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Al Makki Health Informatics Journal
Published by Al-Makki Publisher
ISSN : 30256518     EISSN : 30250501     DOI : -
Core Subject : Health,
Dentistry Health Professions Nursing Public Health Veterinary
l Makki Health Informatics Journal is an open-access scientific peer-review journal publishing. The Al Makki Health Informatics Journal focuses on exchanging information relating to intelligent computing and health informatics applied in industry, hospitals, government, and universities. All articles should include a validation of the idea presented, e.g. through case studies, experiments, or systematic comparisons with other approaches already in practice. Two types of papers are accepted: (1) A short paper that discusses a single contribution to a specific new trend or a new idea, and; (2) A long paper that provides a survey of a specific research trend using a systematic literature review (SLR) method, as well as a traditional review method. Topics of interest include, but are not limited to: Electronic health record E-Health Information Medical Image Processing & Techniques Data Mining in Healthcare Bioinformatics & Biostatistics Mobile applications for patient care Medical Image Processing & Techniques Hospital information systems Document handling systems Electronic medical record systems Standardization, and systems integration ICT in health promotion programmes e-health Guidelines and protocols E-learning & education in healthcare Telemedicine Software- Portals-Devices & Telehealth Public health & consumer informatics Data Mining & Knowledge Discovery in Medicine ICT for Patient empowerment ICT for Patient safety Medical Databanks-Databases & Knowledge Bases Healthcare Quality assurance Nursing Informatics Evaluation & Technology Assessment Home-based eHealth Health Management Issues Health Research Health Economics Issues Statistical Method for Computer Medical Decision Support Systems Medical Informatics or medicine in general Organizational, economic, social, clinical impact, ethical and cost-benefit aspects of IT applications in health care.
Arjuna Subject : Profesi Kesehatan - Terminologi Medis
Articles 5 Documents
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Search results for , issue "Vol. 3 No. 1 (2025): Al Makki Health Informatics Journal" : 5 Documents clear
Correlation between Prostate Volume and Intravesical Prostate Protrusion to Bladder Detrusor Muscle Thickness in Patients with Benign Prostate Enlargement by Transabdominal Ultrasound Examination in Banjar Jagatamu, Meliling, Kerambitan, Tabanan 2024 Suastari, Ni Made Putri; Made Widya Mahayani, Ni; Komang Agung Hersya Paritranaya Dinata, Dewa
Al Makki Health Informatics Journal Vol. 3 No. 1 (2025): Al Makki Health Informatics Journal
Publisher : Al Makki Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57185/hij.v3i1.42

Abstract

Benign prostate enlargement (BPE) is a common degenerative condition in elderly men, often leading to lower urinary tract symptoms (LUTS) such as urgency, frequent urination, and incomplete bladder emptying. This study investigates the correlation between prostate volume, intravesical prostate protrusion (IPP), and bladder detrusor muscle thickness in patients with BPE using transabdominal ultrasonography. Conducted in Banjar Jagatamu, Meliling Village, Tabanan Regency, the study employed a cross-sectional design with 71 participants aged 60 years and older. Inclusion criteria required an International Prostate Symptom Score (IPSS) ≥ 8 or prostate volume > 20 mL. The results revealed a significant correlation between prostate volume and bladder detrusor muscle thickness (r = 0.665, p < 0.001) and between IPP and detrusor thickness (r = 0.806, p < 0.001). These findings highlight the utility of ultrasonography in assessing structural changes caused by chronic urinary obstruction. The study provides valuable insights into the role of prostate volume and IPP as predictive markers for bladder remodeling in BPE patients. By focusing on a rural population, this research emphasizes the need for accessible diagnostic tools to improve early detection and management of BPE, ultimately enhancing patient outcomes in underserved communities.
Correlation Red Blood Inidces to Hemogloblin Levels In Addolescent At SMK-TI High School, Badung, Bali Komang, Endrawati Juwita; Bulan Anak Agung, Ginitri; Jaya Komang, Andika
Al Makki Health Informatics Journal Vol. 3 No. 1 (2025): Al Makki Health Informatics Journal
Publisher : Al Makki Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57185/hij.v3i1.43

Abstract

The Complete Blood Count (CBC) or hemogram is a panel of test results on the cellular components of blood: the Red Blood Cells (RBCS), White Blood Cells (WBCS), and platelets (PLTS). Each of the portions can be interpreted separately in a methodical fashion and the interpretation has two aims for laboratorians. parameter that is quite sensitive to testing errors and interferences (often flagged) is the Mean Cell Hemoglobin Concentration (MCHC). The purpose of checking Hemoglobin levels is to assess the level of anemia, response to anemia therapy, or the development of diseases related to anemia and polycythemia. Other uses for checking Hemoglobin include assessing the level of anemia, the response to anemic women and the development of diseases related to anemia. This research used a crosssectional analytic method with the aim of finding a correlation red blood indices to Hemoglobin. Teenagers are the most prominent investors and the next generation of the nation's ideals. However, in adolescence, many problems can have a negative impact on health, such as adolescent nutrition. The quality and quantity of nutritional intake consumed during adolescence is an important factor in the emergence of nutritional problems in adolescents.
Diagnostic Approach to Patients with Hepatic Abscess: A Case Report Pradnyani, Made Ayu Agustia; Made Dwija Suarjana, I
Al Makki Health Informatics Journal Vol. 3 No. 1 (2025): Al Makki Health Informatics Journal
Publisher : Al Makki Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57185/hij.v3i1.44

Abstract

Hepatic abscess is a severe infection characterized by pus accumulation within the liver, often caused by bacterial or amoebic pathogens. This case report discusses the diagnostic challenges and management of bilateral hepatic abscesses in a resource-limited setting. A 43-year-old male presented with right upper quadrant abdominal pain, jaundice, and systemic symptoms. Diagnostic investigations, including ultrasonography and contrast-enhanced CT scan, revealed abscesses in the right and left hepatic lobes. Laboratory findings showed leukocytosis, hypoalbuminemia, and elevated liver enzymes. The patient was treated with empiric antibiotics and underwent laparotomy for abscess drainage, yielding 1700 cc of pus. Postoperative recovery was uneventful, with significant clinical improvement. This study highlights the importance of a combined medical and surgical approach in managing complex hepatic abscess cases, particularly in settings with limited diagnostic resources. The findings emphasize early diagnosis, multidisciplinary care, and tailored treatment strategies to improve outcomes for patients with hepatic abscesses, especially in underserved regions.
Harnessing Artificial Intelligence in Generic Formulation Development and Life Cycle Management - A Comprehensive Review Babu, Murali Mohan; Luh Putu Nurshanti, Ni; Martha Wijaya, Harry; R. Tjandrawinata, Raymond
Al Makki Health Informatics Journal Vol. 3 No. 1 (2025): Al Makki Health Informatics Journal
Publisher : Al Makki Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57185/hij.v3i1.45

Abstract

Artificial intelligence (AI) is revolutionizing the pharmaceutical industry by enhancing efficiency, precision, and cost-effectiveness in drug development. This study explores the application of AI in the lifecycle management of generic drugs, focusing on key stages such as active pharmaceutical ingredient (API) synthesis, excipient selection, pre-formulation studies, bioequivalence testing, and regulatory compliance. By leveraging machine learning algorithms, AI facilitates predictive modeling, risk assessment, and optimization of drug formulation processes, reducing time-to-market and improving scalability. Despite significant advancements, challenges such as data quality, algorithm transparency, and infrastructure limitations persist, particularly in resource-constrained settings. This review highlights case studies and emerging technologies that address these challenges, providing actionable insights for pharmaceutical stakeholders. The study also discusses AI's potential to streamline supply chain logistics, enhance accessibility, and ensure regulatory adherence. By integrating AI across all stages of generic drug development, this research underscores its transformative potential in improving drug affordability, accessibility, and patient outcomes globally.
Poor Outcome in an Elderly Patient with Generalized Tetanus During Hospitalization: Identifying Contributing Factors - A Case Report Prakoso, Iqbal Adi; Septiana Maria Kathrine, Anita; Satri Delta Wijaya, Muhammad
Al Makki Health Informatics Journal Vol. 3 No. 1 (2025): Al Makki Health Informatics Journal
Publisher : Al Makki Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57185/hij.v3i1.46

Abstract

Tetanus, caused by Clostridium tetani, remains a significant global health challenge despite the availability of vaccines. This case report discusses a 64-year-old male farmer diagnosed with Grade IV generalized tetanus following a puncture wound caused by a fish bone. The patient presented with stiffness, trismus, risus sardonicus, and opisthotonus, with symptoms progressively worsening. The diagnosis was established using Ablett's classification, and treatment included tetanus antitoxin, antibiotics, diazepam, and nutritional support. However, limited healthcare resources, inadequate isolation facilities, and a lack of essential medications contributed to a poor prognosis, culminating in the patient's death. This case emphasizes the critical need for improved healthcare infrastructure, early diagnosis, comprehensive management, and public health initiatives to prevent tetanus through vaccination and education. The findings highlight the importance of addressing systemic healthcare barriers to enhance outcomes in severe tetanus cases.

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