SportsFirst

Return to Play Software for Athlete Rehabilitation

Internal dashboardWorkflow application4-6 week first releaseTest or simulate

Return to play software that lets sports medicine and performance teams compare different rehabilitation load progressions against athlete history and agreed protocol milestones before selecting a pathway.

Problem

A rehab progression plan usually lives in a spreadsheet the physio and strength coach edit together, sketching out how training volume should climb back toward normal over several weeks. The ramp rate is chosen by feel: a bit more this week, hold if the athlete reports soreness. Nobody can see, before the plan is agreed, how a faster ramp compares to a slower one against the athlete's own pre-injury load or the thresholds in the return-to-play protocol. The plan gets signed off in a meeting, then a missed session or a cautious physio note forces it to be renegotiated over a messaging thread, one week at a time, with no record of which options were considered or why one was chosen over another.

Product idea

A planning tool where a physio or strength coach enters the athlete's baseline load history and the milestones in the return-to-play protocol, then builds two or three progression pathways side by side: conservative, standard, accelerated. Each pathway shows the resulting daily and weekly load curve, the acute to chronic ratio it implies, and where it crosses the athlete's own tolerance thresholds, before anyone commits to a return date. Pathways that breach a protocol limit are flagged rather than blocked. The tool does not decide when an athlete is fit to return; that stays a clinical judgement. It exists to make the load consequence of each option visible in the room, so the plan agreed in the meeting is the one actually chosen rather than the first one sketched.

Where the AI agent does the work

The pathway engine does the modelling that today gets sketched by feel: it takes the athlete's baseline load and the protocol milestones and works out the resulting load curve and threshold crossings for each candidate ramp rate, side by side, before anyone signs off a return date. The problem this replaces is a plan renegotiated one week at a time over a messaging thread after a missed session, with no record of which options were considered or why. Seeing conservative, standard and accelerated against the same thresholds in the sign-off meeting means the plan agreed there is the one actually chosen, not the first version sketched on a spreadsheet.

Roles involved
Head of Performance, Sports scientist, Strength & conditioning coach
Relevant to
Professional club, Collegiate athletics, Academy & youth, Women's league
Systems in play
Spreadsheets, Athlete management systems, Medical and injury records

A proposal worked through in full

A different problem, taken all the way to architecture, standards and a phased delivery plan — the level of detail any idea here can be developed to.

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Returning an athlete to full training is rarely one jump from rehabilitation to competition.

Performance and medical staff may progressively rebuild training volume, running exposure, high-speed running, sport-specific activity, team participation and competition exposure.

The progression is often planned collaboratively across medical, S&C and performance teams. This proposed return to play software helps those teams compare different workload pathways before agreeing on the plan.

Compare return-to-play pathways

Staff enter the athlete baseline workload, the current rehabilitation stage, protocol milestones, planned training exposure and athlete-specific thresholds.

They can then create several return to sport planning scenarios. A conservative pathway progresses more slowly over more weeks. A standard pathway follows the existing planned progression. An accelerated pathway rebuilds workload faster.

Each pathway displays the projected workload curve against the athlete's own baseline and the thresholds configured by the medical and performance team.

Track the pathway, not only plan it

Choosing a pathway is the start. The rest of the lifecycle is plan, track, reassess, progress, return, and most of it happens after the planning meeting has finished.

Rehabilitation plans may be well documented inside medical files or individual spreadsheets, and the wider performance team can still struggle to answer what stage the athlete is actually at today.

Each athlete in rehabilitation carries a record showing:

  • Current rehab stage
  • Date the stage started
  • Next milestone
  • Reassessment date
  • Assigned owner
  • Days remaining or overdue
  • Current status

The organisation defines its own stages and expected durations, and the platform monitors whether the next planned reassessment has happened. A milestone that becomes overdue without an update moves from on track, to due soon, to overdue, and the responsible physio, sports scientist or Head of Performance is notified.

That makes return to play tracking visible across the performance team instead of leaving the timeline inside one person's diary. It does not determine whether an athlete has passed a milestone or is cleared to return. Those decisions stay with qualified medical staff.

Rehabilitation planning, not medical clearance

This is an important distinction.

The athlete rehabilitation software does not determine whether an athlete is medically ready to return. A return-to-sport decision can involve physical, medical, functional and psychological considerations beyond training load alone.

The platform models, compares and flags. It does not diagnose, clear or prescribe. A pathway crossing an internal threshold is flagged for discussion rather than automatically rejected.

How it works

1. Import baseline load

Upload the athlete's pre-injury or relevant historical workload.

2. Enter protocol milestones

Add the milestones already agreed by medical and performance staff.

3. Create progression pathways

Adjust weekly or daily workload across two or three options.

4. Compare scenarios

Review projected workload, progression and threshold crossings.

5. Export the agreed plan

Generate a report for the return-to-play planning meeting.

First release

A four to six week first version could include single-athlete planning, historical load upload, return-to-play milestones, configurable thresholds, two or three rehab pathways, daily and weekly load curves, side-by-side comparison, threshold flags and a PDF plan export.

It would not include live GPS integration, clinical recommendations, automatic clearance or automatic modification as sessions are completed.

The opportunity

Broader sports rehabilitation software and return to play management systems can track injuries, treatment and rehabilitation.

This proposal focuses on one specific planning question: how would different rehabilitation progressions change this athlete's workload before we agree on the return pathway?

That gives medical and performance teams a shared scenario view while keeping the actual return-to-play decision exactly where it belongs, with qualified staff.

Questions we get asked

What data do we need to have ready before we can try this?

Baseline load history for the athlete, in whatever export format your GPS or athlete management system already produces, and the milestones and thresholds set out in your return-to-play protocol. Version one accepts both as a manual upload rather than a live feed, so a session's worth of historical data is enough to build and compare pathways. Nothing needs to be connected to a live system to see the tool working.

We already plan rehab ramps in a spreadsheet. Why change that?

The spreadsheet is not the problem, the lack of comparison is. Most spreadsheets show one pathway, the one somebody already chose, rather than two or three side by side against the athlete's own thresholds. If your team is already good at building that comparison by hand, this saves time rather than changing the decision. If two people currently argue past each other about ramp rate in a meeting, this gives them a shared chart to argue over instead.

Does this make the return-to-play decision for us?

No. It shows the load consequence of a pathway; it does not judge whether an athlete is clinically fit to return. A pathway that breaches a threshold is flagged, not blocked, because there are legitimate clinical reasons to accept that risk in a given case. The return-to-play decision stays with medical staff. This tool exists to make sure that decision is made with the load picture in front of everyone, not after.

What happens when the athlete's actual sessions stop matching the plan?

Version one does not update automatically. It is a planning tool used before a pathway is agreed, not a live tracker of what actually happened, so once training starts, deviations from the plan are picked up wherever your team already reviews delivered load. A later version could compare planned against delivered inside the same tool. Version one deliberately keeps those separate, so the planning step gets built and proven before that additional data connection is worth taking on.

Is this your workflow?

Tell us one sports workflow that still runs on paper, spreadsheets, WhatsApp or an outdated system. We will map it and show you what a simpler product looks like.

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