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PRAXIONIS

Industries / Healthcare & life sciences

Engineering for healthcare & life sciences.

Healthcare and life sciences organisations handle some of the most sensitive information there is. Technology that reduces administrative load can free time for patients and research — but only if privacy, safety and clinical workflows are designed in from the start.
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01 / Common challenges

Problems we're equipped to help with.

CHALLENGE/01
Administrative burden
Referrals, scheduling, correspondence and form handling consume time that clinical and research staff would rather spend elsewhere.
CHALLENGE/02
Unstructured records and documents
Important information sits in letters, scans and free text that is hard to search, route or reuse.
CHALLENGE/03
Integration with clinical and research systems
New tools must work alongside existing record, laboratory and scheduling systems without disrupting care or compliance.

02 / How we would approach it

An embedded way of working.

  1. 01Start with non-clinical, administrative workflows where automation can help safely and measurably.
  2. 02Treat health data as special-category data: minimise it, control access tightly and keep processing auditable.
  3. 03Keep qualified people responsible for any clinically relevant decision; tools assist rather than decide.
  4. 04Work with your information governance and security teams on data protection impact assessments before build.

03 / Considerations

What we plan for from day one.

  • Health data is special-category data under UK GDPR and sensitive personal data under India's DPDP Act; lawful basis and safeguards are agreed per engagement.
  • Software that informs diagnosis or treatment may be regulated as a medical device; we scope engagements to stay clear of that unless it is specifically planned for.

This page describes how we would approach work in this sector. It is not a list of past clients or projects.

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