Remote Patient Monitoring: Health Status Detection and Prediction in IoT-Based Health Care

2021 ◽  
pp. 89-102
Author(s):  
Azadeh Zamanifar
Keyword(s):  
Health Care ◽  
Health Status ◽  
Patient Monitoring ◽  
Remote Patient Monitoring ◽  
Remote Patient

scholarly journals Tele-Healthcare Unit for Remote Patient Monitoring

2019 ◽  
Vol 9 (2) ◽  
pp. 2902-2904
Keyword(s):  
Health Care ◽  
Patient Monitoring ◽  
Care Patient ◽  
Health Administration ◽  
Remote Patient Monitoring ◽  
Normal Range ◽  
Long Distance ◽  
Health Care Unit ◽  
Professional Health ◽  
Remote Patient

Tele-health is characterized as the usage of electronic data and broadcast using telecommunication advancements to help and advance long-distance clinical medicinal services, patient and expert long-distance clinical health care, patient and professional health education, public healthmonitoring and health administration. In this research, the proposed system that uses Sensors to monitor patient's health and uses internet to alert the practitioner and family members in case of emergency. It is capable of monitoring health status of the patient at home, which is at remote location also. If system identifies any parameter is beyond the normal range temperature, the health care unit gives continuous alertation about the patients’ status over Internet and also shows details of heartbeat & temperature of patient continuously using the IoT.

scholarly journals Results from Telehealth

2021 ◽  
Author(s):  
Malcolm Clarke
Keyword(s):  
Primary Care ◽  
Health Care ◽  
Residential Care ◽  
Home Health Care ◽  
Clinical Setting ◽  
Patient Monitoring ◽  
Clinical Information ◽  
Remote Patient Monitoring ◽  
Wide Range ◽  
Remote Patient

Telemedicine and telehealth have a wide range of definitions and understanding. Telehealth has been described as taking many forms and having many terms to describe its activities such as; home health care, telecare, tele-dermatology, tele-psychiatry, tele-radiology, telemonitoring, and remote patient monitoring. In general, the purpose of telehealth is to acquire information on a patient in one location, make that information available in a separate location, usually for the convenience of the clinician, and then use that information to provide management to a patient, who may be in a further location, through the mediation of a remote clinician, or directly to the patient. Typically this has taken the form of the patient being in their own home or at a clinical establishment remote from the hospital such as the district hospital, remote clinic, and primary care, with clinical information being collected and transferred using technology between locations. This chapter focuses on results from telehealth in the form of remote patient monitoring (RPM), in which data is collected from the patient whilst they are in their own home, or other non-clinical setting such as residential care.

scholarly journals A Remote Patient Monitoring Intervention for Patients With Chronic Obstructive Pulmonary Disease and Chronic Heart Failure: Pre-Post Economic Analysis of the Smart Program (Preprint)

2018 ◽  
Author(s):  
Wanrudee Isaranuwatchai ◽  
Olwen Redwood ◽  
Adrian Schauer ◽  
Tim Van Meer ◽  
Jonathan Vallée ◽  
...  
Keyword(s):  
Health Care ◽  
Health Care Costs ◽  
Patient Monitoring ◽  
Chronic Obstructive ◽  
Remote Patient Monitoring ◽  
Obstructive Pulmonary Disease ◽  
Study Population ◽  
Remote Patient ◽  
Care Costs

BACKGROUND Exacerbation of chronic obstructive pulmonary disease (COPD) and chronic heart failure (CHF) are associated with high health care costs owing to increased emergency room (ER) visits and hospitalizations. Remote patient monitoring (RPM) interventions aim to improve the monitoring of symptoms to detect early deterioration and provide self-management strategies. As a result, RPM aims to reduce health resource utilization. To date, studies have inconsistently reported the benefits of RPM in chronic illnesses. The Smart Program is an RPM intervention that aims to provide clinical benefit to patients and economic benefit to health care payers. OBJECTIVE This study aims to economically evaluate the potential benefits of the Smart Program in terms of hospitalizations and ER visits and, thus, associated health care costs from the perspective of the public health care system. METHODS Seventy-four patients diagnosed with COPD or CHF from one hospital site were included in this one-group, pre-post study. The study involved a secondary data analysis of deidentified data collected during the study period – from 3 months before program initiation (baseline), during the program, to 3 months after program completion (follow-up). Descriptive analysis was conducted for the study population characteristics at baseline, the clinical frailty score at baseline and 3-month follow-up, client satisfaction at 3-month follow-up, and number and costs of ER visits and hospitalizations throughout the study period. Furthermore, the cost of the Smart Program over a 3-month period was calculated from the perspective of the potential implementer. RESULTS The baseline characteristics of the study population (N=74) showed that the majority of patients had COPD (50/74, 68%), were female (42/74, 57%), and had an average age of 72 (SD 12) years. Using the Wilcoxon signed-rank test, the number of ER visits and hospitalizations, including their associated costs, were significantly reduced between baseline and 3-month follow-up (P<.001). The intervention showed a potential 68% and 35% reduction in ER visits and hospitalizations, respectively, between the 3-month pre- and 3-month postintervention period. The average cost of ER visits reduced from Can $243 at baseline to Can $67 during the 3-month follow-up, and reduced from Can $3842 to Can $1399 for hospitalizations. CONCLUSIONS In this study, the number and cost of ER visits and hospitalizations appeared to be markedly reduced for patients with COPD or CHF when comparing data before and after the Smart Program implementation. Recognizing the limitations of the one-group, pre-post study design, RPM requires an upfront investment, but it has the potential to reduce health care costs to the system over time. This study represents another piece of evidence to support the potential value of RPM among patients with COPD or CHF.

Project PROPHET : Brief report of preliminary results

2020 ◽  
Author(s):  
Alexander Garyfallos
Keyword(s):  
Health Care ◽  
Real Time ◽  
Health Care Provider ◽  
Care Provider ◽  
Patient Monitoring ◽  
Vital Signs ◽  
Telecommunication Networks ◽  
Remote Patient Monitoring ◽  
Health Event ◽  
Remote Patient

Abstract Forecasting forthcoming "health events" is an extremely challenging task for the Remote Patient Monitoring systems (RPM systems) sector, which relies in real time information and communication technologies. Remote patient monitoring is a medical service which includes following and observing patients that are not in the same location with their health care provider. In general, the patient is equipped with a “smart” monitoring device, and the recorded data (vital signs) are securely transmitted via telecommunication networks to the health care provider. Modern remote patient monitoring devices are small, discrete and easy to wear, allowing "bearers" to move freely and with comfort. In this framework, MOKAAL pc has developed the IFS_RPM service (Integrated Facilitation Services for Remote Patient Monitoring) supplying the necessary ICT infrastructure, which is necessary for the provision of the RPM services. Following the completion of IFS_RPM project, MOKAAL pc launched a research project under the code name "PROPHETTM" .PROPHETTM main objective is to investigate the possibilities of introducing a real time predicting model based on remotely collected vital signs, that would utilize time series of metric data in conjunction with the information stored in the Electronic Health Records (EHR) of the "bearer", attempting to predict in real time, the probability of a "health event" occurring in the near future.To meet this objective, the PROPHETTM project team designed an evolutionary prototype of the "health event" forecasting model, which was developed and tested in a laboratory environment and it will be upgraded to a working prototype to be tested in real conditions, in order to be incorporated into the IFS_RPM system, after reaching its maturity state.

scholarly journals Remote Patient Monitoring and Telemedicine in Neonatal and Pediatric Settings: Scoping Literature Review (Preprint)

2017 ◽  
Author(s):  
Farzan Sasangohar ◽  
Elise Davis ◽  
Bita A Kash ◽  
Sohail R Shah
Keyword(s):  
Health Care ◽  
Literature Review ◽  
Health Systems ◽  
Systematic Literature Review ◽  
Patient Monitoring ◽  
Small Sample ◽  
Care Providers ◽  
Remote Patient Monitoring ◽  
Pediatric Populations ◽  
Remote Patient

BACKGROUND Telemedicine and telehealth solutions are emerging rapidly in health care and have the potential to decrease costs for insurers, providers, and patients in various settings. Pediatric populations that require specialty care are disadvantaged socially or economically or have chronic health conditions that will greatly benefit from results of studies utilizing telemedicine technologies. This paper examines the emerging trends in pediatric populations as part of a systematic literature review and provides a scoping review of the type, extent, and quantity of research available. OBJECTIVE This paper aims to examine the role of remote patient monitoring (RPM) and telemedicine in neonatal and pediatric settings. Findings can be used to identify strengths, weaknesses, and gaps in the field. The identification of gaps will allow for interventions or research to improve health care quality and costs. METHODS A systematic literature review is being conducted to gather an adequate amount of relevant research for telehealth in pediatric populations. The fields of RPM and telemedicine are not yet very well established by the health care services sector, and definitions vary across health care systems; thus, the terms are not always defined similarly throughout the literature. Three databases were scoped for information for this specific review, and 56 papers were included for review. RESULTS Three major telemedicine trends emerged from the review of 45 relevant papers—RPM, teleconsultation, and monitoring patients within the hospital, but without contact—thus, decreasing the likelihood of infection or other adverse health effects. CONCLUSIONS While the current telemedicine approaches show promise, limited studied conditions and small sample sizes affect generalizability, therefore, warranting further research. The information presented can inform health care providers of the most widely implemented, studied, and effective forms of telemedicine for patients and their families and the telemedicine initiatives that are most cost efficient for health systems. While the focus of this review is to summarize some telehealth applications in pediatrics, we have also presented research studies that can inform providers about the importance of data sharing of remote monitoring data between hospitals. Further reports will be developed to inform health systems as the systematic literature review continues.

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