Penerapan Mobile Health Application Terintegrasi pada Rekam Medis Elektronik dalam Melakukan Monitoring Luka Tekan
Abstract
This study aimed to determine the effectiveness of the integrated mobile health application in electronic medical records in monitoring pressure sores. The research method used is a literature review with research journal sources from 2018-2022 on the Scopus database, Sage Publishing, ProQuest, Science Direct, ClinicalKey for Nursing, and PubMed with the keywords electronic health record, mobile health, and pressure injury. The results showed that a review of 10 research journals found that mobile health applications integrated into electronic medical records could assist nurses in monitoring pressure sores. In conclusion, a mobile health application integrated into electronic medical records is considered effective in monitoring pressure sores.
Keywords: Electronic Health Record, Mobile Health, Pressure Injury
References
Chen, G., Lin, L., Yan-Lin, Y., Loretta, C. Y., & Han, L. (2020). The Prevalence and Incidence of Community-Acquired Pressure Injury: A Protocol for Systematic Review and Meta-Analysis. Medicine, 99(48), e22348. https://doi.org/10.1097/MD.0000000000022348
Early, J., Gonzalez, C., Gordon-Dseagu, V., & Robles-Calderon, L. (2019). Use of Mobile Health (mHealth) Technologies and Interventions Among Community Health Workers Globally: A Scoping Review. Health Promotion Practice, 20(6), 805–817. https://doi.org/10.1177/1524839919855391
European Pressure Ulcer Advisory Panel. (2018). https://www.epuap.org/stop-pressure-ulcers/#stoppressureulcers
Hilty, D. M., & Chan, S. (2018). Human Behavior with Mobile Health: Smartphone/ Devices, Apps and Cognition, Psychology and Cognitive Sciences, 4(2), 36–47. https://doi.org/10.17140/PCSOJ-4-141
Jannah, S. R. (2020). Pemanfaatan Mobile Health (mH) dan Dampaknya pada Perilaku Kesehatan Mahasiswa UNNES. Universitas Negeri Semarang. http://lib.unnes.ac.id/42357/
Jedwaba, R. M., Chalmers, C., Dobroff, N., & Redley, B. (2019). Measuring Nursing Benefits of an Electronic Medical Record System: A Scoping Review. Colllegian, 26(5), 562-582. https://doi.org/10.1016/j.colegn.2019.01.003
Koepp, J., Baron, M. V., Martins, P. R. H., Brandenburg, C., Kira, A. T. F., Trindade, V. D., Dominguez, L. M. L., Carneiro, M., Frozza, R., Possuelo, L. G., De Mello Pinto, M. V., Kipper, L. M., & Pinheiro da Costa, B. E. (2020). The Quality of Mobile Apps Used for the Identification of Pressure Ulcers in Adults: Systematic Survey and Review of Apps in App Stores. JMIR mHealth and uHealth, 8(6), e14266. https://doi.org/10.2196/14266
Lau, C. H., Yu, K. H., Yip, T. F., Luk, L. Y. F., Wai, A. K. C., Sit, T. Y., Wong, J. Y., & Ho, J. W. K. (2022). An Artificial Intelligence-Enabled Smartphone App for Real-Time Pressure Injury Assessment. Frontiers in Medical Technology, 4, 905074. https://doi.org/10.3389/fmedt.2022.905074
Li, D., Mathews, C., & Zhang, F. (2018). The Characteristics of Pressure Injury Photographs from the Electronic Health Record in Clinical Settings. Journal of Clinical Nursing. 7, 819–828. https://doi.org/10.1111/jocn.14124
Liu, H., Wang, Y., Cao, S., Liu, J., & Mi, B. (2021). An Interactive Visual Data Acquisition Tool for Multistage Care and Risk Evaluation of Pressure Ulcer Based on REDCap. Studies in Health Technology and Informatics, 15(284), 316-317. https://doi.org/10.3233/shti210730
Miller, M. W., Emeny, R. T., Snide, J. A., & Freed, G. L. (2020). Patient-Specific Factors Associated with Pressure Injuries Revealed by Electronic Health Record Analysis. Health Informatics Journal, 26(1), 474-485. https://doi.org/10.1177/1460458219832053
Mohammed, H. T., Bartlett, R. L., Babb, D, Fraser, R. D. J., & Mannion, D. (2022). A Time Motion Study of Manual Versus Artificial Intelligence Methods for Wound Assessment. PLOS ONE, 17(7), e0271742. https://doi.org/10.1371/journal.pone.0271742
Ribeiro, F., Fidalgo, F., Silva, A., Metrôlho, J., Santos, O., & Dionisio, R. (2021). Literature Review of Machine-Learning Algorithms for Pressure Ulcer Prevention: Challenges and Opportunities. Informatics, 8(4), 76. https://doi.org/10.3390/informatics8040076
Salomé, G. M., & Ferreira, L. M. (2018). Developing a Mobile App for Prevention and Treatment of Pressure Injuries. Advances in Skin & Wound Care, 31(2), 1–6. https://doi.org/10.1097/01.ASW.0000529693.60680.5e
Tran, M. T., Kumar, A., Sachan, A., Castro, M., Allegre, W., & Feller, J. F. (2022). Emerging Strategies Based on Sensors for Chronic Wound Monitoring and Management. Chemosensors, 10(8), 311. https://doi.org/10.3390/chemosensors10080311
Early, J., Gonzalez, C., Gordon-Dseagu, V., & Robles-Calderon, L. (2019). Use of Mobile Health (mHealth) Technologies and Interventions Among Community Health Workers Globally: A Scoping Review. Health Promotion Practice, 20(6), 805–817. https://doi.org/10.1177/1524839919855391
European Pressure Ulcer Advisory Panel. (2018). https://www.epuap.org/stop-pressure-ulcers/#stoppressureulcers
Hilty, D. M., & Chan, S. (2018). Human Behavior with Mobile Health: Smartphone/ Devices, Apps and Cognition, Psychology and Cognitive Sciences, 4(2), 36–47. https://doi.org/10.17140/PCSOJ-4-141
Jannah, S. R. (2020). Pemanfaatan Mobile Health (mH) dan Dampaknya pada Perilaku Kesehatan Mahasiswa UNNES. Universitas Negeri Semarang. http://lib.unnes.ac.id/42357/
Jedwaba, R. M., Chalmers, C., Dobroff, N., & Redley, B. (2019). Measuring Nursing Benefits of an Electronic Medical Record System: A Scoping Review. Colllegian, 26(5), 562-582. https://doi.org/10.1016/j.colegn.2019.01.003
Koepp, J., Baron, M. V., Martins, P. R. H., Brandenburg, C., Kira, A. T. F., Trindade, V. D., Dominguez, L. M. L., Carneiro, M., Frozza, R., Possuelo, L. G., De Mello Pinto, M. V., Kipper, L. M., & Pinheiro da Costa, B. E. (2020). The Quality of Mobile Apps Used for the Identification of Pressure Ulcers in Adults: Systematic Survey and Review of Apps in App Stores. JMIR mHealth and uHealth, 8(6), e14266. https://doi.org/10.2196/14266
Lau, C. H., Yu, K. H., Yip, T. F., Luk, L. Y. F., Wai, A. K. C., Sit, T. Y., Wong, J. Y., & Ho, J. W. K. (2022). An Artificial Intelligence-Enabled Smartphone App for Real-Time Pressure Injury Assessment. Frontiers in Medical Technology, 4, 905074. https://doi.org/10.3389/fmedt.2022.905074
Li, D., Mathews, C., & Zhang, F. (2018). The Characteristics of Pressure Injury Photographs from the Electronic Health Record in Clinical Settings. Journal of Clinical Nursing. 7, 819–828. https://doi.org/10.1111/jocn.14124
Liu, H., Wang, Y., Cao, S., Liu, J., & Mi, B. (2021). An Interactive Visual Data Acquisition Tool for Multistage Care and Risk Evaluation of Pressure Ulcer Based on REDCap. Studies in Health Technology and Informatics, 15(284), 316-317. https://doi.org/10.3233/shti210730
Miller, M. W., Emeny, R. T., Snide, J. A., & Freed, G. L. (2020). Patient-Specific Factors Associated with Pressure Injuries Revealed by Electronic Health Record Analysis. Health Informatics Journal, 26(1), 474-485. https://doi.org/10.1177/1460458219832053
Mohammed, H. T., Bartlett, R. L., Babb, D, Fraser, R. D. J., & Mannion, D. (2022). A Time Motion Study of Manual Versus Artificial Intelligence Methods for Wound Assessment. PLOS ONE, 17(7), e0271742. https://doi.org/10.1371/journal.pone.0271742
Ribeiro, F., Fidalgo, F., Silva, A., Metrôlho, J., Santos, O., & Dionisio, R. (2021). Literature Review of Machine-Learning Algorithms for Pressure Ulcer Prevention: Challenges and Opportunities. Informatics, 8(4), 76. https://doi.org/10.3390/informatics8040076
Salomé, G. M., & Ferreira, L. M. (2018). Developing a Mobile App for Prevention and Treatment of Pressure Injuries. Advances in Skin & Wound Care, 31(2), 1–6. https://doi.org/10.1097/01.ASW.0000529693.60680.5e
Tran, M. T., Kumar, A., Sachan, A., Castro, M., Allegre, W., & Feller, J. F. (2022). Emerging Strategies Based on Sensors for Chronic Wound Monitoring and Management. Chemosensors, 10(8), 311. https://doi.org/10.3390/chemosensors10080311
