Genova AI is a Hungarian-developed clinical software designed to simplify and accelerate medical documentation processes. The solution was presented by Oláh Péter, healthcare data analyst and IT expert at EasyDoc, together with Dr. Kirschner András, CEO of Swiss Medical Services, at the Private Health Forum on September 10, 2024.
What the system does
Genova AI does not make diagnoses; its purpose is to extract structured, searchable data from unstructured medical records to support clinical decision-making. The platform is modular and can integrate directly with existing Hospital Information Systems (HIS), avoiding the need to replace current medical software.
Key components include:
- a dictation/transcription module that works with a computer microphone or smartphone;
- an anamnesis summary complemented by an intelligent chatbot;
- drug-utilization and pharmacy modules currently under development.
Data protection and security
The system starts with local data download and immediate anonymization: only anonymized data are sent to external large language models (LLMs), and all sensitive health data held in memory are deleted at the end of the process. The developers emphasize compliance with GDPR and NIS2 regulations. A practical benefit is that clinicians do not need to upload patients’ personal data to public AI services like the public ChatGPT, reducing institutional data-protection risk.
Deployment, usage and measured results
Genova AI was deployed across four Swiss Clinic sites. The rollout included a six-month testing period followed by three months of live use. Since deployment, 24 physicians have used the software, which has processed records for about 1,500 patients and roughly 27,000 health documents. Average processing time per document is reported at about 2 seconds.
Measured effects on consultation length: previously 35-minute visits can be reduced to about 20 minutes, and 20-minute appointments to 15 minutes. That can translate into up to two hours saved during an eight-hour clinic day. From a financial perspective, a private medical practice’s full operating cost may reach 60,000 forints per hour, so time savings have direct cost-reduction impact.
Savings can be allocated to lowering patient fees, paying physicians extra compensation, or investing in further technology.
Case study: resolving a 16-year diagnostic mystery
A practical illustration of Genova AI’s clinical utility involves a 26-year-old female patient who suffered back-radiating, intermittent abdominal pain for 16 years. She had consulted doctors 50 times and been hospitalized 20 times previously. Prior evaluations suspected biliary, pancreatic or peptic ulcer conditions without definitive findings. The patient arrived with some 70–80 pages of paper records and an additional 20–30 pages of results stored in the Electronic Health Service Space (EESZT).
With the patient’s consent, the Swiss Clinic physician launched Genova AI’s analytics module. The system downloaded and structured the EESZT data in 52 seconds, revealing prior emergency care at Honvédkórház and previous ineffective medication regimens. Using the built-in chatbot, the physician queried possible causes of the symptom complex. Alongside standard gastroenterological diagnoses, the AI proposed Median Arcuate Ligament Syndrome (MALS) — a rare congenital compression of the abdominal artery — as a fourth option and listed the diagnostic steps required to confirm it. A subsequent angio-CT validated the suspected arterial compression, enabling planning of a definitive surgical intervention.
Conclusion
The Genova AI deployment demonstrates how AI-assisted tools can reduce administrative burden, speed up data processing and support clinicians in identifying diagnostic pathways without issuing standalone diagnoses. Early deployment metrics show rapid document processing, substantial volume handled and measurable reductions in consultation times.
