Healthcare Case Study

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It has been a foreseeable goal of healthcare organizations to solve integration and interoperability problems across systems with disparate EMRs since the introduction of health information exchanges, with the emphasis on improving clinical outcomes and containing costs. The Vermont HIE did just that in 2015 when they successfully interfaced all 14 Vermont hospitals to their HIE through the initiatives of the Vermont Information Technology Leaders or VITL (Raths, 2016). VITL was able to accomplish this by developing a clinical data warehouse that allowed them to create data marts for Accountable Care Organizations or ACOs. Realizing head on that for ACOs to integrate processes and improve care coordination, VITL stressed the need for data…show more content…
Moreover, once interoperability is achieved, providers in the acute care facility would be able to prevent potential complications from occurring and decrease recovery time. It keeps providers from second guessing and duplicate recording therefore wasting time, effort, and cost. This case is important because it sets the precedent for HIEs in other states to follow suit. VITL has managed to expand the care delivery model to one that covers population health management through the integration of data from every area in the care process, something that is essential to data collection and analysis (Skelley, 2016). And data is the prime commodity here because it bridges the gap between the provider and the patient so without quality data, the exchange of information amongst the ACOs is meaningless. VITL boasts of using a clinical data warehouse to create the data marts necessary for ACO analytics, providing more complete information to the 3 major ACOs in the states, namely OneCare Vermont, Community Health Accountable Care and Health First (Vermont Information Technology Leaders Inc., 2016). The data exchanged between the ACOs are not only complete, but are also accurate thereby ensuring its quality. The HIE should be consistent in adhering to standards in assessing the quality and consistency of the data to ensure interoperability (AHIMA Work Group, 2013). This ensures the smooth flow of information proceeding to

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