Nirmitee.io

For teams building connected healthcare

Healthcare Software Accelerators

Build your healthcare product around the right starting point.

Explore healthcare product development accelerators for EHR workflows, device integration, remote patient monitoring, AI and cloud operations.

Eight healthcare product frameworks

Choose your starting point.

Find your workflow, review the scope and request an implementation assessment.

01

EHR & Clinical Workflow Starter

Specialty-care startups, clinic software companies and teams building clinician workspaces.

Scope a clinical application foundation with the records, workspaces and APIs your product needs.

  • Patient & practice records
  • Clinical workspace
  • Team workflows
  • Data & access
Explore scope for EHR & Clinical Workflow Starter

Your first clinical workflow needs patient records, encounters and permissions before your product can do anything distinctive.

Patient & practice records
Patient and practitioner profiles, organizations, locations, identifiers and configurable registration forms.
Clinical workspace
Appointments, encounters, note templates, problems, allergies, medication lists and clinical observations.
Team workflows
Task assignment, document review, work queues and role-specific views for clinicians and operational staff.
Data & access
FHIR resource interfaces, record history, access policies and audit events for the agreed workflows.

Target acceptance walkthrough

  1. Register a synthetic patient
  2. Schedule and document an encounter
  3. Review the longitudinal record
  4. Retrieve authorized data through an API
Tailored to your product
Specialty templates, record models, user roles, clinical terminology, consent requirements and connections to existing systems.
Handover deliverables
Clinical workflow specification, configured record model, application source, API documentation and acceptance scenarios.
Scope to agree
A clinical starter is not a complete certified EHR. Electronic prescribing, claims, decision support and certification pathways require separate scope and validation.
Healthcare product engineering
02

EHR Integration & SMART on FHIR Starter

HealthTech SaaS vendors, clinical AI companies and digital-care platforms onboarding provider customers.

Plan reusable connection, authorization and synchronization components around a defined clinical workflow.

  • Authorization & launch
  • Clinical synchronization
  • Connection configuration
  • Reliable delivery
Explore scope for EHR Integration & SMART on FHIR Starter

A successful product pilot becomes a different integration project at every hospital.

Authorization & launch
SMART launch context, standalone authorization, token lifecycle and scoped access for supported environments.
Clinical synchronization
Patient and encounter exchange, selected clinical resources, incremental synchronization and reconciliation.
Connection configuration
Customer-specific endpoints, credential references, mapping versions and connection diagnostics.
Reliable delivery
Duplicate protection, retries, failure queues, delivery history and controlled recovery.

Target acceptance walkthrough

  1. Connect an approved EHR sandbox
  2. Launch with patient context
  3. Synchronize an agreed data set
  4. Reconcile a failed or duplicate event
Tailored to your product
EHR vendor, enabled APIs, FHIR profiles, HL7 interfaces, clinical workflow, synchronization direction and customer access policies.
Handover deliverables
Connection matrix, field mappings, configured adapters, reconciliation evidence and customer onboarding instructions.
Scope to agree
Vendor approval, customer authorization, interface fees and sandbox access are external dependencies. A tested adapter for one environment does not imply universal EHR compatibility.
EHR integration services
03

Medical Device Integration & RPM Starter

Connected-device companies, remote monitoring startups and chronic-care platforms.

Scope a remote patient monitoring (RPM) software framework with device ingestion, enrollment and care-team follow-up.

  • Device connectivity
  • Reading integrity
  • Care-team operations
  • Clinical exchange
Explore scope for Medical Device Integration & RPM Starter

Readings arrive in different formats, go missing or become disconnected from the patient and the care-team workflow.

Device connectivity
Adapters for selected device-cloud APIs, webhooks and gateways, with Bluetooth/mobile pathways scoped to supported devices.
Reading integrity
Device-to-patient association, timestamps, units, provenance, buffering and handling of late, duplicate or out-of-order readings.
Care-team operations
Enrollment, device assignment, monitoring plans, threshold queues, outreach tasks and escalation ownership.
Clinical exchange
Observation mapping, trend views, missing-reading detection and delivery reconciliation with connected clinical systems.

Target acceptance walkthrough

  1. Enroll a patient and assign a device
  2. Ingest and normalize sample readings
  3. Route a threshold event for review
  4. Document follow-up and delivery status
Tailored to your product
Device models and firmware, vendor SDKs, units, reading frequency, clinical thresholds, escalation rules and patient-facing experiences.
Handover deliverables
Device compatibility scope, ingestion adapters, monitoring workspace, synthetic reading scenarios and operational runbooks.
Scope to agree
Device coverage must be demonstrated in a compatibility matrix. Clinical thresholds require customer approval. Device clearance and reimbursement eligibility are separate from software functionality.
Medical device integration
04

Healthcare AI Application Starter

AI-first healthcare startups and existing healthcare SaaS products adding assistive AI.

Define an assistive AI application with source references, structured outputs, evaluation and human review.

  • Application orchestration
  • Knowledge & retrieval
  • Review workspace
  • Evaluation & cost
Explore scope for Healthcare AI Application Starter

The prototype generates an answer, but your team cannot explain its sources, evaluate changes or safely connect it to a workflow.

Application orchestration
Model-provider adapters, prompt versions, structured-output validation and controlled tool permissions.
Knowledge & retrieval
Document ingestion, access-aware retrieval, source references and retention settings for the agreed information sources.
Review workspace
Approve, edit or reject generated drafts; capture feedback and retain a traceable history of the interaction.
Evaluation & cost
Task-specific evaluation sets, regression checks, response traces, latency and token-cost reporting.

Target acceptance walkthrough

  1. Load a synthetic referral or patient record
  2. Generate a source-linked draft
  3. Inspect and correct the result
  4. Compare quality across prompt versions
Tailored to your product
Use case, model provider, source documents, output schema, review roles, evaluation criteria and downstream actions.
Handover deliverables
Application workflow, prompt/configuration registry, evaluation set, review interface and model/data handling documentation.
Scope to agree
Initial applications focus on record summaries, document extraction, staff knowledge and documentation drafts. Diagnosis, treatment recommendations and autonomous clinical actions require separate clinical validation and governance.
Healthcare AI engineering
05

Telehealth & Patient Portal Starter

Telehealth startups, specialty virtual clinics and patient-engagement product companies.

Plan a telehealth software framework with patient portals, intake, visits and follow-up in one connected journey.

  • Onboarding & intake
  • Visit coordination
  • Patient & clinician workspaces
  • Continuity of care
Explore scope for Telehealth & Patient Portal Starter

Video visits are only one part of the product; intake, scheduling, communication and follow-up still need to work together.

Onboarding & intake
Patient registration, configurable questionnaires, document exchange and consent capture.
Visit coordination
Availability, scheduling, reminders, video-provider integration and visit access controls.
Patient & clinician workspaces
Visit context, secure messages, documents, summaries and follow-up instructions.
Continuity of care
Follow-up tasks, referral status, configurable care plans and handoff to connected clinical systems.

Target acceptance walkthrough

  1. Complete intake and schedule a visit
  2. Join a configured video session
  3. Review and publish a visit summary
  4. Track the patient follow-up task
Tailored to your product
Care model, appointment types, clinician availability, video and messaging providers, accessibility needs and payment-provider integration.
Handover deliverables
Patient journey, configured web workspaces, provider integrations, role/access matrix and end-to-end acceptance scenarios.
Scope to agree
Clinical staffing, prescribing, emergency coverage and jurisdiction-specific care obligations are customer operating responsibilities. Third-party communication and payment costs are scoped separately.
Healthcare MVP development
06

Healthcare SaaS Enterprise Readiness Starter

Healthcare SaaS companies preparing for larger customers and repeatable deployments at Series A or B.

Scope the tenant, access and operating foundation needed to onboard and support enterprise customers.

  • Tenant onboarding
  • Enterprise access
  • Controlled change
  • Operating evidence
Explore scope for Healthcare SaaS Enterprise Readiness Starter

Every enterprise sale introduces a different access model, integration setup and operational checklist.

Tenant onboarding
Tenant provisioning, customer configuration, onboarding checklists and environment separation.
Enterprise access
SSO integration, roles, user administration, access reviews and time-bound support access.
Controlled change
Feature flags, configuration versions, release approvals and rollback procedures.
Operating evidence
Audit exports, usage metering, operational dashboards, backup/recovery workflows and documented responsibilities.

Target acceptance walkthrough

  1. Provision a customer workspace
  2. Configure SSO and an integration
  3. Release a feature to selected tenants
  4. Export an audit trail and exercise recovery
Tailored to your product
Tenant isolation architecture, identity provider, hosting model, data residency, recovery objectives and support-access policy.
Handover deliverables
Tenant architecture, provisioning workflow, access-control evidence, deployment templates and recovery runbook.
Scope to agree
Security certification, penetration testing and customer procurement approval are separate activities. The architecture must be assessed against the actual workload and threat model.
Platform modernization services
07

Healthcare MLOps & LLMOps Starter

Healthcare AI teams moving from experiments into repeatable model releases and monitored operation.

Build the operating workflow around model development, evaluation, approval, deployment and monitoring.

  • Data & experiments
  • Evaluation & approval
  • Serving & monitoring
  • LLM lifecycle
Explore scope for Healthcare MLOps & LLMOps Starter

Model quality depends on a notebook, training data is hard to trace and a release cannot be reliably reproduced or rolled back.

Data & experiments
Dataset provenance and versioning, labeling workflows, reproducible training jobs and experiment tracking.
Evaluation & approval
Model registry, task and subgroup evaluation, release criteria, review gates and deployment history.
Serving & monitoring
Model serving, staged releases, rollback, data-quality checks, drift signals and performance monitoring when outcome labels are available.
LLM lifecycle
Prompt and retrieval versions, source-grounding checks, human-review feedback, regression evaluation and latency/cost visibility.

Target acceptance walkthrough

  1. Register two model or prompt versions
  2. Compare an agreed evaluation set
  3. Approve a staged release
  4. Investigate degradation and roll back
Tailored to your product
Model type, training stack, deployment environment, evaluation cohorts, ground-truth availability, monitoring thresholds and approval owners.
Handover deliverables
Versioned pipelines, registry configuration, evaluation reports, release workflow, monitoring definitions and operating documentation.
Scope to agree
Drift is a signal for investigation, not proof of clinical harm or accuracy loss. Clinical safety, effectiveness and regulatory submissions require separate evidence and review.
Healthcare data engineering
08

Healthcare AIOps & Reliability Starter

Healthcare SaaS and integration teams managing multiple services, customer environments and cloud workloads.

Connect telemetry, operational context and approved recovery workflows into one incident investigation path.

  • Operational visibility
  • Signal correlation
  • Assisted investigation
  • Controlled recovery
Explore scope for Healthcare AIOps & Reliability Starter

An incident generates alerts across systems, but the team still has to reconstruct what changed and how to recover.

Operational visibility
Selected application, infrastructure and integration metrics, structured logs, distributed traces and dependency views.
Signal correlation
Alert grouping, duplicate suppression, anomaly signals and correlation with releases or configuration changes.
Assisted investigation
Evidence-linked incident summaries, likely-cause suggestions and runbook recommendations with access controls and sensitive-data redaction.
Controlled recovery
Approval-based remediation, post-action checks, incident timelines and availability, latency and capacity reporting.

Target acceptance walkthrough

  1. Simulate an integration failure
  2. Correlate alerts with a recent change
  3. Review evidence and approve a runbook
  4. Verify recovery and record the incident
Tailored to your product
Telemetry stack, service dependencies, incident tooling, service objectives, alert policies, remediation permissions and support coverage.
Handover deliverables
Telemetry configuration, service dashboards, alert rules, reviewed runbooks, access policies and recovery evidence.
Scope to agree
AI-generated causes are hypotheses to verify. Production actions require explicitly authorized controls; monitoring software alone does not provide a staffed 24/7 response service.
Integration monitoring & support

A shared product foundation.

Connect clinical, device and AI modules around shared identities, data and operating controls.

Assess product fit
Identity & organizations
Tenants, users, practitioner profiles, locations, roles and permission boundaries.
Patient & workflow context
Patient identifiers, forms, tasks, schedules, documents and consent records.
Integration building blocks
Credential references, API adapters, mapping versions, webhooks and delivery history.
Security & traceability
Access controls, audit events, secrets handling, retention settings and reviewable operating policies.
Delivery & operations
Environment configuration, release pipelines, monitoring, backup procedures and recovery runbooks.
Evaluation & handover
Synthetic fixtures, acceptance scenarios, developer documentation and ownership boundaries.

From first product to Series B.

Choose by your next customer commitment, not just your funding stage.

What your engagement delivers.

Agree component readiness, source-code rights, third-party licensing, milestones and support coverage in your proposal.

  1. Assess fit

    Review workflows, components and integration dependencies.

    Output: fit assessment and scope boundaries
  2. Demonstrate the baseline

    Inspect available components with synthetic data and record gaps.

    Output: capability evidence and acceptance plan
  3. Configure & extend

    Build your workflows, interfaces and controls.

    Output: versioned application and integration configuration
  4. Validate & hand over

    Verify workflows, access and recovery before release.

    Output: test evidence, runbooks and release decision

Questions before you commit.

Are these accelerators available to deploy today?

This catalogue describes accelerator scopes in planning. It is not a claim that eight finished products are available. In a fit assessment, we identify existing reusable components, demonstrate what is available and separate configuration from new development before agreeing delivery.

How is an accelerator different from a SaaS subscription or custom development?

A SaaS subscription gives access to an operated product. An accelerator engagement uses reusable components within a defined implementation project. We specify the reusable baseline, your custom work, licensing, ownership and operating responsibilities in the proposal.

Can we combine clinical, device and AI accelerators?

Yes, we can scope a combined solution around a shared patient, identity and integration model. For example, an RPM product may need device ingestion, a care-team workspace and EHR connectivity. Their interfaces and acceptance criteria must be designed and tested together.

Do we receive source code and own the resulting product?

The agreement distinguishes customer-specific code, pre-existing Nirmitee components, open-source dependencies and third-party software. Source access, ownership, license rights and restrictions are agreed before implementation; ownership is not assumed for every component.

Can the solution run in our cloud environment?

Customer-managed deployment can be scoped around your cloud, identity, networking and operational requirements. We agree supported environments, deployment responsibility, data location, backup/recovery objectives and ongoing access before delivery.

How long will implementation take and what will it cost?

Timing and fees follow a review of the workflow, existing components, connected-system access, required customization and acceptance criteria. The estimate separates discovery, engineering, external licensing or usage costs, validation and support. There is no universal deployment timeline.

Are the accelerators HIPAA compliant or certified medical software?

A software foundation does not by itself establish HIPAA compliance or medical-device clearance. Security controls, agreements, risk assessment, intended use, validation and ongoing operation must be addressed for the specific implementation.

What is the difference between the AI, MLOps and AIOps starters?

The AI starter helps build an application feature such as a reviewed documentation draft. MLOps and LLMOps manage data, model or prompt evaluation, releases and monitoring. AIOps helps teams investigate and recover from incidents across the wider software and integration environment.

Your next product decision

Let’s scope
your starting point.

Share your product stage, target workflow and integration needs. We’ll outline the relevant framework, customization and delivery dependencies.

  • Your product stage and first customer workflow
  • Existing code, EHRs, devices and data access
  • Required controls, hosting and delivery constraints

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