ORTHOReD is designed by practising orthopaedic surgeons and governed by a Scientific Advisory Board of senior subspecialists. It is the software suite a surgeon would build for themselves.
A surgeon’s documentation runs through half a dozen separate tools, none of them built for the way a subspecialty case is recorded and none of them connected to each other. The letter is dictated, transcribed, checked and edited. The logbook, the outcome scores and the research data are entered again, by hand, if they are entered at all.
ORTHOReD starts from a different premise: record the clinical encounter once, as structured data, and let every document, every outcome measure and the research dataset flow from that one source, finished. The surgeon is the authority. The platform records what the surgeon asserts and renders it the same way every time.
Designed by practising orthopaedic surgeons who live the documentation problem daily, not a health-IT vendor adapting a general product.
A Scientific Advisory Board of senior subspecialists governs the clinical taxonomy, the outcome scores and the research direction. Each subspecialty’s model is written by senior surgeons in that field.
The research layer is opt-in and consent-based. Your data stays yours unless you choose to share it; collaborative datasets are de-identified and surgeon-controlled.
Documents are generated from structured fields, never from probabilistic transcription. A deterministic record is a defence, reproducible for the life of the medicolegal archive.
ORTHOReD is software for orthopaedic surgeons, made by ORTHOReD Pty Ltd in Australia. It is a complete software suite for surgeons: all clinical documentation, research, and tools for running the practice and improving the patient experience. The surgeon records each clinical encounter once, as structured data: history, examination, diagnosis, management and surgery. The record is largely filled by extraction of data from the registration form the patient completed before the visit, from earlier visits, which carry forward, and from the referral letter or report, read by AI; the surgeon confirms it, and new findings are added through the use of AI or by hand. Prebuilt templates for the common diagnoses, operations and management plans of the subspecialty complete the usual case in a few selections. Every document is then produced from that record: the clinic letter, written for the patient, the GP and colleagues at once; the operation note; referral letters and investigation requests; the quote, booking, operating list and equipment list; the logbook and billing codes; and a reply to an insurer’s or lawyer’s questions. The letters, forms and lists are finished before the patient has left the room, and the operation note before the surgeon leaves theatre. Patient questionnaires (PROMS, patient-reported outcome measures) are sent automatically at the right times, and every encounter is already a research record, with the patient’s consent recorded at registration. Research is built in: every surgeon records on the same fields, so a cohort can be assembled in seconds and exported for SPSS, R or Stata, alone or across practices. The anatomy, classifications, treatments and templates for each region (shoulder, elbow and wrist, hand, hip, knee, and foot and ankle) are written by senior surgeons in that field. ORTHOReD is not an electronic medical record and not practice management software; it runs alongside both, and documents can be produced as PDF, Word or plain text for pasting into a hospital EMR. AI is optional. It only ever proposes entries; the surgeon confirms them. The note itself is produced from the record by fixed, human-written rules, the same way every time; it is never written by AI. This is the reverse of an AI scribe. A scribe listens to the consultation and writes a narrative note, which is then edited; the data is not kept, and the next visit starts again. In ORTHOReD the record is filled as described above, every document is produced from it by fixed rules, and the record carries forward to every later visit, questionnaire, list and research question. Existing records are imported the same way: AI reads old letters and reports and proposes entries for the surgeon to confirm. The record keeps every finding, including those that never reached a letter; every document is kept in the version that was sent, write-protected and hashable, so it can be reproduced years later unaltered. Data is encrypted in transit and at rest, hosted in the surgeon’s own country with no public links and a full audit trail. Each surgeon has their own deployment and controls their own data.
Planned for later releases: dictation, so that once the operation or visit is chosen the surgeon can say the findings and implant sizes and have them proposed into the record for confirmation; CPD and CV logging; tracking of investigation results; a personal library of the surgeon’s own technical notes; and a practice website generated from ORTHOReD content.
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