S-P-O Model of Healthcare Quality

The quality of healthcare services is the crucial concept of the S-P-O model. Structure, process, and outcome, the principal components of the model base on the quality in all aspects. The structure is the competence of caregivers and medical equipment, the process includes all the elements such as treatment and other services, and the outcome refers to full recovery. Therefore, quality defines the successful interaction between the components. The assessment of these components includes accreditations of medical institutions, certification of doctors, and correspondence to the standards of the inspection bodies. Medicare reports evaluate the efficiency of the model over time (Ayanian & Markel, 2016). Thus, the cooperation of hospitals with inspection services and Medicare contributes to quality assurance.

Successful communication between doctors and their patients is necessary to create an efficient and effective process. The mutual understanding between them is key to the best possible outcome. A patient needs to understand the prescriptions the doctor makes and their feasibility to enforce the recovery process. Doctors need to take into account their patients’ backgrounds and personal factors to communicate more efficiently.

The usage of the S-P-O model is one of the most efficient solutions for healthcare specialists. It allows them to efficiently evaluate the quality of provided services. Evidence-based medicine is an essential tool for the S-P-O model. It contributes to a better outcome by using the evidence. For example, electronic dashboards used at the Johns Hopkins Hospital are vital for the doctors. These devices are a reliable source of relevant personal data that helps to provide better healthcare services to the patients (Martinez et al., 2018). Information technologies based on the S-P-O model allow doctors to make clear decisions on time.

References

Ayanian, J. Z., & Markel, H. (2016). Donabedian’s lasting framework for health care quality. The New England Journal of Medicine, 375(3), 205-207. Web.

Martinez, D. A., Kane, E. M., Jalalpour, M., Scheulen, J., Rupani, H., Toteja, R., & Levin, S. R. (2018). An electronic dashboard to monitor patient flow at the Johns Hopkins hospital: Communication of key performance indicators using the Donabedian model. Journal of Medical Systems, 42(8), 133.