Healthcare engineering built around the moment care happens

From patient access and clinical workflows to pharmacy, connected devices, and FHIR data exchange, Stackera designs healthcare platforms around the people using them—and the safety, privacy, and evidence obligations that follow every decision.

  1. Care experience

    Patient apps · Clinician workspaces · Partner portals

  2. Care workflows

    Access & referrals · Orders & results · Care pathways

  3. Clinical intelligenceAI layer

    Summarisation · Prioritisation · Forecasting

  4. Health record

    EHR & FHIR · Medication record · Longitudinal history

  5. Devices & partners

    Labs & imaging · Connected devices · Pharmacies & payers

  6. Trust & evidence

    Consent & access · Data provenance · Audit trail

From digitised records to connected care

Healthcare has moved beyond putting paper workflows on screens. The current challenge is making records, devices, teams, and decisions work as one dependable system without losing clinical context or control.

  1. 2010s

    The record goes digital

    EHR adoption gives care teams a durable digital record, but local configurations and closed systems reproduce many of the old silos.

  2. 2016

    Interoperability becomes infrastructure

    FHIR APIs and shared terminology make clinical data easier to exchange, turning integration from a one-off interface into a product capability.

  3. 2020

    Care leaves the facility

    Virtual care, remote monitoring, and digital access move more of the patient journey into homes, phones, and connected devices.

  4. 2023

    Every handoff becomes visible

    Live operational data connects beds, medications, equipment, and supply chains while cybersecurity and traceability expectations rise.

  5. Now

    Governed intelligence enters the workflow

    AI begins to prepare, prioritise, and coordinate work around care—with source evidence, scoped actions, and accountable clinical review.

AI Transformation · Shift-ready clinical coordination

Give care teams the context that changes the next action

Assemble current orders, results, and handoff notes into a source-linked view before a clinician reviews it.

Explore Enterprise AI
Connected

What changed for this patient since handoff?

  • Source-linked
  • Time-stamped
  • Clinician reviewed

Healthcare systems we know from the inside

Every care setting has a different workflow, evidence burden, and integration surface. We design for those differences rather than placing the same interface over each one.

Sector system

Health Systems & Clinical Operations

Connected
01Clinical workspaces
02Patient-flow orchestration
03EHR integration
04Operational command centres

Operational platforms that connect patient flow, care-team work, orders, results, and capacity without replacing the clinical systems already in place.

  • Clinical workspaces
  • Patient-flow orchestration
  • EHR integration

Operational command centres

A core workflow, designed into the platform from the first release.

04

specialist workstreams

One operating model

Product, data, controls, and operations aligned around the same platform.

Clinical workspacesConnected
Patient-flow orchestrationConnected
EHR integrationConnected

Connected by design

Identity, events, and evidence move through one dependable system.

Connected healthcare product interface

Product surface

Built for Health Systems

Experience, controls, and data shaped around how this sector operates.

Signs a healthcare platform is creating more work than it removes

The warning signs usually appear first at the handoffs—between people, systems, facilities, and evidence. If several are familiar, the platform needs more than another interface patch.

  1. 01

    Clinicians re-enter the same information because workflows and records do not share context.

  2. 02

    Every new hospital, lab, device, or payer integration becomes a bespoke project.

  3. 03

    Consent, access history, and clinical evidence have to be reconstructed for a review.

  4. 04

    Operational teams learn about stock, capacity, or temperature exceptions after service is affected.

  5. 05

    Alerts are technically correct but too frequent or context-poor for teams to trust.

  6. 06

    A promising AI pilot cannot move into care because its sources, limits, and approvals are unclear.

  7. 07

    Release documentation and validation evidence are assembled after engineering is finished.

  8. 08

    Security reviews repeatedly block deployments because controls cannot be demonstrated from the platform.

Where this expertise becomes a healthcare platform

Relevant Case Studies

FAQ

Healthcare platform engineering, answered

The questions healthcare product, technology, clinical, and quality leaders ask most often before an engagement.

Clinical and pharmacy platforms, patient and clinician applications, remote-monitoring products, connected-device and SaMD software, FHIR interoperability layers, healthcare data platforms, and medicines or vaccine traceability systems. We work with providers, digital-health companies, device teams, pharmacies, distributors, and life-sciences operations.

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From:The Founders Of Next Generation

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