Claim Missing Document
Check
Articles

Found 2 Documents
Search

The Workload of Health Workers in The Medical Record Unit During the Covid-19 Pandemic Riska Rosita; Devi Prasetyo Ramadani; Diyan Nurhaini; Ratih Kusumaningtyas; Indra Agung Yudistiro; Harjanti
Proceeding of International Conference on Science, Health, And Technology 2021: Proceeding of the 2nd International Conference Health, Science And Technology (ICOHETECH)
Publisher : LPPM Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (494.277 KB) | DOI: 10.47701/icohetech.v1i1.1075

Abstract

The medical record unit is the holder of data for all patients so that the performance of medical record workers supports the quality of health services. The problem that occurs in the Community Health centers at Sawit Indonesia, Medical Record Unit is the limited number of workers so that the service to patients tends to belong. The number of patient visits during the Covid-19 pandemic reached 80-100 people/day. The purpose of this study was to analyze the workload of medical record unit workers. The research method used is qualitative with a descriptive research design. Data collection was carried out using observation and interviews. The results showed that: (1) registration workers were carried out by nurses, who served patient registration as well as assisting doctors in providing medication to patients and operating ambulances when needed, as a result, workers experienced work fatigue; (2) analyzing-reporting workers concurrently serve as cashiers, resulting in human errors, inaccurate data and inability to finish on time; and (3) filing workers are carried out by midwives who also provide medical treatment to patients so that the provision of medical record documents is delayed. Workers complain about fatigue, feeling dizzy, drowsy at work, loss of concentration, etc. Researchers suggest that Community Health centers at Sawit district, prepare job descriptions for workers so that the medical record unit can be carried out according to its function.
Integration of Data and Perception in Diarrhea Surveillance Reporting: A Mixed-Methods Study in Indonesia Hesty Latyfa Noor; Indra Agung Yudistiro; Puguh Ika Listyorini; Kinanti Anggraini; Denistism Egi Armadani
International Journal of Health and Social Behavior Vol. 3 No. 1 (2026): February: International Journal of Health and Social Behavior
Publisher : Asosiasi Riset Ilmu Kesehatan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijhsb.v3i1.582

Abstract

Surveillance for diarrhea at the district level in Indonesia is still affected by the fragmented nature of the District Health Information System (DHIS) and Early Warning and Response System (EWARS), inconsistent reporting, patchy data interoperability, and the resulting public health delays. Although there are systems in place like the DHIS and EWARS, the persistent use of hybrid systems that combine manual and digital data entry, as well as the different skill levels of users, continues to produce issues of incompleteness, untimely reporting, and inaccurate data. The present study investigated the deficiencies in surveillance reporting of diarrhea cases, the surveillance data to determine the degree of integration and also investigated the health workers perceptions of the barriers to effective reporting. A mixed methods approach was adopted in this study where we investigated quantitatively the DHIS and routine diarrhea reports submitted for the entire year of 2023, and combined that with qualitative, in-depth interviews with the relevant surveillance officers, program managers, and district staff. The quantitative analysis indicated gaps in reporting about 55% in terms of completeness, and consistency of reporting and also significant differences were found between the manual register, DHIS, and EWARS whereby the integration of these systems was found to be low. The qualitative analysis pointed to the combination of disconnected workflows, limited cross-system interoperability, inadequate system training, excessive workloads, and weak organizational feedback, as the main barriers to effective reporting. The combination of these two datasets illustrates the fact that both system deficiencies and organizational factors are primary drivers of the reporting. Closing the gaps will require system level changes in the interoperability of reporting systems, simplified reporting workflows, training, reporting, and reporting feedback loops.