Main Lab / Orientation

Baseera
Labs

Clarity over complexity. Systems that adapt to people, not the other way around.

Baseera Labs Main Space

Baseera Labs is the enduring practice. The works shown here are current artifacts of that practice: practical responses to where people most often lose orientation across referrals, handoffs, and the time between visits.

Now exploringCare transitions, continuity of understanding, and patient confidence across fragmented systems
Current focusHandoffs, shared decision-making, and reducing confusion between appointments
Working modeGoverned research, restrained prototyping, and source-grounded product practice

Field Notes

Read Archive
Lab Research Notebook
“Notes are not commentary outside the work. They are part of the work.”
Source Note

Continuity Is a UX Problem Before It Is a Technical Problem

Care transitions often fail before software fails. Interfaces should reduce uncertainty between visits, referrals, and institutions.

Source Note

What Responsible Health AI Looks Like in Practice

Good systems support judgment, surface uncertainty, preserve agency, and make escalation paths explicit instead of pretending to be definitive.

Lab Research Library
001 / Reference

Design for Care

Peter Jones

A foundational reference for healthcare experience, service design, and patient agency in complex systems.

002 / Reference

Improving Diagnosis in Health Care

National Academies Press

A key reference for understanding diagnostic error as a systems and communication problem.

003 / Reference

Shared Decision Making (NG197)

NICE

A practical standard for how care choices should be explained, discussed, and supported.

Methodology

The lab is guided by one recurring question: what restores continuity when care is experienced as a series of disconnected encounters?

01 / Principle

Calm Software

Software should reduce confusion, repetition, and unnecessary noise rather than add another layer of friction to an already difficult journey.

02 / Principle

Continuity First

We design for the spaces institutions leave disconnected: between visits, across referrals, and after the explanation ends and real life begins.

03 / Principle

Responsible AI

AI should be verified, bounded, and useful. It should support understanding and follow-through without performing outside its role.

Current direction

Building infrastructure that restores continuity where care systems fragment.

The current works are not an endpoint. They are adjacent paths emerging from the same core question, with room for new artifacts to emerge as the inquiry deepens.