Software development and AI pod teams for healthcare

Ryz staffs senior Latin American engineers and dedicated AI pod teams for health systems, payers, digital health companies and health tech vendors. Our teams build EHR integrations, FHIR APIs, patient and care team apps, revenue cycle systems and AI systems that handle documentation, prior authorization and patient access, working in your environment under your HIPAA controls. They work on US business hours, which matters when clinicians and operations teams need answers the same day.

What we build for healthcare teams

Healthcare software sits between clinicians, patients, payers and a dozen legacy systems, and much of it has to work during a busy clinic day. Our engineers build:

• EHR integrations. Epic, Oracle Health (Cerner), athenahealth and eClinicalWorks integrations through FHIR APIs, HL7 v2 interfaces and vendor app marketplaces.
• SMART on FHIR apps. Apps that launch inside the EHR with the patient and user context, for clinical decision support, care coordination and specialty workflows.
• Patient-facing apps. Scheduling, intake, messaging, remote monitoring and telehealth, built for accessibility and low-friction identity verification.
• Revenue cycle systems. Eligibility checks, claim submission and remittance processing, denial management and patient billing.
• Payer platforms. Member portals, utilization management and prior authorization workflows, provider directories and the CMS-required interoperability APIs.
• Clinical data platforms. Pipelines that normalize HL7, FHIR and claims data into a warehouse for quality measures, population health and analytics.
• Interface engine work. Building and maintaining routes in Rhapsody, Mirth Connect (NextGen Connect) or InterSystems HealthShare.

Where AI pods help in healthcare

The healthcare AI projects that reach production usually reduce administrative work and keep a clinician or specialist making the decision. An AI pod builds them in your cloud, with PHI staying in your environment:

• Prior authorization support. Assembling clinical evidence from the chart against payer criteria and drafting the request. The engineering challenge is mapping unstructured notes to specific criteria and showing the reviewer exactly which note supports each point.
• Clinical documentation assist. Drafting visit summaries, referral letters and patient instructions from notes or transcripts, with the clinician editing and signing.
• Coding and denial assistance. Suggesting ICD-10 and CPT codes with supporting text, and classifying denials by root cause so billing teams work the right queue.
• Patient access voice and chat agents. Scheduling, refills and FAQ calls, with clear handoff to staff for anything clinical. Our pods have built an AI voice platform with more than one million outbound calls. See AI voice agent development.
• Retrieval over policies and protocols. Answering staff questions from clinical protocols, payer policies and internal procedures, with citations. See RAG development.

Our production work is described on our case studies page.

Regulations and constraints our engineers work within

Our engineers have experience building within these requirements, working with your privacy, security and compliance officers. Ryz does not claim HIPAA compliance or HITRUST certification and does not certify your systems.

• HIPAA Privacy, Security and Breach Notification Rules. Minimum necessary access, audit controls, encryption and business associate agreements with any vendor that touches PHI, including LLM providers.
• HITRUST CSF. A certifiable control framework many health systems require of vendors, which shapes logging, access review and change management.
• 42 CFR Part 2. Stricter confidentiality for substance use disorder treatment records, recently revised to align more closely with HIPAA, with a February 2026 compliance date.
• 21st Century Cures Act information blocking and ONC certification. Rules on sharing electronic health information, and ONC's HTI-1 transparency requirements for decision support interventions in certified health IT.
• CMS Interoperability and Prior Authorization Final Rule (CMS-0057-F). Requires impacted payers to stand up FHIR-based APIs for prior authorization and data exchange, with most API requirements due in January 2027.
• FDA software as a medical device. Some clinical decision support and diagnostic software meets the device definition, which changes how it must be built, documented and cleared.
• State health privacy laws. Laws such as Washington's My Health My Data Act and California's CMIA, which reach data HIPAA does not.

Integrations and data

• FHIR R4 and US Core, SMART on FHIR and CDS Hooks, and bulk FHIR exports.
• HL7 v2 messages (ADT, ORM, ORU, SIU) and C-CDA documents.
• X12 EDI transactions: 270/271 eligibility, 837 claims, 835 remittance and 278 prior authorization, through clearinghouses such as Availity.
• DICOM imaging and PACS integrations, and NCPDP for pharmacy.
• Terminologies including ICD-10, CPT, SNOMED CT, LOINC and RxNorm.

Integration work is where healthcare projects slip. An EHR's FHIR API may not expose a field your workflow needs, HL7 v2 feeds vary by site even on the same vendor, and 835 remittances rarely map one-to-one to the claims you sent. Our engineers plan for site-by-site variation, build interface monitoring that alerts before a clinic notices missing results, and keep synthetic patients and test data so development continues without touching PHI.

How teams engage Ryz

Staff augmentation fits when you have a product or IT roadmap and need senior engineers on it: an integration engineer with Epic and FHIR experience, a mobile developer for the patient app, a data engineer for quality reporting. They work on your team and under your leads. Our healthcare software developers page covers individual roles.

An AI pod fits when you want prior authorization support, documentation assist or a patient access agent built and in production. A pod is often around seven senior engineers including a tech lead, ML engineer and backend engineers. A dedicated development team fits a scoped build like a new payer API layer.

Mid-level engineers run $7,000 to $10,000 per month, senior engineers $10,000 to $15,000 and leads $15,000 and up. Three senior engineers for six months at $12,000 is $216,000. You get a plan, a price and the names of the people first.

When Ryz isn't the right fit

• You need a vendor that hosts PHI in its own certified environment, or a licensed EHR or clinical software package. Ryz teams build in your environment; we do not sell software.
• You need clinical informatics strategy or a health system transformation program. A healthcare consultancy fits that better.
• You need on-site staff at a hospital, or coverage in European or Asian time zones.

Related

• Life sciences software development
• Insurance software development
• AI agent development
• Partners to take an AI pilot to production
• Forward-deployed engineers

FAQ

Can your engineers work with PHI?

Yes, under your controls. Engineers work in your environment, with your identity provider, VDI or managed devices, audit logging and access approvals, and your privacy team decides what PHI they can reach. Many teams use de-identified or synthetic data outside production. There is no official HIPAA certification, Ryz does not claim HITRUST certification, and your counsel decides which agreements apply.

Do your engineers have Epic and FHIR experience?

Our engineers have built integrations with Epic, Oracle Health and other EHRs using FHIR R4, SMART on FHIR and HL7 v2, and have worked through vendor app review processes.

How does an AI pod keep PHI out of public models?

The pod deploys models in your cloud or through providers covered by a business associate agreement, such as Azure OpenAI or Amazon Bedrock, keeps prompts and outputs in your logging, and redacts identifiers where the use case allows.

What does a healthcare engineering team cost?

Typical rates are $7,000 to $15,000 per engineer per month by seniority, with leads at $15,000 and up. Project cost is team size times duration times rate, quoted per team.

Can a pod help a payer meet the CMS prior authorization API rule?

Yes. A pod or dedicated team can build the FHIR-based APIs, map your utilization management data to the required profiles and integrate with your existing systems. Your compliance team confirms the interpretation of the rule.

Questions we didn't answer? Email info@ryzlabs.com.