scholarly journals Applying remote health monitoring to understand users’ QoE in multisensory applications in real-time

Author(s):  
Jordano R. Celestrini ◽  
Estêvão B. Saleme ◽  
Niall Murray ◽  
Rodrigo V. Andreão ◽  
Celso A. S. Santos

User’s Quality of Experience (QoE) understanding from objective metrics has been increasingly explored in multisensory research. However, capturing physiological data adds a degree of difculty to an already complex environment composed of software to reproduce content and actuators to deliver sensory effects. In this paper, we introduce the potential use of remote patient monitoring (RPM) systems to monitor users’ QoE through a specifc tool named HealthDash. We aim to raise discussion around them in digital multisensory experiences, their application, advantages and disadvantages, and challenges and opportunities.

2016 ◽  
Vol 1 (1) ◽  
pp. 40-48 ◽  
Author(s):  
Tejal Shah ◽  
Ali Yavari ◽  
Karan Mitra ◽  
Saguna Saguna ◽  
Prem Prakash Jayaraman ◽  
...  

Author(s):  
Ashley Elizabeth Muller ◽  
Rigmor C. Berg

Abstract Background: Norway is interested in implementing remote patient monitoring (RPM) within primary health services. This systematic review will first identify the types of RPM that are of interest to Norwegian health authorities, then synthesize the effects of RPM on clinical health and health service utilization outcomes among adults with chronic diseases. Methods: We will perform systematic literature searches in multiple databases, using RPM-related searches, such as telemedicine, telemonitoring, and eHealth. Based on what research exists, the review will be selected from a cascading menu of review types. Methodological quality will be assessed through appropriate checklists, while the quality of the evidence will be assessed through Grading of Recommendations Assessment, Development, and Evaluation. Discussion: This flexible protocol specifies the production of different possible types of reviews of RPM. It is anticipated that the results of the review will inform the development of effective RPM programs to the most appropriate chronic disease groups.


2017 ◽  
pp. 1183-1215
Author(s):  
Lea Skorin-Kapov ◽  
Ognjen Dobrijevic ◽  
Domagoj Piplica

The applicability of advanced mobile technologies in the m-Health domain has led to a number of studies and (limited) commercial products supporting delivery of health services to remote users. A key issue regarding successful delivery and acceptance of such services is meeting their Quality of Service (QoS) and Quality of Experience (QoE) requirements, focusing on technical aspects and end user perceived quality, respectively. In this paper, the authors address the topic of evaluating QoE for non-emergency remote patient monitoring services. They identify relevant QoE influence factors and metrics, and present the results of a QoE evaluation study, whereby they focus on usability aspects. The study involves 26 users testing a prototype version of the Ericsson Mobile Health service, which is based on a smartphone application and measurement of vital signs via medical sensors. The results show a strong correlation between QoE and: perceived effectiveness of the mobile interface (regarding both adequacy of smartphone screen size and smartphone application navigational support), perceived ease of conducting a blood pressure measurement task, and user motivation for service usage.


2014 ◽  
Vol 6 (4) ◽  
pp. 59-89 ◽  
Author(s):  
Lea Skorin-Kapov ◽  
Ognjen Dobrijevic ◽  
Domagoj Piplica

The applicability of advanced mobile technologies in the m-Health domain has led to a number of studies and (limited) commercial products supporting delivery of health services to remote users. A key issue regarding successful delivery and acceptance of such services is meeting their Quality of Service (QoS) and Quality of Experience (QoE) requirements, focusing on technical aspects and end user perceived quality, respectively. In this paper, the authors address the topic of evaluating QoE for non-emergency remote patient monitoring services. They identify relevant QoE influence factors and metrics, and present the results of a QoE evaluation study, whereby they focus on usability aspects. The study involves 26 users testing a prototype version of the Ericsson Mobile Health service, which is based on a smartphone application and measurement of vital signs via medical sensors. The results show a strong correlation between QoE and: perceived effectiveness of the mobile interface (regarding both adequacy of smartphone screen size and smartphone application navigational support), perceived ease of conducting a blood pressure measurement task, and user motivation for service usage.


2020 ◽  
Vol 35 (Supplement_3) ◽  
Author(s):  
Massimo Morosetti ◽  
Maria Iolanda Famà

Abstract Background and Aims Home dialysis (both extracorporeal and peritoneal) can improve the management and the quality of life of patients affected by end stage renal disease. Remote patient monitoring (RPM) can improve the care of Patients in home dialysis: RPM may detect early problems, ensure compliance and give both clinicians and patients a sense of reassurance regarding the clinical management. These advantages may translate into improved outcomes and increased uptake on home dialysis therapies. For these reasons, the Doctor Plus® NEPHRO program has been created. Clinical and social advantages derived from remote patient monitoring by the Doctor Plus® NEPHRO program versus the standard of care were evaluated. Method Patients included in the remote monitoring program, by the Nephrology Unit of ASL 3 in Rome (Italy), from July 2017 and April 2019, were analyzed. Each patient was observed for at least 4 months, up to 22 months. Patients received a Doctor Plus® NEPHRO KIT composed by clinical devices to measure systolic and diastolic pressure, heart rate, body weight and oximetry. Clinical data were automatically sent from electronic devices to the HUB included into the provided KIT and from the HUB to the Vree Platform operating at the Nephrology Unit. All devices, included HUB and Vree Platform, were classified as medical device class IIa. The SF-12 questionnaire was also administered by remote nurses and the level of satisfaction with the program Doctor Plus® NEPHRO was evaluated. Results We observed 16 patients (56,3% males, mean age 62 years), 14 in Peritoneal Dialysis and 2 in Home Hemodialysis. A total number of 35.720 clinical measures were collected during the observational period. During this length time, systolic pressure was reduced in 69% of patients and diastolic pressure was reduced in 62,5% of patients. Systolic pressure decreased from 137,8 to 130,2 mmHg (p<0,0002) and diastolic pressure decreased from 80,5 to 76 mmHg (p>0,0002). Mean heart rate decreased in 50% of patients from 69,4 bpm to 68,8 bpm (p<0,0046). During the same period, clinical monitoring generated 58 early clinical interventions: 11 non planned visits at Nephrological Centre and 47 calls from nephrologist to patients (0,5 visits per month and 2,2 calls per month). In 35 cases pharmacological therapy has been modified (in 80% of cases treatment modified was the hypertension therapy). Due to the increase of clinical monitoring, Patients accesses to ER are decreased of 29%. SF-12 questionnaire showed an improvement in the perceived health status in all patients. Reduction of 15% in workdays lost were registered in both patients and caregivers. Conclusion Doctor Plus® NEPHRO resulted as a useful tool for the Nephrology Center in order to monitor patients who performed home dialysis. Data collected by the remote monitoring program have shown an improvement in clinical outcomes and the possibility to prevent some clinical complications thus reducing clinical emergencies and the hospitalization rate. Moreover, the possibility for patients and caregivers to complain with morbidity remaining in a home setting, results in the improvement in quality of life. Finally, the possibility to avoid hospitalizations, emergency accesses and transfers to hemodialysis is important for cost saving with a more appropriate use of healthcare resources.


2021 ◽  
Vol 12 (05) ◽  
pp. 1161-1173
Author(s):  
Wei Ning Chi ◽  
Courtney Reamer ◽  
Robert Gordon ◽  
Nitasha Sarswat ◽  
Charu Gupta ◽  
...  

Abstract Objective We report on our experience of deploying a continuous remote patient monitoring (CRPM) study soft launch with structured cascading and escalation pathways on heart failure (HF) patients post-discharge. The lessons learned from the soft launch are used to modify and fine-tune the workflow process and study protocol. Methods This soft launch was conducted at NorthShore University HealthSystem's Evanston Hospital from December 2020 to March 2021. Patients were provided with non-invasive wearable biosensors that continuously collect ambulatory physiological data, and a study phone that collects patient-reported outcomes. The physiological data are analyzed by machine learning algorithms, potentially identifying physiological perturbation in HF patients. Alerts from this algorithm may be cascaded with other patient status data to inform home health nurses' (HHNs') management via a structured protocol. HHNs review the monitoring platform daily. If the patient's status meets specific criteria, HHNs perform assessments and escalate patient cases to the HF team for further guidance on early intervention. Results We enrolled five patients into the soft launch. Four participants adhered to study activities. Two out of five patients were readmitted, one due to HF, one due to infection. Observed miscommunication and protocol gaps were noted for protocol amendment. The study team adopted an organizational development method from change management theory to reconfigure the study protocol. Conclusion We sought to automate the monitoring aspects of post-discharge care by aligning a new technology that generates streaming data from a wearable device with a complex, multi-provider workflow into a novel protocol using iterative design, implementation, and evaluation methods to monitor post-discharge HF patients. CRPM with structured escalation and telemonitoring protocol shows potential to maintain patients in their home environment and reduce HF-related readmissions. Our results suggest that further education to engage and empower frontline workers using advanced technology is essential to scale up the approach.


2016 ◽  
Vol 2016 ◽  
pp. 1-16 ◽  
Author(s):  
Jarosław Jankowski ◽  
Stanisław Saganowski ◽  
Piotr Bródka

Today, in the digital age, the mobile devices are more and more used to aid people in the struggle to improve or maintain their health. In this paper, the mobile eHealth solution for remote patient monitoring during clinical trials is presented, together with the outcomes of quantitative and qualitative performance evaluation. The evaluation is a third step to improve the quality of the application after earlier Good Clinical Practice certification and validation with the participation of 10 patients and 3 general practitioners. This time the focus was on the usability which was evaluated by the seventeen participants divided into three age groups (18–28, 29–50, and 50+). The results, from recorded sessions and the eye tracking, show that there is no difference in performance between the first group and the second group, while for the third group the performance was worse; however, it was still good enough to complete task within reasonable time.


2021 ◽  
Author(s):  
Crystal Lim

BACKGROUND Pediatric obesity is a critical public health issue in the US. There is a significant need to augment care in multidisciplinary pediatric obesity clinics with innovative evidence-based technology to improve weight status and health outcomes for children needing specialty pediatric obesity treatment. OBJECTIVE This manuscript describes the design and methods of an open trial pilot study to examine a remote patient monitoring system (RPMS) for children, 8 to 17 years of age, receiving treatment in a multidisciplinary pediatric obesity clinic. METHODS Participants will include 45 youth with obesity and their parents. Families will receive standard care in the clinic and the RPMS for three months. The RPMS consists of a tablet, weight scale, and pedometer. The system provides daily educational content and encourages daily use of the pedometer and weekly weigh-ins. Children and parents will complete baseline, post-treatment (Month 3), and follow-up assessments (Month 6). The main aim of the study is to examine feasibility and satisfaction with the RPMS, as well as assess initial effectiveness. RESULTS We hypothesize high feasibility and satisfaction, with rates over 75% and that after the treatment children will exhibit improved weight status, blood pressure, glucose, A1c, dietary intake, physical activity, health-related quality of life, and self-efficacy compared to pre-treatment and parents will report improved child health-related quality of life and home-food environment. These gains are expected to persist at follow-up. CONCLUSIONS This study is novel in that it is the first to design, implement, and examine a RPMS in a pediatric obesity clinic. If the RPMS is feasible, effective, and easily accessible for diverse and underserved families it may prove to be a practical, acceptable, and cost-effective weight management treatment for youth seeking treatment for severe obesity, which has important implications for the future of pediatric obesity treatments. CLINICALTRIAL Clinicaltrials.gov Identifier: NCT04029597


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