Manually writing records for 30–40 patients a day exhausts doctors and increases the risk of errors. The tool Namik promises that AI will take over part of this burden—from recording the conversation to proposing structured documentation. The goal is to cut the “paperwork” by roughly two hours a day and give doctors back time for medicine and family.
How the AI assistant works in the clinic
Namik is meant to integrate directly into outpatient software, record the conversation between the doctor and the patient, and immediately transcribe it into “raw” text in Slovak. From that, the AI extracts key data and fills in the selected medical documentation schema according to the visit type. It includes intelligent suggestions for diagnoses, prescriptions, and alerts for possible contraindications. The doctor always has the final say: they see the original text, can edit everything, and simply approve the output.
Promised benefits, project status, and limits
The creators speak of reducing administrative burden by roughly a third, faster and more accurate diagnostics, and a lower risk of medical errors. The extra time saved, they say, can make it possible to see more patients and increase the clinic’s revenue. The current MVP handles transcription into Slovak and disease classification by ICD; the next step is seamless integration with clinic software and improving the model.
The authors emphasize compliance with GDPR and local healthcare regulations, but admit that ethical questions and accounting for diverse populations are still a work in progress. For now, they use a base AI model without custom training and have tested the results mainly internally with a single doctor. To prevent blind reliance on AI, the system is designed to flag inconsistencies and potential errors—as an assistant, not a replacement for the physician. The business plan envisages a B2B SaaS model and a monthly subscription of approximately €8 per doctor.
