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All Journal International Journal of Electrical and Computer Engineering International Journal of Evaluation and Research in Education (IJERE) Media Kesehatan Masyarakat Indonesia NUTRIRE DIAITA Jurnal Kebijakan Kesehatan Indonesia UNEJ e-Proceeding JIPI (Jurnal Ilmu Perpustakaan dan Informasi) Public Health of Indonesia Indonesian Journal of Artificial Intelligence and Data Mining Jurnal Ilmiah Bidan Jurnal Manajemen Kesehatan Yayasan RS.Dr. Soetomo Window of Health : Jurnal Kesehatan Jurnal Rekam Medis dan Informasi Kesehatan JOURNAL OF SCIENCE AND SOCIAL RESEARCH Jurnal Manajemen Informatika Jurnal Kesehatan Indonesia Jurnal Manajemen Informasi Kesehatan Indonesia (JMIKI) Indonesian of Health Information Management Journal (INOHIM) Health Information : Jurnal Penelitian PREPOTIF : Jurnal Kesehatan Masyarakat Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Jurnal Ners Jurnal Ilmiah Perekam dan Informasi Kesehatan Imelda (JIPIKI) Journal of Nursing and Public Health (JNPH) Indonesian Journal of Global Health research Jurnal Health Sains Jurnal Kesehatan Tambusai J-REMI : Jurnal Rekam Medik dan Informasi Kesehatan MAHESA : Malahayati Health Student Journal Health Publica : Jurnal Kesehatan Masyarakat Jurnal Impresi Indonesia International Journal of Science and Society (IJSOC) Malcom: Indonesian Journal of Machine Learning and Computer Science Jurnal Sosial dan Sains Indonesian Journal of Health Information Management Services (IJHIMS) International Journal of Health and Information System (IJHIS) Detector: Jurnal Inovasi Riset Ilmu Kesehatan Promotor: Jurnal Mahasiswa Kesehatan Masyarakat Al Makki Health Informatics Journal E-Amal: Jurnal Pengabdian Kepada Masyarakat Holistik Jurnal Kesehatan Jurnal Akuntansi, Ekonomi dan Manajemen Bisnis
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Hubungan Ketepatan Penulisan Diagnosis Dengan Keakuratan Kode Diagnosis Obstetri Di RSIJ Sukapura Menna, Yasinta Rosalia; Muchlis, Husni Abdul; Hosizah, Hosizah; Yulia, Noor
J-REMI : Jurnal Rekam Medik dan Informasi Kesehatan Vol 7 No 2 (2026): March (Issue in Progress)
Publisher : Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/j-remi.v7i2.5435

Abstract

Accurate documentation of diagnoses in medical records is essential, as inaccurate diagnostic statements may lead to incorrect diagnostic coding. Preliminary observations indicated that among 18 medical records, 61% of diagnoses were written accurately, while 78% of diagnostic codes were accurate. This study aimed to examine the relationship between the accuracy of diagnostic documentation and the accuracy of obstetric diagnostic coding at RSIJ Sukapura Hospital. This quantitative study employed a cross-sectional design and utilized the Chi-square test, with Fisher’s exact test applied as appropriate. Based on the analysis of 92 medical records, 77.2% of diagnoses were documented accurately and 88.0% of diagnostic codes were accurate. The results revealed a statistically significant association between the accuracy of diagnostic documentation and the accuracy of obstetric diagnostic coding (p = 0.002 < 0.05; OR = 8.375). This indicates that accurate diagnostic documentation increases the likelihood of producing accurate obstetric diagnostic codes by 8.375 times. Physicians in charge are therefore expected to pay closer attention to appropriate medical terminology when documenting diagnoses to ensure greater accuracy.
Forecasting Kapasitas Tempat Tidur di Rumah Sakit Islam Jakarta Pondok Kopi Sinlae, Andrey Reynaldi Devada; Hosizah, Hosizah; Nurmalasari, Mieke
J-REMI : Jurnal Rekam Medik dan Informasi Kesehatan Vol 7 No 2 (2026): March (Issue in Progress)
Publisher : Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/j-remi.v7i2.5727

Abstract

In 2022–2023, bed utilization at RSIJ Pondok Kopi was inefficient according to the Barber–Johnson (GBJ) standard, with Bed Occupancy Rates (BOR) of 53% in 2022 and 74% in 2023, both below the ideal range. This inefficiency was partly due to the absence of bed capacity adjustments based on accurate forecasting. This study aimed to conduct bed capacity forecasting at RSIJ Pondok Kopi. This applied retrospective study employed data mining techniques using Tableau with the Exponential Smoothing algorithm. Data on inpatient days and discharged patients from 1992 to 2023 were collected and processed following the Knowledge Discovery in Databases (KDD) framework. One optimal forecasting model was selected for each variable. Bed capacity projections were calculated using BOR assumptions of 75% and 85%, and Turnover Interval (TOI) assumptions of 1 and 3 days, with the Barber–Johnson chart used for evaluation. Forecasted bed requirements were estimated at 183–192 units (2024), 185–194 (2025), 187–196 (2026), 189–197 (2027), and 190–199 (2028). Compared with actual data through May 2024, the hospital had 10 excess beds. Therefore, more intensive promotional strategies are recommended to improve bed utilization.
PERANCANGAN APLIKASI SISTEM ANTRIAN PASIEN POLIKLINIK PENYAKIT DALAM DI RSUD BUDHI ASIH CAWANG JAKARTA TIMUR Rospita, Ida Putri S; Hosizah, Hosizah; Uddin, Badie
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 9, No 1 (2026): February 2026
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v9i1.5772

Abstract

Abstract: Budhi Asih Regional General Hospital in Cawang, East Jakarta is a type B+ referral and teaching hospital with a high number of outpatient visits, particularly in the Internal Medicine Polyclinic, which serves an average of 200–250 patients daily. This condition often leads to queue congestion, long waiting times, and patient discomfort. This study aims to design a digital-based queue system application to improve service efficiency, reduce patient congestion, and provide real-time queue information. The research method applied was prototyping, consisting of user requirement identification, initial design, system testing using black box testing, followed by evaluation and revision. Data were collected through observation, interviews with three registration officers, and questionnaires. The results showed that the application performed according to user needs with minor improvements required in the user interface design. The implementation of this system is expected to reduce waiting times, enhance the regularity of service schedules, and support the achievement of hospital minimum service standards in accordance with Ministry of Health regulations. Keywords: Queue System, Prototyping, Black Box Testing, Healthcare Services, Budhi Asih Cawang Regional Hospital Abstrak: RSUD Budhi Asih Cawang Jakarta Timur merupakan rumah sakit rujukan tipe B+ pendidikan dengan jumlah kunjungan rawat jalan yang tinggi, khususnya pada Poliklinik Penyakit Dalam yang rata-rata melayani 200–250 pasien perhari. Kondisi ini kerap menimbulkan kepadatan antrean, lamanya waktu tunggu, serta ketidaknyamanan pasien. Penelitian ini bertujuan merancang aplikasi sistem antrian berbasis digital untuk meningkatkan efisiensi layanan, meminimalkan penumpukan pasien, dan menyediakan informasi antrean secara real-time. Metode penelitian menggunakan pendekatan prototyping dengan tahapan identifikasi kebutuhan (user requirement), perancangan desain awal, pengujian sistem menggunakan black box testing, serta evaluasi dan revisi. Data diperoleh melalui observasi, wawancara dengan tiga petugas pendaftaran, dan kuesioner. Hasil pengujian menunjukkan bahwa aplikasi berjalan sesuai kebutuhan pengguna dengan beberapa perbaikan minor pada tampilan antarmuka. Implementasi sistem ini diharapkan mampu mengurangi waktu tunggu, meningkatkan keteraturan jadwal pelayanan, serta mendukung pencapaian standar pelayanan minimal rumah sakit sesuai regulasi Kementerian Kesehatan. Kata kunci: Sistem Antrian, Prototyping, Black Box Testing, Pelayanan Kesehatan, RSUD Budhi Asih
PENGUKURAN BEBAN KERJA PEREKAM MEDIS DAN INFORMASI KESEHATAN PASCA PENERAPAN REKAM MEDIS ELEKTRONIK DI INSTALASI REKAM MEDIS RSUD KABUPATEN TANGERANG Ikaningsih, Kurnia Tisna; Pertiwi, Tria Saras; Hosizah, Hosizah; Temesvari, Nauri Anggita
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 9, No 1 (2026): February 2026
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v9i1.5874

Abstract

Abstract: Workload is the accumulation of tasks and responsibilities that must be carried out by employees or staff in accordance with the targets set by their supervisors within a specific period of time. The transition from a manual system to an electronic system has the potential to affect the workload of Medical Record and Health Information (MRHI) personnel. This study aims to measure the workload of MRHI staff after the implementation of Electronic Medical Records (EMR) in the Medical Records Department, using job analysis and workload analysis methods based on Regulation of the Ministry of Administrative and Bureaucratic Reform (KEMENPAN RB) No. 1 of 2020. This is a descriptive study with a purposive sampling approach, involving 10 out of 34 MRHI staff with a D3-level education. Data were collected through interviews and direct observation.The results show that the workload for new outpatient registration is 4 minutes, returning outpatients 3 minutes, inpatients 13.4 minutes, and self-registration via APM 5 minutes—requiring 16 staff. Assembling takes 10 minutes per medical record, requiring 2 staff; outpatient coding takes 1 minute and inpatient coding 3.5 minutes per record, requiring 3 coders. Filing and distribution take 6 and 5 minutes per record respectively, requiring 6 staff. Retention and digitization of active and inactive records take 10 minutes per record, requiring 5 staff. Reporting requires 15,240 minutes in total, with 3 reporting staff. Analysis of EMR completeness requires 15 minutes per record, needing 2 expert MRHI staff, while EMR monitoring requires 3 expert MRHI staff. The total workforce required is 35 skilled MRHI personnel and 5 expert MRHI professionals. Keyword: Electronic Medical Records, Workload, Medical Record and Health Information, Job Analysis Abstrak: Beban kerja merupakan akumulasi tugas dan tanggung jawab yang harus dilaksanakan oleh karyawan atau petugas sesuai dengan target yang telah ditentukan oleh atasan dalam periode waktu tertentu. Transisi dari sistem manual ke sistem elektronik berpotensi mempengaruhi beban kerja Perekam Medis dan Informasi Kesehatan (PMIK) Penelitian ini bertujuan untuk mengukur beban kerja PMIK pasca penerapan RME di Instalasi Rekam Medis menggunakan metode analisis jabatan dan analisis beban kerja sesuai Peraturan KEMENPAN RB No. 1 Tahun 2020. Penelitian ini merupakan penelitian deskriptif dengan pendekatan purposive sampling, melibatkan 10 orang dari total 34 petugas di instalasi rekam medis dengan pendidikan D3 PMIK. Pengumpulan data dilakukan melalui wawancara dan observasi. Hasil pengukuran menunjukkan bahwa beban kerja pendaftaran rawat jalan pasien baru 4 menit,pasien lama 3 menit untuk pasien rawat inap 13,4 menit sedangkan APM 5 menit dibutuhkan sebanyak 16 petugas, Beban kerja assembling 10 menit/BRM dibutuhan 2 tenaga assembling, Beban kerja koding pasien rawat jalan 1 menit , koding rawat inap 3,5 menit/BRM di butuhkan 3 tenaga koding, beban kerja filling 6 menit/ BRM dan distribusi 5 Menit/BRM memerlukan 6 petugas, Beban kerja petugas retensi dan alih media berkas rekam medis in akif dan aktif 10 menit/BRM dan dibutuhkan 5 tenaga, Beban kerja pelaporan 15.240 menit kebutuhan tenaga pelaporan 3 petugas , beban kerja analisa kelengkapan rekam medis elektronik 15 menit/RME di butuhkan 2 tenaga PMIK ahli dan monitoring rekam medis elektroni k sebanyak 3 tenaga PMIK ahli, total kebutuhan tenaga PMIK adalah 35 tenaga PMIK terampil dan 5 orang PMIK ahli. Kata Kunci: Rekam Medis Elektronik, Beban Kerja, Perekam Medis dan Informasi Kesehatan, Analisis Jabatan
Perancangan Buku Saku Elektronik Penggunaan Kode Diagnosis JKN Rumah Sakit Soeharto Heerdjan Purba, Andrea Krisler; Muchlis, Husni Abdul; Hosizah, Hosizah; Ambarwati, Ambarwati; Muzdalifah, Ifah
Jurnal Ilmiah Perekam dan Informasi Kesehatan Imelda (JIPIKI) Vol. 11 No. 1 (2026): Jurnal Ilmiah Perekam dan Informasi Kesehatan Imelda Edisi Februari
Publisher : Akademi Perekam dan Informasi Kesehatan Imelda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52943/jipiki.v11i1.2072

Abstract

Hospitals frequently encounter challenges in the BPJS Kesehatan claims process, such as diagnostic coding errors, data discrepancies, and incomplete medical record documentation. These issues result in claims delays, financial disruptions, and a decline in service quality. This study aims to design an electronic pocketbook of National Health Insurance (JKN) diagnosis codes as a guide for healthcare workers to expedite and simplify the claims process. The study was conducted at Soeharto Heerdjan Hospital from October to December 2024 using the Research and Development (R&D) method with the ADDIE model in three stages: analysis, design, and development. Six informants from the analysis and coding unit and the patient verification and assurance unit were involved as data sources. Data collection techniques included in-depth interviews, questionnaires, and document reviews, followed by descriptive analysis. The results showed that the 34-page electronic pocketbook, designed in PDF format, contains diagnoses, ICD-10 codes, severity levels, and management procedures, with hyperlinks for easy information retrieval. The feasibility test showed a validity level of 95.8% for content and 91.6% for media. Therefore, this pocketbook is highly valid and suitable for use as a guide in the BPJS claims process, and can support work efficiency and improve the quality of hospital services.
Co-Authors Agustin, Karisna Agustin Agustina, Sri Jumiati Alumni STIKES Husada Borneo Amanda Ambarwati AMELIA FEBRIANA, AMELIA Andani, Evi Andry Aris Susanto Atmojowati, Fitria Azza, Azizatul Badie Uddin Basuki Hari Darmawan, Lusiana Dedy Kurniawan desi aryani Dewi, Sukmala Duta Liana Endang Titi Amrihati, Endang Titi Fachmi Tamzil Febriyana, Vira Firdayana Firdayana Fitrisia, Gita Hari Basuki Harna, Harna Hera Adrianti Herey, Peter Herliza Husni HILHAMI, HILHAMI Husni Abdul Muchlis Husni, Herliza Ichwan, Arief Ichwani, Arief Ikaningsih, Kurnia Tisna Irmawan, - Jayanti Aswinasih Julianti, Anissa Julita D. L. Nainggolan JUS’AT, IDRUS Kholida Syiah Nasution Krismawati, Dewi Kuntoro Kuntoro Kuntoro Kuntoro Kurniawati, Anastasia Cyntia Dewi Larasati , Dhiar Niken Latumapina, Stella Florence Imanuela Lazuardy, Achmad Sirri Lepong, Maria Lestari, Jayanti Lisda Novilia Marzo, Roy Rillera Mauren Michaela, Sarah Menna, Yasinta Rosalia Meo, maria Hiasinta Michaela, Sarah Mauren Mulyo Wiharto Munggaran, Rahayu Putri Mustikawati, Intan Silviana Muzdalifah, Ifah Nanda Dina Cahya Nisa Rafilda Khafidah Novi Mulyani Putri Nungky Nurkasih Kendrastuti Nurhasanah, Raden Nurmalasari, Mieke Oktavianti, Putri Panutun, Satria Bagus Peter Herey Purba, Andrea Krisler Purwanti, Amalia Indah Puspita, Kori Putri, Tacyah Kholifah Qomarania, Witri Uama Rafidah, Arlien Rona Rahmawati Rahmawati Rahmawati, Danisa Ocha Rahmayani, Kamila Zainab Ramadhani, Rizky Ramdhan, Yanuar RATNA INDRAWATI Resia Perwirani Rina Anindita Rina Mutiara Rina Mutiara, Rina Rina Yuliana Rischa Zahra Bellanisa Rosida, Putri Lailatul Rospita, Ida Putri S Rubina, Tirzhana Jean Rusman Efendi Salsabilla, Jihan Saskia Salshabila, Andini Dwi Saqil Ahmad Saragih, Pestaria Seiswati, Siswati Sella Yossiant Selviani, Selviani Sihombing, Apriliana Silalahi, Rani Gartika Holivia Sinlae, Andrey Reynaldi Devada Siswati Sri Rahayu STIKES Husada Borneo Sulistianingsih Sulistianingsih Sunarti Sutanto, Imam Tamzil, Fachmi Temesvari, Nauri Anggita Tita Ardianti Tria Saras Pertiwi Umi Khoirun Nisak Wahyuni, Fatia Fiqri Widjaja, Lily Widodo, Agus Widodo Witri Zuama Qomarania Wittri, Zalipa Yani Haida Shanti Yati Maryati Yoga Utomo Yulia, Noor Yuliani, Dian Yunita Fauzia A. Yunita Fitri Widiyawati Yusnaeni Yusnaeni, Yusnaeni Zuama, Witri