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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) International Journal of Public Health Science (IJPHS) Jurnal Farmasi Sains dan Komunitas As-syifaa Jurnal Farmasi AKSIOLOGIYA : Jurnal Pengabdian Kepada Masyarakat JURNAL MANAJEMEN DAN PELAYANAN FARMASI (Journal of Management and Pharmacy Practice) Jurnal Surya Masyarakat JFL : Jurnal Farmasi Lampung PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat Jurnal Ilmu Kefarmasian Indonesia Jurnal Surya Masyarakat Community Empowerment Journal of Fundamental and Applied Pharmaceutical Science Media Publikasi Promosi Kesehatan Indonesia (MPPKI) Jurnal Ilmiah Ibnu Sina (JIIS): Ilmu Farmasi dan Kesehatan Prosiding Seminar Nasional Program Pengabdian Masyarakat Ranah Research : Journal of Multidisciplinary Research and Development Jurnal Medika: Medika J-CEKI Ulil Albab Joong-Ki
Muhammad Thesa Ghozali
Universitas Muhammadiyah Yogyakarta, Yogyakarta, Indonesia
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Dentistry Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Immunology & microbiology Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Nursing Public Health Social Sciences Transportation Other

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The Role of Artificial Intelligence in Enhancing Medication Adherence: A Mini Review Muhammad Thesa Ghozali
J-CEKI : Jurnal Cendekia Ilmiah Vol. 3 No. 6: Oktober 2024
Publisher : CV. ULIL ALBAB CORP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56799/jceki.v3i6.7604

Abstract

Medication adherence is essential for optimal healthcare outcomes, particularly in managing chronic conditions like diabetes, hypertension, and cardiovascular diseases. Despite its significance, nonadherence remains a widespread issue, contributing to disease progression, hospitalizations, and increased mortality. Traditional interventions such as patient education and reminders have shown limited scalability and efficacy. This review explores the transformative potential of artificial intelligence (AI) in enhancing medication adherence, synthesizing evidence from peer-reviewed studies. AI tools, including mobile applications, wearable devices, ingestible biosensors, and platforms like AiCure, provide personalized, real-time monitoring and tailored interventions to support adherence. These technologies demonstrate significant improvements in adherence rates and patient engagement, especially for chronic and complex conditions. However, challenges such as data privacy concerns, digital literacy gaps, and integration barriers with existing healthcare systems hinder widespread adoption. Addressing these challenges through robust regulatory frameworks, enhanced accessibility, and system interoperability is critical. Future directions include leveraging advancements in reinforcement learning, explainable AI, and collaborative initiatives to ensure equitable and effective use of AI in adherence management. AI offers a promising pathway to improve adherence outcomes and healthcare efficiency, provided ethical, infrastructural, and accessibility challenges are adequately addressed.
Edukasi Digital Berbasis Aplikasi Mobile untuk Meningkatkan Kualitas Hidup pada Pasien Asma Adella Anggita Sari; Muhammad Thesa Ghozali
J-CEKI : Jurnal Cendekia Ilmiah Vol. 3 No. 6: Oktober 2024
Publisher : CV. ULIL ALBAB CORP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56799/jceki.v3i6.7606

Abstract

Asma merupakan penyakit kronis ditandai dengan peradangan pada saluran napas yang menyebabkan penyempitan (hiperaktivitas bronkus). Kualitas hidup yang rendah pada penderita asma sering memicu kekambuhan gejala dan mengganggu aktivitas harian. Meskipun asma tidak dapat disembuhkan, penyakit ini dapat dikontrol melalui edukasi, yang bertujuan mencegah kekambuhan. Salah satu metode edukasi yang kini digunakan adalah melalui aplikasi ponsel pintar. Namun, penelitian terkait efektivitas aplikasi ini dalam meningkatkan kualitas hidup penderita asma di Indonesia masih terbatas. Penelitian ini bertujuan untuk mengevaluasi apakah edukasi berbasis aplikasi ponsel pintar dapat meningkatkan kualitas hidup penderita asma di Klinik Firdaus Universitas Muhammadiyah Yogyakarta. Menggunakan desain pre-eksperimental dengan pendekatan one group pretest-posttest, penelitian melibatkan 40 responden yang dipilih melalui total sampling. Data dikumpulkan menggunakan kuesioner Mini AQLQ sebelum dan sesudah intervensi edukasi selama periode Agustus–Desember 2022. Analisis data dilakukan dengan uji Wilcoxon dan Spearman rho. Hasil penelitian menunjukkan 67,5% responden (27 orang) memiliki kualitas hidup yang baik setelah intervensi. Analisis deskriptif memperlihatkan peningkatan rata-rata dan median skor kualitas hidup. Hasil uji hipotesis menunjukkan nilai p sebesar 0,022, yang mengindikasikan adanya hubungan signifikan antara edukasi berbasis aplikasi ponsel pintar dengan peningkatan kualitas hidup penderita asma. Penelitian ini menyimpulkan bahwa penggunaan aplikasi ponsel pintar dalam edukasi pasien asma efektif meningkatkan kualitas hidup mereka.
Co-Authors Abdissalam, Erfan Abdul Samad Abidin, Ghaida Rahmani Putri Adella Anggita Sari Agustina Styawan, Anita Ahyar, Zeda Kumala Aji Winanta Aji Winanta Aji Winanta Andy Eko Wibowo Aris Widayati Azizah Khoiriyati Azizatunnisa, Rahmatia Bagus Hidayaturrohim Bangsawan, Tasya Okta Permata Cahyadi, Fachri Argya Devi Puspitasari Dini, Riyanti Raf’al Dyah Aryani Perwitasari Dyani Primasari Sukamdi Faatin, Salsa Fadhilah Anwar Hidayat Fanny Rohimatul Azizah Putri Faradiba Faradiba Ferina Septiani Damanik Fortwengel, Gerhard Githa Fungie Galistiani Halimatussa’diyah, Siti Hanifa, Deasy Nur Chairin Hari Widada, Hari Indardi Indardi Ingenida Hadning Ingenida Hadning Ingenida Hadning Izdihar Dinah Amalia Islamy Juhaeni, Ameirzan Maulana Laelia Dwi Anggraini, Laelia Larasati, Savira Wahyu Lutfan Lazuardi Maharani, Fadya Bella Suci Marlyn Dian Laksitorini, Marlyn Dian Muhammad Fariez Kurniawan Muhammad Fariez Kurniawan Muhammad Luthfi Maulana Mutiara E., Tasya Aulia Nanang Kurniawan Nisa, Lia Fakila Nugraheni, Tiyas Putri Nurfadilasari, Ulfa Mustofa Nurul Maziyyah Octavia, Mega Pinasti Utami Pinasti Utami Pinasti Utami, Pinasti Pramitha Esha Nirmala Dewi Pramitha Esha Nirmala Dewi, Pramitha Esha Nirmala Puspitasari, Amallia Putri Kurnyaningtyas Putri, Hikma Yulia Rahadian , Maulana Yusuf Rahajeng, Bangunawati Rahman, Fikri Difa Auliyah Rassyifa, Aloina Jean Rima Erviana Sabtanti Harimurti Sabtanti Harimurti Salmah Orbayinah Sari, Adella Anggita Satibi Satibi Selalau, Waly Prakasa Septiyanna, Rosemaladewi Siti Halimatussa’diyah Sri Tasminatun Surria Dwiwahyu Susanto, Yugo Syaifabila, Imania Afidatus Tiyas Putri Nugraheni Utami, Nila Vidilia Vella Laili Damarwati Vella Lailli Damarwati Woro Supadmi