Objective To identify the barriers and facilitators for sustainability of tele‐homecare programs
implemented by home health nursing agencies for chronic disease management. Data …

Patient-generated data is increasingly common in chronic disease care management.
Smartphone applications and wearable sensors help patients more easily collect health …

Background Multimorbidity in heart failure (HF), defined as HF of any aetiology and multiple
concurrent conditions that require active management, represents an emerging problem …

Background The quantified self, self-monitoring or life-logging movement is a trend to
incorporate technology into data acquisition on aspects of a person's daily life in terms of …

Patient-generated data can allow patients and providers to collaboratively develop accurate
diagnoses and actionable treatment plans. Unfortunately, patients and providers often lack …

This study explored the use of unsupervised machine learning to identify subgroups of
patients with heart failure who used telehealth services in the home health setting, and …

Hospitalizations are common in heart failure (HF). Multimorbidity, defined as≥ 2 comorbid
conditions, drives many readmissions. The purpose of this pilot study was to test the …

Background Home telemonitoring (HTM) of chronic heart failure (HF) promises to improve
care by timely indications when a patient's condition is worsening. Simple rules of sudden …

Background: Telehealth data overload through high alert generation is a significant barrier
to sustained adoption of telehealth for managing HF patients. Objective: To explore the …

The novel coronavirus disease 2019 (COVID-19) pandemic poses a major threat to the US
healthcare system, from acute to postacute care. As many hospitals across the country focus …