Every ASP-RCM engagement ships a reporting layer, not a monthly PDF. Seventeen of the views below are Power BI models we stand up on your data. The other five are screens from platforms we built and run ourselves: the Reporting Cloud, Credential OS, and the AR Workflow tool. Refresh runs daily, and hourly or faster where the feed supports it.
Nine specialty models. Same spine every time: cash posted, clean claim rate, days in AR, denial rate, payer mix, and a payer performance table you can argue with.
Cash posted month to date against a twelve month trend, payer mix by collections, and a denial breakdown led by expired authorizations and RBT versus BCBA modifier errors. The operations strip tracks authorizations, peer to peer reviews handled in house, CPT 97151 to 97158 volume, and BCBA credentialing turnaround.
ABA billing and RCM services →
Collections month to date, clean claim rate, days in AR, denial rate and medical crossover recovery across the top row, then a revenue mix donut by procedure category and the top denial reasons by share. Below that, claims by status by payer, a days in AR distribution against a 40 day target, and a payer performance table.
Dental billing and RCM services →
Revenue mix by procedure type across cath lab and PCI, echo and imaging, EP study and ablation, and device implant, with denial reasons led by professional and technical split errors and multi procedure modifier problems. Operations tiles cover 26 and TC split verification, device implants, HCC codes captured and cath lab coding.
Cardiology billing and RCM services →
Mohs staging accuracy sits in the KPI row next to clean claim rate and days in AR, and revenue mix splits medical E and M, surgical excision, Mohs micrographic, pathology and cosmetic. Denial reasons are led by modifier 25 misuse, biopsy versus excision coding, and Mohs stage mis billing.
Dermatology billing and RCM services →
Global package tracking runs as its own KPI, with revenue mix across global OB packages, gyn surgery, well woman preventive, OB ultrasound and LARC. Denials are led by global OB miscount, carve outs billed inside the global, and delivery code or VBAC errors, and the operations tiles count global packages tracked, carve outs captured, deliveries coded and LARC devices billed.
OB/GYN billing and RCM services →
Eight minute rule accuracy is tracked as a headline KPI, and the denial panel is led by eight minute rule and unit errors, expired plan of care certifications, and KX modifier or therapy cap issues. Visits by status by payer separates commercial, Medicare, workers comp, Medicaid and auto or PIP.
Physical therapy billing and RCM services →
Revenue per visit sits alongside cash posted and days in AR, with payer mix shown by visit volume rather than dollars. Denial reasons are led by place of service 20 versus 22 errors, modifier 25 misuse and lab to E and M bundling, and the operations tiles count E and M levels audited, bundling dollars recovered and place of service corrections.
Urgent care billing and RCM services →
Authorization continuity and concurrent review on time rate are headline KPIs, and revenue mix breaks by level of care across outpatient, IOP, PHP, residential and telehealth. Denials are led by missed concurrent reviews, level of care overlap and parity underpayment, with operations tiles for level of care transitions, parity recovery and single case agreements negotiated.
Behavioral and mental health billing services →
Proof of delivery on file runs as a compliance KPI next to first pass rate and days in AR, and revenue mix splits respiratory and CPAP, mobility, diabetic supplies, orthotics and wound care. Denials are led by prior authorization gaps, missing proof of delivery, expired CMN or ABN, and exceeded rental caps.
Hospital, community health and charge integrity. Where the money leaks are structural rather than per claim.
DNFB days and case mix index share the KPI row with clean claim rate and audit overturn rate, and days in AR is dollar weighted rather than claim counted. Denials are led by medical necessity and observation, missing authorization, and coding or DRG validation, with operations tiles for concurrent CDI queries, transfer DRGs caught, underpayments flagged, RAC appeals open and two midnight reviews.
Hospital and health system RCM →
PPS qualification rate, wraparound dollars recovered and sliding fee documentation compliance are tracked as first class KPIs, with encounter mix across medical, behavioral health, dental, vision and pharmacy or 340B. Denials are led by state same day rules, PPS encounter qualification and under coded wraparound, and the operations tiles cover UDS data quality, wraparound reconciliation, 340B audit readiness, CMS 222 preparation and FTCA documentation.
FQHC and community health center billing →
This is the billing and volume screen inside our Reporting Cloud, not a Power BI model. It plots converted charges against billed charges month by month with the percent billed line, unbilled dollars sitting at month close, unit count trend and active clinician trend, so documentation lag and charge capture gaps surface before they become write offs.
HIM, coding and CDI services →RAF, RADV and autonomous coding. Every one of these views carries a confidence distribution and a certified coder gate, because accuracy claims without an audit trail are marketing.
Members reviewed with a fourteen day accuracy trend, member chart mix by risk band, and the top HCC categories surfaced across diabetes with complications, CHF, major depression, CKD and vascular. Coding flow splits by plan book across Medicare Advantage, ACA marketplace, D-SNP, C-SNP and group MA, and the accuracy table carries gap dollars and RADV readiness per book.
HCC risk adjustment AI →
RAF lift from documentation and gap closure rate sit next to a certified coder gate on complex cases. Coding flow runs by service line across med surg, ICU and critical care, cardiology, nephrology and pulmonology, and the accuracy table reports RAF lift by chart type from inpatient through observation, ED professional and telehealth.
HCC risk adjustment AI →
Charts coded per day with an accuracy trend, chart mix by specialty, and coding output broken down by component across CPT, ICD-10-CM, HCPCS, modifiers applied and sequencing enforced. The confidence distribution shows the auto post threshold and the certified coder gate, and the table reports accuracy and straight through rate for each of the eight specialties in production.
Autonomous medical coding AI →Screens from the software we built and run. These are the tools, not slideware about the tools.
One view across every model in production: outputs per day, accuracy, the share of complex cases routed to a certified coder, models live and EHR platforms connected. Output mix and the model performance table break out the VOB and eligibility engine, HCC coding, multi specialty coding, denial prediction, insurance discovery, claim status automation and Credential OS.
ASP AI Suite for revenue cycle →
The CFO landing screen in our Reporting Cloud. A written briefing panel, a weighted HFMA and HBMA vendor scorecard, then eight KPI tiles each carrying its own target and trend line across net collection rate, days in AR, initial denial rate, first pass resolution, cost to collect, aged AR over 90 days, clean claim rate and point of service cash.
ASP-RCM technology platform →
The credentialing platform itself. Active providers, compliance rate, credentials expiring inside 30 days and open enrollments up top, an expiring credential list bucketed into critical, warning and watchlist, and a payer enrollment pipeline showing every submission by stage from documents needed through approved.
Provider credentialing and payer enrollment →
The AR follow up tool our callers work in. Total AR, days in AR, first pass yield, AR over 90 days and recoverable underpaid dollars, then a team goal sheet tracking calls made, claims touched and dollars worked against the day's target, with AR aging by bucket and claim status mix underneath.
AR workflow and recoverable dollar triage →
Built from posted remittance data. Initial denial rate, final write off, appeal overturn rate and dollars recovered are each scored against an HFMA or HBMA target, then a CARC Pareto ranks denial reasons, an appeal funnel walks total denials through worked, overturned and cash recovered, and a payer by reason heatmap shows where the denials concentrate.
835 remittance reconciliation →
Real time verification of benefits at volume: checks run today, accuracy, average response time, the share flagged for authorization at intake, hidden coverage found and front end denial dollars prevented. Check outcomes separate active and clean from authorization required, plan change detected, coverage discovered and inactive or terminated, with a P99 response distribution against a two second SLA.
Eligibility and benefits verification AI →
The payer facing view of the same engine at over a million checks a day. Volume and accuracy over fourteen days, payer mix by check volume, denial reasons ranked by volume, check flow by processing stage, a millisecond P99 distribution against a 500ms SLA, and a payer table reporting accuracy, response and coverage match for each.
Eligibility and benefits verification AI →