Healthcare product teams

Build the next part of your healthcare product.

Building a healthcare product or improving a hospital screening program? Our engineers can join your team to connect clinical systems, improve report processing or build the next patient follow-up feature.

Discuss your healthcare workflow

Who we work with

Healthtech founders

Turn a defined product idea into a first working feature. We help identify the systems, data and review steps involved, then build and test the agreed scope.

Healthcare software teams

Add an integration, improve report processing or continue an existing platform. Our engineers work with your codebase, reviews and release process.

Hospital screening programs

Improve how patient records, outreach, scheduling and reporting fit together. Begin with one workflow and the systems your program already uses.

Where we help

The work we can take on.

Start with the part of the product that needs attention: a hospital connection, a clinical-data pipeline or the work of tracking and following up with patients.

01

Connect to hospital systems

Add an EHR connection to your product, including the data mapping, permissions and checks needed for patient records, orders and results.

02

Improve clinical report processing

Work through inconsistent report formats, patient/exam matching and failed imports so your team can use the incoming information.

03

Build patient follow-up tools

Connect patient tracking, outreach, scheduling and adherence reports to the way your screening team works.

04

Add supporting AI features

Build summaries or secondary assessments with defined source data, evaluation and clinical review. Our experience includes rules-based NLP and supporting LLM analysis.

A practical starting point

Bring in engineers for the next part of your product.

We can work on a feature in your existing codebase or review an integration before development. We agree how our engineers will work with your product team, clinical reviewers and release process.

Why Stax3

Production hospital workflows

Our engineers have worked on hospital screening software that connects EHR data, clinical reports and patient follow-up.

Reliable clinical-data processing

The work included high-volume HL7 feeds, format differences, normalization and accurate patient/exam associations.

AI that can be checked

Our experience includes rules-based NLP, supporting LLM assessments, prompt versioning, tracing and evaluation, with clinical review for uncertain cases.

Controls for sensitive information

We contributed access controls by role, audit logs, encryption and secure handling of patient information within the platform’s security requirements.

Engineering decisions

From the first discussion to working software.

01

Understand the next piece of work

We review the users, existing systems and the task that needs to work better. Together we define what the first version should do.

02

Build alongside your team

We implement the feature or integration, share progress and work through the data and system issues as they arise.

03

Test the workflow and hand it over

We check the main flow and exceptions with your team, then document release steps, access and ongoing responsibilities.

Relevant experience

From hospital reports to screening follow-up.

We have contributed to a production cancer-screening platform used in hospital settings. The work covered Epic HL7/FHIR integration, high-volume report processing, patient tracking, outreach and reporting. Rules and NLP handled the main processing; LLMs added summaries and secondary assessments, with clinical review for uncertain cases.

Explore healthcare workflow engineering

Working with healthcare data

Check the data, the connection and the exceptions.

For each integration or record workflow, we agree on how incoming information is checked, what can change and what needs someone to review it.

Incoming data

Map the fields between systems and check missing, invalid or inconsistent values before using them.

Patient identity and duplicates

Define matching and merge rules, including when a person needs to resolve an uncertain match.

Failures and reconciliation

Make failed updates visible, define retries and check that connected systems agree after a change.

Access and traceability

Agree on who can read or change information and what needs to be recorded for investigation and review.

Explore reviewed AI workflows

Useful answers

Before we start.

Can you work with our existing healthcare product?

Yes. We review the codebase, integrations and delivery process, then agree on a feature, integration or ongoing engineering role. We can work directly with your product and clinical reviewers.

What should we share for a first conversation?

Describe the workflow, systems and users involved. Patient records and account credentials are not needed for an initial discussion.

Do you also build practice websites?

Yes. Our healthcare-practices page covers public service information, appointment paths and practice websites. Product and clinical-system work is scoped separately.

Start with the context

What does your healthcare team need to build next?

Tell us about the product or program, the systems involved and the next piece of work. We will discuss how our engineers can help.

Discuss your healthcare workflow