Clinical interfaces cannot be completed fast enough. One of the keys to speeding up an HL7 interface project is a solid common data model. This concept often holds the key to scalable and robust interfaces, delivered on an accelerated timeline.
A well thought out, normalized, data model simplifies the actual interface code, avoids duplicated development effort and, most importantly, virtually eliminates regression errors during validation and implementation stages. Investing a bit of proactive effort into developing a common data structure pays massive dividends from the first HL7 interface. A common model separates various systems and allows for smooth migration of interfaces when a new EHR system is deployed, or additional clinical partners are added to a solution. Effort spent building out a common data model upfront contributes to more predictable, and overall shorter, interfacing projects.
NPO’s Success Story
Our experience with Northern Physicians Organization is a great example of benefits to this approach. A common, robust, data model, was at the core of this project. Hundreds of physician practices and a number of participating health systems were able to come on-line with ease and minimal effort. You can learn more about NPO’s experience in this video we recently posted. A common data model is a significant, often overlooked, way to speed up HL7 projects. We have itemized 4 more in our popular white paper – 5 Ways to Speed up Your HL7 Integration.
If you’d like to chat about how your projects can benefit from this approach, stop by our booth at HIMSS20, booth 4141, or contact us to learn how we could help.
Want to Discover More?
iNTERFACEWARE is excited to be hosting an interactive session with NPO’s Ed Worthington in person at HIMSS20. Sign up now to reserve a spot for this promising discussion to learn why industry leaders continue to choose Iguana for their integration engine needs.