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Resilience of health workers in improving the quality of digital-based services: an Islamic community development perspective Sudirahayu, Ika; Ghozali, Bahri; Tadjuddin, Nilawati; Sonhaji, Sonhaji
KONSELI: Jurnal Bimbingan dan Konseling (E-Journal) Vol 11 No 2 (2024): KONSELI : Jurnal Bimbingan dan Konseling (E-journal)
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/kons.v11i2.22642

Abstract

: The government is currently encouraging the use of digital technology to improve the quality of health services as a whole. Digital technology has the potential to optimize public health services by increasing efficiency, accessibility, and quality of service. However, along the way, digital-based health services are not easy to implement, there are changes in the work culture of the organization and resistance from users. In this case, resilience is needed, namely the ability of individuals to adapt to environmental changes, survive pressure and challenges, or the ability to overcome difficulties faced, especially in the face of continuous change in the context of a digital health service system. The resilience of health workers not only includes technical aspects, but also ethical values that are in accordance with Islamic teachings. From the perspective of developing an Islamic society, the quality of service must be in line with Islamic ethical and moral values. The purpose of this study is to describe how resilience impacts on improving the quality of digital-based services with a special emphasis on the Islamic community development approach. This study uses a descriptive qualitative method. Data were collected through in-depth interviews with health workers who provide digital-based services, and patients who receive services in outpatient installations, as well as observation and documentation. The results of the study indicate that the resilience of health workers can make a positive contribution to the quality of digital-based health services. The digitalization program can be optimized by implementing the stages of Islamic community development. The community is greatly helped to obtain health services. The novelty of this article lies in the combination of the concept of health worker resilience with the Islamic community development approach in improving the quality of digital-based health services.
Study of the coding system by doctors and nurses for the diagnosis of patient diseases in hospitals Sudirahayu, Ika; Mira ZAMIDA
RADINKA JOURNAL OF HEALTH SCIENCE Vol. 1 No. 4 (2024): Radinka Journal of Health Science (RJHS)
Publisher : RADINKA JAYA UTAMA PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56778/rjhs.v1i4.242

Abstract

Coding is one of the data processing activities to produce health information, namely by coding disease diagnoses based on ICD-10. The purpose of this study was to get an overview of the coding process by doctors and nurses for the patient's disease diagnosis and the suitability of the coding results at Panembang Senopati Hospital. A descriptive case study using a cross-sectional approach. The population in this study were officers and stakeholders as well as medical record documents for outpatient polyclinic patients, consisting of 9 doctor respondents, 10 nurse respondents, 1 respondent head of medical records, and 1 medical committee chairman. The sampling technique used is purposive sampling. The results of the study found that the coding process was carried out by doctors and nurses at Panemban Senopati Hospital, beginning with an appeal from the medical committee, which was issued with the consideration that the doctor knew more about the diagnosis made, the doctor disposed of it to the nurse if he did not have time to code. Doctors and nurses code using snippets. The diagnosis was coded by a doctor under the complete ICD-10 by 87%, while those that did not match were 13%. Diagnosis coded by nurses according to ICD-10 and completed by 82%, while those that are not appropriate are 18%. The diagnosis of entries by reporting officers according to ICD-10 and complete was 85.5%, while those who were not under ICD-10 were 14.5%.