Analysis of the Influence of Workload-Based Staff Requirements on the Outpatients Coding Section of BPJS with WISN Method
DOI:
https://doi.org/10.61963/jpkt.v1i2.19Keywords:
Coding, Workload, Staff Needs Analysis, WISNAbstract
Professional staffs in the coding section have an important role in doing activities in the hospital. The coding section officer is responsible for documents claimed by BPJS Health and is responsible for the claim. This study aims to determine the estimated number of workers in the outpatients coding section of BPJS needed based on the WISN (Workload Indicator Staff Need) method and to determine the competence and workload of coding officers. This is qualitative research using work time and measurements the WISN (Workload Indicator Staff Need) method. Retrieval of data from this study used observations, interviews and documentation studies. The results of this study were in the form of an estimate of the number of outpatient coding officers for BPJS patients needed to do job descriptions properly so that maximum work results were achieved. The results of the workload calculation using the WISN (Workload Indicator Staff Need) method, the minimum number of workers required was two officers, where currently there were two outpatient coding officers, so it was advisable to add two people, including one doctor as verification and one more person scanning the medical record. These additions should consider the competence of personnel in their fields so that they are able to perform well in accordance with existing standards.
References
Abdolkhani, R., Gray, K., Borda, A., & DeSouza, R. (2019). Patient-generated health data management and quality challenges in remote patient monitoring. JAMIA open, 2(4), 471-478. https://doi.org/10.1093/jamiaopen/ooz036
Barker, I., Steventon, A., Williamson, R., & Deeny, S. R. (2018). Self-management capability in patients with long-term conditions is associated with reduced healthcare utilisation across a whole health economy: cross-sectional analysis of electronic health records. BMJ quality & safety, 27(12), 989-999. http://dx.doi.org/10.1136/bmjqs-2017-007635
Boon, C., Den Hartog, D. N., & Lepak, D. P. (2019). A systematic review of human resource management systems and their measurement. Journal of management, 45(6), 2498-2537. https://doi.org/10.1177/0149206318818718
Chegini, Z., Arab-Zozani, M., & Janati, A. (2019). Patient and health professional perspectives about engaging patients in addressing patient safety: a systematic review protocol. Open Access Macedonian Journal of Medical Sciences, 7(9), 1561. https://doi.org/10.3889%2Foamjms.2019.280
Chen, M., & Decary, M. (2020, January). Artificial intelligence in healthcare: An essential guide for health leaders. In Healthcare management forum (Vol. 33, No. 1, pp. 10-18). Sage CA: Los Angeles, CA: SAGE Publications. https://doi.org/10.1177/0840470419873123
Dirani, K. M., Abadi, M., Alizadeh, A., Barhate, B., Garza, R. C., Gunasekara, N., ... & Majzun, Z. (2020). Leadership competencies and the essential role of human resource development in times of crisis: a response to Covid-19 pandemic. Human Resource Development International, 23(4), 380-394. https://doi.org/10.1080/13678868.2020.1780078
Elshayib, M., Abuyassin, B., & Laher, I. (2021). Medication Errors in the Arab World. Handbook of Healthcare in the Arab World, 2087-2145. https://doi.org/10.1007/978-3-030-36811-1_226
Ghazal, T. M. (2021). Internet of things with artificial intelligence for health care security. Arabian Journal for Science and Engineering. https://doi.org/10.1007/s13369-021-06083-8
Grange, E. S., Neil, E. J., Stoffel, M., Singh, A. P., Tseng, E., Resco-Summers, K., ... & Leu, M. G. (2020). Responding to COVID-19: the UW medicine information technology services experience. Applied clinical informatics, 11(02), 265-275. https://doi.org/10.1055/s-0040-1709715
Hemphill III, J. C., Adeoye, O. M., Alexander, D. N., Alexandrov, A. W., Amin-Hanjani, S., Cushman, M., ... & AHA/ASA Stroke Performance Oversight Committee. (2018). Clinical performance measures for adults hospitalized with intracerebral hemorrhage: performance measures for healthcare professionals from the American Heart Association/American Stroke Association. Stroke, 49(7), e243-e261. https://doi.org/10.1161/STR.0000000000000171
Huang, S. C., Pareek, A., Seyyedi, S., Banerjee, I., & Lungren, M. P. (2020). Fusion of medical imaging and electronic health records using deep learning: a systematic review and implementation guidelines. NPJ digital medicine, 3(1), 1-9. https://doi.org/10.1038/s41746-020-00341-z
Ikawati, F. R., & Wardani, R. (2022). Evaluation of Inaccuracy Analysis of Returning Inpatient Medical Record Documents at “X” Hospital in Malang City. Journal for Quality in Public Health, 5(2), 303-311. https://doi.org/10.30994/jqph.v5i2.375
Karan, A., Negandhi, H., Nair, R., Sharma, A., Tiwari, R., & Zodpey, S. (2019). Size, composition and distribution of human resource for health in India: new estimates using National Sample Survey and Registry data. BMJ open, 9(4), e025979. http://dx.doi.org/10.1136/bmjopen-2018-025979
Li, R., Chen, Y., Ritchie, M. D., & Moore, J. H. (2020). Electronic health records and polygenic risk scores for predicting disease risk. Nature Reviews Genetics, 21(8), 493-502. https://doi.org/10.1038/s41576-020-0224-1
Maassen, S. M., van Oostveen, C., Vermeulen, H., & Weggelaar, A. M. (2021). Defining a positive work environment for hospital healthcare professionals: A Delphi study. PloS one, 16(2), e0247530. https://doi.org/10.1371/journal.pone.0247530
Mitchell, M., & Kan, L. (2019). Digital technology and the future of health systems. Health Systems & Reform, 5(2), 113-120. https://doi.org/10.1080/23288604.2019.1583040
Morgenstern, J. D., Rosella, L. C., Daley, M. J., Goel, V., Schünemann, H. J., & Piggott, T. (2021). “AI’s gonna have an impact on everything in society, so it has to have an impact on public health”: a fundamental qualitative descriptive study of the implications of artificial intelligence for public health. BMC Public Health, 21(1), 1-14. https://doi.org/10.1186/s12889-020-10030-x
Okoroafor, S., Ngobua, S., Titus, M., & Opubo, I. (2019). Applying the workload indicators of staffing needs method in determining frontline health workforce staffing for primary level facilities in River’s state Nigeria. Global Health Research and Policy, 4(1), 1-8. https://doi.org/10.1186/s41256-019-0125-z
Pendergrass, S. A., & Crawford, D. C. (2019). Using electronic health records to generate phenotypes for research. Current protocols in human genetics, 100(1), e80. https://doi.org/10.1002/cphg.80
Putrianda, T. N., Harjono, Y., & Rizkianti, T (2021). The Relationship between Completeness of Medical Record Information and Accuracy of the Main Diagnostic Code with Health Social Security Administration Claim Approval. In 8th International Conference on Public Health (pp. 908-921). Sebelas Maret University. https://doi.org/10.26911/ICPHmanagement.FP.08.2021.03
Rawashdeh, A. (2018). The impact of green human resource management on organizational environmental performance in Jordanian health service organizations. Management Science Letters, 8(10), 1049-1058. http://dx.doi.org/10.5267/j.msl.2018.7.006
Schnelle, J. F., Bates?Jensen, B. M., Chu, L., & Simmons, S. F. (2004). Accuracy of nursing home medical record information about care?process delivery: implications for staff management and improvement. Journal of the American Geriatrics Society, 52(8), 1378-1383. https://doi.org/10.1111/j.1532-5415.2004.52372.x
Schrag, A., Anastasiou, Z., Ambler, G., Noyce, A., & Walters, K. (2019). Predicting diagnosis of Parkinson's disease: a risk algorithm based on primary care presentations. Movement Disorders, 34(4), 480-486. https://doi.org/10.1002/mds.27616
Sue, K. L. (2022). Violence at Rikers Island: Does the Doctor Make It Worse? A Clinician Ethnographer’s Work Amidst Carceral Structural Violence. Culture, medicine, and psychiatry, 1-20. https://doi.org/10.1007/s11013-022-09812-2
Surr, C. A., Parveen, S., Smith, S. J., Drury, M., Sass, C., Burden, S., & Oyebode, J. (2020). The barriers and facilitators to implementing dementia education and training in health and social care services: a mixed-methods study. BMC Health Services Research, 20(1), 1-10. https://doi.org/10.1186/s12913-020-05382-4
Zhang, C., Yang, Y., & Liu, C. (2022). Knowledge Management-Based Mental Health Service Model: Sustainable Application during College Students’ Education. Sustainability, 14(15), 9008. https://doi.org/10.3390/su14159008
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