Healthcare products built into your clinical stack
We build patient apps, clinician tools, and connected-care platforms that integrate with EHRs, automate healthcare workflows with AI, and turn fragmented data into usable infrastructure.
- EHR / PMS integrations
- AI workflow automation
- Healthcare data
- HIPAA · GDPR · ISO 27001
- $100M
- annual revenue reached by BlackDoctor
- 10,000+
- store downloads for Amen Clinics
- 1,500
- pharmacies on Healthera's marketplace
- +77%
- patient adherence with CareHalo RPM
Trusted by healthcare teams in the US and Europe
More than the app layer
One engineering partner across the product, integration, workflow, and data layers.
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Build
Patient & clinician productsApps, portals, telehealth, and clinician tools people actually adopt. -
Connect
EHR, PMS, devices, labs, payersIntegrations that read and write back, across one or many systems. -
Automate
AI agents & healthcare workflowsAgents that complete intake, scheduling, and revenue-cycle work with controls. -
Unify
Healthcare data & analyticsNormalized, governed data that apps, reporting, and AI can rely on.
Software that has to work with the rest of the stack
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Patient experience
- Patient apps & portals
- Scheduling & digital front door
- Telehealth
- Care plans & engagement
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Clinical workflows
- Clinician tools
- Remote patient monitoring
- Documentation
- Care coordination
- Imaging & device workflows
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AI-enabled operations
- Patient access agents
- Referral & prior auth automation
- Revenue-cycle workflows
- Back-office agents
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Connected infrastructure
- EHR / PMS integrations
- Device & lab integrations
- Data platforms
- Analytics
Built for
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Healthcare providersMulti-site clinics, specialty groups, virtual care
Patients expect one digital experience while each site runs its own systems.
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HealthTech companiesSaaS, digital health, care platforms
Hospital customers ask for EHR integration, security reviews, and enterprise readiness.
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MedTechConnected devices, diagnostics, clinical software
Device data has to reach clinicians and records under MDR, FDA, and HL7 / DICOM rules.
Build the product. Automate the workflows around it.
AI agents read context from healthcare systems, complete controlled actions, verify outcomes, and escalate exceptions to your staff.
- Patient / staffRequest or task
- Healthcare appPortal, app, inbox
- AI agentReads context, acts
- EHR / PMS / RCMControlled actions
- Verify / escalateCheck, log, hand off
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Patient access
IntakeEligibility verificationSchedulingReferrals
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Clinical operations
Documentation follow-upPost-visit follow-upCare coordinationOperational routing
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Revenue cycle
Prior authorizationClaims preparationDenial triagePayer follow-up
Your app shouldn't become another disconnected system
The hard part of healthcare integration sits between the protocols: identity, mapping, write-back, and what happens when an API fails.
Patient-facing layer
AppPortalAI agentClinician tool
Riseapps integration layer
Identity matchingConsentFHIR · HL7 · DICOMTransformationNormalizationRoutingSync & retriesWrite-backFallback for legacy APIsMonitoringAudit trail
Clinical & operational systems
EHRPMSRCMLabsImagingCRMDevicesPayersLegacy / on-prem
Epic · athenahealth · eClinicalWorks · Oracle Health · NextGen · and specialty systems
One patient experience. Different systems underneath.
Build a shared digital layer across acquired clinics or locations without waiting for every site to migrate to the same system.
- Each site keeps its EHR or PMS
- One app, portal, and data layer for the group
- New sites connect through the same framework
Make the data usable before building more on top of it
Healthcare data pipelinesNormalizationPatient identity resolutionWarehouses & lakesCross-system analyticsPower BI & operational dashboardsMigration readinessAI-ready data infrastructure
Proof across all four capabilities
5xmore patients per clinician with AI-generated care plans
Dementia care program
Read the case
3 of 4denial types resolved end to end, automatically
Infusion therapy claims
Read the case
8 weeksto a branded patient app on top of the existing EHR, no migration
Multi-location practice
Read the case
70%faster hospital onboarding across 4 EU hospitals via a modular FHIR / HL7 layer
PIPRA · clinical AI
Read the case
31 minto deduplicate 34,860 patient records, about $130K saved vs manual work
Patient record deduplication
Read the case
+77%patient adherence with real-time remote monitoring data
CareHalo RPM
Read the case
−40%care-delivery cost with AI-driven virtual-first care
BlackDoctor
Read the case
1,500pharmacies on Healthera's UK telepharmacy marketplace, 40% higher retention
Healthera · UK
Read the case
From workflow to production
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1Map the workflow
Users, systems, handoffs, and the points where work breaks today.
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2Map the healthcare stack
EHR, PMS, vendor APIs, devices, and what data access is really possible.
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3Design the architecture
Integration, data, AI, permissions, and observability as one design.
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4Validate the riskiest assumption
A vendor API, a workflow, a model, or an interoperability path, proven early.
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5Build and deploy
Production release with monitoring, then iteration on real usage.
How we engage
Typical starting point: a technical discovery and implementation roadmap.
- New healthcare productProduct strategy, architecture, build, integration, and launch.
- Existing productAdd integrations, workflows, AI, or new patient and provider features.
- Complex healthcare environmentTechnical discovery, then architecture and phased implementation.
- Scale-up supportExtend your engineering team for enterprise healthcare deployments.
AI designed for controlled healthcare workflows
HIPAA compliance covers the data. AI governance covers what agents are allowed to do with it.
ISO 27001ISO 9001HIPAAGDPRPHI handling
- AccessAgents see only the data and systems their role allows.
- ActActions stay inside set autonomy boundaries.
- VerifyOutcomes are checked against the source system.
- EscalateExceptions and low-confidence cases go to a person.
- AuditEvery read, write, and decision is logged.
- MonitorAccuracy, drift, and failures are tracked in production.
Built inside real healthcare operations since 2016
- Healthcare-focused
- Since 2016
- Certifications
- ISO 27001 · 9001
- Delivery
- US + Europe
- Healthcare products delivered
- 40+
- Used by
- 100K+ physicians
- Reaching
- 1M+ patients
“After partnering with Riseapps, we booked 462 patients, allowing the company to accrue revenue. The quality of their code was commendable.”
Tara RaffiFounder, Almond ObGyn“Riseapps' work has received positive feedback from engineering team members and users. We've seen a reduction in bugs and timely delivery.”
Andrew BellinghamDirector of Product, Healthera
Watch the video testimonial from Rob Reuters (opens in a new tab)
Watch the video testimonial from Simon Liu (opens in a new tab)Questions teams ask before they start
Can you add integrations or AI to a product we already have?
Yes. Many engagements start with an existing app or platform: we add EHR or PMS integrations, AI workflows, or new patient and provider features without a rebuild.
Which EHRs and systems do you work with?
Epic, athenahealth, eClinicalWorks, Oracle Health, NextGen, and specialty and legacy systems, over FHIR, HL7v2, DICOM, vendor APIs, and file-based or on-prem interfaces where APIs fall short.
Our sites run different systems. Do we have to migrate first?
No. A shared integration layer lets you build one patient experience, one data layer, and shared AI workflows on top of different EHRs and PMS platforms, and migrate site by site only where it pays off.
How do you keep AI agents safe in clinical and revenue workflows?
Agents run with role-based access, defined autonomy limits, verification against the source system, human approval or escalation for exceptions, a full audit trail, and production monitoring.
How do you handle compliance and security?
Riseapps is ISO 27001 and ISO 9001 certified. We design for HIPAA and GDPR from the first sprint, including PHI handling, access control, consent, and audit logging.
How do engagements usually start?
With a technical discovery: we map the workflow, the systems involved, and the riskiest assumption, then agree on an implementation roadmap. You can start with a free 30-minute call with our CTO.
Let's map what needs to work together
Tell us what you're building, which systems it needs to connect to, and which workflows you're trying to improve. We'll help map the implementation path.
- Free 30-minute call with our CTO
- Architects who know EHR, PMS, and RCM systems
- NDA on request
See how we connect clinics and platforms that run different EHRs.
Map an integrationEmail biz@riseapps.biz