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Hire Software Developer for Healthcare Clinics
Senior, direct, no layers

Hire a Software developer for healthcare clinics: custom software for scheduling, intake, and internal tools for healthcare clinics.

Senior-only
Delivery
Direct
Communication
Fixed scope
Agreed first
Documented
Handover
Healthcare Clinics — Software Developer

A senior Software developer for healthcare clinics

A general healthcare clinic is a coordination problem as much as a clinical one. Patients arrive with chronic conditions that need follow-up, referrals that need letters and chasing, clinicians with different diaries and specialities, and results that arrive after the consultation that ordered them. When referrals live in a pile, follow-ups in a diary, and results in a portal, a patient can wait months for a referral nobody chased, and nobody can say at which step the wait began.

This engagement builds one clinic's own system: patients, clinicians, referrals, follow-ups, and results for that clinic alone, not a product sold to other clinics and not a public booking site. It is deliberately distinct from dental and veterinary systems: its centre is the general patient journey across clinicians and specialities, with referral letters, chronic-care recalls, and result follow-up as the core records. Existing clinical systems are integrated where they already work; this build fills the coordination gaps they leave.

The most telling first slice is referral tracking, because an unchased referral is the failure patients feel most. Book a free discovery call and the fit is tested on a set of real referrals at different stages, with the clinic team describing where each one currently stalls.

Clinicians, referrals, and follow-up

What a general clinic's own system has to coordinate

  • Patient journeys across clinicians — Each patient holds their consultations, referrals, results, and follow-ups in one journey, so a clinician seeing a patient for the first time reads the story across specialities, not just the last visit.
  • Referral letters tracked to outcome — Referrals are recorded from letter to appointment to outcome, with waiting time visible, so a referral that has stalled is visible as stalled, not simply old.
  • Chronic-care recalls generated from the record — Long-term conditions generate review due lists per patient, so follow-up is driven by the record rather than by a clinician remembering to rebook.
  • Results attached to the consultation that ordered them — Lab and imaging results link to the ordering consultation and the patient, with outstanding results listed, so a result is never a document waiting in a portal.
  • Multi-clinician diaries that share one view — Clinicians with different appointment types and durations share one diary structure, so cover, handover, and room use are planned from the same view.
  • Billing and coding tied to consultations — Charges and coding attach to the consultation they belong to, so a billing query starts from the visit, not from a separate finance file.
How it fits clinic work

Built for multi-clinician diaries and referral letters

Clinic work involves sensitive data and many hands, so access is set by role and by team, access is logged, and clinical notes keep a correction history. The diary is built for the reality of clinic work: urgent slots, double-booked cover, and consultations that overrun, so moving an appointment shows its referral and follow-up consequences. Referral chasing is treated as work with an owner and a due date, because a referral without an owner is a referral that will wait.

The pilot runs on referrals alone, or on one clinic team's diary, with existing systems kept alongside until the new record matches reality. The clinic owns the code, the data, and the hosting, and patient records export in a form the clinic controls, subject to its own data obligations.

The order of work

From referral piles to one patient journey

  1. Trace referrals that waited too long

    A set of real referrals, including ones that stalled, is traced from letter to outcome, and every step where ownership was unclear is noted.

  2. Define patient, referral, and follow-up records

    What a patient journey holds, how referrals move through stages, and how recalls are generated are agreed before building.

  3. Put referral tracking live first

    Referral stages and waiting-time visibility go live on real referrals, and the test is whether stalled referrals are visible while they can still be chased.

  4. Add diaries, recalls, and results

    Multi-clinician diaries, chronic-care recalls, and result follow-up follow once referrals are trusted, and handover leaves documented code and data.

Realistic outcomes

What changes, and what it depends on

When the system works, the clinic stops losing patients between services. Referrals are chased because they are visible with owners, results are followed because outstanding results are listed, and chronic-care reviews happen because the record generates them. Cover becomes easier too: a clinician picking up a colleague's patients reads complete journeys, including the referrals and results that are still open.

Why Omer

Why hire Omer

  • Referrals with owners and stages: Every referral has a stage, an owner, and a waiting time, so a stalled referral is a visible task, not an old letter.
  • Journeys across specialities: A patient's story reads across clinicians, so a new clinician starts from the whole journey.
  • Follow-up generated, not remembered: Chronic-care reviews and result chases come from lists the record produces.
  • Diary moves that show consequences: Rescheduling shows referral and follow-up effects, so a moved appointment does not silently break a plan.
  • Clinic-owned patient records: Code, data, and hosting belong to the clinic, and records export under the clinic's control.
FAQ

Questions, answered

How is this different from a dental or veterinary system?
Those systems centre on teeth and treatment plans, or on animals, species, and weights. This system centres on the general patient journey across clinicians: referrals, chronic-care follow-up, and result chasing, which are the coordination problems a general clinic actually faces.
Does this replace our electronic health record?
Not where that record already works. It integrates with the clinic's existing clinical systems and fills the coordination gaps they leave, such as referral tracking and follow-up control, rather than forcing a wholesale replacement.
How are outstanding results handled?
Results link to the consultation that ordered them, and results that have not arrived or have not been reviewed appear on an outstanding list with an owner, so a result cannot sit unread in a portal while the patient waits.
What about patient confidentiality across teams?
Access is set by role and team, sensitive records are restricted by default, and access is logged. The clinic sets the policy; the system enforces it, and data lives in the clinic's own accounts.
Can patients book appointments through this?
Online booking, where the clinic wants it, is a view onto the diary, not the system itself. This build is the clinic's coordination record; a booking page feeds it rather than replacing it.
Currently available for select engagements

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