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ANALISIS KEAKURATAN KODE DIAGNOSIS PADA KASUS TUBERKULOSIS BERDASARKAN ICD 10 DI RUMAH SAKIT PRIMA MEDIKA Ida Ayu Putu Feby Paramita; Putu Chrisdayanti Suada Putri; Gede Wirabuana Putra; Deva Eddy Romansyah; Luh Yulia Adiningsih; Putu Erma Pradnyani
MAINTEKKES : The Journal of Management Information and Health Technology Vol 1 No 1 (2023): Juni
Publisher : Politeknik Kesehatan Kartini Bali

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Abstract

Pengkodean diagnosis penyakit di RSU Prima Medika dilakukan terpisah antara pelayanan rawat inap dan rawat jalan. Berdasarkan hasil studi pendahuluan dari total sampel 30 rekam medis dengan diagnosis Tuberkulosis terdapat 11 rekam medis dengan kode diagnosis yang tidak tepat dan 19 rekam medis yang tepat. Penelitian ini bertujuan menganalisis ketepatan kode diagnosis pada kasus Tuberkulosis berdasarkan ICD 10 di RSU Prima Medika Tahun 2022 menggunakan metode analisis 5M. Jenis penelitian ini menggunakan analisis kualitatif yaitu dengan menarasikan hasil penelitian berdasarkan data - data yang didapatkan. Informan pada penelitian ini berjumlah 5 orang dan data pendukung 30 rekam medis. Berdasarkan hasil penelitian diketahui berdasarkan unsur Man diketahui koding diagnosa sudah dilakukan oleh koder untuk pelayanan rawat inap, sedangkan untuk rawat jalan masih dilakukan oleh perawat. Berdasarkan unsur metode bagian rekam medis sudah memiliki SPO Koding, namun belum pernah dilakukan sosialisasi SPO. Berdasarkan unsur machine, untuk koding rawat inap sudah menggunakan ICD 10 dan SIMRS tetapi untuk rawat inap hanya menggunakan pedoman kode ICD 10 dan SIMRS. Berdasarkan unsur machine pelayanan rawat inap maupun rawat jalan menggunakan rekam medis elektronik dan rekam medis konvensional. Berdasarkan unsur money diketahui bahwa petugas belum mengikuti pelatihan khusus terkait kodefikasi diagnosis. Disimpulkan berdasarkan hasil analisis 5M terhadap ketepatan kode diagnosis tuberculosis diketahui bahwa yang menjadi penyebab ketidaktepatan kode diagnosis dari berasal dari unsur Man, Metode, Machine, Material dan Money.
Gambaran Implementasi Aplikasi E-Kohort sebagai Media Pencatatan dan Pelaporan di Denpasar Selatan Putu Erma Pradnyani; Gede Wirabuana Putra; Luh Yulia Adiningsih; Putu Chrisdayanti Suada Putri; Maria Gabriela Yuniati; Ida Bagus Wikrantha Punarbawa
Journal of Health Management Research Vol 3 No 1 (2024): Journal of Health Management Research
Publisher : Unit Penelitian & Pengabdian Masyarakat STIKes Adi Husada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37036/jhmr.v3i1.510

Abstract

Background: Maternal and child health is one part of the SDGs. The transformation of health technology requires the development and use of digitalization technology in the health sector. The e-KIA Cohort application was introduced in 2021 by the Ministry of Health and in 2022 it will only begin to be implemented in Denpasar City. However, until now there has been no research describing the implementation of e-Cohort in Denpasar City. Aims: : This research is to describe the implementation of the E-Cohort Application in recording and reporting in the South Denpasar. Methods: The method used in this research is descriptive qualitative. This qualitative research was carried out using an in-depth interview method adapted to the 5M theoretical approach, namely Man, Money, Method, Material and Machine. There were 5 informants for this research. Data processing was carried out using thematic analysis techniques. Results: Description of the implementation of the KIA e-Cohort from human factors. All informants have participated and received orientation regarding the E-Cohort application. The money factor shows that there is an orientation budget and an implementation budget. The method factor shows that there is an standard operational procedure created by each health facility. The machine factor shows that there are still obstacles in signal and data input infrastructure. Material factors show that the flow of using the e-cohort application is still accompanied by manual cohort filling and the use of this application is not yet used by all health workers in Denpasar so that the results of recording and reporting can be used optimally.. Conclusion: The implementation of the e-cohort application is already but there are still several obstacles. It is hoped that the development of this application can adapt to the situation and needs of users and that there will be training in using the E-Cohort application
Analysis of Digital Literacy Sources to Identify The Relationship Between Population Income, Socio-Economic and Subjective Well-Being Tanti Widia Nurdiani; Nofirman; Muhammad Reza Aulia; Gede Wirabuana Putra; Iwan Henri Kusnadi
Jurnal Sistim Informasi dan Teknologi 2024, Vol. 6, No. 2
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60083/jsisfotek.v6i2.350

Abstract

This research aims to analyze income inequality and subjective welfare in a region. This study uses microdata from household surveys to calculate income inequality. We conducted this survey using an identical questionnaire with a sample of adults. The sample size is around 100. One of the main findings of this study is that regions that were traditionally considered to have greater inequality no longer have this attribute when compared to regional and global levels. This reflects a shift in the pattern of inequality in the region. A positive correlation was also found between income inequality and subjective well-being, as well as a curve when comparing subjective well-being inequality with products. These results suggest that there is a complex relationship between these factors in the context of inequality. However, when compared with the level of subjective well-being, there is a very negative relationship, which may indicate an individual's preference to live in areas that are more egalitarian in terms of well-being. This indicates that subjective well-being perceptions are also influenced by factors other than income, such as access to facilities and services. Although these results are interesting, it is important to remember that this study has problems and limitations in terms of the survey and methods used. Therefore, these results should be interpreted with caution and can serve as a basis for further research to understand more deeply the relationship between income inequality, subjective well-being, and other factors that influence perceived well-being.