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Miranda R, Oliveira MD, Nicola P, Baptista FM, Albuquerque I. Towards A Framework for Implementing Remote Patient Monitoring From an Integrated Care Perspective: A Scoping Review. Int J Health Policy Manag 2023; 12:7299. [PMID: 37579426 PMCID: PMC10461888 DOI: 10.34172/ijhpm.2023.7299] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Accepted: 01/28/2023] [Indexed: 08/16/2023] Open
Abstract
BACKGROUND Remote patient monitoring (RPM) has been increasingly adopted over the last decade, with the COVID-19 pandemic fostering its rapid development. As RPM implementation is recognised as complex and highly demanding in terms of resources and processes, there are multiple challenges in providing RPM in an integrated logic. METHODS To examine the structural elements that are relevant for implementing RPM integrated care, a scoping review was conducted in PubMed, Scopus, and Web of Science, leveraging a search strategy that combines terms relative to (1) conceptual models and reallife initiatives; (2) RPM; and (3) care integration. RESULTS 28 articles were included, covering nine conceptual models and 19 real-life initiatives. Eighteen structural elements of RPM integrated care implementation were identified among conceptual models, defining a structure for assessing real-life initiatives. 78.9% of those initiatives referred to at least ten structural elements, with patient education and self-monitoring promotion, multidisciplinary core workforce, ICTs (information and communications technologies) and telemonitoring devices, and health indicators measurement being present in all studies, and therefore being core elements to the design of RPM initiatives. CONCLUSION RPM goes far beyond technology, with underlying processes and involved actors playing a central role in care provision. The structural elements identified can guide RPM implementation and promote maturity in adoption. Future research may focus on assessing design completeness, evaluating impacts, and analysing related financial arrangements.
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Affiliation(s)
- Rafael Miranda
- Centro de Estudos de Gestão do Instituto Superior Técnico (CEG-IST), Instituto Superior Técnico, Universidade de Lisboa, Lisboa, Portugal
- Enterprise Services, Siemens Healthineers Portugal, Lisboa, Portuga
| | - Mónica Duarte Oliveira
- Centro de Estudos de Gestão do Instituto Superior Técnico (CEG-IST), Instituto Superior Técnico, Universidade de Lisboa, Lisboa, Portugal
- iBB - Institute for Bioengineering and Biosciences and i4HB - Associate Laboratory Institute for Health and Bioeconomy, Instituto Superior Técnico, Universidade de Lisboa, Lisboa, Portugal
| | - Paulo Nicola
- Instituto de Medicina Preventiva e Saúde Pública, Faculdade de Medicina, Universidade de Lisboa, Lisboa, Portuga
| | | | - Isabel Albuquerque
- Comprehensive Health Research Center (CHRC), Universidade NOVA de Lisboa, Lisboa, Portugal
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Denker K, Dean M, Chapman D, Sump C. Using a centralized nursing team to implement multi-specialty pediatric remote patient monitoring programs. J Pediatr Nurs 2022; 69:10-17. [PMID: 36592607 PMCID: PMC9803966 DOI: 10.1016/j.pedn.2022.12.028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Revised: 12/19/2022] [Accepted: 12/26/2022] [Indexed: 01/01/2023]
Abstract
BACKGROUND The increase in telehealth usage has sustained since the beginning of the COVID-19 pandemic. While Remote Patient Monitoring (RPM) programs are abundantly used in the management of adults, pediatric RPM programs remain rare. METHODS An RPM department was developed to serve several, multi-specialty pediatric programs. This department uses a centralized nursing team that manages all patients enrolled in RPM programs. Each program is unique and created in partnership with the centralized nurses and the ambulatory care teams. The various programs allow for transmission of patient- and caregiver-generated health data and consistent communication between the patient or caregiver and the managing providers, allowing for real-time plan adaptation. FINDINGS Over 1200 patients have been managed through the 18 various RPM programs. Approximately 300 patients are monitored each month by the centralized nursing team. Patient and caregiver experience has been high due to resources offered including on-demand video visits and text messaging with the nursing team. DISCUSSION Multi-specialty RPM departments help to expand the reach of an institution and provide care to more patients. Quality improvement must be ongoing to ensure equity of participation and perceived benefit of the programs for both providers and patients and caregivers. APPLICATION TO PRACTICE Pediatric RPM programs can improve patient care delivery by decreasing days away from home while improving access to care. Ensuring equitable opportunity for patient participation is imperative in achieving success for an RPM department.
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Affiliation(s)
- Kylee Denker
- Center for Telehealth, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave, Cincinnati, OH 45229, United States of America.
| | - Micah Dean
- Center for Telehealth, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave, Cincinnati, OH 45229, United States of America.
| | - DaVona Chapman
- The James M. Anderson Center for Health Systems Excellence, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave, Cincinnati, OH 45229, United States of America.
| | - Courtney Sump
- Division of Hospital Medicine, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave, Cincinnati, OH 45229, United States of America; Department of Pediatrics, College of Medicine, University of Cincinnati, 3230 Eden Ave, Cincinnati, OH 45267, United States of America.
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Dauletbaev N, Oftring ZS, Akik W, Michaelis-Braun L, Korel J, Lands LC, Waldmann S, Müller BS, Dreher M, Rohde G, Vogelmeier CF, Kuhn S. A scoping review of mHealth monitoring of pediatric bronchial asthma before and during COVID-19 pandemic. Paediatr Respir Rev 2022; 43:67-77. [PMID: 35131174 PMCID: PMC8761580 DOI: 10.1016/j.prrv.2022.01.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/29/2021] [Accepted: 01/10/2022] [Indexed: 12/02/2022]
Abstract
Mobile (m) Health technology is well-suited for Remote Patient Monitoring (RPM) in a patient's habitual environment. In recent years there have been fast-paced developments in mHealth-enabled pediatric RPM, especially during the COVID-19 pandemic, necessitating evidence synthesis. To this end, we conducted a scoping review of clinical trials that had utilized mHealth-enabled RPM of pediatric asthma. MEDLINE, Embase and Web of Science were searched from September 1, 2016 through August 31, 2021. Our scoping review identified 25 publications that utilized synchronous and asynchronous mHealth-enabled RPM in pediatric asthma, either involving mobile applications or via individual devices. The last three years has seen the development of evidence-based, multidisciplinary, and participatory mHealth interventions. The quality of the studies has been improving, such that 40% of included study reports were randomized controlled trials. In conclusion, there exists high-quality evidence on mHealth-enabled RPM in pediatric asthma, warranting future systematic reviews and/or meta-analyses of the benefits of such RPM.
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Affiliation(s)
- Nurlan Dauletbaev
- Department of Internal, Respiratory and Critical Care Medicine, Philipps University of Marburg, Marburg, Germany (Member of the German Center for Lung Research (DZL)), Germany; Department of Pediatrics, Faculty of Medicine and Health Sciences, McGill University, Montreal, QC, Canada; The Research Institute of McGill University Health Centre, Montreal, QC, Canada; al-Farabi Kazakh National University, Almaty, Kazakhstan.
| | - Zoe S. Oftring
- Department of Digital Medicine, Medical Faculty OWL, Bielefeld University, Bielefeld, Germany
| | - Wided Akik
- Division of Experimental Medicine, Faculty of Medicine and Health Sciences, McGill University, Montreal, QC, Canada
| | - Lukas Michaelis-Braun
- Department of Internal, Respiratory and Critical Care Medicine, Philipps University of Marburg, Marburg, Germany (Member of the German Center for Lung Research (DZL)), Germany
| | - Julia Korel
- Department of Internal, Respiratory and Critical Care Medicine, Philipps University of Marburg, Marburg, Germany (Member of the German Center for Lung Research (DZL)), Germany
| | - Larry C. Lands
- Department of Pediatrics, Faculty of Medicine and Health Sciences, McGill University, Montreal, QC, Canada,The Research Institute of McGill University Health Centre, Montreal, QC, Canada
| | - Susanne Waldmann
- Central Medical Library, Philipps University of Marburg, Marburg, Germany
| | - Beate S. Müller
- Institute of General Practice, Goethe-University Frankfurt, Frankfurt am Main, Germany
| | - Michael Dreher
- Department of Pneumology and Intensive Care Medicine, University Hospital Aachen, Aachen, Germany
| | - Gernot Rohde
- Medical Clinic 1, Department of Respiratory Medicine, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Claus F. Vogelmeier
- Department of Internal, Respiratory and Critical Care Medicine, Philipps University of Marburg, Marburg, Germany (Member of the German Center for Lung Research (DZL)), Germany
| | - Sebastian Kuhn
- Department of Digital Medicine, Medical Faculty OWL, Bielefeld University, Bielefeld, Germany
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Panagopoulos C, Menychtas A, Jahaj E, Vassiliou AG, Gallos P, Dimopoulou I, Kotanidou A, Maglogiannis I. Intelligent Pervasive Monitoring Solution of COVID-19 Patients. Stud Health Technol Inform 2022; 295:570-573. [PMID: 35773938 DOI: 10.3233/shti220792] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
The COVID-19 pandemic transforms the healthcare delivery models and accelerates the implementation and the adoption of telemedicine solutions at all levels of the healthcare system. Telehealth services ensure the continuity of care and treatment of both inpatients and outpatients during this pandemic, while reducing the spread of the virus through hospitals. The aim of this paper is to present an intelligent remote monitoring system with innovative data analytics features for COVID-19 patients. The i-COVID platform provides remote COVID-19 patients monitoring. The presented solution is addressed to patients with mild COVID-19 symptoms, as well as it can be used for post intensive-care monitoring. The platform offers advanced analytic capabilities using Proactive AI, to detect health condition deterioration, and automatically trigger personalized support workflows. Remote monitoring of COVID-19 patients using bio-sensors, seems to be an effective tool against the COVID-19 pandemic, as reduces the number of visits to patient screening centres and hospital admissions.
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Affiliation(s)
| | - Andreas Menychtas
- BioAssist S.A., Athens, Greece
- Computational Biomedicine Research Lab, Department of Digital Systems, University of Piraeus, Piraeus, Greece
| | - Edison Jahaj
- First Department of Critical Care Medicine and Pulmonary Services, School of Medicine, National and Kapodistrian University of Athens, Evangelismos Hospital, Athens, Greece
| | - Alice Georgia Vassiliou
- First Department of Critical Care Medicine and Pulmonary Services, School of Medicine, National and Kapodistrian University of Athens, Evangelismos Hospital, Athens, Greece
| | - Parisis Gallos
- BioAssist S.A., Athens, Greece
- Computational Biomedicine Research Lab, Department of Digital Systems, University of Piraeus, Piraeus, Greece
- First Department of Critical Care Medicine and Pulmonary Services, School of Medicine, National and Kapodistrian University of Athens, Evangelismos Hospital, Athens, Greece
| | - Ioanna Dimopoulou
- First Department of Critical Care Medicine and Pulmonary Services, School of Medicine, National and Kapodistrian University of Athens, Evangelismos Hospital, Athens, Greece
| | - Anastasia Kotanidou
- First Department of Critical Care Medicine and Pulmonary Services, School of Medicine, National and Kapodistrian University of Athens, Evangelismos Hospital, Athens, Greece
| | - Ilias Maglogiannis
- Computational Biomedicine Research Lab, Department of Digital Systems, University of Piraeus, Piraeus, Greece
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Uddin MA, Stranieri A, Gondal I, Balasubramanian V. A Patient Agent to Manage Blockchains for Remote Patient Monitoring. Stud Health Technol Inform 2018; 254:105-115. [PMID: 30306963] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Abstract
Continuous monitoring of patient's physiological signs has the potential to augment traditional medical practice, particularly in developing countries that have a shortage of healthcare professionals. However, continuously streamed data presents additional security, storage and retrieval challenges and further inhibits initiatives to integrate data to form electronic health record systems. Blockchain technologies enable data to be stored securely and inexpensively without recourse to a trusted authority. Blockchain technologies also promise to provide architectures for electronic health records that do not require huge government expenditure that challenge developing nations. However, Blockchain deployment, particularly with streamed data challenges existing Blockchain algorithms that take too long to place data in a block, and have no mechanism to determine whether every data point in every stream should be stored in such a secure way. This article presents an architecture that involves a Patient Agent, coordinating the insertion of continuous data streams into Blockchains to form an electronic health record.
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Affiliation(s)
- Md Ashraf Uddin
- Internet Commerce Security Lab and Centre for Informatics and Applied Optimisation, Federation University, Ballarat, Victoria, Australia
| | - Andrew Stranieri
- Internet Commerce Security Lab and Centre for Informatics and Applied Optimisation, Federation University, Ballarat, Victoria, Australia
| | - Iqbal Gondal
- Internet Commerce Security Lab and Centre for Informatics and Applied Optimisation, Federation University, Ballarat, Victoria, Australia
| | - Venki Balasubramanian
- Internet Commerce Security Lab and Centre for Informatics and Applied Optimisation, Federation University, Ballarat, Victoria, Australia
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