Dental clinic AI for patient recoveryYour clinic’s data, turned into better decisions
iQlinic sits on top of the system your clinic already uses (read-only), turns scattered data into actionable insight, and tells the team exactly what to do, for whom, and why.
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.
Dental clinic AI in practice
What does dental clinic AI actually do?
iQlinic runs read-only on top of your existing practice software, on the clinic’s own server. Data that is scattered across records today becomes six daily outputs:
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.
01
Connect & map
Understand the source system, workflow and data quality before deployment.
02
Build Patient 360
Bring relevant events together into context that can support a decision.
03
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?
Frequently asked
Questions clinic owners ask us.
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.
What does dental clinic AI actually do?
It reads the clinic’s appointment, treatment and payment data and shows every day which patient needs follow-up, which slot is better for the patient and the clinic, and where revenue is leaking; the team makes the final call.
Which practice software does iQlinic connect to?
A read-only connector for Rozaneh, a widely used dental practice system in Iran, runs in our pilot clinic. Other systems start with a feasibility review of access and data quality.
Does patient data leave the clinic?
No. iQlinic is installed on the clinic’s own server, reads only, and never changes the clinic database.
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.
INTELLIGENT CLINICAL OPERATIONS