Perception Crisis of AI in Healthcare
Why is physician and patient trust in AI weak? Approaching the perception crisis with scientific and ethical rigor.
Read article (TR) →What is
Opinion AI?
Opinion AI is a bridge platform connecting the two sides of the healthcare ecosystem in a single intelligent layer. TIS (hospital side) interprets HBIS, MMIS, social insurance and clinical data flows with MINA; it builds a live digital twin for every patient. SIT (insurance side) evaluates the same case with MINA; the specialist's time stays on critical decisions. Both sides see the same document, the same clinical summary and the same AI score.
Explore the PlatformTwo platforms,
one bridge.
The doctor, hospital and laboratory side runs on TIS (MINA + MINA Cockpit); the insurance side runs on SIT (MINA + MINA Cockpit). Data stays inside each institution; the two platforms connect via a shared bridge protocol.
For Doctors TIS
Safer and more continuous patient care. Holistic clinical context, early risk signals and evidence-based decision support.
ExploreFor Hospitals TIS
An intelligent layer on top of HBIS. From pre-authorization to audit, from inventory to medical accounting — the entire operational flow is interpreted in a single cockpit with MINA.
ExploreFor Insurance Companies SIT
Medical decisions in the pre-authorization process are validated against scientific sources; missing documentation, coding errors and fraud risks are flagged in advance.
ExploreFor Laboratories TIS
Lab results flow into the patient's digital twin's "Vital & Lab" layer. AI-driven analysis, batch OCR and reimbursement compliance run throughout the pipeline.
ExplorePatient Digital Twin TIS
A patient's clinical, lab, imaging and discharge data in a single live profile. Data quality indicator and instant synchronization — no batches, no waiting.
ExploreEthics & Compliance TIS · SIT
Data stays inside the institution. GDPR-compliant local storage, AES-256 encryption, and auditable AI outputs justified with sources.
Explore
Benefits
From data to outcome
Not abstract AI,
tangible value.
MINA delivers measurable change in the daily operations of the healthcare ecosystem — clinical, financial, administrative and audit-facing alike. Processes accelerate, errors drop, decisions become traceable.
01
Care quality improves
Holistic clinical context, early risk signals and evidence-based decisions improve patient safety.
02
Pre-auth time shrinks
Operators no longer start each file from scratch; they begin with MINA's clinical synthesis and risk score.
03
Rejection rate drops
Missing documents and incorrect coding are flagged before the application reaches the counter-party.
04
Inventory and cost leaks shrink
MMIS data is regularly scanned with 60- and 90-day thresholds; the silent budget leak is closed.
05
No surprises before audit
Ministry of Health targets and ADSH indicators are tracked live; risks are flagged before the audit arrives.
06
HBIS doesn't change
An intelligent layer is added on top; integration is non-disruptive and existing workflows continue.
Modern, isolated,
scalable.
The data layer is accessible only from the institution's local network; transit uses HTTPS and storage is on AES-256-encrypted disks. Automated ETL normalizes HBIS, MMIS, social insurance and clinical data flows. The architecture is designed for on-premise or isolated cloud deployment.
GDPR
AES-256
HBIS / MMIS
Reimbursement
ICD-10
Ministry Indicators
ADSH-13 / 14
On-Premise / Cloud
01
Data stays in the institution
No external transfer. The database is reachable only from the local network; remote access goes through an SSH tunnel for administrators.
02
End-to-end encryption
All connections are HTTPS; storage is held on AES-256-encrypted disks.
03
HBIS is not replaced
Integration via XML/CSV export or direct database connection; a smart layer is added on top of the existing HBIS.
04
Auditable AI
MINA is a decision supporter; all actions remain with the operator. Every output is delivered with rationale and source.
The Team Behind Us
The team and
The team and
data architecture behind us.
At the heart of MINA Platform is our 17-person multidisciplinary team and the clinical-grade data infrastructure they have built. The success of an AI model cannot be separated from the data it is trained on — which is why at Opinion AI, the data team and data engineering are as central as the model team itself.
17
Technical, Operations
& Business Partners
& Business Partners
15
Physician
Advisory Board
Advisory Board
01
Data Architecture
Our data flow is built on a medallion architecture (Bronze–Silver–Gold). In the Bronze layer, raw data from hospital information systems, insurance pre-authorization records and clinical documents is collected; in the Silver layer it is cleaned, normalized and personal data is anonymized in compliance with KVKK; in the Gold layer, structured datasets ready for clinical analytics, billing compliance checks and digital twin models are produced.
For clinical literature and reference knowledge, we use a dual knowledge graph approach: PubMed articles and clinical guidelines are indexed in Amazon Neptune graph database, while the medical textbook corpus is indexed on MongoDB Atlas Vector Search. Routing between these two sources is managed dynamically by a PyTorch-based ML routing layer according to the clinical context.
02
Machine Learning Stack
The model layer is a three-tier architecture: parameter-efficient fine-tuning of an open-weight large language model with QLoRA, knowledge graph integration via GraphRAG, and specialty adapters for clinical branches. All training runs on H100 GPU infrastructure, and all data processing and inference are executed in a KVKK-compliant manner.
03
Our Team
This architecture is developed and maintained by a team of 17 people, ranging from AI researchers to data engineers, from clinical domain experts to quality assurance and regulation specialists. Every member of the team is an expert in their own field; our technical core — data scientists, ML engineers and senior AI specialists — has deep expertise in data warehouse design, model training, scalable infrastructure and clinical safety engineering.
04
Physician Advisory Board
Alongside the technical team, we have a 15-member physician advisory board that oversees the clinical accuracy, ethical boundaries and decision support outputs of the model. The board comprises leading expert physicians — stars in their fields with distinguished academic and clinical careers — across core specialties such as cardiology, oncology, internal medicine, radiology, emergency medicine, obstetrics & gynecology, pediatrics, neurology, orthopedics, pathology, anesthesiology, general surgery, urology, pulmonology and psychiatry. This board regularly reviews MINA's clinical knowledge base, case scenarios and decision support outputs, and signs off on model updates.
Writing on
insight & AI.
Technical deep dives, case studies and sector trends from our team.
A New-Generation AI Assistant for Doctors
A new era in clinical decision support: MINA's integration into physician workflows and real cases.
Read article (TR) →New Era in Detecting Fraudulent Health Insurance Claims
AI-driven pre-authorization audit: early detection of misdiagnosis, unnecessary tests and fraudulent claims.
Read article (TR) →Ready to
talk?
Demo, deployment or partnership — fill out the form and our team will get back to you. Your message goes directly to the Opinion AI team.
- Contact info@opinionmina.com
- Support destek@opinionmina.com
- Phone +90 (216) 553 55 15
-
Head Office
Salacak Mah. Öğdül Sok. No: 29b Suite: 6
Üsküdar / Istanbul / Türkiye -
Technopark
Ayazağa Mah. Kemerburgaz Cad. No: 7D Suite: 15
Sarıyer / Istanbul / Türkiye
AI-powered decision platform for healthcare. Better-informed decisions, better outcomes.