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Medicor : Journal of Health Informatics and Health Policy
Published by PT Penerbit Ilmiah Indonesia
ISSN : -     EISSN : 30309166     DOI : https://doi.org/10.61978/medicor
Core Subject : Health,
Health Professions Public Health
Medicor : Journal of Health Informatics and Health Policy with ISSN Number 3030-9166 (Online) published by Indonesian Scientific Publication, published original scholarly papers across the whole spectrum of Health Informatics and Health Policy Research. The journal attempts to assist in the understanding of the present and potential ability Health Informatics and Health Policy Research
Arjuna Subject : Kedokteran - Informatika Kesehatan
Articles 4 Documents
 1 
Search results for , issue "Vol. 4 No. 1 (2026): January 2026" : 4 Documents clear
Dyspepsia as a Trigger for Sleep Disorders: A Case Study of Gut–Brain Axis Interaction Friska Febrian Damayanti; Algristian, Hafid; Ilahi, Marintik
Medicor : Journal of Health Informatics and Health Policy Vol. 4 No. 1 (2026): January 2026
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/medicor.v4i1.1139

Abstract

Functional dyspepsia is an upper gastrointestinal complaint without organic abnormalities that may interact with sleep through gut–brain axis mechanisms. We report the case of a 49-year-old woman with persistent insomnia occurring concurrently with epigastric pain for approximately one year. The patient relied on hypnotic medication and experienced early-morning awakenings. Psychiatric, somatic, and psychosocial evaluations indicated that the sleep disturbance was related to dyspeptic complaints. Management included psychoeducation, supportive psychotherapy, and Cognitive Behavioral Therapy for Insomnia (CBT-I), along with dyspepsia therapy (sucralfate and omeprazole) and a spiritual approach according to the patient’s preferences. Following integrated therapy, sleep patterns improved and the Insomnia Severity Index score decreased in parallel with the resolution of dyspepsia symptoms. This case demonstrates that dyspepsia can trigger sleep disturbances through gut–brain axis mechanisms and highlights the importance of a multidisciplinary approach in managing insomnia with gastrointestinal comorbidity. The report also emphasizes the clinical relevance of addressing biopsychosocial factors and incorporating culturally sensitive, patient-centered care to enhance therapeutic outcomes and prevent symptom recurrence.
The Relationship Between Ovarian Cancer and Depressive Symptoms: A Case Report Prawidya, Syahrul Gusnaldi; Roosyidah; Amsori, Anabela Amoreth; Subagyo, Novanthy Nur Rohmadhani; Baihaqi, Muhammad Azhari; Kumalaratih, Embun; Algristian, Hafid
Medicor : Journal of Health Informatics and Health Policy Vol. 4 No. 1 (2026): January 2026
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/medicor.v4i1.902

Abstract

Ovarian cancer is a malignant tumor originating from the ovaries, affecting various age groups, with multiple histological types. Depression is a common mental disorder characterized by emotional and physical symptoms. Cancer diagnosis and treatment are widely recognized as major psychological stressors that can precipitate or exacerbate mental health disturbances, particularly depressive and anxiety disorders, due to the profound emotional, social, and physiological challenges experienced by patients. This case report highlights the relationship between ovarian cancer and depressive symptoms. This case report examines the relationship between ovarian cancer and depressive symptoms, with a focus on the psychological and inflammatory pathways influencing mental health. A 44-year-old woman presented with a loss of interest in activities, beginning three weeks after her ovarian cancer diagnosis. Research indicates that factors such as advanced cancer stage, poor physical functioning, and the absence or discontinuation of chemotherapy due to disease progression or treatment intolerance may increase the susceptibility to mental health disorders among ovarian cancer patients. Cancer patients, including those diagnosed with ovarian cancer, experience heightened stress and depression compared to those with non-neoplastic diseases. Depression can arise due to both psychological stress and inflammatory processes triggered by cancer treatments.
Machine Learning Approach for Iron Deficiency Anemia Detection in Pregnant Women Using XGBoost and CTGAN Hatibović, Enes; Karaibrahimovic, Hana; Divanovic, Anida; Vanis, Nenad; Tulumović, Azur; Ler, Daria
Medicor : Journal of Health Informatics and Health Policy Vol. 4 No. 1 (2026): January 2026
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/medicor.v4i1.1097

Abstract

Iron deficiency anemia (IDA) continues to pose one of the most significant challenges in maternal health, affecting nearly 40% of pregnant women worldwide according to the World Health Organization (2023).  Despite advances in obstetric screening, conventional diagnostic methods such as complete blood count (CBC) tests often fail to detect early or latent stages of anemia due to physiological changes associated with pregnancy.  This study introduces a robust machine learning framework integrating Extreme Gradient Boosting (XGBoost), and Conditional Tabular Generative Adversarial Networks (CTGAN) for the early detection of IDA in pregnant women. Our approach addresses the class imbalance inherent in clinical datasets and incorporates trimester-specific hematological adaptations.  Using 3,944 anonymized clinical records from ASA Hospital Sarajevo (January–July 2025), we evaluated model performance across hematological features commonly used in obstetric care. The optimized model achieved a precision of 100%, recall of 65.2%, specificity of 100%, and an AUC-ROC of 0.8686. Comparative analysis against conventional CBC screening, which reached only 40.5% sensitivity, demonstrated significant improvement in detection reliability. These findings demonstrate the potential of AI-enhanced diagnostics to support early detection of IDA in pregnant women, reduce missed diagnoses, and strengthen clinical decision-making. Further multi-center validation and integration of additional biomarkers are recommended to confirm generalizability.
Website Redesign of Bandung City Special Dental and Oral Hospital Purbasari, Sophia; Kurnia, Mohammad Manzili
Medicor : Journal of Health Informatics and Health Policy Vol. 4 No. 1 (2026): January 2026
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/medicor.v4i1.1211

Abstract

This study examines the redesign of the Bandung City Special Dental and Oral Hospital (RSKGM) website to address usability and accessibility issues in public healthcare digital platforms. As digital health services have become increasingly essential, particularly after the COVID-19 pandemic, hospitals are expected to provide efficient, user-friendly, and integrated online systems. The existing RSKGM website presented several UI/UX weaknesses, such as the separation of registration and information pages and poorly designed call-to-action buttons, which hindered the user experience. Using a qualitative approach supported by interviews, observations, questionnaires, and literature review, the research applied the 5W+1H and SWOT analytical frameworks, followed by wireframing, prototyping, and usability testing. Results showed that 69.6% of users found the previous website unattractive and difficult to use, while 85.7% agreed it needed a redesign. The new website successfully integrated registration and information services, improved call-to-action clarity, and reduced registration time from 15 seconds to 1.5 seconds. The novelty of this study lies in its integration of User-Centered Design (UCD) and the AISAS communication model to develop a contextual framework for redesigning digital health services in public hospitals, offering a new approach that bridges usability, communication strategy, and institutional branding. The findings demonstrate how user-centered redesign can enhance efficiency, accessibility, and user satisfaction while providing practical implications for digital transformation in public healthcare institutions.

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