Answer 3 for DNP 805 Discuss the type of integration data from your defined patient population in Topic 4 DQ 1 would require
Answer 3 for DNP 805 Discuss the type of integration data from your defined patient population in Topic 4 DQ 1 would require
Healthcare data integration services entail integrating technology, concepts, and teams when creating the infrastructure capable of big housing data and using it in a meaningful way while addressing data accessibility, ownership, and privacy (Austin et al., 2020). This framework is essential because it provides a way to use existing data to create a comprehensive health record that closely examines a multitude of sourcing informational summaries, enabling proper attention to be paid to the needs of clinicians, as well as providing opportunities for patient lifetime development (Austin et al., 2020). Coinciding with healthcare data integration, clinicians can now benefit from seamlessly searching among a wide array of healthcare systems to grasp a detailed understanding of an individual patient is HER (Austin et al., 2020). Integrating different data types within both exchange of health information as well as EHR systems can assist healthcare organizations in getting more out of their EHR systems. In contrast, firm health data governance policies can improve EHR data integrity (Austin et al., 2020). The strengths of data integration in healthcare combine real-time and historical data analysis to predict trends, improve care, and drive long-term growth (Austin et al., 2020). Most systems currently grant providers demographic informational accessibility, results from lab examinations, and lists of medicinal and allergic aspects, accompanied by various other patient EHR information (Austin et al., 2020). Despite this, social determinants of health data are still largely absent from clinical data (Austin et al., 2020).
EHRs can be comprehensive systems that manage clinical and administrative data; for example, an EHR may collect medical histories, diagnostic data, laboratory data, and physician notes, consults, and assist with billing, inter-practice referrals, appointments, scheduling, and prescription refills (Colquhoun et al., 2020). Clinical data derives from reputable sources such as laboratory records, reports from radiology, and HER (Colquhoun et al., 2020). Administrative information entailing billing employed information data (e.g., hospital as well as professional billing documentation) alongside the involvement of oversight pertaining towards health systems (i.e., system documentation from either transfer, admission, or event registration, accompanied by even discharge) (Colquhoun et al., 2020). Sourcing from clinical-based information may provide additional comprehension compared to administrative information but does provide the downside of additional processing when ensuring secondary usage (Colquhoun et al., 2020). For example, a CHF diagnosis with origins deriving from clinical data possibly needs to acknowledge laboratory values from serum blood sugar, consider medication treatments, and text search unstructured clinical notes (Colquhoun et al., 2020; Park et al., 2009). Data from administration provide a powerful framework but can also provide scope restrictions. For example, a CHF diagnosis may be readily identified in administrative data as a single structured data element (e.g., International Classification of Diseases, Tenth Revision [ICD-10], code I50. 20). Registries can potentially blend these by including both clinical and administrative data to leverage the strength of each at the cost of additional data validation or adjudication (Colquhoun et al., 2020; Park et al., 2009).
References
Austin, R. C., Schoonhoven, L., Richardson, A., Kalra, P. R., & May, C. R. (2020). How do SYMPtoms and management tasks in chronic heart failure imPACT a person’s life (SYMPACT)? Protocol for a mixed‐methods study. ESC heart failure, 7(6), 4472-4477.
