Dedalus Unveils Clinical Order Sets Standardisation Method at MIE2023
MIE, which stands for ‘Medical Informatics Europe,’ is an annual academic gathering organized by the European Federation of Medical Informatics (EFMI). In 2023, this prestigious event found its home in the historic city of Gothenburg, Sweden, where it brought together scholars and professionals from around the world. The conference’s overarching theme, ‘Caring is Sharing,’ encapsulated the essence of the evolving landscape of health data sharing, resonating not just within the boundaries of Europe but echoing globally.
Among the objectives of the Dedalus Medical Office, the creation of clinical content, inclusive of standardized order sets, stands as a paramount mission. These standardized order sets assume a pivotal role in fostering adherence to evidence-based guidelines, thereby serving as a linchpin in averting clinical errors originating from incorrect orders.
Dedalus holds unwavering commitment to an ethos of evidence-based research and development, a policy that engenders genuine trust among the diverse users of our sundry digital health tools. Consequently, it is with a sense of purpose and dedication that we elected to unveil our methodology at MIE 2023.
Standardized order sets represent a practical manifestation of clinical decision support mechanisms, serving as a valuable tool for enhancing compliance with established clinical guidelines. These order sets comprise a curated compilation of recommended orders tailored to specific clinical scenarios. In our pursuit of advancing this essential healthcare resource, we have devised a systematic framework that not only streamlines the creation of order sets but also enhances their interoperability, thereby augmenting their overall utility.
Our approach involved a comprehensive assessment of various orders documented within electronic medical records across diverse healthcare institutions. These orders were meticulously categorized into distinct orderable item groupings, each accompanied by precise and unambiguous definitions. To ensure seamless interoperability, we executed a mapping process, linking these clinically relevant categories to the Fast Healthcare Interoperability Resources (FHIR) standards, thereby affirming compatibility with established healthcare data exchange protocols.
Subsequently, we leveraged this structured framework to implement a user-friendly interface within the Clinical Knowledge Platform. Central to our strategy were the utilization of standardized medical terminologies and the incorporation of clinical information models, such as FHIR resources. These elements serve as pivotal components in the development of decision support systems that are both reusable and clinically meaningful.