Custom Healthcare Software Development Services
DBB Software provides healthcare and biotech software development, from HIPAA-compliant telemedicine apps to EHR systems with HL7 and FHIR integration. The AI we build takes work off clinical staff, from clinical documentation to voice intake that turns a patient call into a complete care request.
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Healthcare Solutions We Build
Scope Your Healthcare Build With HIPAA in the Plan
Describe your patients, clinicians, and the EHR or systems it connects to.
Scope My Healthcare Build
AI Capabilities for Healthcare & Biotech
AI-Powered Diagnostics & Medical Imaging
Analyze X-rays, MRIs, and pathology slides using convolutional neural networks and computer vision to flag anomalies and accelerate radiologist workflows.
NLP For Clinical Documentation
Extract structured data from physician notes, automate ICD-10 and CPT coding, and generate visit summaries from dictation, reducing documentation time by hours.
Predictive Analytics For Patient Outcomes
Forecast readmission risk, disease progression, and treatment response using patient history, vitals, and lab data, surfacing alerts before conditions worsen.
Drug Discovery & Molecular Modeling
Accelerate compound screening, predict drug-target interactions, and optimize clinical trial candidate selection with custom-trained machine learning models.
AI-Driven Clinical Decision Support
Surface evidence-based treatment options, drug interaction alerts, and care pathway recommendations at the point of care, integrated into your clinical workflow.
Personalized Treatment Recommendations
Combine genomic data, lifestyle factors, and clinical history to generate therapy plans that adapt automatically as new patient data becomes available.
Our Healthcare App Development Services
Healthcare & Biotech Projects We've Delivered
Delivering a Modern Self-Scheduling Platform for At-Home Care
Challenge:
DispatchHealth needed a digital self-scheduling and onboarding platform that would allow patients and caregivers to request urgent medical care without relying on call-center operators.
Solution:
Designed end-to-end digital scheduling flows that collect patient demographics, medical information, and insurance details with high accuracy.
Built address verification, service-area eligibility, and preferred time-window selection into a seamless onboarding experience.
Integrated all collected data directly into the backend to support triage, dispatch, and operational workflows.
Provided ongoing engineering support to evolve the platform with new scheduling, insurance, and clinical features.
Result:
Enabled a shift from phone-based scheduling to digital self-service, reducing call-center load while improving data completeness, patient satisfaction, and operational efficiency.
Building the Care-Request API Behind an AI Voice Intake Agent
Challenge:
An at-home urgent care provider moved to a voice-AI intake agent and needed the care-request layer beneath it to serve a new vendor without a rebuild.
Solution:
Built one endpoint per step of the call, from demographics through scheduling.
Served risk protocols from complaint keywords while the call was still open.
Gated the API with Auth0 credentials and an allowlist of the caller's addresses.
Kept the intake layer vendor-agnostic, so a second IVR vendor plugged into the same API.
Result:
Patients are empowered to create a visit without a dispatcher, a second vendor onboarded onto the same contract, completed in six weeks with two back-end engineers.
Implementing a Location-Aware Patient Landing Experience with Brightspot CMS
Challenge:
DispatchHealth needed a flexible, CMS-driven patient landing site that could serve as the primary entry point for care requests.
Solution:
Implemented Brightspot CMS as the foundation for the patient landing experience.
Built a custom Brightspot widget to integrate CMS-managed content with real-time platform logic.
Enabled location-aware content and service availability without custom frontend deployments.
Ensured workflow-accurate routing based on patient and requester context.
Result:
Delivered a unified, CMS-driven entry point that adapts by location, routes patients into the correct care flows, and empowers internal teams to manage content independently.
Automating End-to-End Delivery and Quality Workflows in a Healthcare Platform
Challenge:
DispatchHealth needed to reduce manual operational work, improve software quality, and safely increase release frequency across patient-facing and internal systems.
Solution:
Implemented fully automated continuous deployment pipelines to replace manual weekly releases.
Introduced end-to-end test automation with Cypress to validate complete user workflows.
Improved logging and observability to detect issues earlier and simplify production debugging.
Streamlined engineering operations to support sustainable on-call rotations..
Result:
Enabled daily automated deployments, reduced critical production incidents, and improved platform reliability.
Standardizing Serverless Front-End Delivery for Healthcare Platform
Challenge:
DispatchHealth needed a consistent, secure, and scalable way to deliver front-end applications across its growing digital ecosystem.
Solution:
Designed a standardized serverless front-end delivery pattern using CloudFront, S3, and AWS Lambda.
Centralized edge-level security controls, including CSP enforcement and request handling.
Enabled global content delivery through CloudFront caching for high performance and reliability.
Rolled out the shared infrastructure model across multiple production applications.
Result:
Established a reusable, security-first front-end delivery standard adopted across applications, improving maintainability, global performance, and operational efficiency with no added hosting or deployment costs.
Modernizing a Healthcare Platform by Migrating a Monolith to Microservices
Challenge:
DispatchHealth needed to break down its growing Ruby on Rails monolith, which powered mission-critical patient onboarding, insurance logic, and clinical workflows.
Solution:
Designed a long-term migration roadmap and identified high-load features to extract first.
Developed 17 Golang microservices covering patient data, insurance payers, risk stratification, partner-specific rules, and operational logic.
Introduced gRPC for fast, reliable service-to-service communication across clinical workflows.
Implemented a dedicated authorization service and improved system maintainability through clearer service ownership.
Result:
Significantly reduced dependency on the monolith, improved performance across key patient flows, enabled faster inter-service communication, and increased long-term scalability and maintainability for mission-critical healthcare operations.
Creating a Cross-Platform App for Biometric Data Collection
Challenge:
A Canadian smart textile company required a cross-platform app to complement its smart attires that collect users’ body data and analyze it.
Solution:
Developed a cross-platform app to support smart garments.
Added seamless BLE connectivity between the app and garments.
Implemented complex health indicators analysis.
Developed an algorithm for processing and structuring data into insights.
Result:
Created a feature-rich cross-platform app that analyzes health data gathered by smart garments and provides users with useful insights.
Designing a Free AI Reputation Report
Challenge:
Clinicians could not see their own online presence, and the platform had nothing to offer a prospect before a sales conversation started.
Solution:
Reads what AI assistants say about a doctor, not only where they rank
Scores five separate dimensions, then ranks what to fix first
Proceeds on public data alone when the identity match is unclear
Caps what each free report may spend on outside services
Result:
5 scored dimensions, 3 degradation paths with defined behavior, and a spend ceiling on every free report.
Designing an AI Receptionist With Emergency Escalation
Challenge:
A private practice closes at six and the phone keeps ringing. Every unanswered call is a patient handed to whoever picks up first.
Solution:
Specified emergency escalation as a release gate that has to clear a clinician-signed test set
Scoped a bought voice engine and a built platform integration, in that order
Designed a completed call to land as an appointment request in the dashboard staff already use
Specified a route to a human or voicemail behind every failure
Result:
0 dead ends, 1 clinical sign-off gate, 3 defined call outcomes.
AI Bio Writer Grounded in Confirmed Facts
Challenge:
Most clinicians leave their profile bio blank, and the writing was landing on the platform's own team instead.
Solution:
Specified grounding in facts the clinician confirms first, with a missing field halting generation
Specified sanitization of open-web research before it reaches the model
Removed every path that publishes without the clinician doing it
Specified what happens when the research, the model or the flow itself fails
Result:
0 automatic publishing paths, 4-question intake, 1 adoption bar.
Designing an MCP Server for AI Assistant Discovery
Challenge:
A global healthcare review platform needed AI assistants to query its verified specialist directory, without handing over the review corpus.
Solution:
Specified a stateless read service on the platform's existing read layer, with no new datastore
Specified nine read-only tools as a contract, with no language model inside the server
Fixed the data-exposure line in code, enforced by property-tested response mappers
Specified an internal-first rollout behind a named security gate with five signed exit criteria
Result:
One AI layer for every product, layered security before public exposure, the review corpus as an owned asset.
Implementing Enterprise SSO Integration for a Healthcare Platform
Challenge:
A healthcare platform needed to implement enterprise-grade single sign-on to meet a major client's security requirements and enable seamless user authentication.
Solution:
Implemented SAML 2.0 authentication with OneLogin integration.
Built Just-In-Time Provisioning for automatic user account creation.
Developed security-first session management to prevent hijacking.
Created environment-agnostic testing tools for QA without live data.
Result:
Delivered in under 1 month, multi-tenant architecture enabling new SSO clients in hours, and enterprise security compliance.
Developing Mobile Apps for Patients and Healthcare Providers
Challenge:
A healthcare review platform needed mobile apps to make it easier for patients to submit reviews and for doctors to manage their online presence.
Solution:
Built a React Native patient review app with push notifications and kiosk mode
Developed an Expo-based provider app with dashboard access and file sharing
Implemented automated deployment pipelines for faster releases
Continuously integrated new web platform features into both apps
Result:
Increased provider engagement, streamlined on-site review collection, and unified mobile experience across iOS and Android.
Modernizing Cloud Infrastructure for a Global Healthcare Platform
Challenge:
A healthcare platform needed robust cloud infrastructure to support global expansion and enable faster, more reliable deployments.
Solution:
Migrated monolithic application to microservices across AWS and GCP
Implemented GitLab CI/CD for fully automated deployments
Codified all infrastructure using Terraform for consistency and compliance
Established AWS Organizations for improved security boundaries
Result:
92% reduction in deployment time (4 hours to 20 minutes), global infrastructure supporting 6 countries, and complete infrastructure as code coverage for improved compliance.
Building a Global Healthcare Search Platform with Intelligent Specialist Matching
Challenge:
A healthcare review platform needed to transform from a single-country website into a scalable global solution supporting multiple markets.
Solution:
Refactored legacy platform into microservices architecture
Built intelligent search algorithms for specialist matching
Developed cloud infrastructure for multi-country operations
Enabled verified patient review collection across regions
Result:
150% increase in user base, 30% improvement in patient satisfaction rate, 80% fewer fraudulent reviews achieved, expanded to 6 countries, and reduced new market onboarding to one day.
Conducting a Compliance Discovery for a MedTech Company
Challenge:
A medtech company needed to prove that its platform could securely store and process sensitive patient data. Before scaling, they required a full HIPAA/GDPR readiness assessment.
Solution:
Reviewed AWS infrastructure, IAM roles, VPC setup, encryption, backups, and access policies.
Documented risks and delivered a remediation plan and compliance roadmap.
Connected the client with certified HIPAA/GDPR auditors and training partners.
Advised on privacy policies, data access, audit requirements, and PHI-handling best practices.
Result:
Delivered a complete compliance readiness roadmap, identified key AWS vulnerabilities, and aligned the client with certified auditors to accelerate HIPAA/GDPR certification.
Building a Diabetic Retinopathy Care Platform with Mobile App and Provider Portal
Challenge:
A health-tech company needed to bring its clinically validated retinopathy risk algorithm to patients on mobile and to clinicians on the web, with a single team supporting both surfaces.
Solution:
Built a Flutter patient app for iOS and Android with risk visualizations and screening reminders.
Developed a web provider portal for clinicians to manage patient records and risk scores.
Implemented a shared serverless backend on AWS Lambda, RDS, S3, and Cognito.
Set up three isolated environments (dev, staging, production) on the Serverless Framework.
Result:
A single Flutter codebase shipped to both app stores, one shared backend powering both patient and provider surfaces, and three isolated AWS environments managed by a one-person backend team.
Designing a Self-Hosted Patient Chatbot With Server-Enforced Safety
Challenge:
A healthcare platform had a third-party chat window on its homepage that patients were typing health information into, with no emergency handling.
Solution:
Specified a deterministic emergency gate over the rolling conversation window, ahead of any model call
Specified server-side validation of every answer, inside a two-second first-token budget
Reused the shared tool layer and the enquiry and booking flows already in production
Wrote down every store a conversation touches, so an erasure request completes
Result:
Guardrails owned by the client, patient health data held in-house, a calculable worst-case bill.
Designing a Hallucination-Resistant Search Mode for a Healthcare Platform
Challenge:
A healthcare marketplace wanted patients to search in their own words, using the search and infrastructure it already ran.
Solution:
Specified one model call, isolated from the patient-facing application, over the unchanged search path
Constrained the model to a closed schema, with the fields it must not set never shown to it
Gated translation accuracy in continuous integration against a versioned labeled set
Specified an experiment whose decision rule, guardrails and kill switch were written first
Result:
A search upgrade without new infrastructure, health data at the Article 9 standard, a decision, not a feature.
Trusted by Industry Leaders
“DBB Software's commitment to delivering outstanding AI and custom software solutions was truly impressive”
Mariam Asatryan
COO, Software Engineering Company
“DBB Software delivered the first version in record time. The team continues to work on the website with a sense of ownership and pride in their work.”
Alex Shyba
CTO, Uniform
"Impressive what they have managed to make in such a small time, also suggesting new ways to implement, or new technologies we should be aware of.”
Peder Søholt
CTO & Co-Founder, Plaace
"They are skilled, communicative, and dedicated workers. DBB Software has delivered the project on time and with high quality, exceeding the client's expectations"
Alon Gilady
CEO, Renovai
"Their level of engagement and collaboration on each project are impressive. The engagement has reduced call center costs and increased overall consumer growth"
Name withheld under NDA
Product Manager, DispatchHealth
"There was nothing DBB Software could've done differently. DBB Software successfully completed the project's milestones, including an admin panel and data source for customers."
Adam Aly
CEO, Longtail
How We Deliver
From the first conversation to production, DBB combines senior logistics engineers, specialized AI agents, and milestone-based delivery to keep scope, progress, and ownership clear.
Understand the Outcome
We start with your business goal, drivers, dispatchers, and operations teams, your current TMS, WMS, and telematics, technical environment, constraints, and expected result. We listen first and recommend the right path instead of pushing a predefined package.
Define the Right Engagement
Depending on your needs, we propose an integration assessment of the TMS, WMS, and IoT systems you already run, a fixed-scope build of a tracking, dispatch, or route-planning platform, or modernization of a legacy logistics system with minimal downtime. You receive a clear delivery plan with scope, milestones, responsibilities, timeline, and budget.
Design the Solution
Our senior engineers define the architecture, the shipment and fleet data model, TMS, WMS, and IoT device integrations, real-time tracking pipelines, offline behaviour for drivers, security, and the deployment approach. Where AI is involved, we also define route optimization and forecasting models, evaluation, human oversight, and fallback logic.
Build in Milestones
We deliver working functionality in short, visible milestones, rolled out one depot, route, or fleet segment at a time. Our engineers use specialized AI agents across planning, development, testing, and documentation, while remaining accountable for architecture, code quality, security, and final decisions.
Validate, Launch, and Evolve
We test tracking accuracy, integrations, offline and low-connectivity behaviour, performance at peak volume, and security before release. After launch, we support deployment, handover, monitoring, optimization, and further product development.
Have shipments to track, routes to plan, or a legacy TMS to replace?
Tell us what you are trying to achieve. We will help you determine the right technical and delivery approach.
Mina Morkos
Business Development Manager
Discuss Your Project
Why Choose Us for Healthcare App Development?
100+
Skilled
Professionals
We provide healthcare mobile app development services and full-stack biotech solutions built around your specific clinical, regulatory, and patient engagement challenges. With hands-on healthcare domain expertise and HIPAA-compliant workflows, our team brings your application from concept to production faster.
Deep Healthcare & Biotech Domain Expertise
Ongoing engagements for DispatchHealth, Doctify, and RetinaRisk . Your clinical workflows and compliance requirements are built into the architecture from day one.
Long-Term Partnerships & Support
80% of clients stay 7+ years. Our teams collaborate for 5+ years, ensuring continuity and deep product knowledge across every release.
Quality Assurance & Standards Compliance
Adherence to CMMI and ISO standards for continuous improvement, quality, and process optimization with industry's best practices in mind.
FAQ
Let's Talk About Your Healthcare Project
"Tell us about your current situation – what you're building, what clinical systems you're working with, and what's not working.
Whether you need healthcare mobile app development services or a full-stack biotech research application, we'll get back to you within one business day with an honest assessment and, if it's a good fit, an initial cost estimate.”
Mina Morkos
Business Development Manager