Unlocking Clinical Data Will Result in Better Patient Outcomes
healthcaretechoutlook

Unlocking Clinical Data Will Result in Better Patient Outcomes

Healthcare Tech Outlook | Monday, August 09, 2021

The need to comprehensive perspective of the patient is more than ever to properly administer care and improve population health. How are we going to get there? The industry appears to have reached an agreement on the solution: interoperable systems.

Fremont, CA : If there was ever a moment to ensure that providers have access to the most up-to-date, linked data, it is now. Yes, during the last decade, we have effectively transitioned from paper file systems to electronic health records (EHRs). However, the COVID-19 pandemic has demonstrated that this is insufficient. The need to a comprehensive perspective of the patient is more than ever to properly administer care and improve population health. How are we going to get there? The industry appears to have reached an agreement on the solution: interoperable systems.

The early digitalization phase assisted in the development of the EHR system. But now intend to go beyond EHR and into API-enabled, interoperable solutions. Technology has progressed so much in the last decade that the toolset now includes blockchain, sophisticated analytics, and, of course, CRM. However, they are not all nicely packed in the EHR.

With the rise of value-based care, and regulatory changes, the fast growth of industrial data and services, needs access to contemporary digital capabilities. It's all very exciting, but it will take some time before interoperability becomes normal, and patients can fairly expect a consumer experience that is as simple as purchasing dinner online or being offered entertainment that is as convenient as ordering dinner online.

These four stages, as defined by the Healthcare Information and Management Systems Society (HIMSS), are as follows:

Foundational

Establishes the interconnection criteria required to safely exchange data from one device to another.

Structural

Defines the format, syntax, and organization of data interchange, including interpretation at the data field level.

Semantic

With resulting in shared knowledge and meaning for the user, it allows similar underlying models and data codification.

Organizational

Governance, policy, social, legal, and organizational issues are included to allow secure, frictionless, and timely data exchange and usage inside and across companies.

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