Patient-Centered Care Redesign: Integrating Nursing, Operations, Medicine and Medical Secretary Functions for Enhanced Outcomes
Main Article Content
Keywords
patient-centered care, integrated care, nursing, operations, medicine, medical secretary.
Abstract
Patient-Centered Care (PCC) redesign aims to integrate nursing, operations, medicine, and medical secretary functions to enhance outcomes by prioritizing patient needs and preferences. Key elements include integrated information systems, shared decision-making, interprofessional collaboration, patient goals and care plans, addressing psychosocial needs, personalized education, and self-management support. Medical secretaries play a crucial role in coordinating care and facilitating communication, while nurses and physicians focus on holistic patient care. Operations staff design workflows and facilities to support PCC. The benefits of this approach include increased patient satisfaction, better chronic disease control, reduced hospital readmissions, and enhanced productivity for healthcare staff. By harmonizing care processes around the patient, PCC fosters a more collaborative and effective healthcare system.
References
Cohen, G. R., Friedman, C. P., Ryan, A. M., Richardson, C. R., & Adler-Milstein, J. (2019). Variation in physicians' electronic health record documentation and potential patient harm from that variation. Journal of General Internal Medicine, 34(11), 2355-2367.
Cusatis, R., Holt, J. M., Williams, J., Weiner, S., Mawhinney, S., & Asan, O. (2020). The impact of patient-generated contextual data on communication in clinical practice: A qualitative assessment of patient and clinician perspectives. Patient Education and Counseling, 103(4), 734-740.
Deferio, J. J., Breitinger, S., Khullar, D., Sheth, A., & Pathak, J. (2019). Social determinants of health in mental health care and research: A case for greater inclusion. Journal of the American Medical Informatics Association, 26(8-9), 895-899.
Demiris, G., & Kneale, L. (2015). Informatics systems and tools to facilitate patient-centered care coordination. Yearbook of Medical Informatics, 24(1), 15-21.
Estabrooks, P. A., Boyle, M., Emmons, K. M., Glasgow, R. E., Hesse, B. W., Kaplan, R. M., Krist, A. H., Moser, R. P., & Taylor, M. V. (2012). Harmonized patient-reported data elements in the electronic health record: Supporting meaningful use by primary care action on health behaviors and key psychosocial factors. Journal of the American Medical Informatics Association, 19(4), 575-582.
Fossa, A. J., Bell, S. K., & DesRoches, C. (2018). OpenNotes and shared decision making: A growing practice in clinical transparency and how it can support patient-centered care. Journal of the American Medical Informatics Association, 25(9), 1153-1159.
Glasgow, R. E., Kaplan, R. M., Ockene, J. K., Fisher, E. B., & Emmons, K. M. (2012). Patient-reported measures of psychosocial issues and health behavior should be added to electronic health records. Health Affairs, 31(3), 497-504.
Holt, J. M., Cusatis, R., Asan, O., Williams, J., Galvez, E. A., Tibbles, C. D., Mehrotra, A., & Weiner, S. (2020). Incorporating patient-generated contextual data into care: Clinician perspectives using the consolidated framework for implementation science. Healthcare, 8(1), 100369.
Institute for Healthcare Improvement. (2019). Age-Friendly Health Systems: Guide to Using the 4Ms in the Care of Older Adults.
Institute of Medicine. (2001). Crossing the quality chasm: A new health system for the 21st century. National Academy Press.
Joukes, E., Abu-Hanna, A., Cornet, R., & de Keizer, N. F. (2018). Time spent on dedicated patient care and documentation tasks before and after the introduction of a structured and standardized electronic health record. Applied Clinical Informatics, 9(1), 46-53.
Krejci, L. P., Carter, K., & Gaudet, T. (2014). Whole health: The vision and implementation of personalized, proactive, patient-driven health care for veterans. Medical Care, 52(12 Suppl 5), S5-S8.
Kuo, A. M., Thavalathil, B., Elwyn, G., Nemeth, Z., & Dang, S. (2018). The promise of electronic health records to promote shared decision making: A narrative review and a look ahead. Medical Decision Making, 38(8), 1040-1045.
Lenert, L., Dunlea, R., Del Fiol, G., & Hall, L. K. (2014). A model to support shared decision making in electronic health records systems. Medical Decision Making, 34(8), 987-995.
Lown, B. A., & Rodriguez, D. (2012). Commentary: Lost in translation? How electronic health records structure communication, relationships, and meaning. Academic Medicine, 87(4), 392-394.
Murphy, D. R., Satterly, T., Giardina, T. D., Sittig, D. F., & Singh, H. (2019). Practicing clinicians' recommendations to reduce burden from the electronic health record inbox: A mixed-methods study. Journal of General Internal Medicine, 34(9), 1825-1832.
O’Malley, A. S., Draper, K., Gourevitch, R., Cross, D. A., & Scholle, S. H. (2015). Electronic health records and support for primary care teamwork. Journal of the American Medical Informatics Association, 22(2), 426-434.
Steichen, O., & Gregg, W. (2015). Health information technology coordination to support patient-centered care coordination. Yearbook of Medical Informatics, 24(1), 34-37.
Stewart, M., Brown, J. B., Donner, A., McWhinney, I. R., Oates, J., Weston, W. W., & Jordan, J. (2000). The impact of patient-centered care on outcomes. Journal of Family Practice, 49(9), 796-804.
Tinetti, M. E., Naik, A. D., & Dodson, J. A. (2016). Moving from disease-centered to patient goals-directed care for patients with multiple chronic conditions: Patient value-based care. JAMA Cardiology, 1(1), 9-10.
Wang, J., Wongvibulsin, S., Henry, K., & Fujita, S. (2017). Quantifying and visualizing medication adherence in patients following acute myocardial infarction. AMIA Annual Symposium Proceedings, 2017, 2299-2303.
Woods, S., Evans, N., & Frisbee, K. (2016). Integrating patient voices into health information for self-care and patient-clinician partnerships: Veterans Affairs design recommendations for patient-generated data applications. Journal of the American Medical Informatics Association, 23(3), 491-495.
Cusatis, R., Holt, J. M., Williams, J., Weiner, S., Mawhinney, S., & Asan, O. (2020). The impact of patient-generated contextual data on communication in clinical practice: A qualitative assessment of patient and clinician perspectives. Patient Education and Counseling, 103(4), 734-740.
Deferio, J. J., Breitinger, S., Khullar, D., Sheth, A., & Pathak, J. (2019). Social determinants of health in mental health care and research: A case for greater inclusion. Journal of the American Medical Informatics Association, 26(8-9), 895-899.
Demiris, G., & Kneale, L. (2015). Informatics systems and tools to facilitate patient-centered care coordination. Yearbook of Medical Informatics, 24(1), 15-21.
Estabrooks, P. A., Boyle, M., Emmons, K. M., Glasgow, R. E., Hesse, B. W., Kaplan, R. M., Krist, A. H., Moser, R. P., & Taylor, M. V. (2012). Harmonized patient-reported data elements in the electronic health record: Supporting meaningful use by primary care action on health behaviors and key psychosocial factors. Journal of the American Medical Informatics Association, 19(4), 575-582.
Fossa, A. J., Bell, S. K., & DesRoches, C. (2018). OpenNotes and shared decision making: A growing practice in clinical transparency and how it can support patient-centered care. Journal of the American Medical Informatics Association, 25(9), 1153-1159.
Glasgow, R. E., Kaplan, R. M., Ockene, J. K., Fisher, E. B., & Emmons, K. M. (2012). Patient-reported measures of psychosocial issues and health behavior should be added to electronic health records. Health Affairs, 31(3), 497-504.
Holt, J. M., Cusatis, R., Asan, O., Williams, J., Galvez, E. A., Tibbles, C. D., Mehrotra, A., & Weiner, S. (2020). Incorporating patient-generated contextual data into care: Clinician perspectives using the consolidated framework for implementation science. Healthcare, 8(1), 100369.
Institute for Healthcare Improvement. (2019). Age-Friendly Health Systems: Guide to Using the 4Ms in the Care of Older Adults.
Institute of Medicine. (2001). Crossing the quality chasm: A new health system for the 21st century. National Academy Press.
Joukes, E., Abu-Hanna, A., Cornet, R., & de Keizer, N. F. (2018). Time spent on dedicated patient care and documentation tasks before and after the introduction of a structured and standardized electronic health record. Applied Clinical Informatics, 9(1), 46-53.
Krejci, L. P., Carter, K., & Gaudet, T. (2014). Whole health: The vision and implementation of personalized, proactive, patient-driven health care for veterans. Medical Care, 52(12 Suppl 5), S5-S8.
Kuo, A. M., Thavalathil, B., Elwyn, G., Nemeth, Z., & Dang, S. (2018). The promise of electronic health records to promote shared decision making: A narrative review and a look ahead. Medical Decision Making, 38(8), 1040-1045.
Lenert, L., Dunlea, R., Del Fiol, G., & Hall, L. K. (2014). A model to support shared decision making in electronic health records systems. Medical Decision Making, 34(8), 987-995.
Lown, B. A., & Rodriguez, D. (2012). Commentary: Lost in translation? How electronic health records structure communication, relationships, and meaning. Academic Medicine, 87(4), 392-394.
Murphy, D. R., Satterly, T., Giardina, T. D., Sittig, D. F., & Singh, H. (2019). Practicing clinicians' recommendations to reduce burden from the electronic health record inbox: A mixed-methods study. Journal of General Internal Medicine, 34(9), 1825-1832.
O’Malley, A. S., Draper, K., Gourevitch, R., Cross, D. A., & Scholle, S. H. (2015). Electronic health records and support for primary care teamwork. Journal of the American Medical Informatics Association, 22(2), 426-434.
Steichen, O., & Gregg, W. (2015). Health information technology coordination to support patient-centered care coordination. Yearbook of Medical Informatics, 24(1), 34-37.
Stewart, M., Brown, J. B., Donner, A., McWhinney, I. R., Oates, J., Weston, W. W., & Jordan, J. (2000). The impact of patient-centered care on outcomes. Journal of Family Practice, 49(9), 796-804.
Tinetti, M. E., Naik, A. D., & Dodson, J. A. (2016). Moving from disease-centered to patient goals-directed care for patients with multiple chronic conditions: Patient value-based care. JAMA Cardiology, 1(1), 9-10.
Wang, J., Wongvibulsin, S., Henry, K., & Fujita, S. (2017). Quantifying and visualizing medication adherence in patients following acute myocardial infarction. AMIA Annual Symposium Proceedings, 2017, 2299-2303.
Woods, S., Evans, N., & Frisbee, K. (2016). Integrating patient voices into health information for self-care and patient-clinician partnerships: Veterans Affairs design recommendations for patient-generated data applications. Journal of the American Medical Informatics Association, 23(3), 491-495.
Article Sidebar
Published
Apr 25, 2022
Article Details
How to Cite
Musab Mohammed Mousa Mulayhi8, Eman Modahei Mohammed Albishi9, Deema Fahad Mastour AlMutairi10, Mansour Abdullah Saeed Ali Alghamdi11, Ali Ebrahim A Nooli12, S. H. H. A. Y. M. A. A. S. A. A. A. A. A. B. R. C. A. S. A. S. A. N. M. N. A. (2022). Patient-Centered Care Redesign: Integrating Nursing, Operations, Medicine and Medical Secretary Functions for Enhanced Outcomes. Journal of Population Therapeutics and Clinical Pharmacology, 29(04), 1391-1398. https://doi.org/10.53555/jptcp.v29i04.5834
Section
Articles
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
All articles published in JPTCP are licensed under Copyright Creative Commons Attribution-NonCommercial 4.0 International License.
How to Cite
Musab Mohammed Mousa Mulayhi8, Eman Modahei Mohammed Albishi9, Deema Fahad Mastour AlMutairi10, Mansour Abdullah Saeed Ali Alghamdi11, Ali Ebrahim A Nooli12, S. H. H. A. Y. M. A. A. S. A. A. A. A. A. B. R. C. A. S. A. S. A. N. M. N. A. (2022). Patient-Centered Care Redesign: Integrating Nursing, Operations, Medicine and Medical Secretary Functions for Enhanced Outcomes. Journal of Population Therapeutics and Clinical Pharmacology, 29(04), 1391-1398. https://doi.org/10.53555/jptcp.v29i04.5834