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Founder’s Take: AI + FHIR + Data Standardisation in Healthtech

Max Health.tech

Podcast


Deeply Rooted in Healthtech – A Founder with Future-Proof Insights

From academia, FHIR developer at Firely, to start-up founder in deep healthtech,
Maximilian Nussbaumer shows the path to optimal digital transformation through data interoperability and AI adoption.

 

Our Founder’s Highlights

FHIR finds its optimal usability with AI
Data without AI? Sure, good.
But FHIR + AI for data standardisation = the most valuable asset.

Faster, Safer, and Less Costly

“What used to take a year can now be built in days.” – Max

With AI-assisted development, coding is cheap.
Insight: The bottleneck is no longer engineering — it is deep understanding of the healthcare domain and selecting the right problems.

 

  1. Resource Optimisation = The Ultimate Goal

Healthcare has all the tools and standards, but it lacks financial incentives.
Navigation care is prioritised over preventive care. The ultimate goal is to reduce resources by optimising them — yet some companies’ business models are built primarily around reducing paperwork for nurses or specialists.

  1. Fields where AI + FHIR can enable efficiency:

  • Preventive interventions

  • Fewer unnecessary ER visits

  • Patient self-management

  • Earlier decision support

 

  1. Reducing System Strain

Building on the observation above, Max highlights how AI will reduce system strain on doctors rather than replace them.

Near-term impact is extremely hands-on and practical:

  • Structuring messy clinical data into FHIR

  • Real-time event and situation understanding

  • Remote diagnostics

  • Offloading emergency systems

  • Turning raw data into actionable guidance

One way to optimise doctors’ efficiency and time is to keep people out of hospitals by identifying the exact preventive and navigation care needs through data analysis and filtering using FHIR.

 

  1. Stable Standards for Innovation

FHIR core developments, such as the R6 direction, allow faster building with less ambiguity, while AI helps with mapping across standards.

Stability over flexibility.

Patients are at the core of the data-sharing strategy.
The gap: Patients do not control or benefit from their data. The goal is therefore to place patients at the centre of interoperability and data ownership.

 

For founders, builders, and healthcare leaders, this is where real leverage sits today.

This podcast highlights how AI + Data Standardisation + Developer Awareness synchronise for impact in the FHIR landscape.

Data is most valuable when combined with AI and FHIR adoption. Standardisation enables faster, more stable processing and sharing — allowing developers to build faster and more securely, while optimising resources, structurally unburdening doctors, and keeping patients at the centre of how their data is used and processed.

In other words: speed, data safety, patient and physician awareness, data control and stability, developer vigilance, and resource optimisation through accurate technological advancement and synchronisation.

AI + FHIR + standardised data is the way forward — if patients, infrastructure, and security remain at the core.

Listen to the full podcast with Maximilian Nussbaumer here

 

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Discover our resources

SMART on FHIR in real-life practices talk at the HL7 FHIR DevDays 2025 YouTube

Out of the FHIR Podcast Substack

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