This focused on “Real-Time Detection and Management of Chronic Illnesses” is edited by Dr. Mei R. Fu, from NYU Rory Meyers College of Nursing, New York University, New York, NY, USA.
Real-time detection and management of chronic illnesses
Real-time electronic patient evaluation of lymphedema symptoms, referral, and satisfaction: a cross-sectional study
Apps for individuals diagnosed with breast cancer: a preliminary assessment of the content and quality of commercially available apps in Spanish
The usefulness of the Electronic Patient Visit Assessment (ePVA)© as a clinical support tool for real-time interventions in head and neck cancer
Individualized sleep promotion in acute care hospitals: managing specific factors that affect patient sleep
Usability study of wearable inertial sensors for exergames (WISE) for movement assessment and exercise
The feasibility and acceptability of mobile health monitoring for real-time assessment of traumatic injury outcomes
Evaluation framework for selecting wearable activity monitors for research
Real-time, simulation-enhanced interprofessional education in the care of older adults with multiple chronic comorbidities: a utilization-focused evaluation
Use of technology to facilitate a prospective surveillance program for breast cancer-related lymphedema at the Massachusetts General Hospital
Real-time decision-making in chronic illness branching simulation
The series “Real-Time Detection and Management of Chronic Illnesses” was commissioned by the editorial office, mHealth without any sponsorship or funding. Mei R. Fu served as the unpaid Guest Editor for the series.