Apa Format 800 Words, 6 Book References, Please Only Conta

Apa Formatapprox 800 Words6 Book Referencesplease Only Contact If You

Build a multi-stage scenario involving a hospitalized patient with a specific diagnosis. For each stage of care, identify an applicable health information standard. Initially, specify the patient's diagnosis, the classification system used, and explain why that system was chosen and how it functions to classify diagnoses. Next, describe a procedure or medication used for treatment, identify the system for describing it, and justify the choice. When the patient is ready for discharge, determine whether full recovery has been achieved or if follow-up care is needed, then select an appropriate data set or interchange standard for use at this stage and explain its relevance. Finally, discuss how health information standards contribute to continuous patient care and improved health outcomes during the entire healthcare process.

Paper For Above instruction

Effective healthcare delivery depends heavily on precise communication and consistent documentation across all stages of patient care. As healthcare systems utilize various health information standards, these facilitate interoperability, accuracy, and efficiency, ultimately enhancing patient outcomes. This paper constructs a comprehensive scenario reflecting how standards are integrated sequentially during a patient's hospitalization, treatment, and discharge, emphasizing their pivotal role in delivering continuous, quality care.

The scenario begins with a patient, John Doe, admitted to the hospital with a diagnosis of type 2 diabetes mellitus. The diagnosis is classified using the International Classification of Diseases, Tenth Revision (ICD-10). Chosen due to its widespread acceptance, ICD-10 provides a detailed and standardized coding system for numerous health conditions, enabling precise documentation, billing, and data analysis. The specific ICD-10 code for type 2 diabetes mellitus without complications (E11.9) allows healthcare providers to communicate the diagnosis unambiguously within electronic health records (EHRs) and other health information systems (WHO, 2019). The system functions by assigning a unique alphanumeric code to the disease, encapsulating details about its nature and severity, thereby facilitating data sharing across different care settings.

Following diagnosis, John receives insulin therapy to manage his blood glucose levels. The treatment description, including medication specifics such as drug name, dosage, and administration route, is documented using SNOMED CT (Systematized Nomenclature of Medicine—Clinical Terms). SNOMED CT is selected for its comprehensive and granular terminology, supporting detailed clinical documentation and facilitating interoperability among health information systems (Gale et al., 2012). It allows clinicians to encode treatments precisely, ensuring clarity and consistency, which is crucial for subsequent care continuity and data analytics.

When John is nearing discharge, his condition is evaluated to determine recovery status and the need for follow-up care. Assuming he has achieved adequate glycemic control, the clinician may categorize his status as stabilized but requiring routine monitoring. At this point, a document standard such as the Continuity of Care Document (CCD) or an HL7 FHIR (Fast Healthcare Interoperability Resources) resource is appropriate. FHIR, specifically, supports exchange of discrete clinical data elements, including care plans, medication lists, and follow-up instructions, enabling seamless information transfer between hospital and outpatient providers (Hoffman, 2019). This standard's interoperability fosters coordinated care post-discharge, ensuring that subsequent providers are fully informed about the patient’s condition and treatment plan.

Throughout this scenario, the use of health information standards—from ICD-10 for diagnosis classification, SNOMED CT for documenting treatments, to FHIR for data exchange at discharge—demonstrates their integral role in enabling a continuum of care. These standards facilitate accurate, consistent, and timely information sharing across various health information systems, reducing errors, avoiding redundant testing, and promoting informed decision-making. The result is an improved healthcare experience for the patient, characterized by safer, more effective, and patient-centered care. As healthcare increasingly relies on digital data, adherence to these standards becomes essential for optimizing health outcomes and advancing medical practice.

References

• Gale, J., Lipkin, M., & Thomas, M. (2012). SNOMED CT for clinical documentation. Journal of Digital Imaging, 25(3), 390–398.
• Hoffman, S. (2019). FHIR: Enabling seamless healthcare data exchange. Healthcare IT News. https://www.healthcareitnews.com
• World Health Organization. (2019). International Statistical Classification of Diseases and Related Health Problems 10th Revision (ICD-10). WHO Press.
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• Bhise, V., & Rao, K. (2019). Clinical data standards: Enhancing interoperability. Health Data Science, 2(1), 10–20.