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All Journal Iris Journal of Health Information Management (IJHIMa)
Yastori Yastori
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Computer Science & IT Decision Sciences, Operations Research & Management Health Professions Public Health Social Sciences

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Analisis Statistik Asuhan Kesehatan Pasien Rawat Inap Di Rumah Sakit Umum Daerah (RSUD) dr. Rasidin Padang Dina Oktavia; Ressa Oashttamadea; Yastori Yastori
Iris Journal of Health Information Management Vol 2 No 2 (2022): Iris Journal of Health Information Management
Publisher : AKADEMI PEREKAM DAN INFORMASI KESEHATAN (APIKES) IRIS PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61723/ijhima.v2i2.96

Abstract

Medical records are files that contain records and documents including patient identity, examination results, treatment that has been given, as well as actions and other services that have been provided to patients. Data collection was carried out at the Regional General Hospital Dr. Rasidin Padang by recording data on inpatients who were discharged from the period March 01 - March 31, 2018, so that data were obtained as many as 251 patients with 103 beds. Then data processing was carried out using a computer with the Microsoft Excel application program. Furthermore, the data were analyzed and the results of health care statistical processing were presented in the form of tables and Barber Johnson charts. From the grouping of the most common diagnoses based on ICD-10 at the Regional General Hospital Dr. Rasidin Padang for the period March 01 - March 31, 2018, it was found that the most common code was code A91 as many as 21 patients with a diagnosis of Dengue Haemorrhagic Fever (DHF).Grouping the main diagnoses based on bowel movements in ICD-10 resulted in the highest frequency of diagnoses being BAB I (Certain infectious and paracitic diseases) and BAB XV (Pregnancy, chilbirth and pueperium) as many as 12.75% with a total of 32 patients each. The procedure grouping based on ICD-9 CM in RSUD dr. Rasidin Padang for the period March 01 - March 31, 2018 was SC with procedure code 74.99 as many as 14. Based on the DTD code and its definition, it is known that the most common diagnosis is DTD 032.1 (Dengue hemorrhagic fever) as many as 21 patients. In the RL4a Format table, it is known that the most age group as an inpatient at RSUD dr. Rasidin Padang for the period March 01 - March 31, 2018 is the age group 45 - 64 years as many as 70 patients with female gender as many as 37 patients and male as many as 33 patients, while based on the disposition died as many as 2 and live as many as 249. After data processing, it was obtained that the percentage of BOR at RSUD Dr. Rasidin Padang for the period March 01 - March 31, 2018 had not reached an efficient number because the value obtained was 26.65% or 27%, while the BOR efficiency rate was 60-85%. BTR is 2.44 or 2 times, because the calculation of the BTR number is per year, the BTR efficiency cannot be determined. TI is 9.33 or 9 days. This means that the TI value is not yet at an efficient point, because the TI efficiency value is 1 - 3 days.
Korelasi Nilai Bed Occupancy Rate dengan Jumlah Kunjungan Pasien di RSUD Lubuk Basung Melati Anala; Yastori Yastori; Syamsul Kamal
Iris Journal of Health Information Management Vol 1 No 2 (2021): Iris Journal of Helath Information Management
Publisher : AKADEMI PEREKAM DAN INFORMASI KESEHATAN (APIKES) IRIS PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61723/ijhima.v1i2.78

Abstract

Bed Occupancy Rate (BOR) data can be used to determine the level of service, to know the quality of hospital.The purpose of this paper is to determine the correlation or drill value with number patient visits at Lubuk Basung Hospital for the January-Februay 2017 periode.The data processed is secondary data of inpatients at Lubuk Basung Hospital for the January-February 2017 period, data obtained for 300 patients with a total of 109 beds, then data processing is carried out using the Microsoft Exel application program and utilizing the Pivot Table feature.Statistical processing was analyzed and presented in the form of tables and graphs by Barber Johnson.The results of data processing obtained a BOR of 28.80%, not efficient because the BOR is 60-85% efficient.BTR is 33 times, not efficient because BTR is 40-50 times a year.TI is 8 days, inefficient because it is 1-3 days efficient and ALOS is 4 days, inefficient because it is 6-9 days efficient. Based on the RL4a report,the highest age group was the 45-64 year age group with 78 patients, the highest gender grouping was male 153 patients and female 147 patients.Based on the living disposition of 295 patients, 5 patients died.The distribution of patients by region was mostly in Agam with 259 patients. The highest diagnosis was Pneumonia, Unspecified with a code of J18.9 with 27 diagnoses.The main diagnosis grouping based on defecation in ICD-10, the highest diagnosis was Chapter I, namely Certain Infectious and Parasite Disease with 20.67% totaling 62 diagnoses. There is a positive correlation between the number of patient visits and the number of bed usage.
Analysis of Medical Procedures Coding Based on ICD-9 CM Nisa Azhari; Yastori Yastori; Ressa Oashttamadea; Annisa Wahyuni
Iris Journal of Health Information Management Vol 2 No 1 (2022): Iris Journal of Helath Information Management
Publisher : AKADEMI PEREKAM DAN INFORMASI KESEHATAN (APIKES) IRIS PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61723/ijhima.v2i1.76

Abstract

The use of the ICD-9 CM in coding medical actions will make it easier for us to classify patient action codes and facilitate reporting and facilitate BPJS claims in the JKN era which are useful as supporting administration, management and health research. This research was conducted at the Regional General Hospital on February 2022. This study aims to determine the highest medical treatment based on ICD-9 CM. This study uses a retrospective descriptive method with a quantitative approach. The research design used in this study was a descriptive cross-sectional study. The population used by all patient medical record files on March 2022 was 568 medical record files. From the results of this study, it is known that there are 3 highest medical actions, namely Tonsilectomy action of 14 patients with code 28.22, Appendectomy action of 12 patients with code 47.09, Mastectomy action of 9 patients with code 85.41.
Pengolahan Data Statistik Rumah Sakit Bhayangkara Padang Menggunakan Microsoft Excel Periode 1 Januari – 31 Maret Ridho Penelly; Sayati Mandia; Yastori Yastori
Iris Journal of Health Information Management Vol 2 No 2 (2022): Iris Journal of Health Information Management
Publisher : AKADEMI PEREKAM DAN INFORMASI KESEHATAN (APIKES) IRIS PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61723/ijhima.v2i2.99

Abstract

Medical record is a file that contains notes and documents about the patient's identity, examination, actions, and other services that have been provided to patients. The purpose of this paper is to determine the processing of statistical data at Bhayangkara Padang Hospital using Microsoft Excel for the period January 1 – March 31, 2015 with 385 inpatients and 62 beds. Then, the data was processed using a computer using the Microsoft Excel application program. Statistical processing was analyzed and presented in the form of tables and graphs by Barber Johnson. Based on the RL4a report, the most age group is the age group of 25-44 years with 247 patients with male sex as many as 12 patients, and female as many as 235 patients, while based on the disposition of life 385 patients, and 0 patients who died. After processing the data, the BOR was 18.3%, rounded to 18%, the BOR value obtained was inefficient. BTR as much as 6.21 times, because the calculation of the BTR figure is per year, then BTR cannot be calculated. IT is 11.8 days or 12 days, the IT value obtained is inefficient. And ALOS is 2.68 days or 3 days, the ALOS value obtained is inefficient.
Co-Authors Annisa Wahyuni Dina Oktavia Melati Anala Nisa Azhari Ressa Oashttamadea Ridho Penelly Sayati Mandia Syamsul Kamal