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Stigma in Leprosy Patients in the Community : A Systematic Review Nadya Ulfa Kesumawardani; Bagus Alfrisa; Muhammad Reza Fahlevi Hanafi; Ria Apriliani Waruwu; Syah Fara Dillasani Sirait
International Journal of Public Health Vol. 1 No. 4 (2024): December : International Journal of Public Health
Publisher : Asosiasi Riset Ilmu Kesehatan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijph.v1i4.194

Abstract

The increasing incidence of leprosy in the community causes individuals with leprosy to experience psychological stress. This pressure can come from the individual's internal perceptions such as feeling insecure, feeling embarrassed, and feeling afraid of being shunned. Apart from that, the psychological pressure experienced by individuals can originate from external factors such as discrimination from society, labeling, and isolation in social life. The method used in preparing this article is the PRISMA method with database searches including Google Scholar, Digital Reference Garba, and Science Direct. There are 15 articles selected based on the criteria, namely published in 2018-2023, can be accessed in full text, articles in Indonesian and English, and are qualitative research using the keywords stigma, leprosy sufferers, and community. The articles analyzed were selected according to criteria with results showing that the stigma experienced by leprosy sufferers in the community consisting of self-stigma and public stigma. These two stigmas cause psychological problems in leprosy sufferers.
Literature Review Dampak Artificial Intelligence terhadap Peningkatan Kualitas Perawatan Pasien Bagus Alfrisa; Muhammad Reza Fahlevi Hanafi; Yuni Suharnida Lubis
JURNAL RISET RUMPUN ILMU KESEHATAN Vol. 4 No. 2 (2025): Agustus : Jurnal Riset Rumpun Ilmu Kesehatan
Publisher : Pusat riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jurrikes.v4i2.5383

Abstract

The integration of telemedicine and artificial intelligence (AI) into critical care has emerged as a revolutionary development in the healthcare sector, aiming to enhance patient care and outcomes. This research aims to explore the impact of these technologies on improving the quality of patient care in intensive care units (ICUs). A systematic review of recent studies published between 2018 and 2023 was conducted to analyze the role of telemedicine in improving access to healthcare and the application of AI in enhancing diagnostic accuracy and monitoring patients in real-time. The findings suggest that both telemedicine and AI significantly reduce response times, improve decision-making processes, and increase the accuracy of diagnoses, which ultimately contribute to better patient safety and outcomes. The research also highlights challenges, including infrastructure limitations and the need for specialized training for healthcare professionals. The study’s implications underline the importance of integrating these technologies in critical care units to improve overall healthcare delivery, while addressing barriers to implementation. Future research should focus on overcoming these challenges and exploring long-term outcomes of technology use in critical care environments.