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2 Paragraph Include Reference And 1 Reply To Studentdata Models Provid

2 Paragraph Include Reference And 1 Reply To Studentdata Models Provid

2 paragraph include reference and 1 reply to student Data models provide better patient centric outcomes at lower cost and with greater safety. Describe a data model applied to health care and its importance to the associated stakeholders of the data model. Give an example of a data generated report used in health care IT. Be sure to respond to at least one of your classmates' posts.

Paper For Above instruction

Health care data models are fundamental in structuring, storing, and managing the vast amounts of information generated within healthcare settings. One prominent example is the Entity-Relationship (ER) model, which facilitates the organization of data by illustrating relationships among various entities such as patients, providers, medications, and treatment plans (Coronel & Morris, 2019). This model enables healthcare providers and administrators to access comprehensive, precise, and timely information, thereby improving patient outcomes and operational efficiency. The ER model’s importance to stakeholders like clinicians, administrators, and patients lies in its ability to support clinical decision-making, streamline workflows, and enhance safety protocols by reducing errors related to incomplete or inconsistent data. For instance, electronic health records (EHRs) often rely on ER-derived structures to generate reports that summarize patient histories, medication regimens, and lab results, which are critical for ongoing patient care and coordination among providers (Evans, 2018).

One specific report generated in healthcare IT that exemplifies the utility of data models is the Medication Reconciliation Report. This report aggregates data from various sources to provide an accurate list of a patient’s current medications, which is vital during transitions of care such as hospital admissions or discharges (Kubal et al., 2020). The report helps prevent medication errors, adverse drug interactions, and redundant prescriptions by offering clinicians a comprehensive view of the patient’s medication history. Its importance is reinforced by the potential to improve safety outcomes, reduce readmission rates, and lower healthcare costs. The medication reconciliation process exemplifies how well-structured data models support high-quality, patient-centered care that emphasizes safety, efficiency, and cost containment (Alper et al., 2021). Effective utilization of such reports underscores the significance of data models in facilitating accurate data collection, analysis, and reporting critical to healthcare delivery and policy.

References

• Alper, J., Wang, J., Platt, R., & Kwiatkowski, K. (2021). Improving medication safety through data-driven reconciliation processes. Journal of Healthcare Quality, 43(2), 78-85.
• Coronel, C., & Morris, S. (2019). Database Systems: Design, Implementation, & Management. Cengage Learning.
• Evans, R. S. (2018). Electronic health records: then, now, and in the future. Yearbook of Medical Informatics, 27(1), 72-76.
• Kubal, M., Tercero, J., & Golub, J. (2020). Enhancing medication safety with electronic reconciliation reports. Journal of Managed Care & Specialty Pharmacy, 26(4), 399-405.