Why Analytic interoperability matters in Healthcare?
Let’s face it. Data sharing between platforms in health care just isn’t facile. Patient data privacy concerns, incompatible file formats, asynchronous identifiers … I’ve aurally perceived it all. From the electronic health record (EHR), picture archiving and communication systems (PACS) to discrete processes like pharmacy or departmental information systems, achieving some level of integration seems homogeneous to a pipe dream. So, where does this leave the analyst who wants to solve involute issues cognate to ameliorating health outcomes?
Achieving Analytic interoperability
Having a view of all our health care interactions in one place was the goal of the electronic health record. The dream was that a patient would not have to answer the same questions for each incipient medico or clinic because there would be consummate access to all our medical history. This has yet to materialize, even in the most connected and simplified health care settings.
To further perplex is paramount, much of the data that would be utilizable to medical providers aren’t concrete to patient health. Convivial determinants, including inculcation and environmental exposure, along with fitness tracking and other incipient data are not yet customarily used to drive better health outcomes.
In authenticity, most of today's analytic projects could be described by the graphic below. In this scenario, the EMR is a primary source of patient data, but it's cumulated with other third-party and proprietary data sets to arrive at an analytic data set that fortifies predictive modeling and AI.
Analytic interoperability occurs when germane patient data is assembled and distributed through one access point with one goal in mind: better outcomes. It sanctions the caregiver to better understand the patient; operations and financial leadership are better able to orchestrate; and it aligns the network of providers, both incipient and old, to the desiderata of the population they accommodate and the channels they operate.
Analytic interoperability is driven utilizing standards, including FHIR, DICOM, HL7, and other proprietary coding sets utilized within the health care world. However, standards do not enforce data quality. The lack of trustworthy and timely data is still a barrier to many analytic projects.
Benefits of Analytic interoperability
As with other industries, there's an incrementing interest in data-driven decisions throughout the health care system. As we visually perceive a growing need to collaborate among care providers, operational staff, executive leadership, and the incipient players in health care, there's a corresponding desideratum for data consistency and access. Convergence between health and the pharmaceutical industry, as well as an incrementation in retail-driven health care, engenders the desideratum to apportion data.
One simple benefit of this approach is medication. Interoperable health care provides a clinician with a precise and timely medication list without relying on patient recall. This information avails avert the prescription of contraindicated medications, sanctions tracking through the pharmacy, and avails eschew potential high-cost emergency care.
Another example is bringing data from home contrivances into the hospital to manage chronic conditions remotely, such as diabetes. Soothsaying the next patient intervention and applying preventative measures to avail keep them at home and well is a direct result of analytic interoperability.
How does SAS enable interoperability?
SAS can avail throughout the peregrination to analytic interoperability. Whether it's wrangling the data, providing the industry solutions, or engendering the platform for advanced analytics, SAS can avail engender better insights for patients and health care staff, whether clinical, operational, or technical.
Because the cloud is now more accessible to the health care industry, there has never been a better time for interoperability in all aspects of care. Linking data together to engender the 360-degree view of the patient and their health ecosystem will contain costs, ameliorate quality, and increment access to health care.
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