scholarly journals Results from Telehealth

2021 ◽  
Author(s):  
Malcolm Clarke

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.

2007 ◽  
Vol 3 (1) ◽  
pp. 123 ◽  
Author(s):  
Tanja Bratan ◽  
Jyoti Choudrie ◽  
Malcolm Clarke ◽  
Russell Jones ◽  
Andrew Larkworthy

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.


2021 ◽  
Author(s):  
Sachin Shailendra Shah ◽  
Afsana Safa ◽  
Kuldhir Johal ◽  
Dillon Obika ◽  
Sophie Valenine

Abstract Background COVID-19 has placed unprecedented strain on healthcare providers, in particular, primary care services. GP practices have to effectively manage patients remotely preserving social distancing. We aim to assess an app-based remote patient monitoring solution in reducing the workload of a clinician. Primary care COVID patients in West London deemed medium risk where recruited into the virtual ward. Patients were monitored for 14 days by telephone or by both the Huma app and telephone. Information on number of phone calls, duration of phone calls and duration of time spent reviewing the app data recorded.Results The amount of time spent reviewing one patient on the telephone only arm of the study was 490 minutes, compared with 280 minutes spent reviewing one patient who was monitored via both the Huma app and telephone. Based on employed clinicians monitoring patients, this equates to a 0.04 reduction of full-time equivalent staffing I.e. for every 100 patients, it would require 4 less personal to remotely monitor them. There was no difference in mortality or adverse events between the two groups.Conclusion App-based remote patient monitoring clearly holds large economic benefit to COVID-19 patients. In wake of further waves or future pandemics, and even in routine care, app-based remote monitoring patients could free up vital resources in terms of clinical team’s time, allowing a better reallocation of services.


Author(s):  
Ashley Elizabeth Muller ◽  
Rigmor C. Berg ◽  
Patricia Sofia Jacobsen Jardim ◽  
Trine Bjerke Johansen ◽  
Sari Susanna Ormstad

2018 ◽  
Author(s):  
Wanrudee Isaranuwatchai ◽  
Olwen Redwood ◽  
Adrian Schauer ◽  
Tim Van Meer ◽  
Jonathan Vallée ◽  
...  

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.


2020 ◽  
Author(s):  
Alexander Garyfallos

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.


2020 ◽  
Vol 143 ◽  
pp. 104267
Author(s):  
Morgan Hampton Randall ◽  
Zachary Merle Haulsee ◽  
Jingwen Zhang ◽  
Justin Marsden ◽  
William Patrick Moran ◽  
...  

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