Practices & health systems
Neurology groups modernizing the data analytics workflow.
Data Analytics for Neurology
Data Analytics for Neurology
We build data analytics for neurology — pairing the engineering of a purpose-built data analytics with the real workflows, codes, and devices of neurology care, all handled to HIPAA standards.
HIPAA-ReadyFHIR R4InteroperablePHI-Safe
Trusted by global innovators
What data analytics for neurology involves
Neurology care has specific needs — Neurology software spans signal data (EEG/EMG), episodic event tracking (seizures, movement symptoms), imaging, and teleneurology for stroke and access — each with its own data shape. A data analytics built for it has to serve those needs directly rather than repurpose a generic product.
Building data analytics for neurology means solving turning the specialty's clinical and operational data into decisions, not just dashboards, tuned to the codes and workflows that matter here (EEG (95816/95819) & EMG procedure coding, Neuroimaging (MRI/CT) integration, FHIR R4 Observation & DiagnosticReport), with PHI handled to HIPAA standards from the first commit.
What we build into Neurology Data Analytics
The data analytics engineering, tuned to neurology.
Specialty data warehouse
Specialty data warehouse, built for the neurology use case.
Quality and outcome dashboards
Quality and outcome dashboards, tuned to neurology workflows.
Population and operational analytics
Population and operational analytics for a connected, useful data analytics.
Neurology codes & workflow
Built around the codes and workflow that matter in neurology: EEG (95816/95819) & EMG procedure coding, Neuroimaging (MRI/CT) integration, FHIR R4 Observation & DiagnosticReport.
Privacy-first by design
PHI protected with encryption, access controls, and audit logging under a BAA.
Built to integrate
We engineer for turning the specialty's clinical and operational data into decisions, not just dashboards, connected to the systems neurology care already uses.
Where it fits
Who builds data analytics for neurology
Teams bringing better neurology products and workflows to market.
Digital health startups
Neurology-focused data analytics products.
MedTech & device makers
Neurology data analytics tied to devices and data.
Payers & programs
Neurology data analytics as a benefit or program.
Built for neurology, engineered to last
Data Analytics for neurology earns its place by fitting the workflow, not the other way round.
Event-aware
Episodic neuro data turned into patterns
Interoperable
FHIR R4, HL7 v2, and SMART on FHIR by default
MVP-ready
Core data analytics workflow for neurology, shipped then scaled
Compliance-First Healthcare App Development Services Backed by Global Standards
15-Minute Scoping Call01
HIPAA
Health Insurance Portability and Accountability Act
Protect PHI with privacy-first architecture, encrypted storage and transmission, strict access controls, and traceable audit logs.
02
GDPR
General Data Protection Regulation
Implement lawful consent flows, data minimization, retention controls, and secure processing for sensitive health data.
03
FHIR
Fast Healthcare Interoperability Resources
Enable standardized health data exchange across apps, care teams, and systems through robust FHIR-ready APIs.
04
HL7
Health Level Seven International
Support enterprise-grade interoperability with HL7-based integrations for records, events, and clinical messaging workflows.
05
HITRUST
Health Information Trust Alliance
Align security programs to healthcare-specific control and risk management practices trusted by providers and ecosystem partners.
06
HITECH
Health Information Technology for Economic and Clinical Health Act
Design with breach notification readiness, digital record safeguards, and operational controls that support regulated care programs.
07
SaMD
FDA Software as a Medical Device
Plan software quality, traceability, and documentation pathways for products that may require SaMD review and submission.
08
MDR (EU)
Medical Device Regulation (European Union)
Prepare EU market-ready processes for risk classification, evidence tracking, and lifecycle governance under MDR expectations.
09
SAMHSA
Substance Abuse and Mental Health Services Administration
Apply confidentiality controls and consent-aware sharing models for behavioral and mental health data experiences.
Why neurology needs a purpose-built data analytics
Neurology codes, standards & devices
CPT 95816DICOMFHIR
Our Process
How we build data analytics for neurology
We prove the core workflow with real users before scaling — clinical fit and adoption decide the outcome.
1.
Discovery & Clinical Design
We map the neurology workflow and the core data analytics job to be done.
Workflow-shaped
2.
Core Build
We build the data analytics substance with interoperability and PHI handling engineered in.
Compliant
3.
Integrations
EHR, device, and standards integration so it connects to the systems already in use.
Connected
4.
Launch & Iterate
A measured launch tracking adoption and outcomes, then iteration.
Adoption-tuned
Frequently Asked Questions
It is built around neurology — Neurology software spans signal data (EEG/EMG), episodic event tracking (seizures, movement symptoms), imaging, and teleneurology for stroke and access — each with its own data shape — and its codes and workflows (EEG (95816/95819) & EMG procedure coding, Neuroimaging (MRI/CT) integration, FHIR R4 Observation & DiagnosticReport), rather than a one-size-fits-all product. That fit is where the clinical value and the engineering live.
Ready to build data analytics for neurology?
Tell us your neurology workflow and goals. We'll return a plan for data analytics that's clinically credible, interoperable, and built to ship.
contact@agnotic.com
Partnerships
contact@agnotic.com