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Infokes : Jurnal Ilmiah Rekam Medis dan Informasi Kesehatan
Published by Universitas Duta Bangsa Surakarta
ISSN : 20862628     EISSN : 27455629     DOI : https://doi.org/10.47701/infokes.v10i1
Core Subject : Health,
Health Professions Medicine & Pharmacology Nursing Public Health Veterinary
Medical Record Medical Informatics Health Policy and Management Midwifery Public Health Critical Care and Intensive Care Medicine Pharmacy
Arjuna Subject : Profesi Kesehatan - Profesi Kesehatan (Lain-Lain)
Articles 258 Documents
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Incentive-Based Performance Evaluation Model for Healthcare Professionals in Hospitals: a Systematic Literature Review Ni Luh Putu Sri Widani; Qurrotul Aini
Jurnal Infokes Vol 16 No 2 (2026): Jurnal Ilmiah Rekam Medis dan Informatika Kesehatan
Publisher : Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47701/15d47q06

Abstract

Background: Health workers are the spearhead of hospitals whose performance is significantly influenced by reward systems, yet current incentive implementations often lack transparency and holism. This study aims to identify and classify various performance appraisal models based on service incentives through a systematic literature review approach. Method: The research method utilizes a systematic review design following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. A structured literature search was conducted on Scopus, PubMed, ScienceDirect, and Google Scholar databases with inclusion criteria for empirical articles published between 2021–2025. Results: The synthesis results of 10 selected studies indicate that performance-based incentives significantly increase productivity, motivation, and multidisciplinary team collaboration in hospitals. Factors such as psychological well-being, managerial transparency, and altruism values were found to be important moderators influencing the effectiveness of financial incentives. Furthermore, the use of information technology and clinical quality indicators is proven to strengthen the objectivity of medical staff performance evaluation systems. Conclusion: This study concludes that a fair and managerially integrated incentive-based performance appraisal model is a crucial instrument in improving sustainable healthcare quality
Service Quality of Electronic Medical Records Using DeLone–McLean Model Grafirat Wengkang; Wahyu Wijaya Widiyanto
Jurnal Infokes Vol 16 No 2 (2026): Jurnal Ilmiah Rekam Medis dan Informatika Kesehatan
Publisher : Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47701/mas4ck16

Abstract

Background: Indonesia requires healthcare facilities to implement electronic medical records (EMRs), yet integration progress and implementation capacity remain uneven. Evidence from primary healthcare is especially limited because most evaluations have been undertaken in hospitals. This study examined whether system quality, information quality, service quality, and user satisfaction were associated with perceived health service quality among users of the EMR at Opi Palembang Primary Health Center using an adapted DeLone-McLean Information Systems Success Model. Methods: A quantitative cross-sectional study involved all 52 eligible healthcare professionals and administrative staff who had used the EMR for at least three months. Data were collected using a structured five-point Likert questionnaire. Descriptive statistics, Pearson correlations, and multiple linear regression were used to examine the relationships between the four information-system success dimensions and perceived health service quality. Results: All four dimensions were positively correlated with perceived health service quality: user satisfaction (r=0.65, p<0.001), system quality (r=0.62, p<0.001), information quality (r=0.58, p=0.001), and service quality (r=0.49, p=0.003). The regression model explained 68% of the observed variance (R²=0.68). User satisfaction had the largest observed unstandardized coefficient (B=0.287, p=0.002), followed by system quality, information quality, and service quality. Conclusion: The adapted DeLone-McLean dimensions were consistently associated with users’ perceptions of service quality. The results support improvements in usability, information accuracy and timeliness, technical support, and workflow fit. Because the design was cross-sectional and based on perceptions from one facility, the findings should not be interpreted as evidence that the EMR caused objective improvements in care
Medical Record-Based Prediction of Type 2 Diabetes Mellitus Risk Using the Naïve Bayes Algorithm Mochammad Choirur Roziqin; Nabila Ersa Wulandari; Bakhtiyar Hadi Prakoso; Dony Setiawan Hendyca Putra; Muhammad Ifantara Putra; Gamasiano Alfiansyah
Jurnal Infokes Vol 16 No 2 (2026): Jurnal Ilmiah Rekam Medis dan Informatika Kesehatan
Publisher : Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47701/gjtc0v25

Abstract

Background: Type 2 diabetes mellitus is a non-communicable disease with a high prevalence and the potential to cause serious complications if not properly managed. Identifying risk factors is an essential step in the prevention and control of this disease. Objective: This study aimed to develop and evaluate a medical record-based prediction model for type 2 diabetes mellitus risk using the Naïve Bayes algorithm and to identify the most influential risk factors among hospitalized patients at Bhayangkara Bondowoso Hospital in 2024. Methods: A descriptive quantitative research design was employed, with data processing conducted using the Naïve Bayes algorithm and RapidMiner software. The sampling technique used was total sampling, resulting in 630 medical records, consisting of 315 patients diagnosed with type 2 diabetes mellitus and 315 non-type 2 diabetes mellitus patients. The analyzed variables included age, sex, body mass index (BMI), hypertension, smoking history, cardiovascular disease history, and family history. Results: The results indicated that the most influential risk factors for type 2 diabetes mellitus were age ?45 years, obesity-level BMI, and a history of hypertension. Conclusion: The Confusion Matrix evaluation with a 95%:5% split ratio produced an accuracy of 90.62%, a precision of 100%, and a recall of 81.25%. Suggestion: Hospitals are encouraged to strengthen health promotion programs regarding type 2 diabetes mellitus risk factors and involve patients’ families in educational interventions to help prevent disease-related complications.
Potential Drug–Drug Interactions in Medical Records of Patients With Atherosclerosis Annora Rizky Amalia; Alfina Nurrahman; Wahyuddin Nur
Jurnal Infokes Vol 16 No 2 (2026): Jurnal Ilmiah Rekam Medis dan Informatika Kesehatan
Publisher : Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47701/6w4x6c65

Abstract

Background: Atherosclerosis is a cardiovascular disease that often requires combination pharmacotherapy, which may result in potential drug–drug interactions (pDDIs). Identifying pDDIs is important to support safe and effective medication use. This study aimed to evaluate potential drug–drug interactions based on the medical records of patients with atherosclerosis. Methods: This descriptive retrospective study used a purposive sampling technique. Medical records of patients with atherosclerosis who met the inclusion criteria were reviewed. Potential drug–drug interactions were identified using Medscape, Drugs.com, and verified with Stockley's Drug Interactions, 12th edition. Results: Among 71 patients, 14 (19.72%) had at least one potential drug–drug interaction. A total of 14 potential interaction pairs were identified, with the aspirin–ramipril combination being the most frequent, accounting for 8 of the 14 interaction pairs (57.14%). Conclusion: Potential drug–drug interactions were identified among hospitalized patients with atherosclerosis, with aspirin–ramipril being the most frequent interaction. Although the identified interactions were potential rather than clinically confirmed events, the findings highlight the importance of medication review and appropriate therapy monitoring to support patient safety.
Evaluating U-Net Segmentation in Vgg16-Based Leukemia Classification: A Comparative Study Rizky Vera Oktarina; Afu Ichsan Pradana; Vihi Atina; Farahwahida Mohd
Jurnal Infokes Vol 16 No 2 (2026): Jurnal Ilmiah Rekam Medis dan Informatika Kesehatan
Publisher : Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47701/5d37ge60

Abstract

Background: Leukemia is a malignant hematological disorder characterized by abnormal proliferation of white blood cells (WBCs), affecting over 474,000 patients globally each year, with manual diagnosis limited by inter-observer variability of up to 40%. Objective: This study evaluates whether U-Net-based WBC segmentation improves leukemia classification by comparing three configurations: VGG16 on original images, VGG16 with U-Net-predicted masks, and VGG16 with ground truth masks. Methods: A total of 3,256 ALL microscopic blood smear images were divided into training, validation, and testing sets (70:10:20). U-Net was trained using a combined Binary Cross-Entropy and Dice loss, and the segmentation outputs were used as inputs for VGG16 classification. Performance was evaluated using DSC, IoU, accuracy, precision, recall, F1-score, and AUC-ROC. Results: U-Net achieved a DSC of 0.7885 and an IoU of 0.7134. VGG16 with U-Net masks achieved 98.62% accuracy (AUC 0.9958), while VGG16 with ground truth masks achieved 98.31%. The baseline VGG16 achieved the highest performance with 99.69% accuracy (AUC 0.9999). Conclusion: Explicit segmentation did not improve classification performance for the dataset used in this study and may introduce unnecessary computational overhead when discriminative features are already preserved in the original images. Suggestion: Future studies should evaluate heterogeneous datasets and advanced segmentation architectures to further investigate the contribution of segmentation to leukemia classification.
Development of a Web-Based Medical Terminology Learning Application Integrating Medical Term Components and Definitions Ayuk Era Edwina Noviana; I Made Sudarma Adiputra; Made Wahyu Aditya
Jurnal Infokes Vol 16 No 2 (2026): Jurnal Ilmiah Rekam Medis dan Informatika Kesehatan
Publisher : Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47701/qtv9kb45

Abstract

Background: Medical terminology is an essential competency for Medical Records and Health Information students because it supports accurate clinical documentation and diagnosis coding. However, students often experience difficulties in understanding medical terms and identifying their constituent elements, including prefixes, roots, and suffixes. Currently, few web-based medical terminology applications integrate medical term definitions together with prefix, root, suffix, and meaning information stored in a database into a single platform. This study aimed to develop a web-based medical terminology application as a learning medium. Methods: This study employed a Research and Development (R&D) approach using the Waterfall software development model. The application was developed using PHP and MySQL. User-entered medical terms were searched against a relational database containing predefined medical terms and prefix, root, suffix, and meaning information stored in the database. Matching records were retrieved and displayed, whereas unavailable terms generated search suggestions. The application was evaluated for functionality, interface design, and usability using black-box testing, interface design assessment, and the System Usability Scale (SUS) by two media experts and nine Medical Records and Health Information students. Results: The application achieved an average black-box testing score of 98%, indicating very valid functionality. Black-box testing confirmed that the application functioned as intended by retrieving and displaying predefined medical terminology records (e.g., bronchitis and rhinoplasty) together with the corresponding prefix, root, suffix, and meaning information stored in the database, while generating search suggestions for unavailable terms. The interface design assessment scored 96%, while the System Usability Scale achieved a score of 93, corresponding to Grade A+ with a Best Imaginable user experience. Conclusion: The developed application is feasible as a learning medium for medical terminology. The application assists users in understanding medical terms by displaying medical term definitions together with prefix, root, suffix, and meaning information stored in the database.
Requirements for an EMR-Based Virtual Reality Application for PROLANIS Education: A Literature and Process-Mapping Synthesis Setya Wijayanta; Adhani Windari; Mochammad Arief Darmawan; Sylvia Anjani; Faik Agiwahyuanto
Jurnal Infokes Vol 16 No 2 (2026): Jurnal Ilmiah Rekam Medis dan Informatika Kesehatan
Publisher : Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47701/dx5mcf46

Abstract

Background: PROLANIS participants require repeatable chronic-disease education, while electronic medical records (EMRs) and virtual reality (VR) offer opportunities for personalized and interactive delivery. Before prototype development, requirements must reflect health literacy, workflow, privacy, and VR safety. Methods: This descriptive initial Research and Development stage used a literature- and document-informed requirements synthesis, a proposed PROLANIS process map, and minimum EMR data-element mapping for Sidorejo Lor and Sidorejo Kidul Community Health Centers, Salatiga City. No interviews, focus-group discussions, participant surveys, direct observations, or patient-level EMR extraction were conducted at this stage. Candidate requirements were organized into domains and provisionally prioritized using MoSCoW as design input requiring later stakeholder validation. Results: Five preliminary requirement groups were identified: concise chronic-disease education, EMR-based personalization, adult- and older-user accessibility, data security and confidentiality, and operational support for health workers. Proposed must-have functions include a patient education profile, simple visualization of examination results, and hypertension and diabetes modules. Non-functional requirements include simple navigation, large text, audio narration, seated mode, short sessions, stop/pause options, and role-based data access. Conclusion: The study provides an initial, literature- and process-mapping-based requirements model rather than empirically validated local user needs. Participatory co-design, stakeholder validation, usability testing, VR-safety assessment, data-governance review, and evaluation of patient understanding are required before implementation claims can be made
Design of A Smartphone-Based Self-Service Patient Kiosk Application at Bhayangkara Hospital Bengkulu Reka Dwi Syaputra; Nofri Heltiani; Agusianita Agusianita
Jurnal Infokes Vol 16 No 2 (2026): Jurnal Ilmiah Rekam Medis dan Informatika Kesehatan
Publisher : Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47701/55q1s755

Abstract

Background: The manual outpatient registration process at Bhayangkara Level III Hospital Bengkulu leads to long queues and high waiting times, thus necessitating a technological solution. Objective: This study aims to design a smartphone-based Self-Service Patient Kiosk (APM) for outpatient polyclinics using Waterfall. Methods: This descriptive qualitative research with a software engineering approach applies Waterfall stages: requirements analysis, system design, interface design, and prototyping. Data were collected through observation, interviews, checklists from 11 officers, and system validation using UAT on 7 features, generating 77 responses. Results: Results showed 66 responses (85%) needed, and 11 (15%) not needed. The resulting APM prototype includes features for self-patient data input, polyclinic and doctor selection, appointment scheduling, digital queue printing, and real-time queue monitoring. The prototype has a user-friendly interface and integrates with patient registration digitalization. Conclusion:  In conclusion, the smartphone-based APM effectively accelerates and decentralizes the registration process. Suggestion: Future researchers should proceed to coding, SIMRS integration, and direct field testing.

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