Setyoningsih, Rr. Devi Noviana
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Sistematic Literature Review: Pengaruh Pengembangan AI (Artificial Inteligence) terhadap Informasi Kesehatan di Indonesia Dari Aspek Ketepatan Dan Aksesibilitas Setyoningsih, Rr. Devi Noviana; Purnami, Cahya Tri; Suryoputro, Antono
Malahayati Nursing Journal Vol 7, No 8 (2025): Volume 7 Nomor 8 (2025)
Publisher : Universitas Malahayati Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33024/mnj.v7i8.21618

Abstract

ABSTRACT The greatest challenge in Indonesia's healthcare sector is the limited number of doctors and their uneven distribution, as well as insufficient health information. One solution being implemented is utilizing artificial intelligence (AI) technology. The development of artificial intelligence has provided significant impact on the healthcare sector, including assisting in disease diagnosis, medical imaging analysis, predicting disease risks and progression, monitoring patient health data, and managing hospital administration. The utilization of AI technology can also improve accessibility, convenience, and accuracy in obtaining information within healthcare delivery systems, including reducing human error and physicians' cognitive bias in determining the best treatment decisions.analyzing the impact of AI development on improving health information in Indonesia from the aspects of accuracy and accessibility. Systematic Literature Review was conducted using a database PubMed, Scopus, Google Scholar, dan Semantic dengan rentang publikasi 2020-2025. Kata kunci yang digunakan meliputi: “pengaruh”, "artificial intelligence", "kecerdasan buatan", "informasi kesehatan", "health information", "Indonesia”, “accuracy”, “ketepatan”, “Aksesibilitas”. Analysis of 9 articles revealed that AI development has had a significant influence on the improvement of health information in Indonesia, particularly in terms of accessibility and accuracy of health information. An intervention study was conducted to determine the impact of technology on improving the accessibility and accuracy of health information in Indonesia, as well as on the development of AI-enabled health information systems, and to evaluate the long-term effects of AI implementation on public health outcomes. Keywords: Artificial Intelligence, Health Information, Accuracy, Accessibility. ABSTRAK Tantangan terbesar di sektor kesehatan Indonesia adalah terbatasnya jumlah dokter dan distribusinya yang tidak merata. Salah satu solusi yang dilakukan adalah memanfaatkan teknologi kecerdasan buatan. Pengembangan kecerdasan buatan telah memberikan dampak signifikan pada sektor kesehatan, antara lain membantu menentukan diagnosis penyakit, analisa pencitraan medis, memprediksi risiko dan perkembangan penyakit, pengawasan data kesehatan pasien, hingga pengeolaan administrasi rumah sakit. Pemanfaatan teknologi AI juga dapat meningkatkan aksesibilitas dan kemudahan serta ketepatan memperoleh informasi dalam sistem pelayanan kesehatan antara lain mengurangi kesalahan manusia dan bias kognitif dokter dalam menentukan keputusan pengobatan terbaik. Menganalisa pengaruh Pengembangan AI terhadap peningkatan informasi kesehatan di Indonesia dari aspek ketepatan dan aksesibilitas. Sistematic Literature Review dilakukan menggunakan database PubMed, Scopus, Google Scholar, dan Semantic dengan rentang publikasi 2020-2025. Kata kunci yang digunakan meliputi: “pengaruh”, "artificial intelligence", "kecerdasan buatan", "informasi kesehatan", "health information", "Indonesia”, “accuracy”, “ketepatan”, “Aksesibilitas”. Analisis dari 9 artikel diperoleh hasil bahwa Pengembangan AI telah memberikan pengaruh yang signifikan terhadap peningkatan informasi kesehatan di Indonesia, terutama dalam aspek ketepatan dan aksesibilitas. Dilakukan Studi intervensi untuk memastikan bahwa pengaruh teknologi terhadap peningkatkan aksesbilitas dan ketepatan informasi kesehatan di Indonesia, serta pengembangan informasi kesehatan dengan dukungan AI, dan evaluasi dampak jangka panjang implementasi AI terhadap hasil kesehatan masyarakat Kata Kunci: Artificial Intelligence, Kecerdasan Buatan, Informasi Kesehatan, Ketepatan, Aksesibilitas
Analysis of the Impact of Delayed Chronic Drug Claims on Hospital Healthcare Service Quality: Systematic Literature Review Setyoningsih, Rr. Devi Noviana; Purnami, Cahya Tri; Suryoputro, Antono
PROMOTOR Vol. 9 No. 1 (2026): FEBRUARI
Publisher : Universitas Ibn Khaldun Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/pro.v9i1.1883

Abstract

Delays in submitting reimbursement claims for chronic drug result in deferred payments, adversely affecting hospital cash flow. This financial strain leads to delays in employee compensation and challenges in ensuring adequate chronic drug availability for patients. This study aims to analyze how chronic drug claim processing delays impact the quality of healthcare services delivered by hospitals. This study utilizes a systematic literature review methodology, searching the PubMed, Scopus, and Google Scholar databases for publications from 2015-2025. The search strategy employs the following keywords: "chronic drug claims delay," "healthcare service quality," "chronic medication reimbursement," "hospital cash flow," and "pharmaceutical claims processing." The literature selection process follows the PRISMA guidelines. Based on the analysis of six selected articles, this study identifies the multidimensional impact of delayed chronic drug claims on hospital healthcare service quality across four key dimensions: Competency Dimension:delayed claims create hospital revenue instability, which adversely affects funding for human resource development and staff competency training programs. Service Effectiveness Dimension: claim processing delays necessitate changes in hospital budget allocation and strategic planning policies, resulting in suboptimal service delivery. Safety Dimension:delayed reimbursements lead to medication shortages, causing delays in providing essential chronic medications to patients and potentially compromising patient safety. Service Comfort Dimension:claims processing delays negatively impact pharmaceutical inventory management, affecting medication availability and overall patient comfort during treatment. Conclusion: Based on the analysis of six research articles published between 2015-2025, delayed chronic drug claims significantly impact hospital healthcare service quality across multiple dimensions, including competency, service effectiveness, safety, and service comfort.