Sosialiasi Patient-Centered Approach (PCA) sebagai Pendekatan untuk Meningkatkan Kualitas Layanan di Rumah Sakit Harapan Keluarga Kota Mataram

Hizriansyah Hizriansyah, Syamsuriansyah Syamsuriansyah, Rizal Pratama Adi Putra

Abstract


Media sosial muncul sebagai saluran baru bagi rumah sakit dan pasien untuk mengumpulkan umpan balik tentang kualitas pelayanan. Data media sosial, di sisi lain tidak terstruktur dan volumenya besar. Selain itu, tidak ada penelitian empiris yang dilakukan tentang penggunaan data media sosial dan persepsi kualitas pelayanan rumah sakit berdasarkan ulasan online pasien. Tujuan dari pengabdian masyarakat ini adalah melakukan sosialisasi pentingnya patient-centered approach sebagai pendekatan untuk meningkatkan service excellent di rumah sakit. Dalam studi kasus sosialisasi ini, kami mengumpulkan 428 komentar halaman facebook Rumah Sakit Harapan Keluarga antara tahun 2019-2023. Kami menggunakan pembelajaran mesin untuk membuat analisis sentimen dan pengklasifikasi kualitas layanan (SERVQUAL) yang mengidentifikasi dimensi sentimen dan SERVQUAL secara otomatis. Kami memeriksa total 428 ulasan, 413 (70,32%) ulasan tangibles, 413 (96,49%) ulasan reliability, 19 (4,43%) ulasan responsiveness, 38 (8,87%) ulasan assurance, dan 301 (70,32%) ulasan empathy.

Keywords


pelayanan berpusat pasien; rumah sakit; pelayanan bermutu; SERVQUAL

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References


A Rahim, A. I., Ibrahim, M. I., Musa, K. I., Chua, S.-L., & Yaacob, N. M. (2021). Assessing Patient-Perceived Hospital Service Quality and Sentiment in Malaysian Public Hospitals Using Machine Learning and Facebook Reviews. International Journal of Environmental Research and Public Health, 18(18). https://doi.org/10.3390/ijerph18189912

Barus, M., Novitarum, L., Sianipar, D., Keperawatan, D., Studi, P., Elisabeth, S. S., Keperawatan, D., Studi, P., Elisabeth, S. S., Program, M., Keperawatan, S., Elisabeth, S. S., & Kepuasaan, T. (2023). Hubungan Service Excellent Perawat dengan Tingkat Kepuasan Pasien Rawat Inap di Rumah Sakit Santa Elisabeth Medan. Jurnal Sahabat Keperawatan, 5(1), 166–175. http://jurnal.unimor.ac.id/index.php/JSK/article/view/4029/1282

Chute, C., & French, T. (2019). Introducing care 4.0: An integrated care paradigm built on industry 4.0 capabilities. International Journal of Environmental Research and Public Health, 16(12). https://doi.org/10.3390/ijerph16122247

Doing-harris, K., Mowery, D. L., Daniels, C., Chapman, W. W., & Conway, M. (2017). Understanding patient satisfaction with received healthcare services : A natural language processing approach Westminster College , Salt Lake City , UT ; Director of Strategic Initiatives , University of Utah , Salt Lake City , UT ; Department of Biomedic. AMIA Annu. Symp. Proc, 524–533.

Fung, C. H., Lim, Y. W., Mattke, S., Damberg, C., & Shekelle, P. G. (2008). Systematic review: The evidence that publishing patient care performance data improves quality of care. Annals of Internal Medicine, 148(2), 111–123. https://doi.org/10.7326/0003-4819-148-2-200801150-00006

Gardner, J. W., Linderman, K. W., & McFadden, K. L. (2018). Managing quality crossroads in healthcare: An integrative supply chain perspective. Quality Management Journal, 25(1), 2–17. https://doi.org/10.1080/10686967.2018.1404364

Gohil, S., Vuik, S., & Darzi, A. (2018). Sentiment Analysis of Health Care Tweets : Review of the Methods Used Corresponding Author. JMIR Public Health and Surveillance, 4. https://doi.org/10.2196/publichealth.5789

Hawkins, J. B., Brownstein, J. S., Tuli, G., Runels, T., Broecker, K., Nsoesie, E. O., Mciver, D. J., Rozenblum, R., Wright, A., Bourgeois, F. T., & Greaves, F. (2016). Measuring patient-perceived quality of care in US hospitals using Twitter. 404–413. https://doi.org/10.1136/bmjqs-2015-004309

Hincapie, A. L., Slack, M., Malone, D. C., MacKinnon, N. J., & Warholak, T. L. (2016). Relationship between patients’ perceptions of care quality and health care errors in 11 countries: A secondary data analysis. Quality Management in Health Care, 25(1), 13–21. https://doi.org/10.1097/QMH.0000000000000079

Hong, Y. A., Liang, C., Radcliff, T. A., Wigfall, L. T., & Street, R. L. (2019). What do patients say about doctors online? A systematic review of studies on patient online reviews. Journal of Medical Internet Research, 21(4), 1–14. https://doi.org/10.2196/12521

Hu, G., Han, X., Zhou, H., & Liu, Y. (2019). Public Perception on Healthcare Services : Evidence from Social Media Platforms in China. https://doi.org/10.3390/ijerph16071273

Jo Delaney, L. (2018). Patient-centred care as an approach to improving health care in Australia. Collegian, 25(1), 119–123. https://doi.org/10.1016/j.colegn.2017.02.005

Khanbhai, M., Anyadi, P., Symons, J., Flott, K., Darzi, A., & Mayer, E. (2021). Applying natural language processing and machine learning techniques to patient experience feedback: A systematic review. BMJ Health and Care Informatics, 28(1). https://doi.org/10.1136/bmjhci-2020-100262

Kruk, M. E., Gage, A. D., Joseph, N. T., Danaei, G., García-Saisó, S., & Salomon, J. A. (2018). Mortality due to low-quality health systems in the universal health coverage era: a systematic analysis of amenable deaths in 137 countries. The Lancet, 392(10160), 2203–2212. https://doi.org/10.1016/S0140-6736(18)31668-4

Lagu, T., Goff, S. L., Hannon, N. S., Shatz, A., & Lindenauer, P. K. (2013). A mixed-methods analysis of patient reviews of hospital care in England: Implications for public reporting of health care quality data in the United States. Joint Commission Journal on Quality and Patient Safety, 39(1), 7–15. https://doi.org/10.1016/s1553-7250(13)39003-5

Millman, E. A., Pronovost, P. J., Makary, M. A., & Wu, A. W. (2011). Patient-assisted incident reporting: Including the patient in patient safety. Journal of Patient Safety, 7(2), 106–108. https://doi.org/10.1097/PTS.0b013e31821b3c5f

Moore, K., Cottrell, E., & Chambers, R. (2017). Facebook in general practice ; a service evaluation in one health economy. Bjgpopen.Org, 1–10. https://doi.org/10.3399/s

Ramsey, G., & Schreiber, R. (2020). Natural Language Processing to Extract Meaningful Information from Patient Experience Feedback. Applied Clinical Informatics, 242–252.

Ranard, B. B. L., Werner, R. M., Antanavicius, T., Schwartz, H. A., Smith, R. J., Meisel, Z. F., Asch, D. A., Ungar, L. H., & Merchant, R. M. (2016). Yelp Reviews Of Hospital Care Can Supplement And Inform Traditional Surveys Of The Patient Experience Of Care. Healthaffairs.

Yang, P. C., Lee, W. C., Liu, H. Y., Shih, M. J., Chen, T. J., Chou, L. F., & Hwang, S. J. (2018). Use of facebook by hospitals in taiwan: A nationwide survey. International Journal of Environmental Research and Public Health, 15(6). https://doi.org/10.3390/ijerph15061188

Zaman, N., Abrahams, A. S., & Essig, R. A. (2020). Facebook Hospital Reviews : Automated Service Quality Detection and Relationships. 00(0), 1–29.

Zun, A. B., Ibrahim, M. I., & Hamid, A. A. (2018). Level of Satisfaction on Service Quality Dimensions Based on SERVQUAL Model Among Patients Attending 1 Malaysia Clinic in Kota Bharu, Malaysia. Oman Medical Journal, 33(5), 416–422. https://doi.org/10.5001/omj.2018.76




DOI: https://doi.org/10.26877/e-dimas.v15i1.15406

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