2013; 17(2):459-69. DOI: 10.1109/TITB.2012.2231312. View

16.

Touati F, Tabish R . u-Healthcare system: state-of-the-art review and challenges. J Med Syst. 2013; 37(3):9949. DOI: 10.1007/s10916-013-9949-0. View

17.

Brown A, Clarke D . Reducing uncertainty in triaging mental health presentations: examining triage decision-making. Int Emerg Nurs. 2013; 22(1):47-51. DOI: 10.1016/j.ienj.2013.01.005. View

18.

Tia Gao , Massey T, Selavo L, Crawford D, Chen B, Lorincz K . The advanced health and disaster aid network: a light-weight wireless medical system for triage. IEEE Trans Biomed Circuits Syst. 2013; 1(3):203-16. DOI: 10.1109/TBCAS.2007.910901. View

19.

Kiah M, Nabi M, Zaidan B, Zaidan A . An enhanced security solution for electronic medical records based on AES hybrid technique with SOAP/XML and SHA-1. J Med Syst. 2013; 37(5):9971. DOI: 10.1007/s10916-013-9971-2. View

20.

Azeez D, Ali M, Beng Gan K, Saiboon I . Comparison of adaptive neuro-fuzzy inference system and artificial neutral networks model to categorize patients in the emergency department. Springerplus. 2013; 2:416. PMC: 3776083. DOI: 10.1186/2193-1801-2-416. View