A real-world tutorial to help you share data faster, securely, and avoid common data integration pitfalls.
From patient-facing apps to analytics and evidence-based medicine, healthcare is changing before our eyes. As the builder of a unique solution for the healthcare market, you’re helping organizations move data out of siloed systems and EHRs and deliver valuable insights to people who need it most.
But moving data in and out of EHRs is painful. Each healthcare application has its own requirements and preferred standards, meaning every integration is unique, complex, and could potentially sidetrack your go-lives.
Interoperability plays a key role in your solution and requires your team to slay a lot of dragons to get to where you’re going. With the right strategy and partner, interoperability happens in the background while you focus on getting to the golden cup.
In this guide, you’ll find best practices and worksheets to help you accelerate and simplify the data integration portion of your quest—er, solution, including:
- 5 common data Integration pitfalls
- A chart comparing DIY vs. fully managed data integration approaches
- 14 health data integration goals every health tech vendor faces, and tips for reaching them