Rapid technological changes to the infrastructure that supports medical data represents a historic opportunity for the health industry to understand and optimize digital health transformation. Its goal: realize the power of interconnected systems to focus on the needs of individual patients.
To achieve this outcome, each interconnected component of a healthcare ecosystem (governance and workforce, interoperability, predictive analytics, and person-enabled health) must align with and enable every other component.
Ensuring that each component achieves its potential requires that outcomes for each are measured in a standardized, repeatable way. In the second of a four-part series, we consider the elements that must be measured to verify the effectiveness of interoperability.
As digital devices and the infrastructures that support them have grown more sophisticated, so has data interoperability among information systems, devices and applications in healthcare organizations.
While analog patient records and other data were limited in their scope and physically scattered, digital transformation allows clinicians and their organizations to access, exchange, integrate and cooperatively use data dynamically. To optimize patient outcomes, data may cross organizational, regional and national boundaries.
Data interoperability requires increasingly sophisticated data exchange architectures, application interfaces and standards. These provide the data tools necessary to access and share information appropriately and securely across the complete spectrum of care, within all applicable settings and with relevant stakeholders, including individuals.
These capabilities comprise interoperability, which HIMSS measures within the following parameters:
Assessed via standardized performance metrics, interoperability is the key to unity among disparate specialties and functions within and across healthcare organizations.
Simply put, validated interoperability ensures all relevant data is focused on patient needs. Combined with the other three components of the healthcare ecosystem, it gauges organizational effectiveness in providing optimal outcomes for the patients it serves.
The next post in our series on measuring digital health transformation will explore predictive analytics.
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