Quality Management of Patient Generated Health Data from Wearables: Development of a Guideline for Remote Patient Monitoring (Preprint)

2021 ◽  
Author(s):  
Robab Abdolkhani ◽  
Kathleen Gray ◽  
Ann Borda ◽  
Ruth DeSouza
Keyword(s):  
Quality Management ◽  
Health Information ◽  
Health Informatics ◽  
Patient Monitoring ◽  
Clinical Decision Making ◽  
Clinical Care ◽  
Health Data ◽  
Remote Patient Monitoring ◽  
Data Quality Management ◽  
Remote Patient

BACKGROUND Patient-Generated Health Data (PGHD) collected from innovative wearables are enabling healthcare to shift to outside clinical settings through Remote Patient Monitoring (RPM) initiatives. However, PGHD are collected continuously under the patient’s responsibilities in rapidly changing circumstances during the patient’s daily life. This poses risks to the quality of PGHD and, in turn, reduces their trustworthiness and fitness for use in clinical practice. OBJECTIVE Using a socio-technical health informatics lens, this research aimed to investigate how Data Quality Management (DQM) principles can be applied to ensure that PGHD from wearables can reliably inform clinical decision making in RPM. METHODS First, clinicians, health information specialists and MedTech industry representatives with experience in RPM were interviewed to identify DQM challenges. Second, those groups were joined by patients in a workshop to co-design potential solutions to meet the expectations of all stakeholders. Third, the findings along with literature and policy review results, were interpreted to construct a guideline. Finally, we validated the guideline through a Delphi survey of international health informatics and health information management experts. RESULTS The resulting guideline comprised 19 recommendations across seven aspects of DQM. It explicitly addressed the needs of patients and clinicians but implied that there must be collaboration among all stakeholders, to meet these needs. CONCLUSIONS The increasing proliferation of PGHD from wearables in RPM requires a systematic approach to DQM so that these data can be reliably used in clinical care. The developed guideline is a significant next step toward safe RPM.

scholarly journals Blockchain Based Remote Patient Monitoring System

2019 ◽  
Vol 8 (2) ◽  
pp. 111-118
Author(s):  
Bashayer Al-Ahmadi Bashayer Al-Ahmadi
Keyword(s):  
Health Information ◽  
Monitoring System ◽  
Patient Monitoring ◽  
Health Providers ◽  
Remote Patient Monitoring ◽  
Rpm System ◽  
Patient Health ◽  
Patient Monitoring System ◽  
Remote Patient ◽  
Patient Health Information

Remote Patient Monitoring system is an approach of a health care system that enables the patient-user of performing a remote periodical check-up. Unfortunately, these types of systems usually don't provide the advantages of securely sharing the patient health information among different health providers. Many types of research aimed to solve this issue by applying the blockchain technique to the existing patient health information records at hospitals. However; none was found regarding the remote patient monitoring system's generated data. Therefore, this proposal aims to integrate the advantages of blockchain and the Remote Patient Monitoring (RPM) system by building a secure blockchain based RPM system.

scholarly journals Patient-generated health data management and quality challenges in remote patient monitoring

JAMIA Open ◽  
2019 ◽  
Vol 2 (4) ◽  
pp. 471-478 ◽  
Author(s):  
Robab Abdolkhani ◽  
Kathleen Gray ◽  
Ann Borda ◽  
Ruth DeSouza
Keyword(s):  
Quality Assurance ◽  
Data Management ◽  
Remote Monitoring ◽  
Patient Monitoring ◽  
Health Data ◽  
Clinical Settings ◽  
Remote Patient Monitoring ◽  
Monitoring Programs ◽  
Remote Patient ◽  
Promising Source

Abstract Background Patient-Generated Health Data (PGHD) in remote monitoring programs is a promising source of precise, personalized data, encouraged by expanding growth in the health technologies market. However, PGHD utilization in clinical settings is low. One of the critical challenges that impedes confident clinical use of PGHD is that these data are not managed according to any recognized approach for data quality assurance. Objective This article aims to identify the PGHD management and quality challenges that such an approach must address, as these are expressed by key PGHD stakeholder groups. Materials and Methods In-depth interviews were conducted with 20 experts who have experience in the use of PGHD in remote patient monitoring, including: healthcare providers, health information professionals within clinical settings, and commercial providers of remote monitoring solutions. Participants were asked to describe PGHD management processes in the remote monitoring programs in which they are involved, and to express their perspectives on PGHD quality challenges during the data management stages. Results The remote monitoring programs in the study did not follow clear PGHD management or quality assurance approach. Participants were not fully aware of all the considerations of PGHD quality. Digital health literacy, wearable accuracy, difficulty in data interpretation, and lack of PGHD integration with electronic medical record systems were among the key challenges identified that impact PGHD quality. Conclusion Co-development of PGHD quality guidelines with relevant stakeholders, including patients, is needed to ensure that quality remote monitoring data from wearables is available for use in more precise and personalized patient care.

scholarly journals Sensor, Wearable, and Remote Patient Monitoring Competencies for Clinical Care and Training: Scoping Review

2021 ◽  
Author(s):  
Donald M. Hilty ◽  
Christina M. Armstrong ◽  
Amanda Edwards-Stewart ◽  
Melanie T. Gentry ◽  
David D. Luxton ◽  
...  
Keyword(s):  
Scoping Review ◽  
Patient Monitoring ◽  
Clinical Care ◽  
Remote Patient Monitoring ◽  
Remote Patient ◽  
And Training

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

scholarly journals Emerging Role of Remote Patient Monitoring in Pulmonary Care

CHEST Journal ◽  
2021 ◽  
Vol 159 (2) ◽  
pp. 477-478
Author(s):  
Neeraj R. Desai ◽  
Edward J. Diamond
Keyword(s):  
Patient Monitoring ◽  
Remote Patient Monitoring ◽  
Remote Patient
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