Healthcare AI development services
We built and deploy HIPAA-compliant healthcare AI solutions that range from assisting to fully automating your clinical workflows, improving care outcomes, and enhancing patient engagement. All by seamlessly integrating with your systems.
Trusted by 150+ industry leaders & Fortune 500s
Perspective Solutions
Explore AI solutions for healthcare workflows, operations, and patient care all designed to integrate with existing systems and support clinical and administrative teams.
Our healthcare AI experts will look at your goals and workflows. We can inform you on next step options rather than just provide a sales deck.
Who we serve
We serve healthcare organizations seeking greater control over their AI strategy and implementation. Solutions are designed around organizational requirements, existing technology environments, data, workflows, and governance priorities.
We connect clinical, operational, and patient-facing systems so care teams spend less time on admin and more time with patients.
Solutions we build for
We modernize member, claims, and provider workflows so plans cut administrative cost and keep members engaged.
Solutions we build for
We take you from idea to a compliant, investor-ready product, then scale it as your user base grows.
Solutions we build for
We build secure virtual care platforms that make it simple for patients to see a clinician from anywhere.
Solutions we build for
We digitize trials, field teams, and the supply chain so products reach patients faster and stay compliant.
Solutions we build for
We give field caregivers mobile tools for visits, documentation, and monitoring that keep agencies compliant.
Solutions we build for
We build private, easy-to-use platforms that widen access to therapy and keep clients engaged between sessions.
Solutions we build for
We streamline ordering, results, and imaging workflows so labs turn studies around faster with fewer errors.
Solutions we build for
We build tools that keep patients on their home programs and give therapists clear progress data.
Solutions we build for
Healthcare AI case studies
Outcomes our clients track in their own systems, not vanity metrics.
01 / 04
AI + Healthcare
AI-powered urinalysis testing
Challenge
Fragmented workflows, manual coordination, and limited visibility slowed NeuCup’s secure scaling into homes and clinics.
What we built
A connected diagnostic platform: patient testing, AI-assisted image analysis, provider reporting, nicotine screening, and clinical workflows.
Impact
44%
Faster test turnaround time
61%
Less administrative workload
Health Insurance + Digital Care
Platform modernization
Challenge
Legacy systems, manual onboarding, disconnected telehealth, and fragmented claims and rules slowed Tres Health’s growth.
What we built
A HIPAA-conscious, multi-role insurance platform that unifies onboarding, claims, billing, telehealth, and real-time data for every stakeholder.
Impact
33%
Higher telehealth engagement
41%
Faster claims resolution
HIPAA-Compliant Telehealth
AI-enabled virtual therapy
Challenge
Long wait times, manual intake, fragmented scheduling, and strict privacy requirements limited timely, secure access to mental health care.
What we built
A HIPAA-compliant telehealth app with secure video therapy, AI-assisted intake and triage, smart scheduling, encrypted messaging, and clinician dashboards.
Impact
45%
Broader patient reach
40%
Lower staff workload
Mental Health + Tele-Counseling
Personalized tele-counseling
Challenge
The client needed a personalized wellness experience that met strict privacy, counselor-matching, and real-time telehealth quality standards.
What we built
An end-to-end telehealth platform unifying mobile apps, counselor matching, real-time chat and video, secure wellness records, and payments.
Impact
47%
More relevant counselor matches
57%
Booking completion rate
Why AppsChopper
We understand clinical workflows, payer operations, and healthcare requirements.
We build with HIPAA-aligned architecture, BAAs, security controls, and documentation.
We implement AI with governance, human oversight, integration, and performance monitoring.
65+
Healthcare products delivered
24+
Healthcare projects
113+
Trained agents running in production
12+
Legacy modernization systems
Testimonials
AppsChopper brought testing, AI image analysis, and provider reporting into one platform. We now scale into homes and clinics with confidence.
AI-powered urinalysis testingOne HIPAA-conscious platform now runs our onboarding, claims, billing, and telehealth. Every stakeholder finally works from the same data.
Health insurance & digital careMyLifeWell brings wellness, travel, and shopping together in one app. AppsChopper built a platform our members enjoy every day, and it keeps up as we grow.
Wellness, travel & lifestyle platformMembers find the right counselor and book in a few taps, all on a platform they trust with their privacy.
AppsChopper integrated our imaging and lab systems with Epic via FHIR, cutting report turnaround 36% while staying HIPAA-compliant.
Imaging & lab interoperabilityAppsChopper's AI agents pre-screen trial eligibility automatically, cutting our enrollment timelines by 4 weeks.
AI clinical trial pre-screeningTheir CCM platform with connected devices and virtual visits boosted patient adherence 45% and unlocked CCM/RPM reimbursement for us.
Chronic care management & RPMAppsChopper's AIOps monitoring and secure GenAI assistant cut our platform downtime 61% while keeping sensitive data fully protected.
AIOps & secure GenAIHealthcare AI implementation process
Our four-stage process is designed to take a healthcare AI solution from initial use case to production in as little as six months, with a clear go/no-go decision at each stage.
Go/no-go gate · typical range shown for each stage
Rank use cases by ROI and feasibility, assess data readiness, and set the baseline metrics you’ll use to judge us.
Gate: Business case approved
Build on your real data in a controlled environment. Measure accuracy, clinician acceptance, and projected ROI.
Gate: Success criteria met
EHR and system integration, security review, validation, and phased rollout across sites or lines of business.
Gate: Go-live sign-off
MLOps monitoring, retraining, new use cases on the same data layer, and quarterly ROI reporting.
Scoped to models and usage
Cost, timelines, HIPAA, EHR integration, and model safety, answered.
Talk to a healthcare AI expertAI solutions that automate and assistance tools supporting clinical, administrative, and patient workflows, from documentation and coding to prior authorization, decision support, and patient access.
High-volume workflows like prior authorization, coding, denial prevention, and patient access can deliver measurable ROI quickly. We assess potential ROI against your baseline.
A low code prototype/mockup $300 – 1K. AI Opportunity Sprint costs $15K–$25K. A Proof of Value runs $40K–$90K, and a full production build typically ranges from $120K to $350K+, depending on integration depth, validation needs, and the number of workflows. Ongoing optimization is billed as a monthly retainer.
Most focused use cases move from discovery to production in 4–6 months: a 2–3 week sprint, a 6–8 week proof of value, and an 8–16 week production build. Enterprise programs roll out in phases so value arrives early.
We sign Business Associate Agreements (BAAs), maintain SOC 2 Type II and HITRUST i1 certifications, encrypt protected health information (PHI), enforce role-based access, maintain audit logs, and use secure model hosting options.
Yes. We integrate through Fast Healthcare Interoperability Resources (FHIR) R4 APIs, Health Level Seven (HL7) Version 2 interfaces, SMART on FHIR apps, and Clinical Decision Support (CDS) Hooks, so AI works within existing clinical workflows.
AI can determine authorization requirements, gather supporting clinical information, submit requests through digital channels, and track decisions. For payers, we can implement the required prior authorization application programming interfaces (APIs) to support the Centers for Medicare & Medicaid Services (CMS) requirements taking effect January 1, 2027.
Use an existing product when it meets your workflow and requirements. Build custom AI when workflows, data, or system integrations require a tailored approach. Many organizations use both, combining existing AI products with custom solutions to address specific needs.
Accessible healthcare, claims, or operational data with clear ownership is the primary requirement. Data does not need to be perfect. We assess data quality, gaps, and interoperability during the initial phase and can establish the required data layer as part of implementation.
We validate AI using historical data, clinician-reviewed evaluation sets, subgroup performance testing, and controlled pilots. After deployment, we continuously monitor accuracy, safety, and model performance for changes over time.
Talk to a healthcare AI expert
Book a free 30-minute call with our healthcare AI team. Tell us what you want to solve, and we’ll give you an honest view on whether it’s feasible, how you could approach it, and what it would take.
What you’ll get from the call:
An AI solution expert will review your priority and reply within one business day.
