Solutions / Reporting & Analytics
Reporting & Analytics
The reports a practice owner and a biller actually need, built from the claim data underneath.
Two people need reports and they are not the same reports. The owner wants to know whether collections are holding and which payer is slipping. The biller needs a worklist. Most systems serve one and bury the other. Both are built here, from the same claim data, so they never disagree.
How the AI works
- 01
Standard set, ready
AR ageing, denial mix, payer performance, net collection rate and provider productivity, without a build project.
- 02
Drills to the claim
Any number opens to the claims it is made of. A report you cannot audit is a report you cannot trust.
- 03
Scheduled and sent
Delivered on a schedule to the people who need them, rather than waiting to be pulled by someone who remembers to.
Humans in the loop. By architecture.
Where a metric depends on data we do not have — a contracted rate, a full remittance history — the report says so rather than presenting a confident number built on a gap.
Questions, answered
Which RCM reports actually matter?+
Net collection rate, days in AR, AR over 90 days as a share of total, denial rate by payer and by reason, and clean claim rate. Most other reports are these five cut a different way.
Can we export to Excel?+
Yes, and the export includes the claim-level rows behind the summary rather than only the summary.
Can we get a report we design ourselves?+
Yes. The standard set covers the common questions; anything specific to how you run gets built rather than approximated.
More of the engine:AI Medical Coding,AI Claim Review,AI Documentation,AI Workflow Automation,Staff Augmentation,Business Process Outsourcing,Automation Services,GetMax RCM Platform,AI Coding Assistant,Denial Analytics,Practice Dashboard,Revenue Intelligence,Patient Eligibility Platform,Claims Management
Book a Demo