Blog
Articles on voice assistants, chatbots, neural networks, the digital infrastructure of hospitals and data protection in medicine. Written by the Consdinamic team, with figures and sources.
AI voice assistants for medical appointments: how they work
How an AI voice assistant takes a clinic's booking calls, what the evidence says about no-shows and reminders, and which questions to ask a vendor.
Read →FAQ chatbots for patients: what they answer, where they stop
Which questions a hospital FAQ chatbot can take, where it hands over to staff, how answers are grounded in approved documents, and what to check before buying.
Read →How a neural network is trained: a guide for hospital leaders
What a model is, what data it learns from, how it is measured, why performance drops in another hospital, and which questions to ask a vendor before signing.
Read →Pharmacogenetics in oncology: DPYD, TPMT, UGT1A1 and safe dosing
What guidelines and trials show about testing DPYD, TPMT/NUDT15 and UGT1A1 before chemotherapy: toxicity, costs, MDR/IVDR, GDPR and steps for hospitals.
Read →GDPR in healthcare: controller, processor and de-identified data
What the GDPR asks of a hospital working with software and AI vendors: legal bases for health data, the processor contract, DPIA, deadlines and fines.
Read →The digital hospital: from the front desk to interoperability
A hospital's systems, why they rarely talk, what EHDS and NIS2 require, where Romania and Moldova stand, and how to add automation without replacing them.
Read →Hospital wayfinding: the cost of getting lost and the QR fix
What poor wayfinding costs a hospital, which signage principles work, how beacons, apps, kiosks and QR codes compare, and a four-week plan for one building.
Read →Patient reviews: why the response rate matters
What published surveys say about how patients pick a clinic from reviews, what responding does to ratings and trust, and how to automate replies responsibly.
Read →Neural networks in digital pathology: how a model reads a slide
What a whole-slide image is, how a model learns from annotated tiles, what studies and clearances report, what EU rules require and what a hospital needs.
Read →The European Health Data Space (EHDS): what hospitals must know
Regulation (EU) 2025/327 explained: the 2027-2031 deadlines, patients' rights, secondary use, EHR system requirements and a practical checklist for hospitals.
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