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All Journal Jurnal Health Sains International Archives of Medical Sciences and Public Health International Archives of Medical Sciences and Public Health
Rizky Fajar Meirawan
Universitas Indonesia Maju, Jakarta, Indonesia
Religion Dentistry Environmental Science Health Professions Medicine & Pharmacology Nursing Public Health Veterinary

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Perilaku Seksual Sebagai Risiko Seropositif Imunoglobulin G (IgG) Toxoplasma Gondii Pada Pria Homoseksual Penderita HIV Nur Rizky Ramadhani; Rizky Fajar Meirawan
Jurnal Health Sains Vol. 4 No. 2 (2023): Journal Health Sains
Publisher : Syntax Corporation Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46799/jhs.v4i2.833

Abstract

Sexual behavior is one of the factors thought to be associated with Toxoplasma gondii infection. Several studies have shown that sexual behavior such as oral sex, a history of injuries to the genital organs during sexual intercourse, and working as a sex worker are associated with Toxoplasma gondii infection. In addition, a history of injecting narcotic use is also associated with Toxoplasma gondii infection. One method to determine infection status is serological examination, through measurement of immunoglobulin G (IgG). IgG seropositivity is the basis for determining the status of Toxoplasma gondii infection in the chronic or latent phase. This study aims to determine the relationship between sexual behavior and history of injecting drug use with Toxoplasma gondii infection based on IgG serological status. The study population in this study were 56 homosexual men with Human Immunodeficiency Virus (HIV) in the DKI Jakarta area, Bogor Regency and City, and Depok City. In this study, the infection status of Toxoplasma gondii was measured by the ELISA method at the Department of Parasitology, Faculty of Medicine, University of Indonesia. Sexual behavior and history of injecting drug use were measured using a questionnaire. The results of the study proved that 38 samples had positive serological status, 17 samples had negative serological status, and 1 sample was in the borderline range. Based on an analysis using the logistic regression test, age, education, getting paid for having sex, using condoms during oral sex, and a history of injuries to the genital organs during sex are risk factors for Toxoplasma gondii infection.
OUTPATIENT WAITING TIME IN INTERNAL MEDICINE: LEAN SIX SIGMA ROOT-CAUSE ANALYSIS WITH PROPOSED AI INTERVENTIONS Bobby Hery Yudhanto; Elsye Maria Rosa; Anna Surgean Veterini; Rizky Fajar Meirawan
International Archives of Medical Sciences and Public Health Vol. 7 No. 1 (2026): International Archives of Medical Sciences and Public Health
Publisher : Pena Cendekia Insani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53806/iamsph.v7i1.1471

Abstract

Outpatient waiting time is a critical service-quality indicator in Indonesian hospitals. At Hospital X, Sidoarjo, the Internal Medicine Clinic's average wait time reached 83 minutes and 58 seconds, approximately 40% above the 60-minute standard. This qualitative study applies in-depth interviews, fishbone analysis, and Lean Six Sigma (LSS) to identify root causes and formulate improvement recommendations. Findings identify systemic waste and defects, including complex B1–B6 clinical assessments, electronic medical record (EMR) constraints, high staff workloads risking burnout, and unreliable wait-time estimates despite an effective online registration system. In the short term, implementing e-Signatures to eliminate physical documentation workflows is identified as the most immediately actionable intervention. Ambient AI Scribe and AI Predictive Analytics are proposed as longer-term, infrastructure-contingent interventions requiring contextual validation before adoption. Reducing waiting times below 60 minutes through this combined strategy is operationally plausible but remains an unvalidated projection requiring further quantitative confirmation.
OUTPATIENT WAITING TIME IN INTERNAL MEDICINE: LEAN SIX SIGMA ROOT-CAUSE ANALYSIS WITH PROPOSED AI INTERVENTIONS Bobby Hery Yudhanto; Elsye Maria Rosa; Anna Surgean Veterini; Rizky Fajar Meirawan
International Archives of Medical Sciences and Public Health Vol. 7 No. 1 (2026): International Archives of Medical Sciences and Public Health
Publisher : Pena Cendekia Insani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53806/iamsph.v7i1.1471

Abstract

Outpatient waiting time is a critical service-quality indicator in Indonesian hospitals. At Hospital X, Sidoarjo, the Internal Medicine Clinic's average wait time reached 83 minutes and 58 seconds, approximately 40% above the 60-minute standard. This qualitative study applies in-depth interviews, fishbone analysis, and Lean Six Sigma (LSS) to identify root causes and formulate improvement recommendations. Findings identify systemic waste and defects, including complex B1–B6 clinical assessments, electronic medical record (EMR) constraints, high staff workloads risking burnout, and unreliable wait-time estimates despite an effective online registration system. In the short term, implementing e-Signatures to eliminate physical documentation workflows is identified as the most immediately actionable intervention. Ambient AI Scribe and AI Predictive Analytics are proposed as longer-term, infrastructure-contingent interventions requiring contextual validation before adoption. Reducing waiting times below 60 minutes through this combined strategy is operationally plausible but remains an unvalidated projection requiring further quantitative confirmation.
Co-Authors Anna Surgean Veterini Bobby Hery Yudhanto Elsye Maria Rosa Nur Rizky Ramadhani