PENGEMBANGAN DAN PENERAPAN REKAM MEDIS ELEKTRONIK (RME) DALAM MEMANTAU INSIDEN HIPERTENSI: TELAAH JURNAL

Authors

  • Santi Apriyani Universitas Indonesia
  • Tuti Herawati Universitas Indonesia

DOI:

https://doi.org/10.47522/jmk.v3i1.45

Keywords:

informatika keperawatan, rekam medis elektronik, hipertensi, pemantauan hipertensi, pemantauan tekanan darah

Abstract

Pendahuluan: Rekam Medis Elektronik (RME) mulai diterapkan di pelayanan kesehatan untuk mendeteksi dan memonitoring suatu penyakit dan  perlu dikembangkan secara luas. Peningkatan kualitas kesehatan menjadi outcome dari pelayanan kesehatan. Penelitian ini bertujuan untuk Memberikan gambaran hasil telaah jurnal tentang pengembangan penerapan Rekam Medis Elektronik (RME) untuk memantau insiden Hipertensi.

Metode: Penelitian ini menggunakan metode telaah jurnal dari online database : J-Stors, Science Direct, Clinical Key dan Pro-Quest dengan kata kunci Nursing Informatics, Electronic Health Record, Hypertension, Monitoring Hypertension, Monitoring Blood Pressure

Hasil: Dari hasil telaah 10 jurnal pilihan, disimpulkan bahwa pemanfaatan RME bisa digunakan secara luas diantaranya  memonitoring penyakit hipertensi atau mendeteksi penyakit akibat hipertensi. Penggunaan fitur algoritma secara otomatis, penggunaan anotasi dan monitoring yang terhubung dengan tempat tinggal pasien adalah bagian dari pengembangan dan pemanfaatan system RME.

Kesimpulan: Pemanfaatan RME bisa digunakan untuk memonitoring penyakit hipertensi, mendeteksi penyakit akibat hipertensi dan mencegah kejadian rehospitalisasi.

References

Chatrati, S. P., Hossain, G., Goyal, A., Bhan, A., Bhattacharya, S., Gaurav, D., & Tiwari, S. M. (2020). ‘Smart home health monitoring system for predicting type 2 diabetes and hypertension’. Journal of King Saud University - Computer and Information Sciences. Retrieved March 6, 2020. doi:10.1016/j.jksuci.2020.01.010

Chen, L., Shortreed, S. M., Easterling, T., Cheetham, T. C., Reynolds, K., Avalos, L. A., Kamineni, A., Holt, V., Neugebauer, R., Akosile, M., Nance, N., Bider-Canfield, Z., Walker, R. L., Badon, S. E., & Dublin, S.(2020). 'Identifying hypertension in pregnancy using electronic medical records: The importance of blood pressure values'. Pregnancy Hypertension. Retrieved March 6, 2020. https://doi.org/10.1016/j.preghy.2020.01.001

Corey, K. E., Kartoun, U., Zheng, H., Chung, R. T., & Shaw, S. Y. (2016). 'Using an electronic medical records database to identify non-traditional cardiovascular risk factors in nonalcoholic fatty liver disease'. The American Journal of Gastroenterology, 111(5), 671-676. Retrieved March 7, 2020. doi:http://dx.doi.org/10.1038/ajg.2016.44

Gini, R., Schuemie, M. J., Mazzaglia, G., Lapi, F., Francesconi, P., Pasqua, A., . . . Klazinga, N. (2016). 'Automatic identification of type 2 diabetes, hypertension, ischaemic heart disease, heart failure and their levels of severity from italian general practitioners' electronic medical records: A validation study'. BMJ Open, 6(12). Retrieved March 7, 2020 doi:http://dx.doi.org/10.1136/bmjopen-2016-012413

Heisey-Grove, D., Wall, H., Helwig, A., & Wright, J. (2015). 'Using Electronic Clinical Quality Measure Reporting for Public Health Surveillance'. Morbidity and Mortality Weekly Report, 64(16), 439-442. Retrieved March 27, 2020, from www.jstor.org/stable/24856471

Kementerian Kesehatan RI. (2020). 'Info datin; hipertensi'. Jakarta: Pusat Data dan Informasi Kementerian Kesehatan RI. Maret 6, 2020. https://pusdatin.kemkes.go.id/resources/download/pusdatin/infodatin/infodatin-hipertensi.pdf

Khambaty, M & Sahni, N. (2019). 'Association of final discharge blood pressure with post-discharge outcomes using electronic medical record data: a retrospective study'. Journal of General Internal Medicine, 34(8), 1373-1374. Retrieved March 7, 2020 https://doi.org/10.1007/s11606-019-04981-0

Le-Scherban, F., Ballester, L., Castro, J. C., Cohen, S., Melly, S., Moore, K., & Buehler, J. W. (2018;2019);. 'Identifying neighborhood characteristics associated with diabetes and hypertension control in an urban african-american population using geo-linked electronic health recordss. Preventive Medicine Reports, 15, 100953-100953. Retrieved March 6, 2020. http://www.sciencedirect.com/science/article/pii/S2211335519301251

Ma, Y., Cheng, H. Y., Cheng, L., & Sit, J. W. H. (2019). 'The effectiveness of electronic health interventions on blood pressure control, self-care behavioural outcomes and psychosocial well-being in patients with hypertension: A systematic review and meta-analysis'. In International Journal of Nursing Studies. Retrieved March 6, 2020. https://doi.org/10.1016/j.ijnurstu.2018.11.007

Ozer, O., & Santas, F. (2020). 'Effects of electronic medical records on patient safety culture: The perspective of nurses'. Journal of Evaluation in Clinical Practice, 26(1), 72–78. Retrieved March 6, 2020. https://doi.org/10.1111/jep.13174

u, J., He, B., Guan, Y., Jiang, J., & Yang, J. (2017). 'Developing a cardiovascular disease risk factor' annotated corpus of Chinese electronic medical records'. BMC Medical Informatics and Decision MakingRetrieved March 6, 2020. https://doi.org/10.1186/s12911-017-0512-7

Kemenkes RI. (2018). ‘Laporan Nasional Riskesdas 2018’. Jakarta: Badan Penelitian dan Pengembangan Kesehatan Kemenkes RI. Maret 6, 2020. http://kesmas.kemkes.go.id/assets/upload/dir_519d41d8cd98f00/files/Hasil-riskesdas-2018_1274.pdf

Downloads

Published

2022-06-03

How to Cite

Apriyani, S., & Herawati, T. (2022). PENGEMBANGAN DAN PENERAPAN REKAM MEDIS ELEKTRONIK (RME) DALAM MEMANTAU INSIDEN HIPERTENSI: TELAAH JURNAL. Jurnal Mitra Kesehatan, 3(1), 11–15. https://doi.org/10.47522/jmk.v3i1.45