Choosing Speech Therapy Software in South Africa

Some clinics think they have a note-writing problem and later realize they really have a note-writing problem, a goal tracking problem, and a patient history problem layered together.

Before evaluating tools, map where the operational drag actually lives: capture, drafting, evidence review, correction, approval, export, progress comparison, or caregiver communication. The better the workflow diagnosis, the more useful the pilot criteria become.

Document who performs each step today, which system receives the final record, what information is copied twice, and where clinicians wait for another person or tool. That process map becomes the baseline against which a pilot is judged.

Create three columns before opening vendor pages: required, valuable, and irrelevant. Required items might include clinician approval, specific note formats, patient-level permissions, exports, South African data-processing answers, and support for the devices already used in the clinic.

A long feature list can hide a weak core workflow. Automated reminders or a polished dashboard do not compensate for a note that misses cueing and needs to be rebuilt. Score the task the clinic performs repeatedly before rewarding features it might use occasionally.

Include non-functional needs. Loading reliability, recovery after an interrupted recording, clear error states, accessibility, training effort, support response, and predictable data export can matter as much as the generated text.

Speech therapy sessions include movement, toys, caregiver interjections, overlapping speech, quiet productions, distorted sounds, and targets that are demonstrated visually. Audio quality and clinical context vary even inside the same session.

Ask the vendor to explain what the system can and cannot infer. A responsible product should not turn unspoken eye gaze, posture, tactile cueing, affect, or physiology into confident documentation. It should preserve clinician-reported context and make unsupported details easy to identify.

Test interruption recovery before relying on recording in practice. Confirm what happens if the browser closes, the network drops, the wrong microphone is selected, an upload is duplicated, or processing fails after the patient has left.

A general medical scribe may create readable prose while missing the therapy structure around targets, first attempts, retries, self-corrections, cueing, and task context.

Ask to trace a metric back to the observation or transcript context that produced it. The clinician should be able to correct the draft and approve the final record rather than accept an opaque output.

Bring the clinic's actual note template to the pilot. Check whether the draft preserves subjective attribution, objective denominators, clinical interpretation, and a plan consistent with the treating SLP's judgment. Fluent prose is not the same as a usable clinical record.

If therapists still have to reconstruct accuracy, cueing, and change from old notes, that should matter during evaluation. Progress features are most useful when they are fed by clinician-reviewed records, not treated as an independent automated conclusion.

Ask how the product handles a changed target, different task complexity, missing denominators, and prompted retries. A chart can look authoritative while comparing unlike observations. The clinician should be able to see the session context and correct the source record.

Map the path from approved note to the clinic's official record. Does the clinician copy plain text, export a file, use an integration, or keep RelyCare as the source? Count the manual steps and check whether headings, metrics, and amendments survive the move.

Also test retrieval. A covering SLP should be able to understand prior reviewed sessions without searching across personal messages, downloads, and separate spreadsheets. Confirm how data is exported if the clinic later changes vendors.

Software fit is not only about features. Review where data is processed, what temporary artifacts are created, which operators or subprocessors receive it, what is deleted and when, and whether the clinic can meet its own professional and privacy obligations.

Ask for current operator terms, subprocessor information, incident contacts, cross-border details, retention behavior, and deletion mechanics. Then compare those answers with the clinic's notices, authority for processing, access model, and recordkeeping policy. “POPIA compliant” is not a substitute for that work.

Local fit also includes practical support. Confirm time zones, onboarding, payment and contract terms, data export, connectivity assumptions, and how the vendor handles a change that affects the clinic's workflow.

AI-generated notes can contain omissions or incorrect interpretations. A serious pilot measures correction effort and makes review responsibility explicit.

Test difficult sessions, unclear audio, multiple simultaneous targets, caregiver reports, and cases where a cue is demonstrated visually rather than stated aloud. The product should communicate uncertainty instead of inventing evidence.

Decide who may approve a note and how amendments are handled after approval. A clinic-wide template is useful only if it supports the treating practitioner's judgment rather than forcing every case into identical language.

Invite clinicians with different caseloads and levels of technical confidence. Observe where they hesitate, which evidence they inspect, what they repeatedly correct, and whether the workflow still works at the end of a demanding day.

Measure adoption by completed, reviewed workflows—not accounts created or demonstrations attended. If therapists bypass the tool, determine whether the cause is capture friction, low trust, excessive correction, export work, unclear policy, or insufficient training.

Establish a feedback route during the pilot and name who can change templates or policy. Product problems and clinic process problems require different fixes, and the team needs a way to distinguish them.

Pricing may be per clinician, clinic, recording minute, usage tier, or feature bundle. Ask what happens as the team, session volume, storage, support, or integration needs change. Confirm taxes, currency, contract length, cancellation, export, and implementation charges.

Do not manufacture a return-on-investment figure from an unsourced estimate of hours saved. Use the pilot baseline: time to produce an approved note, correction effort, failed sessions, duplicated entry, and staff adoption. Convert only observed clinic data into a business case.

Use de-identified or appropriately authorized sessions that reflect the clinic's real caseload. Agree on success criteria before the pilot: usable drafts, correction burden, review clarity, export fit, staff adoption, and privacy requirements.

Include the clinicians who will review the drafts. A purchase decision made from a founder demo alone cannot reveal the friction that appears during an ordinary clinic week.

Write a short scorecard before the first session. Record whether the draft identified the right targets, preserved first attempts and retries, attributed caregiver statements correctly, avoided visual inference, supported each metric, and reached the official record with acceptable correction effort.

End with a go, revise, or stop decision. A pilot succeeds when it produces enough evidence to make that decision—not when every participant says the technology felt impressive.