Information System for Calculating Medical Record Personnel in the Industrial Revolution Era 4.0

Authors

  • Cecilia Farrona Al Hadri Politeknik Indonusa Surakarta
  • Ahmad Sunandar Politeknik Indonusa Surakarta

DOI:

https://doi.org/10.32486/aksi.v6i1.14

Abstract

Medical recorders and health information are some of the health workers who are included in the "medical technical" group where the task of medical recorders and health information is to manage patient data into health information that is useful for decision making. Planning for the needs of health personnel must be following the needs in the field in terms of type, qualification, quantity, and procurement. Excess health personnel will result in unproductive use of work time, while a shortage of health workers will result in excessive workloads so that in planning the needs of health workers an analysis of the workload is required. This study was conducted to obtain information on the ideal number of medical record health personnel using workload calculations. This research method is based on the calculation method of Work Load Indicator Staff Need (WISN) through the implementation of a website-based information system at XYZ Hospital. Based on the results of this study, it shows that the ratio of <1 HR in the unit is not sufficient and not following the workload, namely the number of human resources in the Old Patient TPPRJ with a ratio value of 0.33; RJ coding ratio value 0.41; and Analysis with a ratio value of 0.38. Lack of officers at TPPRJ for Old Patients, RJ Coding, and Analysis resulted in poor service, so it is necessary to add medical personnel to that section when conditions are crowded.

References

Alam, S., Raodhah, S., & Surahmawati, S. (2018). Analisis Kebutuhan Tenaga Kesehatan (Paramedis) Berdasarkan Beban Kerja Dengan Menggunakan Metode Workload Indicator Staffing Needs (WISN) di Poliklinik Ass-Syifah UIN Alauddin Makassar. Al-Sihah: The Public Health Science Journal, 10(2), 216–226. https://doi.org/10.24252/as.v10i2.6903

Bastuti, S., & Teddy, T. (2017). Analisis persediaan barang dengan metode time series dan sistem distribution requirement planning untuk mengoptimalkan permintaan barang di pt. asri mandiri gemilang. In PROCEEDINGS, 116–126.

Cahyaningrum, N., Noor, H. L., Anggita, R., & Dewati, H. (2018). Unit Rekam Medis Berdasarka N Metode Wisn. 8(2), 40–54. Retrieved from https://www.ejurnalinfokes.apikescm.ac.id/index.php/infokes/article/view/204

Ekawati, A. (2018). The Analysis Of Workload And Need Of Nurse With Wisn Method In Inpatient Room In Hospital X In Yogyakarta. Jurnal Medicoeticolegal Dan Manajemen Rumah Sakit, 7(1), 69–75. https://doi.org/10.18196/jmmr.7158

Govule, P., Mugisha, J. F., Katongole, S. P., Maniple, E., Nanyingi, M., Anguyo, R., & Onzima, D. (2015). Application of Workload Indicators of Staffing Needs ( WISN ) in Determining Health Workers ’ Requirements for Mityana General Hospital , Uganda. International Journal of Public Health Research, 3(5), 254–263.

Gultom, S. P., & Sihotang, A. (2019). Analisa kebutuhan tenaga rekam medis berdasarkan beban kerja dengan metode wisn di bagian pendaftaran Rumah Sakit Umum Haji Medan Tahun 2018. Jurnal Ilmiah Perekam Dan Informasi …, (1), 524–532. Retrieved from http://jurnal.uimedan.ac.id/index.php/JIPIKI/article/view/72

Islamy, I. T., Astuti, H. M., & Wibowo, R. P. (2020). Perancangan dan Pembuatan Sistem Pelaporan Kinerja Berbasis Online untuk Pranata Komputer. JUITA: Jurnal Informatika, 8(1), 91. https://doi.org/10.30595/juita.v8i1.5873

McQuide, P. A., Kolehmainen-Aitken, R. L., & Forster, N. (2013). Applying the workload indicators of staffing need (WISN) method in Namibia: Challenges and implications for human resources for health policy. Human Resources for Health, 11(1). https://doi.org/10.1186/1478-4491-11-64

PERMENKES RI No 269/MENKES/PER/III/2008. (2008). permenkes ri 269/MENKES/PER/III/2008. Permenkes Ri No 269/Menkes/Per/Iii/2008, Vol. 2008, p. 7.

Ravhengani, N. M., & Mtshali, N. G. (2017). The Views of Health Workforce Managers on the Implementation of Workload Indicators of Staffing Need (WISN) Method in Primary Healthcare Settings in South Africa. International Journal of Studies in Nursing, 3(1), 132. https://doi.org/10.20849/ijsn.v3i1.354

Sajjad Kayani, N., Naeem Khalid, S., & Kanwal, S. (2016). A Study to Assess the Workload of Lady Health Workers in Khanpur UC, Pakistan by Applying WHO’s WISN Method. Athens Journal of Health, 3(1), 65–80. https://doi.org/10.30958/ajh.3-1-4

Soesilowati, R., & Ratnasari, D. (2015). Analisis Peran Aktivitas Dokter Umum Dengan Metode Workload Indicator Of Staffing Need (Wisn) Di Puskesmas Se-Kabupaten Bantul Yogyakarta. XIII(2), 37–47

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Published

2021-10-02

How to Cite

Al Hadri, C., & Sunandar, A. (2021). Information System for Calculating Medical Record Personnel in the Industrial Revolution Era 4.0. Jurnal AKSI (Akuntansi Dan Sistem Informasi), 6(1). https://doi.org/10.32486/aksi.v6i1.14

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