#Telemonitoring

JMIR Publications

@jmirpub.bsky.social

2 months ago

Prediction of Respiratory Decompensation in Patients Receiving Home Mechanical Ventilation: Machine Learning Model Development and Validation Study Background: Chronic respiratory diseases often require long-term ventilatory support, leading to a growing number of patients treated with home mechanical ventilation (HMV). Despite advancements in telemonitoring with real-time tracking of non-invasive mechanical ventilation (NIMV) enabled by integrated software in HMV devices, early signs of respiratory decompensation may go unnoticed, leading to emergency visits and hospitalizations, which burden both patients and healthcare systems. Objective: The objective of this study is to develop and evaluate a machine learning-based model capable of predicting respiratory decompensation events, defined as emergency visits or hospitalizations due to acute deterioration in the patient’s underlying respiratory condition. These events reflect episodes of worsening respiratory status that require urgent medical attention. The model uses data from HMV telemonitoring platforms, with the aim of improving patient outcomes. Methods: This retrospective study analyzed data from 482 HMV patients monitored via ResMed, Philips, and Breas platforms, collected between March 2021 and November 2024 at Germans Trias i Pujol Hospital in Catalonia (HUGTiP), Spain. Data included device usage, compliance, mask leakage, and ventilator settings. Decompensation was defined as emergency department visits or hospitalizations. A windowing strategy captured the five weeks prior to events. Multiple machine learning models were trained using grid search to identify the optimal hyperparameters, prioritizing recall in order to minimize false negatives. Models were evaluated using 10-fold cross-validation. Finally, Shapley additive explanations (SHAP) were used for model interpretability. Results: The final dataset included 157 data windows, balanced for positive and negative cases. Among the models tested, logistic regression (LR) achieved the highest recall (0.94 ± 0.06 [0.90-0.98]) though with moderate accuracy (0.60 ± 0.05 [0.56-0.64]). The random forest classifier (RFC) achieved the best balance across metrics (accuracy: 0.66 ± 0.10 [0.59-0.73]; recall: 0.78 ± 0.15 [0.67-0.89]; F1 score: 0.70 ± 0.10 [0.63-0.77]). SHAP analysis revealed that higher usage, leakage, and compliance in the week before a decompensation event were key predictors, suggesting compensatory behavior or early clinical deterioration. Overall performance remained moderate, reflecting limitations in sample size, incomplete longitudinal records for daily data, and the absence of key physiological measurements. Conclusions: This study demonstrates the #feasibility of predicting respiratory decompensation using data from HMV telemonitoring systems. Tree-based ensemble models, particularly random forests, provided the most balanced performance, while SHAP analysis offered clinically relevant insights. Although performance was moderate, the findings support further development of predictive tools to enable timely telemedical interventions. Limitations include sample size, missing physiological parameters, and single-center design. Future research should expand to multicenter datasets and incorporate additional clinical variables to enhance model robustness and generalizability.

JMIR Formative Res: Prediction of Respiratory Decompensation in Patients Receiving Home Mechanical Ventilation: Machine Learning Model Development and Validation Study #RespiratoryHealth #HomeMechanicalVentilation #MachineLearning #Telemonitoring #ChronicDiseases

GetNews.me

@getnews-me.bsky.social

5 months ago

New Framework Boosts Noise Robustness for Parkinson's Telemonitoring

NoRo framework keeps UPDRS predictions accurate from speech recordings despite patient, environmental or transmission noise, via contrastive feature augmentation. Submitted 2 Oct 2025. getnews.me/new-framework-boosts-noi... #noro #telemonitoring

GetNews.me

@getnews-me.bsky.social

5 months ago

Patient Views on Telemonitoring in Colorectal Cancer Prehab

Five patients who completed a colorectal cancer prehabilitation program reported telemonitoring boosted support and motivation, though they voiced concerns about data accuracy. getnews.me/patient-views-on-telemon... #colorectalcancer #telemonitoring

JMIR Publications

@jmirpub.bsky.social

9 months ago

Association of Technology-Related Skills and Self-Efficacy With Willingness to Participate in Heart Failure Telemonitoring: Cross-Sectional Observational Study Background: The adoption of telemonitoring in patients with heart failure (HF) is influenced by technology-related skills and self-efficacy, as well as psychological, clinical and demographic factors. However, the relative importance of these factors with regard to willingness to use telemonitoring is insufficiently understood. Objective: This cross-sectional study examines the extent to which technology-related skills and self-efficacy are related to willingness to participate in telemonitoring in patients with HF. Methods: Patients completed questionnaires during hospitalisation. Associations of technological skills and self-efficacy with willingness to participate in telemonitoring (dichotomous and continuous scale) were examined using regression models. Mediation-moderation analyses were used to investigate the role of self-efficacy in the association of technological skills with willingness to participate. Results: This study recruited 61 patients with HF admitted for decompensated HF (mean age 79.9±9.5 years; 24 women). Higher levels of technological skills were associated with higher willingness to participate in telemonitoring (OR=1.073 per scale unit; 95%CI[1.031,1.117]). Technological self-efficacy and learnability were also related to willingness to participate (OR=1.141; 95%CI[1.039,1.252]; OR=1.029; 95%CI[1.006,1.052]), but did not mediate the association of technological skills with willingness to participate in telemonitoring. Psychological factors (anxiety, depressive symptoms, and perceived social support), age and cognitive/physical functioning did not moderate the association of technological skills with participation in telemonitoring. Conclusions: Technological skills, self-efficacy and learnability are interrelated factors that need to be considered in patients with HF who are eligible for telemonitoring. Future intervention studies that target these factors could increase patients’ willingness and competence in using telemonitoring after admission for heart failure.

JMIR Formative Res: Association of Technology-Related Skills and Self-Efficacy With Willingness to Participate in Heart Failure Telemonitoring: Cross-Sectional Observational Study #Telemonitoring #HeartFailure #HealthTech #PatientCare #SelfEfficacy

@rcatanho.bsky.social

9 months ago

Effectiveness and safety of telemonitoring compared with standard of care in people with type 2 diabetes treated with insulin: a national multicenter randomized controlled trial The trial demonstrated that telemonitoring is superior to standard of care in T2D for improving glycemic control.

Telemonitorización es superior al estándar de atención en la diabetes tipo 2 para mejorar el control glucémico. #telemonitoring #T2D www.ejinme.com/article/S095...

JMIR Publications

@jmirpub.bsky.social

9 months ago

Impact of 12-Month #mHealth Home #Telemonitoring on Clinical Outcomes in Older Individuals With Hypertension and Type 2 #Diabetes: Multicenter Randomized Controlled Trial Background: As the population ages, the prevalence of chronic diseases such as arterial hypertension (AH) and type 2 #Diabetes (T2D) is increasing, posing challenges for effective management in primary care settings. Although #Mobile #Health (#mHealth) home #Telemonitoring offers promising support, evidence regarding its clinical impact on older patients is limited. Objective: To evaluate the impact of 12-month #Telemonitoring on clinical outcomes in older individuals with AH and T2D compared to standard care in a primary care setting. Methods: In a multicenter, open-label, randomized controlled trial, individuals aged 65 years or older with AH and T2D were randomly assigned in a 1:1 ratio to either a #Telemonitoring group or a standard care group. The #Telemonitoring group received #mHealth support in addition to standard care. Over 12 months, participants measured blood pressure (BP) twice weekly with two consecutive readings each morning and evening, using the second reading as valid. Blood glucose (BG) was measured monthly, both fasting and 90 minutes after meal. Abnormal results triggered a 7-day BP or 1-day BG profile or a #Teleconsultation with a general practitioner. Meanwhile, the control group received routine care based on integrated care protocols at community #Health centers. Primary outcomes were the differences between groups in the change in systolic BP (SBP) and HbA1c levels at 12 months after inclusion from baseline. Secondary outcomes included changes in diastolic BP, fasting BG, lipid profile, body mass index, appraisal of #Diabetes, and behavioral risk factors. Results: Initially, 128 patients were enrolled, with 117 (91.4%) completing the 12-month follow-up. The mean age was 71.3±4.7 years, with a mean SBP of 136.7±14.1 mmHg and mean HbA1c of 7.2±1.0%. There were no significant sociodemographic or clinical differences between groups at baseline. At 12 months, the #Telemonitoring group experienced significant reductions in SBP (-9.7 mmHg, 95% CI -12.6 to -6.8, P

New in JMIR mhealth: Impact of 12-Month #mHealth Home #Telemonitoring on Clinical Outcomes in Older Individuals With Hypertension and Type 2 #Diabetes: Multicenter Randomized Controlled Trial

Dr. M. Haegele

@medinfode.bsky.social

9 months ago

KI soll Krankheiten an der Stimme erkennen Der Klang der Stimme weist auf Krankheiten hin, was sich bisher aber nur im Labor zeigt. Eine KI soll beim Telemonitoring Herzkranker Stimmanalyse betreiben.

KI soll #Krankheiten an der Stimme erkennen. Der Klang der Stimme weist auf Krankheiten hin, was sich bisher aber nur im Labor zeigt. Eine KI soll beim #Telemonitoring Herzkranker #Stimmanalyse betreiben. www.heise.de/hinterg... #künstlicheIntelligenz

JMIR Publications

@jmirpub.bsky.social

10 months ago

New in JMIR: Decision-Making Process of Home and Social Care Professionals Using #Telemonitoring of Activities of Daily Living for Risk Assessment: Embedded Mixed Methods Multiple-Case #Study

ICT&health

@icthealth.nl

11 months ago

Saxenburgh geeft patiënten met COPD eigen regie met Thuismeten-app | ICT&health Met de app Thuismeten voeren patiënten wekelijks hun gezondheidsgegevens in, zoals de mate van kortademigheid, de slijmproductie en het zuurstofgehalte.

Saxenburgh zet de Thuismeten-app in voor patiënten met COPD, zodat zij hun gezondheid thuis kunnen monitoren. Longarts Alwin Bouter: “Dit helpt longaanvallen en ziekenhuisopnames te voorkomen.” Patiënten hebben alleen een smartphone nodig. #zorg #COPD #telemonitoring #innovatie

JMIR Publications

@jmirpub.bsky.social

1 year ago

New in JMIR: #Smartphone #mHealth-Based #Telemonitoring for Better Oral Health With Toothbrushes: 6-Month #RCT #ClinicalTrial

JMIR Publications

@jmirpub.bsky.social

1 year ago

Barriers and Facilitators in Implementing a #Telemonitoring Application for Patients With Chronic Kidney Disease and #Health Professionals: Ancillary Implementation Study of the NeLLY (New #Health… Background: The use of #Telemonitoring to manage renal function in patients with chronic kidney disease (CKD) is recommended by #Health authorities. However, despite these recommendations, the adoption of #Telemonitoring by both #Health care professionals…

New in JMIR mhealth: Barriers and Facilitators in Implementing a #Telemonitoring Application for Patients With Chronic Kidney Disease and #Health Professionals: Ancillary Implementation Study of the NeLLY (New #Health e-Link in the Lyon Region) Stepped-Wedge Randomized Controlled Trial

JMIR Publications

@jmirpub.bsky.social

1 year ago

Behavioral Factors Related to Participation in Remote Blood Pressure Monitoring Among Adults With Hypertension: Cross-Sectional Study Background: People with hypertension (HTN) involved in telemonitoring of blood pressure (BP) often have better BP control than those in usual care. Objective: This study aimed to assess participant characteristics and technology health behaviors…

JMIR Formative Res: Behavioral Factors Related to Participation in Remote Blood Pressure Monitoring Among Adults With Hypertension: Cross-Sectional Study #Hypertension #BloodPressure #Telemonitoring #HealthTech #RemoteMonitoring

JMIR Publications

@jmirpub.bsky.social

1 year ago

ICYMI: Organizing #Telemonitoring: a Dutch Case #Study on Decision-Making between Centralized and Distributed Models, Using the NASSS Framework (preprint) #openscience #PeerReviewMe #PlanP

JMIR Publications

@jmirpub.bsky.social

1 year ago

ICYMI: Organizing #Telemonitoring: a Dutch Case #Study on Decision-Making between Centralized and Distributed Models, Using the NASSS Framework (preprint) #openscience #PeerReviewMe #PlanP

JMIR Publications

@jmirpub.bsky.social

1 year ago

#Telemonitoring for Chronic Heart Failure: Narrative Review of the 20-Year Journey From Concept to Standard Care in Germany Background: Chronic heart failure (CHF) is a major cause of morbidity and mortality worldwide, placing a significant burden on #HealthCare systems. The concept of #Tele#Medicine for CHF was first introduced in the late 1990s, and since 2010, studies have…

New in JMIR: #Telemonitoring for Chronic Heart Failure: Narrative Review of the 20-Year Journey From Concept to Standard Care in Germany

JMIR Publications

@jmirpub.bsky.social

1 year ago

Organizing #Telemonitoring: a Dutch Case #Study on Decision-Making between Centralized and Distributed Models, Using the NASSS Framework (preprint) #openscience #PeerReviewMe #PlanP

JMIR Publications

@jmirpub.bsky.social

1 year ago

Organizing #Telemonitoring: a Dutch Case #Study on Decision-Making between Centralized and Distributed Models, Using the NASSS Framework (preprint) #openscience #PeerReviewMe #PlanP

Phyllis Murphie

@rncmurphie.bsky.social

1 year ago

Interested in all things respiratory but particularly Sleep disordered breathing. If this is your thing then let’s connect

#osa #cpap #telemonitoring #teleconsultation

Dr. M. Haegele

@medinfode.bsky.social

1 year ago

Telemonitoring soll Teil des DMP Herzinsuffizienz werden Berlin – Der Gemeinsame Bundesausschuss (G-BA) hat heute die Aktualisierung der Anforderungen-Richtlinie zum Disease Management Programm (DMP) Herzinsuffizienz... #DMP #Herzinsuffizienz

#Telemonitoring soll Teil des #DMP #Herzinsuffizienz werden www.aerzteblatt.de/n...

Dr. M. Haegele

@medinfode.bsky.social

2 years ago

#Bertelsmann Investments investiert 5 Mio. € in das #Startup #Doccla, einem Anbieter von virtuellen #Krankenhaus-Plattformen für #Telemonitoring. Doccla ermöglicht effektive und unkomplizierte medizinische Fernüberwachung von PatientInnen. www.krankenhaus-it.de/item.2912/be...