Find the patients your hospital is losing to undetected complications
DiaRisk surfaces diabetes patients with developing complications that have not been caught yet, turning your existing patient data into new specialist referrals, consultations, and procedure revenue.
Total DM Patients
4,590
High Priority
1,265
Referral Candidates
892
Care Gaps
1,830
Risk Distribution
Consultation Demand
Critical Patients - Top Priority
Illustrative interface with synthetic data. Risk indicators support institutional review, not autonomous clinical decisions.
Total DM Patients
4,590
High Priority
1,265
Referral Candidates
892
Care Gaps
1,830
Risk Distribution
Consultation Demand
Critical Patients - Top Priority
Illustrative interface with synthetic data. Risk indicators support institutional review, not autonomous clinical decisions.
The Problem
Diabetes complications hide in plain sight
~70%
of people with diabetic retinopathy may be unaware of their diagnosis
JAMA, 2021
>90%
of diabetic CKD cases were undiagnosed in a Turkish diabetes cohort
DIAKIT, Türkiye
1 in 3
adults with T2D may have undetected cardiovascular disease
AHA/JAHA, 2023
>60%
of neuropathy cases in T2D may remain previously undiagnosed
PROTECT, Germany
These signals are already in hospital data. They just need a systematic way to surface.
What DiaRisk Delivers
Turn hidden complications into institutional revenue
DiaRisk transforms your existing patient data into a steady stream of new specialist referrals, consultations, and procedures.
Undetected Complication Discovery
Surface patients with developing complications that have not been caught yet, each one a new referral and revenue opportunity across 5 specialist domains.
New Patient Acquisition
Identify patients who need specialist care but are not currently being seen, driving new consultations and expanding departmental patient volumes.
Multi-Department Referral Generation
Automatically suggest referrals across nephrology, ophthalmology, cardiology, endocrinology, and neurology, multiplying revenue per patient.
Procedure & Consultation Revenue
Each surfaced patient generates downstream clinical activity: consultations, diagnostic procedures, treatments, and ongoing follow-ups.
The Opportunity
Undetected complications are missed revenue hiding in your existing patient data
Every undiagnosed complication is a patient who needs specialist care but is not getting it. A new referral, consultation, and procedure opportunity your institution is currently losing.
~892
referral candidates surfaced per 5,000 DM patients, each a potential new consultation
5
specialist departments triggered per high-risk patient (nephrology, ophthalmology, cardiology, endocrinology, neurology)
74.6%
of high-risk patients confirmed to develop complications, validating early intervention value
3.2x
more downstream procedures generated per referred patient vs. routine follow-up
How We Find Them
Care gaps signal undetected complications
Missing tests and prescriptions are not just compliance issues. They are indicators of patients with developing conditions that have not been referred to the right specialist yet.
Priority Scoring
One score tells you which patients to act on first
The DM Action Score combines three dimensions into a single 0 to 100 priority score. Higher score means greater urgency and greater opportunity from unaddressed clinical needs.
Complication Risk
Identifies patients developing complications that have not been caught yet, each one a new referral and revenue opportunity.
Disease Burden
Quantifies how much clinical attention a patient needs. Higher burden means more consultations, procedures, and follow-ups.
Care Gap Severity
Flags missing tests and prescriptions that signal undetected conditions. Closing each gap generates billable clinical activity.
DM Action Score
A single 0 to 100 score per patient. Higher scores indicate greater urgency for clinical review and greater opportunity from new referrals, consultations, and procedures.
Workflow Transformation
From reactive and manual to proactive and intelligent
See how DiaRisk transforms diabetes care management at the organizational level.
Before DiaRisk
Manual chart review: 15 to 20 min per patient
Scattered data across multiple systems
Reactive referrals, often months too late
No systematic care gap detection
Subjective risk assessment
Paper-based or fragmented workflows
With DiaRisk
Automated assessment: <50ms per patient
Unified data integration (CSV / XLSX / HBYS)
Proactive referral generation, new patients for specialist departments
Undetected complications surfaced before they become emergencies
Priority scoring drives consultation and procedure volume
Structured dashboard for clinical and administrative review
Impact for 5,000 DM Patients
1,458 hrs
Manual Review
4.2 min
DiaRisk Automated
~892 new referral candidates
Revenue Scenarios
Where DiaRisk generates new institutional revenue
Real-world scenarios where surfacing hidden complications translates directly into new consultations and procedures.
892
The Hidden Referral
Patients with undetected complications are surfaced as referral candidates, each one a new consultation your institution would otherwise miss.
86%
The Silent Kidney Decline
Declining eGFR trends detected early, nephrology referral generated before the patient ends up in emergency dialysis.
40+
The Overwhelmed Clinician
When clinicians see 40+ patients daily, DiaRisk surfaces the ones that need specialist attention now. No more guesswork.
5
Multi-Department Revenue
Each high-risk patient triggers referral suggestions across up to 5 specialist departments, multiplying consultation and procedure opportunities.
How It Works
From patient data to care pathway intelligence
A streamlined 4-step pipeline designed for seamless health system integration.
Patient Data Intake
Patient profiles, clinical records, lab results, and medication history are ingested from existing institutional databases via adaptive connectors.
Feature Extraction
Hundreds of clinical signals are automatically extracted from patient demographics, laboratory values, medications, and comorbidities in milliseconds.
Risk Scoring
Five independent prediction models assess complication risk across nephropathy, retinopathy, neuropathy, cardiovascular, and metabolic domains.
Care Pathway Intelligence
Structured DM Action Score, care gap reports, and department-level consultation suggestions support institutional review and resource planning.
Proven Accuracy
Validated on 32,000 real diabetes patients
Trained on 365,000 clinical episodes spanning 2009 to 2026. When DiaRisk says a patient is high-risk, it is right.
8/10
Patients Identified
Before complications advance
<50ms
Per-Patient Analysis
Real-time scoring
32,000
Patients Validated
Clinical dataset
5
Complication Domains
Covered simultaneously
Detection Accuracy by Complication
How many at-risk patients DiaRisk correctly identifies
Each correctly identified patient represents a referral opportunity that would otherwise be missed until complications become acute and costly.
Risk Predictions Match Reality
Actual complication rates by DiaRisk risk category
When DiaRisk flags a patient as "Critical," there is an 87.6% chance they will develop a complication. That is an institutional revenue opportunity you can act on today.
In Practice
Cases a busy clinician would miss, but DiaRisk catches
Three synthetic scenarios where individual lab values look routine but multi-signal analysis reveals hidden complication risk and referral opportunities.
The Invisible Cardio Risk
51 / Male - 6-year Type 2 DM, appears well-controlled
Key Indicators
HbA1c 7.1% · eGFR 78 · Microalbumin borderline · No statin
2
Care Gaps
1
Referrals
Complete
Data
Referrals: Cardiology
Labs pass a routine checkup. But 6 variables combined predict macrovascular complication development that no single metric reveals.
The Fast Kidney Decline
63 / Female - 9-year Type 2 DM, in follow-up
Key Indicators
eGFR 61 (was 81 eighteen months ago) · HbA1c 8.4% · No ACE/ARB
3
Care Gaps
1
Referrals
Complete
Data
Referrals: Nephrology (urgent)
A single eGFR of 61 does not alarm anyone. But an 18-month trend from 81 to 61 means this patient is heading toward dialysis within 2 years.
The Missed Retinopathy
58 / Male - 14-year Type 2 DM, polyclinic follow-up
Key Indicators
HbA1c 8.9% · eGFR 72 · Neuropathy noted · No retinal exam ever
3
Care Gaps
2
Referrals
Complete
Data
Referrals: Ophthalmology, Neurology
14 years of diabetes, poor metabolic control, existing neuropathy, and zero retinal screening on record. The probability model already flags high retinopathy risk.
Population Impact Estimate - 5,000 DM Patients
~240
Critical (4.8%)
~1,135
High Risk (22.7%)
~2,265
Medium (45.3%)
~1,355
Low (27.1%)
Data Sovereignty & Compliance
Your data stays yours, always
DiaRisk is designed from the ground up for institutions that require absolute control over patient data. No cloud, no external transfers, full interoperability.
100% On-Premises
DiaRisk runs entirely within your organization's own infrastructure. No external servers, no cloud processing, no third-party dependencies. Full institutional control over deployment, updates, and data lifecycle.
Zero Data Egress
Patient data never leaves your network perimeter. All ML inference, risk scoring, care gap analysis, and report generation happen locally. No outbound data transfers. Complete data sovereignty guaranteed.
FHIR & HL7 v2 Compliant
Native support for FHIR resources and HL7 v2 messaging standards. Seamless integration with existing HIS/EMR systems without custom adapters or middleware. Plug into your clinical data infrastructure as-is.
Institutional-grade isolation:DiaRisk is architected so that no patient data, model inputs, or inference results are ever transmitted outside the deploying institution's network boundary. Fully compliant with KVKK, GDPR, and HIPAA data residency requirements.
Integration
Deploys into your existing infrastructure in days, not months
No data migration, no cloud dependency, no disruption to clinical workflows.
Data Ingestion
Connects to your existing hospital information system. No data migration needed.
Patient Analysis
Automatically extracts clinical signals from demographics, labs, medications, and history.
Risk Scoring
Scores each patient across 5 complication domains and produces a single priority score.
Referral Intelligence
Generates department-specific referral suggestions with urgency classification.
Actionable Output
Dashboard, PDF reports, and system integration, ready for clinical and administrative review.
Data Ingestion
Connects to your existing hospital information system. No data migration needed.
Patient Analysis
Automatically extracts clinical signals from demographics, labs, medications, and history.
Risk Scoring
Scores each patient across 5 complication domains and produces a single priority score.
Referral Intelligence
Generates department-specific referral suggestions with urgency classification.
Actionable Output
Dashboard, PDF reports, and system integration, ready for clinical and administrative review.
100% On-Premises
Runs entirely within your infrastructure. No cloud, no external dependencies.
Zero Data Egress
Patient data never leaves your network. Full data sovereignty guaranteed.
FHIR & HL7 v2
Plugs into your existing HIS/EMR without custom adapters or middleware.
Supports HBYS direct connections, CSV/XLSX batch uploads, and REST API access. KVKK, GDPR, and HIPAA compliant.
Part of AId Core Solutions
Built from the same core intelligence layer
DiaRisk shares the same foundational approach as RetinEye AId: synthesizing patient-level health data into structured, actionable intelligence for institutional workflows. Together, they cover both ophthalmology-specific screening and broader diabetes complication management.
See how many hidden referrals are in your patient data
Every undetected complication is revenue your institution is currently losing. Let's find it.