In healthcare, compliance isn't a phase.
It's the architecture.
Every other sector can defer the access model and retrofit it later. Here, data residency, audit logging, and who can see what decide the design on day one — and a system that ignores that has to be rebuilt rather than corrected. We start with those constraints, then build inside them.
The IT partner for health systems modernizing around the EHR
Healthcare IT rarely fails on technology. It fails on an EHR that cannot be replaced and will not bend, integrations held together by an interface engine one person understands, margins that make every project compete with clinical hiring, and a compliance obligation attached to every system touching a record.
OpenTeQ works inside those constraints. We build and support the integration layer around the EHR using HL7 and FHIR, modernize revenue cycle and access workflows, and run the estate under an SLA built on clinical hours. AI handles referral intake, prior authorization, and ambient documentation, while a clinician approves anything that could affect care.
The work that moves health organizations forward.
Consulting and platform work at the top, operations beneath it, security and modernization holding it together. AI has its own section below.
Healthcare IT Consulting
A roadmap your board and your clinicians both accept.
Estate assessment, application rationalization, vendor selection, and the sequencing decisions that determine whether a multi-year programme lands. We will also tell you which initiatives to cut — usually the ones with no named clinical owner.
Application Development
The systems no vendor sells you.
Custom clinical and administrative applications, portals, and integration services — built to be maintained by someone other than the person who wrote them.
EHR Integration & Optimization
Working with the EHR you have.
Epic, Cerner, and Meditech integration, workflow configuration, and the surrounding applications clinicians actually spend their day in.
Revenue Cycle Automation
Fewer denials, faster.
Eligibility checks, prior authorization packets, coding support, and denial management — automation aimed at the steps that actually delay payment.
Managed Services
Someone awake when the ward calls.
24/7 monitoring, application support, and incident response under an SLA, with escalation paths designed around clinical priority rather than ticket age.
IT Infrastructure Services
The estate underneath everything else.
Network, endpoint, and data centre operations across hospital campuses and clinics — including the on-premise systems that are not moving to cloud any time soon.
HIPAA Compliance & Audit Readiness
Evidence produced as you go.
Risk assessments, access governance, audit logging, and third-party risk — with documentation accumulating during delivery rather than the month before an assessment.
Cybersecurity Services
The sector attackers target most.
Identity and access management, threat monitoring, incident response, and medical device security — for an estate where downtime is a patient safety event, not an outage.
Legacy Modernization
The system nobody will touch.
Incremental modernization of clinical and administrative systems that cannot go offline, with characterization tests before anything is rewritten.
Where AI earns its place in a health system.
Not everywhere. AI is worth deploying where the work is high-volume, document-heavy, or predictable — and worth resisting where a wrong answer reaches a patient. These five are where we have seen it hold up.
AI Document Intelligence
The fax machine problem, finally solved.
Extraction and classification across referrals, faxes, prior authorization packets, and scanned records — including the handwritten and badly scanned ones that defeat rules-based tools.
Ambient Clinical Documentation
Give clinicians their evenings back.
Ambient capture and note drafting inside the documentation workflow, integrated with the record rather than bolted alongside it. The clinician reviews and signs — always.
Conversational AI for Patient Access
Resolution, not deflection.
Chat and voice agents handling scheduling, results questions, and billing enquiries end to end, with clean handoff to a human the moment the conversation needs one.
Predictive Analytics & Capacity Models
See the bottleneck before it forms.
Forecasting for census, staffing, no-shows, and readmission risk — the classical models that are cheaper to run and far easier to defend than a language model.
AI Governance & Evaluation
Answerable when the committee asks.
Model inventories, bias and accuracy testing, drift monitoring, and the audit trail your clinical governance committee will want before anything reaches a patient-facing workflow.
Categories
Five categories, five different businesses.
A hospital network, a health plan, and a digital health company share a regulatory regime and almost nothing else. Select yours.
Hospitals & Health Systems
Thin operating margins, an EHR that dictates the roadmap, and clinicians who will abandon any tool that adds clicks. Adoption is the constraint here, far more than technology.
Ready to put AI into the queue that keeps growing?
The two things that most often stall healthcare technology work. Tell us which one you are facing and what has already been tried — we will tell you what we would do first.
Accredited on the platforms health systems already run
Healthcare estates are built around an EHR and a decade of integrations layered on top. We hold standing practices with the cloud and platform providers your systems already depend on, so integration, security, and AI deployment start from an accredited foundation rather than a discovery exercise.
