Use of Patient-Generated Health Data From Consumer-Grade Devices by Health Care Professionals in the Clinic: Systematic Review.

Background: Mobile health (mHealth) uses mobile technologies to promote wellness and help disease management. Although mHealth solutions used in the clinical setting have typically been medical-grade devices, passive and active sensing capabilities of consumer-grade devices like smartphones and activity trackers have the potential to bridge information gaps regarding patients' behaviors, environment, lifestyle, and other ubiquitous data. Individuals are increasingly adopting mHealth solutions, which facilitate the collection of patient-generated health data (PGHD).

The prognostic value of speckle tracking echocardiography in patients with end stage renal disease on dialysis.

Background: Chronic kidney disease (CKD) is associated with a higher incidence of cardiovascular death especially as the disease progresses and patients are on long-term dialysis treatment. Left ventricular (LV) dysfunction and cardiac deformation measured by speckle tracking echocardiography seem to play an important prognostic role in several different specific populations.

Objective: Τhe prognostic value of strain analysis measurements, including the novel diastolic parameters such as left atrial (LA) strain, in patients with end-stage renal disease on dialysis (stage 5 CKD).

Rehabilitation Needs of Head and Neck Cancer Patients and Stakeholders: Case Study.

Background: The incidents of Head and Neck Cancer (HNC) are rising worldwide, suggesting that this type of cancer is becoming more common. The foreseen growth of incidents signifies that future rehabilitation services will have to meet the needs of a wider population.

Objective: The aim of this paper is to explore the needs of patients, caregivers and healthcare professionals during HNC rehabilitation.

Connected Health User Willingness to Share Personal Health Data: Questionnaire Study.

Background: Connected health has created opportunities for leveraging health data to deliver preventive and personalized health care services. The increasing number of personal devices and advances in measurement technologies contribute to an exponential growth in digital health data. The practices for sharing data across the health ecosystem are evolving as there are more opportunities for using such data to deliver responsive health services.

The Extent and Coverage of Current Knowledge of Connected Health: Systematic Mapping Study.

Background: This study examines the development of the connected health (CH) research landscape with a view to providing an overview of the existing CH research. The research field of CH has experienced rapid growth coinciding with increasing pressure on health care systems to become more proactive and patient centered.

Objective: This study aimed to assess the extent and coverage of the current body of knowledge in CH.

Personal health data: A systematic mapping study.

Background: Personal health data (PHD) research has been intensified over the last years, attracting the attention of scientists from different fields, such as software engineers, computer scientists and medical professionals. The increasing interest of researchers can be attributed to the exponential growth of the available PHD due to the widespread adoption of ubiquitous technology in everyday life, as well as to the potential of the ongoing digital transformation in healthcare. This increasing interest requires that academia has an overview of the published scientific literature to plan future endeavors.