Spotlight: Giovanni Giannola @ Globalesm
A spotlight is a short-form interview with a leader in health tech. In this spotlight, you'll hear from Giovanni Giannola, founder of Globalesm.
What does Globalesm do?
Globalesm is a healthcare technology consulting and development company. We help healthcare organizations and software companies connect their systems, automate workflows, and build software around their operational needs. Our work includes EHR integrations, clinical data exchange, and eligibility and claims workflows using standards like HL7, FHIR, and X12. We stay involved from architecture through implementation and ongoing support, with a simple goal: make technology work reliably so teams spend less time moving data and more time using it.
How did you end up working in health tech?
My background is in computer engineering and software development. Working in healthcare showed me how directly a technical problem can affect someone’s day. An interface failure or a missing piece of data can mean extra work for staff, a delayed claim, or information a clinician doesn’t have when they need it. That connection between engineering and real operational challenges is what keeps me interested. Through Globalesm, I get to combine hands-on technical work with helping organizations solve problems that matter to their teams and patients.
How does your role intersect with revenue cycle management (RCM)?
My role sits where healthcare operations and the systems supporting payment meet. We help connect the platforms that move patient, coverage, and billing information between providers, EHRs, clearinghouses, and payers. That includes eligibility verification and claims-related integrations. From an engineering perspective, successful RCM starts well before a claim is submitted. Accurate data, reliable interfaces, and clear exception handling can help prevent avoidable rework. I focus on making those connections dependable and giving teams visibility when something needs attention.
What do you think RCM will look like two years from now?
I expect more RCM work to happen earlier in the patient journey, with coverage checks and potential billing issues identified before they become downstream problems. AI will likely help teams interpret payer responses, prioritize exceptions, and reduce repetitive work. But the biggest gains will depend on reliable integrations and accurate underlying data. Adding AI to disconnected systems only gets you so far. The organizations that make meaningful progress will combine automation with clear human oversight and measure success through fewer avoidable denials, less manual work, and faster resolution.