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All Journal Science Midwifery Indonesian Journal of Innovation Studies
Wahananingtyas, Nova Listya
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Computer Science & IT Dentistry Education Engineering Health Professions Law, Crime, Criminology & Criminal Justice Nursing Public Health Veterinary

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E-Health Applications Support Medication Adherence in Coronary Heart Disease Patients: Aplikasi E-Health Mendukung Kepatuhan Minum Obat pada Pasien Penyakit Jantung Koroner Wahananingtyas, Nova Listya; Bakar, Abu; Harmayetty, Harmayetty
Indonesian Journal of Innovation Studies Vol. 26 No. 1 (2025): January
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v26i1.1352

Abstract

General Background: Coronary heart disease (CHD) is a leading cause of mortality, with medication adherence being critical for effective management. However, adherence remains low, necessitating innovative solutions. Specific Background: E-health applications offer features such as reminders, education, and remote monitoring to enhance adherence. Knowledge Gap: While e-health is widely used, its effectiveness in improving medication adherence among CHD patients requires further evaluation. Aims: This study systematically reviews the effectiveness of e-health applications in enhancing CHD medication adherence and identifies key influencing factors. Results: Findings suggest that e-health applications improve adherence through digital education, reminders, and family support. Challenges include digital literacy gaps, economic constraints, and privacy concerns. Novelty: This review synthesizes current evidence, highlighting benefits, challenges, and strategies for optimizing e-health adoption. Implications: Strengthening digital infrastructure, patient education, and data security policies is essential to maximize the impact of e-health in CHD management. Highlights: E-health applications improve medication adherence through reminders, education, and remote monitoring. Challenges include digital literacy gaps, privacy concerns, and economic barriers that hinder widespread adoption. Comprehensive strategies such as digital infrastructure improvement and patient education are essential for effective implementation. Kewywords: E-Health, Medication Adherence, Coronary Heart Disease, Digital Health, Patient Compliance
Artificial intelligence in cardiac nursing practice: A systematic review of applications, challenges, and patient outcomes Wahananingtyas, Nova Listya; Aprilio, ⁠Rachmad; Risnadhia, Risnadhia; Fiana, Marista; Padhila, Fevi; Azhar, Sabrina Rahmatillah
Science Midwifery Vol 13 No 6 (2026): February: Health Sciences and related fields
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/midwifery.v13i6.2250

Abstract

Cardiovascular diseases remain the leading cause of global mortality, requiring innovative approaches to improve cardiac care. This systematic review aimed to examine the applications of Artificial Intelligence (AI) in cardiac nursing practice, identify implementation challenges, and assess its impact on patient outcomes. The review was conducted in accordance with PRISMA 2020 guidelines, using PubMed, ScienceDirect, CINAHL, and Web of Science. Original studies published between 2020 and 2025 that explicitly addressed nursing roles in cardiac care were included. Eleven studies met the inclusion criteria and were appraised using the Joanna Briggs Institute (JBI) tools. The results show that AI applications, including ChatGPT and machine learning models, support cardiac nursing through clinical decision support, patient education, risk prediction, and home-based monitoring. These applications were associated with improved nursing efficiency, enhanced patient self-management, early detection of clinical deterioration, and potential reduction in hospitalization. However, challenges such as data accuracy, ethical concerns, algorithm transparency, and limited digital literacy among nurses were consistently reported. In conclusion, AI has strong potential to enhance evidence-based and patient-centered cardiac nursing practice. Successful integration requires ethical governance, adequate training, and interdisciplinary collaboration to ensure safe and effective implementation.
Co-Authors Abu Bakar Aprilio, ⁠Rachmad Azhar, Sabrina Rahmatillah Fiana, Marista Harmayetty, Harmayetty Padhila, Fevi Risnadhia, Risnadhia