scholarly journals Remote monitoring and digital health tools in CVD management

2021 ◽  
Author(s):  
Martin R. Cowie ◽  
Carolyn S. P. Lam
Keyword(s):  
Remote Monitoring ◽  
Digital Health

Digital Health Technologies for Remote Monitoring and Management of Inflammatory Bowel Disease: A Systematic Review

2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Nghia H. Nguyen ◽  
Ivonne Martinez ◽  
Ashish Atreja ◽  
Amy M. Sitapati ◽  
William J. Sandborn ◽  
...  
Keyword(s):  
Systematic Review ◽  
Inflammatory Bowel Disease ◽  
Bowel Disease ◽  
Remote Monitoring ◽  
Digital Health ◽  
Health Technologies ◽  
Inflammatory Bowel

scholarly journals A Vendor-Independent Mobile Health Monitoring Platform for Digital Health Studies: Development and Usability Study (Preprint)

2018 ◽  
Author(s):  
Thijs Vandenberk ◽  
Valerie Storms ◽  
Dorien Lanssens ◽  
Hélène De Cannière ◽  
Christophe JP Smeets ◽  
...  
Keyword(s):  
Mobile Health ◽  
Remote Monitoring ◽  
Health Research ◽  
User Authentication ◽  
Digital Health ◽  
Real Life ◽  
Building Blocks ◽  
Third Party ◽  
Technological Advances ◽  
Research Platform

BACKGROUND Medical smartphone apps and mobile health devices are rapidly entering mainstream use because of the rising number of smartphone users. Consequently, a large amount of consumer-generated data is being collected. Technological advances in innovative sensory systems have enabled data connectivity and aggregation to become cornerstones in developing workable solutions for remote monitoring systems in clinical practice. However, few systems are currently available to handle such data, especially for clinical use. OBJECTIVE The aim of this study was to develop and implement the digital health research platform for mobile health (DHARMA) that combines data saved in different formats from a variety of sources into a single integrated digital platform suitable for mobile remote monitoring studies. METHODS DHARMA comprises a smartphone app, a Web-based platform, and custom middleware and has been developed to collect, store, process, and visualize data from different vendor-specific sensors. The middleware is a component-based system with independent building blocks for user authentication, study and patient administration, data handling, questionnaire management, patient files, and reporting. RESULTS A prototype version of the research platform has been tested and deployed in multiple clinical studies. In this study, we used the platform for the follow-up of pregnant women at risk of developing pre-eclampsia. The patients’ blood pressure, weight, and activity were semi-automatically captured at home using different devices. DHARMA automatically collected and stored data from each source and enabled data processing for the end users in terms of study-specific parameters, thresholds, and visualization. CONCLUSIONS The increasing use of mobile health apps and connected medical devices is leading to a large amount of data for collection. There has been limited investment in handling and aggregating data from different sources for use in academic and clinical research focusing on remote monitoring studies. In this study, we created a modular mobile health research platform to collect and integrate data from a variety of third-party devices in several patient populations. The functionality of the platform was demonstrated in a real-life setting among women with high-risk pregnancies.

scholarly journals The Digital Neurologic Examination

2021 ◽  
Vol 5 (1) ◽  
pp. 114-126
Author(s):  
Adam B. Cohen ◽  
Brain V. Nahed
Keyword(s):  
Clinical Assessment ◽  
Remote Monitoring ◽  
Care Delivery ◽  
Digital Health ◽  
Full Scale ◽  
Digital Tools ◽  
Neurologic Examination ◽  
History Taking

Digital health has been rapidly thrust into the forefront of care delivery. Poised to extend the clinician’s reach, a new set of examination tools will redefine neurologic and neurosurgical care, serving as the basis for the <i>digital neurologic examination</i>. We describe its components and review specific technologies, which move beyond traditional video-based telemedicine encounters and include separate digital tools. A future suite of these clinical assessment technologies will blur the lines between history taking, examination, and remote monitoring. Prior to full-scale implementation, however, much more investigation is needed. Because of the nascent state of the technologies, researchers, clinicians, and developers should establish digital neurologic examination requirements in order to maximize its impact.

scholarly journals Impact on Readmission Reduction Among Heart Failure Patients Using Digital Health Monitoring: Feasibility and Adoptability Study (Preprint)

2019 ◽  
Author(s):  
Christopher Park ◽  
Emamuzo Otobo ◽  
Jennifer Ullman ◽  
Jason Rogers ◽  
Farah Fasihuddin ◽  
...  
Keyword(s):  
Heart Failure ◽  
Health Monitoring ◽  
Remote Monitoring ◽  
Vital Sign ◽  
Readmission Rate ◽  
Health Program ◽  
Digital Health ◽  
Remote Monitoring System ◽  
Mount Sinai ◽  
Heart Health Program

BACKGROUND Heart failure (HF) is a condition that affects approximately 6.2 million people in the United States and has a 5-year mortality rate of approximately 42%. With the prevalence expected to exceed 8 million cases by 2030, projections estimate that total annual HF costs will increase to nearly US $70 billion. Recently, the advent of remote monitoring technology has significantly broadened the scope of the physician’s reach in chronic disease management. OBJECTIVE The goal of our program, named the Heart Health Program, was to examine the feasibility of using digital health monitoring in real-world home settings, ascertain patient adoption, and evaluate impact on 30-day readmission rate. METHODS A digital medicine software platform developed at Mount Sinai Health System, called RxUniverse, was used to prescribe a digital care pathway including the HealthPROMISE digital therapeutic and iHealth mobile apps to patients’ personal smartphones. Vital sign data, including blood pressure (BP) and weight, were collected through an ambulatory remote monitoring system that comprised a mobile app and complementary consumer-grade Bluetooth-connected smart devices (BP cuff and digital scale) that send data to the provider care teams. Care teams were alerted via a Web-based dashboard of abnormal patient BP and weight change readings, and further action was taken at the clinicians’ discretion. We used statistical analyses to determine risk factors associated with 30-day all-cause readmission. RESULTS Overall, the Heart Health Program included 58 patients admitted to the Mount Sinai Hospital for HF. The 30-day hospital readmission rate was 10% (6/58), compared with the national readmission rates of approximately 25% and the Mount Sinai Hospital’s average of approximately 23%. Single marital status (<italic>P</italic>=.06) and history of percutaneous coronary intervention (<italic>P</italic>=.08) were associated with readmission. Readmitted patients were also less likely to have been previously prescribed angiotensin-converting enzyme inhibitors or angiotensin II receptor blockers (<italic>P</italic>=.02). Notably, readmitted patients utilized the BP and weight monitors less than nonreadmitted patients, and patients aged younger than 70 years used the monitors more frequently on average than those aged over 70 years, though these trends did not reach statistical significance. The percentage of the 58 patients using the monitors at least once dropped from 83% (42/58) in the first week after discharge to 46% (23/58) in the fourth week. CONCLUSIONS Given the increasing burden of HF, there is a need for an effective and sustainable remote monitoring system for HF patients following hospital discharge. We identified clinical and social factors as well as remote monitoring usage trends that identify targetable patient populations that could benefit most from integration of daily remote monitoring. In addition, we demonstrated that interventions driven by real-time vital sign data may greatly aid in reducing hospital readmissions and costs while improving patient outcomes.

scholarly journals Why is the Standardization of Telehealth Services Important in the Context of Digital Health Strategies, Especially During the Covid-19 Epidemic?

2021 ◽  
Author(s):  
Neja Samar Brenčič ◽  
Malcolm Fisk
Keyword(s):  
Remote Monitoring ◽  
Service Provision ◽  
Digital Health ◽  
Frame Of Reference ◽  
Health Service Provision ◽  
Rapid Changes ◽  
Health Support ◽  
Remote Health ◽  
Variable Quality

In order to ensure that the quality of telehealth services is adequate, the use of standards is indispensable. Telehealth offers remote monitoring and embraces those aspects of telemedicine where communication takes place directly with patients. Both come within the broader frame of reference that is offered by the term digital health. However, there are relatively few standards for services in the field of digital health. This means that standardization institutions and user associations should work together in the development of appropriate standards. Those standards that do exist are of variable quality and only sometimes utilized. However, in a context of rapid changes in technologies and service configurations, they will carry increasing importance within health strategies and practice frameworks; and will be in need of greater enforcement. In this paper, we will emphasise the importance of standards for remote health support and medical treatment. We will offer some examples of standards relating to digital health in European and internationally. We offer definitions for remote health service provision that relate, in particular, to the needs of older people; and set out some of the benefits of standardization of telehealth and telemedicine services within eHealth strategies.

Investigating the use of digital health technology to monitor Covid-19 and its effects: Protocol for Covid Collab, an observational study (Preprint)

2021 ◽  
Author(s):  
Callum Stewart ◽  
Yatharth Ranjan ◽  
Pauline Conde ◽  
Zulqarnain Rashid ◽  
Heet Sangkesara ◽  
...  
Keyword(s):  
Remote Monitoring ◽  
Digital Health ◽  
Acute Infection ◽  
Well Being ◽  
Mental Wellbeing ◽  
Mobile Phone Data ◽  
Being There ◽  
Monitoring Technologies ◽  
The Impact ◽  
Mental Well Being

BACKGROUND The ubiquity of mobile phones and increasing use of wearable fitness trackers offers a wide-ranging window into people’s health and well-being. There are clear advantages in using remote monitoring technologies to gain an insight into health, particularly under the shadow of the current COVID-19 pandemic. OBJECTIVE The Covid Collab study was set up to investigate the feasibility of identifying, monitoring, and understanding the stratification of COVID-19 infection and recovery through remote monitoring technologies. Additionally, we will assess the impact of the COVID-19 pandemic and associated social measures on people’s behaviour, physical health, and mental well-being. METHODS Participants remotely enrolled on the study through the Mass Science app to donate both historic and prospective mobile phone data, fitness tracking wearable data, and regular COVID-19 and mental health related surveys. Data is being recorded for the period of the pandemic, notably including pre, during and post acute infection phase. We plan to carry out analyses in several areas, covering symptomatology, risk factors, machine learning-based classification of illness, and trajectories of recovery, mental well-being, and activity. RESULTS Covid Collab is a crowdsourced study using remote monitoring technologies to investigate the COVID-19 pandemic. As of June 2021 there are over 17000 participants, largely from the United Kingdom, with enrolment ongoing. CONCLUSIONS This paper introduces a remotely enrolled crowd-sourced study recording mobile health data throughout the COVID-19 pandemic. The data collected may help investigate a variety of areas, including COVID-19 disease progression, mental wellbeing during the pandemic, and adherence of remote, digitally enrolled participants.

Management of Obese Pediatric Patients in the Digital Era

2019 ◽  
pp. 72-97
Author(s):  
Elpis Vlachopapadopoulou ◽  
Eleni I. Georga ◽  
Dimitrios I. Fotiadis
Keyword(s):  
Childhood Obesity ◽  
Remote Monitoring ◽  
Weight Control ◽  
Digital Health ◽  
Health Interventions ◽  
Childhood And Adolescence ◽  
Digital Era ◽  
Global Health Issue ◽  
Life Threatening ◽  
Motivational Approaches

In this chapter, state of the art in mHealth solutions for monitoring and treatment of children suffering from obesity is presented and discussed. mHealth solutions are used for self-management, remote monitoring, and counseling of several chronic conditions including diabetes mellitus, heart failure, Parkinson's disease, etc. Concerning childhood obesity, those solutions can combine targeted games and motivational approaches towards both physical activity and diet, which could help in addressing this serious and global health issue in the direction of minimizing co-morbidities and eventually preventing serious, life-threatening events. Management of obese children requires behavior change. Multi-component intervention programs via a mobile platform can play a significant role in weight control during childhood and adolescence. In continuation of the chapter, the authors report on the newest advances in the field of digital health interventions addressing childhood obesity.

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