Recovery Center
Surface the signals that matter across fragmented clinic data and prioritize patients who need review.
Explore the demo →Unified clinical intelligence
Turn patient signals into recovery action.
iQlinic unifies data, context and intelligence across the care journey so your team can spot emerging drop-off, understand the reason, and choose the next action sooner.
Works alongside existing softwareRead-only first where supportedHuman-in-the-loop decisions
iQlinicSearch patients, records, events...SYNTHETIC PREVIEW
Recovery Signals7D trend
82
Recovery ScoreReview needed
Engagement+12%
Next visitMissing
Care gap21 days
RiskHigh
View signals →Patient Context360
1042Sample patientSynthetic record · implant
Last visit21 days ago
Treatment planOpen · next step missing
PaymentQuestion unresolved
Follow-upNo replacement action
Next Best ActionExplainable
High priorityResolve the payment blocker, then schedule a follow-up.
Suggested from the open plan, a 21-day gap and an unanswered payment message.
Why this action? →Patient 360
Bring appointments, treatment, payment and follow-up into one decision-ready patient context.
See how context is built →Next Best Action
Move from an opaque alert to an explainable recommendation the team can accept, challenge or escalate.
Product details →The problem between systems
Patient drop-off begins before it becomes obvious.
A cancellation is only one clue. An open treatment plan, no next appointment, an unusual delay, an unresolved payment question or a broken follow-up chain can mean something different when seen together.
Fragmented context
Decision-relevant information is distributed across appointments, treatment, payments and communications.
Reactive follow-up
Teams often notice the problem after the patient has already been inactive for too long.
Unclear priority
A long call list does not tell the team who deserves attention today, or why.
A decision layer, not another PMS
The product should tell the team what deserves review now.
iQlinic is not designed to rebuild records, billing or scheduling. It turns existing operational events into decision-ready context.
Recovery Intelligence
- Combine multiple signals instead of one simple ruleRisk is not built from recency alone.
- Explain why every signal existsThe team can understand and challenge the suggestion.
- Focus on continuity of careSee friction before full disengagement.
Human in the loop
- Recommend rather than auto-decideThe clinic team keeps final control.
- Start narrowly and read-onlyWhere the source system and permissions support it.
- Record outcomes for learningUseful and unhelpful signals should both be measurable.
From data to action
Four steps, without black-box theater.
Connect & map
Understand the source system, workflow and data quality before deployment.
Build Patient 360
Bring relevant events together into context that can support a decision.
Generate signals
Flag care gaps and follow-up needs with visible reasons.
04
Act, measure, review
The team reviews the suggestion, makes the final decision and records the result for the next cycle.
Evidence before claims
Motion is for experience. Real numbers must come from a pilot.
Everything in the public preview is synthetic. Real impact can only be claimed after a clinic baseline, controlled measurement and an agreed evaluation plan.
What should a pilot measure?
Recovery opportunityHow many signals are genuinely actionable?
Action completionHow often does the team complete prioritized actions?
Return / continuationWhat changes after the intervention?
False-positive reviewWhich signals were not useful, and why?
Does iQlinic replace clinic management software?
No. The focus is the intelligence and decision layer while the existing operational system stays in place.
Does the public demo use real patient data?
No. Every patient, number and event in the public demo is synthetic.
Can every clinic connect immediately?
No. Integration depends on the source system, permissions, data quality and technical constraints.
Start with feasibility
See what your clinic data can actually support.
Choose one workflow, define the minimum data required, and agree on exactly what a controlled pilot needs to prove.
Designed for data-driven clinicsREAD-ONLY FIRSTEXPLAINABLE SIGNALSHUMAN REVIEWMEASURABLE PILOT