A Systematic Review of Personalized Health Applications through Human–Computer Interactions (HCI) on Cardiovascular Health Optimization

Abstract

Introduction: Currently, the deployment of human–computer interactive technologies to provide personalized care has grown and immensely taken shape in most healthcare settings. With the increasing growth of the internet and technology, personalized health interventions including smartphones, associated apps, and other interventions demonstrate prowess in various health fields, including cardiovascular management. This systematic review thus examines the effectiveness of various human–computer interactions technologies through telehealth (mainly eHealth) towards optimizing the outcomes in cardiovascular treatment. Methods: A comprehensive search of MEDLINE, EMBASE, and CINAHL databases using key terms was conducted from 2000 to November 2021 to identify suitable studies that explored the use of human–computer interaction technologies to provide a personalized care approach to facilitate bolstered outcomes for cardiovascular patients, including the elderly. The included studies were assessed for quality and risk of bias, and the authors undertook a data extraction task. Results: Ten studies describing the use of a mix of personalized health app (mHealth) interventions were identified and included in the study. Among the included studies, nine of them were randomized trials. All of the studies demonstrated the effectiveness of various personalized health interventions in maximizing the benefits of cardiovascular disease treatment. Conclusions: Personalized health application interventions through precision medicine has great potential to boost cardiovascular disease management outcomes, including rehabilitation. Fundamentally, since each intervention’s focus might differ based on the disease and outcome preference, it is recommended that more research be done to tailor the interventions to specific disease and patient outcome expectations.

Department of Medicine 2040: Implementing a Constrained Disorder Principle-Based Second-Generation Artificial Intelligence System for Improved Patient Outcomes in the Department of Internal Medicine

“…6 The ability to personalize care uses biomarkers and technology, including point-of-care testing, biomonitoring, telemedicine, and mobile apps. 22 - 24 Expanding the partnerships between departments of medicine and community physicians is required. 25 …”

“…6 The ability to personalize care uses biomarkers and technology, including point-ofcare testing, biomonitoring, telemedicine, and mobile apps. [22][23][24] Expanding the partnerships between departments of medicine and community physicians is required. 25 As a result of their inherently conservative nature, healthcare systems are hard-pressed to adapt to changes relating to costs and how to harness doctors to do so.…”