Clinic workflows with explicit data boundaries and access rules
Clinic software needs clear rules for patient records, staff permissions, scheduling, consent documents and payments. I build those workflows from an agreed scope and a defined access model.
An appointment screen alone does not explain who can read a patient record, change a treatment note or collect a deposit. These decisions need to be mapped before implementation and checked across client and backend code.
I built Callidus OS, a React, TypeScript and Firebase clinic platform for UK aesthetic clinics. The case study documents tenant-scoped Firestore data, six staff roles, patient records, consent forms, scheduling and Stripe Connect deposits. The engagement ran from the initial rebuild through production maintenance and handover; it is not a claim of legal certification.
List what owners, practitioners and reception staff need to see and change. Patient notes, appointments, invoices and account settings should not share one blanket permission. Test attempts to read another clinic’s data as well as valid actions. Callidus uses Firebase and Firestore; describing that work as Postgres Row-Level Security would be inaccurate.
Define who supplies consent wording, how records are corrected, what is retained, and who approves access. Software controls support these requirements, but a framework or database choice does not establish regulatory compliance. The clinic and its advisers must define the applicable obligations for the engagement.
The Callidus OS case study covers the rebuilt platform, staff roles, booking widget, Stripe Connect and handover. Bring the workflow you need changed and the systems it touches; the first deliverable can then be scoped around an operational result rather than a generic healthcare feature list.