Healthcare
That's a process problem, not just a technology problem. We work with clinical and operations teams to understand how care delivery, coordination, and patient engagement actually need to flow — then build AI-accelerated software around that reality.
The Problem
Patient data in the EHR, labs in another system, imaging in a third, billing somewhere else — 47% of clinicians can't even access records from outside their own organization. The process your care teams need is simple: the right patient data, at the right moment, regardless of which system it lives in.
HIPAA, Cures Act, information blocking rules — compliance eats your IT budget alive when it's tracked manually across disconnected systems. The underlying process should make compliance a byproduct of how you operate, not a separate burden layered on top.
Patients expect digital self-service — scheduling, intake, results, messaging — at the level their bank or airline delivers. Modern patient engagement flows from the same data layer your clinical team uses — connected, real-time, and designed around the patient journey.
BEFORE
GLIDE PATH
AFTER
GLIDE PATH TIMELINE
...stop fighting your EHR and start building what fits around it.
What We Do
Slingr embeds with your clinical and operations teams to map the processes that drive care delivery, coordination, and patient engagement — then builds AI-accelerated software around them.
Custom tools that automate referral management, care coordination, and clinical documentation — built into the clinical workflow where the work actually happens, not bolted on as a separate layer.
Modern patient portals, digital intake, automated appointment reminders, and secure messaging — designed around the patient journey and fully integrated with your EHR.
Automated audit trails, consent management, and compliance reporting built into every workflow — so HIPAA compliance becomes a byproduct of how you operate, not a separate process.
Connect your EHR, billing, scheduling, lab, and imaging systems into a unified data layer. HL7, FHIR, and custom API integrations so the right data reaches the right clinician at the right moment.
The Value
How It Works
AI parses every conversation, document, and data source exchanged during kickoff to generate a structured scope and development roadmap — cutting weeks of back-and-forth into days.
We translate the roadmap into architecture and specs using AI to model workflows, identify integration points, and surface edge cases before a single line of code is written.
Our engineering pods use AI-assisted development to ship production-ready software in two-week cycles — writing, testing, and reviewing code at a pace traditional teams can't match.
After launch, AI monitors usage patterns, flags issues, and recommends optimizations. Your dedicated team stays on to iterate and scale based on real data, not guesswork.
Book a 15-minute strategy call. We'll map the process gaps between your clinical, operational, and patient-facing systems — and show you how AI-accelerated software can reduce administrative burden and improve care delivery.
Book a strategy call