Remote Patient Monitoring in Cardiac Rhythm Management – An Imminent Change for Device Follow-up

2007 ◽  
Vol 3 (2) ◽  
pp. 94
Author(s):  
Dominic AMJ Theuns ◽  
Luc J Jordaens ◽  
◽  
Keyword(s):  
Cardiac Rhythm ◽  
Patient Monitoring ◽  
Remote Patient Monitoring ◽  
Remote Patient

scholarly journals How to Design a Remote Patient Monitoring System A French Case Study

2020 ◽  
Author(s):  
Marie Ferrua ◽  
Etienne Minvielle ◽  
Aude Fourcade ◽  
Benoît Lalloué ◽  
Claude Sicotte ◽  
...  
Keyword(s):  
Design Process ◽  
Multidisciplinary Team ◽  
Health Care Professionals ◽  
Patient Monitoring ◽  
Healthcare Professionals ◽  
Treatment Compliance ◽  
Remote Patient Monitoring ◽  
Study Results ◽  
Remote Patient

Abstract Background Remote Patient Monitoring Systems (RPMS) based on e-health, Nurse Navigators (NNs) and patient engagement can improve patient follow-up and have a positive impact on quality of care (by limiting adverse events) and costs (by reducing readmissions). However, the extent of this impact depends on effective implementation which is often restricted. This is partly due to the lack of attention paid to the RPMS design phase prior to implementation. The content of the RPMS can be carefully designed at this stage and various obstacles anticipated. Our aim was to report on an RPMS process design to provide an insight into the methodology required in order to manage this phase and the ultimate outcome in terms of RPMS content. Methods This study was carried out at Gustave Roussy, a comprehensive cancer centre in France. A multidisciplinary team comprising hospital managers, healthcare professionals and health service researchers coordinated the CAPRI RPMS design process (2013-2015). It is based on data collected during eight studies conducted in accordance with the principle framework of the UK Medical Research Council (MRC). This project was approved by the French National Data Protection Authorities. Results Based on the study results, the multidisciplinary team defined strategies for resolving obstacles and risks prior to the implementation of CAPRI. Consequently, the final CAPRI design includes a web app with two interfaces (patient and health care professionals) and two NNs. The NNs provide regular follow-up via telephone and/or email to manage patients' symptoms and toxicity, treatment compliance and care packages. Patients contact the NNs via a secure messaging system. Eighty graduation and orientation algorithms enable NNs to prioritise and decide on the course of action to be taken. Conclusion In our experience, the RPMS design process and, more generally, that of any complex intervention programme, is an important phase that requires a sound methodological basis. This study also suggests that an RPMS is more than a technological innovation. Indeed, it is an organisational innovation, the merits of which will depend on the precise definition given to the action taken by NNs and other healthcare professionals as well as patients throughout their interactions.

scholarly journals Patient perceptions, opinions and satisfaction of telehealth with remote blood pressure monitoring postpartum

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Nicole A. Thomas ◽  
Anna Drewry ◽  
Susan Racine Passmore ◽  
Nadia Assad ◽  
Kara K. Hoppe
Keyword(s):  
Blood Pressure ◽  
Patient Monitoring ◽  
Blood Pressure Monitoring ◽  
Study Endpoint ◽  
Free Text ◽  
Remote Patient Monitoring ◽  
Pressure Monitoring ◽  
Link Type ◽  
Remote Patient

Abstract Background Our aim was to conduct a post participation survey of respondent experiences with in-home remote patient monitoring via telehealth for blood pressure monitoring of women with postpartum hypertension. We hypothesized that the in-home remote patient monitoring application will be implemented with strong fidelity and have positive patient acceptability. Methods This analysis was a planned secondary analysis of a non-randomized controlled trial of telehealth with remote blood pressure patient monitoring for postpartum hypertension compared to standard outpatient monitoring in women with a hypertension-related diagnosis during pregnancy. In collaboration with survey experts, we developed a 41-item web-based survey to assess 1) perception of quality of care received, 2) ease of use/ease to learn the telehealth program, 3) effective orientation of equipment, 4) level of perceived security/privacy utilizing telehealth and 5) problems encountered. The survey included multiple question formats including Likert scale responses, dichotomous Yes/No responses, and free text. We performed a descriptive analysis on all responses and then performed regression analysis on a subset of questions most relevant to the domains of interest. The qualitative data collected through open ended responses was analyzed to determine relevant categories. Intervention participants who completed the study received the survey at the 6-week study endpoint. Results Sixty six percent of respondents completed the survey. The majority of women found the technology fit easily into their lifestyle. Privacy concerns were minimal and factors that influenced this included age, BMI, marital status, and readmissions. 95% of women preferred remote care for postpartum follow-up, in which hypertensive type, medication use and ethnicity were found to be significant factors in influencing location of follow-up. Most women were satisfied with the devices, but rates varied by hypertensive type, infant discharge rates and BMI. Conclusions Postpartum women perceived the telehealth remote intervention was a safe, easy to use method that represented an acceptable burden of care and an overall satisfying method for postpartum blood pressure monitoring. Trial registration ClinicalTrials.gov identification number: NCT03111095 Date of registration: April 12, 2017.

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.

scholarly journals Attitudes of Implanting Physicians about Cardiac Rhythm Management Devices and Their Features

2013 ◽  
Vol 2013 ◽  
pp. 1-6 ◽  
Author(s):  
Darryl A. Elmouchi ◽  
Nagib Chalfoun ◽  
Andre Gauri
Keyword(s):  
Cardiac Rhythm ◽  
Patient Monitoring ◽  
Patient Characteristics ◽  
Management Systems ◽  
Remote Patient Monitoring ◽  
Specific System ◽  
Mr Conditional ◽  
Device Selection ◽  
History Of ◽  
Remote Patient

Modern cardiac rhythm management systems have become increasingly complex. The decision on which specific system to implant in a given patient often rests with the implanting physician. We conducted a multiple-choice survey to assess the opinions and preferences of cardiologists and electrophysiologists who implant and follow cardiac rhythm management systems. Reliability and battery longevity were viewed as the most important characteristics in device selection. Patient characteristics which most affected device choice were pacing indication and life expectancy. Remote technology was used in 47% of pacemaker patients, 64% of ICD patients, and 65% of CRT-D patients, with wireless (radiofrequency) remote patient monitoring associated with higher patient compliance rates (74% versus 64%, resp.). Wireless remote patient management with alerts for atrial tachyarrhythmias was felt to be important by 76% of respondents. When choosing an MR-conditional device, physicians deemed patients with prior orthopedic problems, a history of cancer, or neurological disorders to be more likely to require a future MRI. Device longevity and reliability remain the most important factors which influence device selection. Wireless remote patient monitoring with alerts is considered increasingly important when choosing a specific cardiac rhythm management system to implant.

scholarly journals Remote Patient Monitoring Using Radio Frequency Identification (RFID) Technology and Machine Learning for Early Detection of Suicidal Behaviour in Mental Health Facilities

Sensors ◽  
2021 ◽  
Vol 21 (3) ◽  
pp. 776
Author(s):  
Xiaohui Tao ◽  
Thanveer Basha Shaik ◽  
Niall Higgins ◽  
Raj Gururajan ◽  
Xujuan Zhou
Keyword(s):  
Mental Health ◽  
Machine Learning ◽  
Radio Frequency Identification ◽  
Patient Monitoring ◽  
Vital Signs ◽  
Remote Patient Monitoring ◽  
Rfid Technology ◽  
Rpm System ◽  
Frequency Identification ◽  
Remote Patient

Remote Patient Monitoring (RPM) has gained great popularity with an aim to measure vital signs and gain patient related information in clinics. RPM can be achieved with noninvasive digital technology without hindering a patient’s daily activities and can enhance the efficiency of healthcare delivery in acute clinical settings. In this study, an RPM system was built using radio frequency identification (RFID) technology for early detection of suicidal behaviour in a hospital-based mental health facility. A range of machine learning models such as Linear Regression, Decision Tree, Random Forest, and XGBoost were investigated to help determine the optimum fixed positions of RFID reader–antennas in a simulated hospital ward. Empirical experiments showed that Decision Tree had the best performance compared to Random Forest and XGBoost models. An Ensemble Learning model was also developed, took advantage of these machine learning models based on their individual performance. The research set a path to analyse dynamic moving RFID tags and builds an RPM system to help retrieve patient vital signs such as heart rate, pulse rate, respiration rate and subtle motions to make this research state-of-the-art in terms of managing acute suicidal and self-harm behaviour in a mental health ward.

Leadless and Wireless Cardiac Devices: The Next Frontier in Remote Patient Monitoring

2021 ◽  
Vol 46 (5) ◽  
pp. 100800
Author(s):  
Abdulaziz Joury ◽  
Tamunoinemi Bob-Manuel ◽  
Alexandra Sanchez ◽  
Fnu Srinithya ◽  
Amber Sleem ◽  
...  
Keyword(s):  
Patient Monitoring ◽  
Remote Patient Monitoring ◽  
Cardiac Devices ◽  
Remote Patient
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