HEALTHCARE SOFTWARE DEVELOPMENTConnect healthcare operations without creating another data silo.

We design and build patient-facing applications, administrative platforms and AI-assisted workflows that read from and write to your existing EHR, practice management and billing systems through FHIR, HL7 v2 or vendor APIs, with access logging and human review built in from day one.

HealthTech founders, provider groups, healthcare administrators and life sciences operations teams

See How We Scope Projects
CampusFlow software development case study — THE TISAEZSKU software development case study — THE TISAGroup Hotel Index software development case study — THE TISALockYantra software development case study — THE TISANarsik Logistics software development case study — THE TISAOpsPilot software development case study — THE TISARatiwal software development case study — THE TISASpeakify software development case study — THE TISA
CampusFlow software development case study — THE TISAEZSKU software development case study — THE TISAGroup Hotel Index software development case study — THE TISALockYantra software development case study — THE TISANarsik Logistics software development case study — THE TISAOpsPilot software development case study — THE TISARatiwal software development case study — THE TISASpeakify software development case study — THE TISA
Care coordinator reviewing a patient intake queue on a tablet in a clinic — THE TISA

THE OPERATIONAL GAP

When care operations depend on disconnected records.

Most healthcare software projects don't fail on features. They fail where data crosses systems, roles and handoffs. These are the gaps we look for first.

Intake data re-entered across scheduling, clinical and billing tools

01

Front-desk staff key the same demographics and insurance details into two or three systems. Every re-entry is a chance for a mismatched member ID or a denied claim downstream.

Referrals, faxes and documents routed without clear ownership

02

Inbound referrals and lab results land in shared inboxes and fax queues with no assigned owner, no due date and no way to tell whether anyone acted on them.

Reporting stitched together from systems with inconsistent identifiers

03

Patient, provider and location IDs differ between the EHR, the billing platform and the data warehouse, so every quality or operations report starts with manual matching.

Protected health information visible beyond the people who need it

04

Shared logins, broad roles and exports to spreadsheets make it hard to apply minimum-necessary access or answer who viewed a record and when.

Intake data re-entered across scheduling, clinical and billing tools

01

Front-desk staff key the same demographics and insurance details into two or three systems. Every re-entry is a chance for a mismatched member ID or a denied claim downstream.

Referrals, faxes and documents routed without clear ownership

02

Inbound referrals and lab results land in shared inboxes and fax queues with no assigned owner, no due date and no way to tell whether anyone acted on them.

Reporting stitched together from systems with inconsistent identifiers

03

Patient, provider and location IDs differ between the EHR, the billing platform and the data warehouse, so every quality or operations report starts with manual matching.

Protected health information visible beyond the people who need it

04

Shared logins, broad roles and exports to spreadsheets make it hard to apply minimum-necessary access or answer who viewed a record and when.

WHAT WE BUILD

Healthcare software we design and build.

Each product is scoped around one authoritative record, the systems it must integrate with, and the people allowed to act on it.

01

Patient and provider portals

Self-scheduling, digital intake, consent capture, secure messaging and results access, connected to your EHR so staff never retype what patients submitted.

02

Care coordination and administrative workflow systems

Referral management, prior-authorization tracking, document queues and task routing with clear ownership, due dates and audit history.

03

HealthTech SaaS platforms

Multi-tenant products for virtual care, remote monitoring or practice operations, designed for per-customer data isolation and EHR connectivity from the start.

04

Research operations and document management

Study start-up trackers, controlled document repositories and sample or site workflows for life sciences teams that need versioning and sign-off trails.

01

Patient and provider portals

Self-scheduling, digital intake, consent capture, secure messaging and results access, connected to your EHR so staff never retype what patients submitted.

02

Care coordination and administrative workflow systems

Referral management, prior-authorization tracking, document queues and task routing with clear ownership, due dates and audit history.

03

HealthTech SaaS platforms

Multi-tenant products for virtual care, remote monitoring or practice operations, designed for per-customer data isolation and EHR connectivity from the start.

04

Research operations and document management

Study start-up trackers, controlled document repositories and sample or site workflows for life sciences teams that need versioning and sign-off trails.

WORKFLOW EXAMPLE

From patient intake to a matched, routed record.

An example intake flow. Exact systems, permissions and exception rules are agreed with your clinical and operations leads.

  1. Intake submitted

    InputPatient web or mobile intake form, or uploaded referral document

    OutputStructured intake record with source, timestamp and attachments

    01
  2. Identity and consent validated

    InputStructured intake record

    OutputVerified demographics, insurance details and recorded consent

    02
  3. Patient matched or created in the EHR

    InputVerified intake data

    OutputLinked patient record via FHIR or vendor API, or a flagged possible duplicate

    03
  4. Exceptions reviewed by operations staff

    InputPossible duplicates, missing insurance, low-confidence document fields

    OutputStaff-resolved record with reviewer and reason logged

    Review required

    04
  5. Status updated and care team notified

    InputResolved patient record

    OutputScheduled appointment or task, notifications to permitted users, full event history

    05

SYSTEM DESIGN

The architecture behind the workflow.

A reference design we adapt to your EHR, hosting environment and data boundaries. Not every organization needs every component.

  1. Patient portal and intake API
  2. Identity, consent and access service
  3. Workflow engine and document extraction
  4. FHIR / HL7 integration layer
  5. EHR, practice management and billing systems
  6. Exceptions reviewed by operations staff
  7. Patient portal and intake API to Identity, consent and access service
  8. Identity, consent and access service to Workflow engine and document extraction
  9. Workflow engine and document extraction to FHIR / HL7 integration layer
  10. FHIR / HL7 integration layer to EHR, practice management and billing systems
  11. Workflow engine and document extraction to Exceptions reviewed by operations staff
  12. Exceptions reviewed by operations staff to FHIR / HL7 integration layer

Patient portal and intake API -> Identity, consent and access service -> Workflow engine and document extraction -> FHIR / HL7 integration layer -> EHR, practice management and billing systems

  • 01

    Patient portal and intake API

    Collects patient and referral input, validates required fields and stores submissions encrypted with a full source record.

  • 02

    Identity, consent and access service

    Verifies patients and staff, records consent, and enforces role- and relationship-based access to each record.

  • 03

    Workflow engine and document extraction

    Routes tasks, applies business rules, and extracts fields from documents with confidence scores that trigger human review when low.

  • 04

    FHIR / HL7 integration layer

    Maps internal records to FHIR resources or HL7 v2 messages and handles retries, idempotency and vendor rate limits.

  • 05

    EHR, practice management and billing systems

    Remain the systems of record; receive validated updates and supply the history shown back to staff and patients.

Technology

Chosen for the systems above.

A working set we already use for workflow software. The exact tools are chosen after the interfaces, records, and review points are known.

  • HL7 FHIR R4
  • SMART on FHIR
  • HL7 v2
  • OAuth 2.0 / OpenID Connect
  • AWS / Azure / Google Cloud healthcare services
  • Interfaces

    React
    Next.js
    TypeScript
    Tailwind CSS
    React
    Next.js
    TypeScript
    Tailwind CSS
  • Services

    Node.js
    Python
    NestJS
    Express.js
    Node.js
    Python
    NestJS
    Express.js
  • Data

    PostgreSQL
    MongoDB
    MySQL
    Redis
    PostgreSQL
    MongoDB
    MySQL
    Redis
  • Delivery

    AWS
    Docker
    GitHub
    AWS
    Docker
    GitHub

DESIGN TRADE-OFFS

Decisions that change cost, reliability and scope.

We settle these early, with your data and vendor documentation in hand, because they drive most of the budget.

FHIR APIs versus HL7 v2 or vendor-specific interfaces

Certified EHRs expose FHIR APIs, but write access, available resources and app registration vary by vendor and by your contract. Older interfaces may still need HL7 v2 feeds or an integration engine.

Confirm with your EHR vendor's developer documentation, sandbox access and your contract terms.

Rules versus AI document extraction

Standard forms are handled more reliably with templates and rules. AI extraction earns its cost on variable documents such as referral letters, provided low-confidence fields go to a person.

Measure field-level accuracy on a de-identified sample of your real documents.

Administrative versus clinical scope

Scheduling, intake and document routing can be automated aggressively. Anything that informs diagnosis or treatment needs clinical validation and may raise FDA software-as-a-medical-device questions.

Classify each feature's intended use with your clinical and regulatory leads before build.

FHIR APIs versus HL7 v2 or vendor-specific interfaces

Certified EHRs expose FHIR APIs, but write access, available resources and app registration vary by vendor and by your contract. Older interfaces may still need HL7 v2 feeds or an integration engine.

Confirm with your EHR vendor's developer documentation, sandbox access and your contract terms.

Rules versus AI document extraction

Standard forms are handled more reliably with templates and rules. AI extraction earns its cost on variable documents such as referral letters, provided low-confidence fields go to a person.

Measure field-level accuracy on a de-identified sample of your real documents.

Administrative versus clinical scope

Scheduling, intake and document routing can be automated aggressively. Anything that informs diagnosis or treatment needs clinical validation and may raise FDA software-as-a-medical-device questions.

Classify each feature's intended use with your clinical and regulatory leads before build.

SECURITY & COMPLIANCE

Safeguards designed for protected health information.

Controls are specified against your data flows, hosting model and the HIPAA Security Rule's administrative, physical and technical safeguards, then tested before release.

HIPAA obligations depend on whether you are a covered entity or business associate and on how PHI flows; a Business Associate Agreement may be required. FHIR connectivity depends on your EHR vendor's interface support and access terms.

  • PHI access logging

    Every view, export and change to patient data is logged with user, time and reason, and the logs are retained and reviewable by your compliance team.

  • Minimum-necessary, role-scoped access

    Front desk, clinical, billing and patient users see only the fields their role requires, enforced in the API rather than only in the interface.

  • Human review for sensitive decisions

    AI suggestions never finalize clinical, coverage or patient-identity decisions; they queue for a named reviewer with the evidence attached.

  • Encryption, retention and incident response

    Data is encrypted in transit and at rest, retention follows your record policy, and breach detection and notification steps are documented with your team.

NIST Cybersecurity Framework 2.0NIST AI Risk Management Framework
NIST Cybersecurity Framework 2.0NIST AI Risk Management Framework

DELIVERY APPROACH

From real system constraints to a verifiable release.

Each phase ends with something your team can review and sign off, not just a status update.

  1. 01

    Map source systems and permitted data

    Inventory EHR, billing and scheduling interfaces, data owners and the PHI each workflow touches.

    Signed system and data-flow inventory, including which interfaces are available under your vendor contracts.

  2. 02

    Prototype mappings and review paths

    Map fields to FHIR resources or HL7 messages and click-test the intake and exception screens with staff.

    Approved field mappings, exception list and a clickable prototype tested with front-line users.

  3. 03

    Build portal and workflow services

    Deliver a thin, working slice end to end against your EHR sandbox.

    One complete workflow running in a test environment with real roles and synthetic patients.

  4. 04

    Test access, records and exceptions

    Run authorized and unauthorized access tests, duplicate-patient scenarios and interface failure cases.

    Test report covering access control, duplicate handling, interface outages and audit-log completeness.

  5. 05

    Release with monitoring and named owners

    Go live in a limited scope with monitoring and rollback ready.

    Production runbook, alerting, rollback plan and named operational owners signed off.

PROJECT PLANNING

What we need to define before development begins.

A first conversation covers these questions. Most can be answered by your operations lead and EHR administrator.

  1. 01

    Which EHR and practice management systems are in use, and what API access does your contract include?

  2. 02

    Which system is the record of truth for demographics, insurance and appointments?

  3. 03

    Which roles may view, change or approve each record, and who reviews exceptions?

  4. 04

    Does any feature inform clinical decisions, or is the scope administrative?

  5. 05

    What does a successful first release look like in measurable terms, such as intake time or re-keyed fields?

EHR sandbox and API credentials

Business Associate Agreement where PHI is handled

De-identified sample documents and data

Clinical or compliance reviewer availability

EHR sandbox and API credentials

Business Associate Agreement where PHI is handled

De-identified sample documents and data

Clinical or compliance reviewer availability

Healthcare software development FAQs.

Usually, yes, but the route depends on the vendor and your contract. We start with the vendor's FHIR API where it supports what you need, and fall back to HL7 v2 feeds, an integration engine or vendor-specific APIs where it doesn't. We confirm sandbox access, write permissions and app-registration requirements before committing to a design.

Software alone can't be HIPAA compliant; compliance depends on how your organization uses it. We build the technical safeguards the HIPAA Security Rule expects, including access controls, audit logs, encryption and integrity checks, and document them so your compliance team can assess the deployed system.

Yes, for extraction and classification, with limits. We test accuracy on a de-identified sample of your documents, send low-confidence fields to staff for review, and keep a person responsible for anything that affects identity, coverage or care.

Most teams should start administrative: intake, scheduling, referral routing or prior-authorization tracking. These deliver measurable time savings with lower regulatory risk, and they build the integration foundation clinical features need later.

A focused first release, such as a patient intake workflow connected to one EHR, is typically scoped in weeks rather than months. EHR access approval and vendor app review are often the longest lead items, so we start those in the first phase.

You own the application we build for you and the records it stores. Vendor systems such as the EHR remain under your existing contracts. We document what is transferred, what stays in the source system, and how access is revoked when a user or vendor changes.

It can run in your cloud account or in an environment you approve. The hosting choice follows your data agreements, the EHR vendor's network requirements, and who is responsible for backups and access reviews.

One workflow, one system of record, and the roles that touch it. Intake, referral routing, or a staff queue is a typical start. Clinical decision support is left out until the administrative path is stable and a clinical owner has classified the intended use.

We can stay on for fixes, interface changes, and the next workflow, or hand the repository and runbooks to your team. The handover includes how to rotate credentials, read the audit log, and roll back a release.

Have a healthcare workflow or product to build?

Tell us which systems you run, who uses them and where the work breaks down. We'll come back with a feasible first release and what it depends on.

Tell us how the work runs today, which systems already hold the data, and what a useful first release would change. We use that to judge scope before anyone writes a proposal.

The form goes to a solutions architect at THE TISA. You get a direct reply on fit, approach, and what we would need from your team.

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