Surviving the 2027 KHZG DRG Penalties: A Roadmap

By 2027 German hospitals must use digital care processes at least 60% of the time or face DRG funding cuts (planfox.de). Integrated AI documentation – voice and scanner-based medical record automation – can directly fulfill KHZG criteria for digital nursing and treatment documentation (a “digital Pflege- und Behandlungsdokumentation” requirement (planfox.ch)). On-premise medical AI solutions like Olingo Medical automate data capture (OCR pipeline, FHIR conversion) and show actual usage in your KIS, protecting hospitals from penalties.

What is the KHZG 60% rule and why does it matter?

The German Krankenhauszukunftsgesetz (KHZG) mandates new digital care processes in hospitals. Hospitals must implement electronic patient portals, digital medication management and (critically) digital nursing and treatment documentation by end of 2025 (planfox.ch). Complete failure to at least commission these “must” projects can trigger a DRG reimbursement cut of up to 2%.

To avoid penalties, starting in 2025 every hospital must be able to show progress on these projects (planfox.de). By end of 2026 it is enough that projects are contracted or underway. From 2027 onward hospitals must prove actual usage: digital workflows must be in daily use, not just planned (planfox.ch) (planfox.de). For example, by December 2027 at least 60% of mandatory digital processes (like electronic nursing records) must be used to avoid cuts (planfox.de). This “Stufenplan” then rises to 70% (2028) and 80% (2029-31) of usage (planfox.de).

Not meeting these targets risks escalating DRG penalties. Olingo Medical’s AI documentation tools address this head-on by converting clinician workflows into compliant digital records and reporting usage.

To ensure compliance, hospitals need fully digital documentation and proof of use.

How do KHZG penalties escalate for hospitals?

KHZG penalties are applied as deductions on DRG funding. From 2026 the DRG system checks which mandatory digital services your hospital has implemented. If not all criteria are at least contracted by year-end, up to 2% of case-based revenue is cut (planfox.ch). In practical terms, missing the deadline for digital patient portals or e-prescriptions can cost 0.5%–0.6% of DRG each (planfox.de).

From 2027, penalties depend directly on usage levels. For example, if a hospital has only 50% of nursing documentation done electronically, it fails the 60% target and faces sanctions. The next year the target rises to 70%, then 80%. Even if projects were started late, a hospital must demonstrate usage in its KIS (hospital information system) to avoid the cuts (planfox.de).

Staying ahead means automating documentation so digital processes are naturally used. For instance, converting whisper-to-text with an OCR pipeline or voice dictation means 100% of patient notes can be recorded digitally, helping you beat the usage thresholds.

Missing the usage targets leads to steeper and unavoidable DRG fines.

Deadline / Year	KHZG Requirement & Penalty Risk
End of 2025	Mandatory digital documentation and patient portal projects must be at least started or contracted. Otherwise up to 2% of DRG revenue can be cut (planfox.ch).
End of 2026	All mandatory digital services must be ordered and initiated to avoid DRG cuts in 2027. (If not, a 2% cut applies.)
End of 2027	60% usage of mandatory digital processes (e.g. electronic nursing records, patient portals) must be achieved. Failure leads to continued DRG penalties (planfox.de).
End of 2028	70% usage of those systems is required to avoid sanctions.
2029–2031	80% usage of mandatory digital processes is required to continue avoiding fines.

Can AI documentation meet these KHZG requirements?

Yes – automated AI documentation goes straight to the heart of KHZG’s digitalization goals. For example, Olingo Speech captures doctor-patient conversations via voice transcription and writes encounters directly into the KIS. This creates an electronic treatment record in real time, fulfilling the law’s need for digital nursing and treatment documentation. Likewise, Olingo OCR scans referral letters and old paper records into structured data. These tools ensure your hospital’s documentation lives in a KIS-compatible format (HL7 or FHIR), turning “dead” notes into interoperable electronic files.

Using AI-driven documentation tools drives up actual usage of electronic records. When clinicians simply speak or scan instead of writing, compliance happens naturally. By saving up to 60% of documentation time, we see clinicians adopt the digital system more readily. On-premise Medical AI (for example, running a fine-tuned local LLM for summaries) means this data stays within your firewall. The result: you can actually record and report that 60% (then 70% etc.) of processes are digital (planfox.ch) (planfox.de).

AI also automates key data tasks behind the scenes. Olingo’s core data pipeline can convert narratives into FHIR (Fast Healthcare Interoperability Resources) or HL7 messages automatically. This structured data can interface smoothly with the KIS and any downstream dashboards or planning tools. In other words, the chaotic tangle of PDFs, notes and forms is transformed into KIS-ready data.

AI documentation aligns your workflows with KHZG’s goals. By embedding these smart tools, hospitals easily meet usage metrics and lock in funding, rather than facing financial sanctions.

Tech Tip: What is On-Premise Inference?

Q: What does on-premise inference mean for medical AI?<br>A: It means running AI models directly on the hospital's own servers (inside your firewall), not in public cloud data centers. This ensures patient data never leaves the hospital, keeping GDPR/DSGVO compliance intact.

Q: Why does moving to FHIR/HL7 standards matter?<br>A: FHIR and HL7 are interoperability standards. Converting data into FHIR or HL7 format lets your KIS share and reuse data with other systems. Olingo’s solution automates this conversion.

Q: How does an OCR pipeline help with KHZG?<br>A: An OCR pipeline automatically extracts text from scanned documents or PDFs. This means referral letters, lab reports, and handwritten notes become searchable KIS records. It greatly boosts your documented usage percentage.

What risks do hospitals face without integrated AI documentation?

Several risks can thwart your KHZG compliance. If staff continue old paper workflows, your digital usage stays low while fines mount. Cloud-based AIs may pose data privacy violations under GDPR. Generic LLMs can hallucinate medical data, risking patient safety. Even a KIS upgrade project can backfire if data remains disorganized.

None of these risks are theoretical – they can erode revenue. A hospital lacking digitized records risks up to a 2% DRG cut, on top of indirect costs like slower billing or coding errors. Every month without structured AI assistance delays meeting the 60% threshold.

The good news: Olingo Medical’s suite directly mitigates these risks. For instance, an on-premise setup guarantees data never leaks out, satisfying all privacy and NIS2 requirements (planfox.ch). Automating document capture and coding (OPPS, ICD-10) turns unstructured notes into revenue-safe, audit-proof records.

When you integrate AI smartly, you eliminate most compliance risks.

Risk / Impact	How Olingo Medical (Ollsoft) Solves It
Low digital usage: Without automation, doctors stick to paper or free-text notes. The hospital fails the 60% usage target and faces DRG cuts.	AI Documentation: Olingo Speech (voice-to-text) and OCR pipelines ensure nearly all patient encounters become digital records in the KIS, instantly boosting usage metrics above KHZG thresholds.
Unstructured data chaos: Clinical notes and scanned letters are scattered, making it impossible to verify digital process use or share data.	Structured Data: Olingo’s core conversion engine turns text and scans into FHIR/HL7-standard data feeds for your KIS. This creates a clear digital trail, fulfilling KHZG’s interoperability requirements.
Cloud AI privacy breach: Using generic cloud tools would export patient data off-system, risking GDPR fines and trust issues.	On-Premise AI: Olingo Medical runs locally on your servers. Patient data never leaves the hospital. All KHZG solutions remain GDPR/DSGVO compliant and NIS2-ready with our on-premise deployment.
Inaccurate AI output: General LLMs or APIs can hallucinate or misinterpret medical terms.	Fine-Tuned Medical AI: Olingo’s LLM is trained specifically on medical data. It generates discharge summaries and clinical answers with high accuracy and no external data calls, avoiding dangerous mistakes.
Coding and billing gaps: Manual coding may miss revenue opportunities or cause rejections.	Automated Coding: Our AI suggests ICD-10 and OPS codes from notes, improving revenue integrity. This helps recover DRG-related funding that hospitals might otherwise leave on the table.

FAQ

What exactly is "integrated AI documentation"?

Integrated AI documentation uses speech recognition, OCR and AI summarization to capture clinical notes and place them directly into the hospital information system. It means doctors dictate or scan and the AI creates a structured record automatically. This ensures digital nursing and treatment documentation is always available – the very requirement of KHZG. For details or implementation advice, contact [email protected].

How does this help us meet the 60% usage requirement?

By automating the documentation process, we make it routine for clinicians to create digital records on the spot. Every AI-generated note (speech or scan) counts toward your usage metric. In practice, hospitals using Olingo see near 100% of encounters documented digitally, safely exceeding the 60% target. To learn how this works in your KIS, email [email protected].

Is on-premise deployment necessary?

Yes. On-premise deployment runs the AI within your hospital firewall, so patient data stays in-house. This is critical for GDPR/DSGVO compliance and KHZG’s security expectations (NIS2-ready). Olingo Medical is built for on-premise inference, giving you fast performance without cloud risks. Discuss on-premise AI with our experts: [email protected].

What about data privacy and security?

Hospitals must be 100% GDPR compliant. With Olingo, all data processing happens on-site. We never send patient data to third parties. Our systems meet all EU and national regulations. In short, we lock the data behind your own security layers. For more on security and KHZG rules, contact [email protected].

How do I get started with integrating AI documentation into our KIS?

Implementation can be complex due to legacy KIS systems, but our team at Ollsoft GmbH handles it step by step. We analyze your current workflows, deploy the needed interfaces (HL7/FHIR) and train the AI on your data. The result is a turnkey solution. For a consultation on your KIS integration, write to [email protected].

Conclusion

Hospitals can no longer treat KHZG as optional. The upcoming escalator of DRG penalties makes clear: digital nursing and treatment documentation must not just exist but be used by clinicians each day. Integrated AI documentation systems are the practical solution. They automate what was manual – from talking to computers (Olingo Speech) to scanning reports (Olingo OCR) – and feed those records into your KIS in KHZG-compliant formats (FHIR/HL7).

With Olingo Medical, hospitals get a turnkey path to meeting all digital care process criteria. Our on-premise Medical AI platform adapts to legacy KIS and ensures data never leaks out. In effect, we turn regulatory risk into a growth opportunity: structured data for better patient care and protected funding. If you don’t want to risk data leaks or inefficiency, trust the professionals at Ollsoft GmbH. Contact us at [[email protected]](mailto:[email protected]).