One Data Hub. Eight sections. 60+ datasets. Every report reviewed.

The platform handles translation, organization and analysis. Our analysts and statisticians handle review. Your program keeps the judgment.

The seven-step workflow.

LMS exports Preceptor evals Course evals Surveys PACKRAT / EOR Vendor reports Spreadsheets ONE DATA HUB ABCDEFGH Analysts and statisticians review every output 60+ report-ready outputs each with a written Analytical Summary

Collect

  1. Identify and collect your raw data source files

    Pull cohort data from wherever it already sits: LMS exports, vendor reports, preceptor evaluations, surveys, spreadsheets. There is no new system of record, no integration to configure and no wait on IT.

  2. Upload into the Edulytic Data Hub

    Files land in eight standard sections built to ARC-PA reporting expectations, so cohorts and years stay comparable.

Translate and review

  1. AI translates and validates

    Incoming files are translated into consistent structures. Validation checks formatting, finds missing or inconsistent fields, and flags anomalies before they reach a report.

  2. Analyst and statistician oversight

    Analysts and statisticians review both the incoming data and the outputs. They are the MACS consulting team, the same people behind the platform.

Deliver and repeat

  1. Reports and Analytical Summaries produced

    Every report ships with an Analytical Summary: a written reading of what the data shows, which trends matter, and what they may mean.

  2. Export and use in your accreditation workflow

    Outputs export in formats matched to each report type. They go into your SSR drafts and committee packets as they are.

  3. Repeat the cycle, cohort by cohort, year after year

    New data goes in each term and the workflow repeats, building a trend record and audit-ready evidence across cycles.

Aligned to how ARC-PA evaluates your program.

The Data Hub sorts your program data into eight sections that follow ARC-PA’s own evaluation structure. Sections A through H match how reviewers read a program. Upload once, and cohorts and years stay comparable.

  1. Section A

    Program High-Level Information

    Program identity, enrollment, and structural data.

  2. Section B

    Administrative Aspects of Program & Institutional Resources

    Policy, governance, institutional resources, and operational reporting.

  3. Section C

    Effectiveness of Didactic Curriculum

    Course and instructor evaluations, final didactic grades, and remediation policy.

  4. Section D

    Effectiveness of Clinical Curriculum

    Site and preceptor evaluations, final clinical grades, and clinical-year remediation policy.

  5. Section E

    Preparation of Graduates to Achieve Program-Defined Competencies

    Competency tracking, summative evaluation, and exit surveys.

  6. Section F

    PANCE Performance

    NCCPA PANCE Performance Summary Report, attrition, PACKRAT 1 and 2, EOR and EOC scores. The outcomes ARC-PA reads most closely.

  7. Section G

    Sufficiency and Effectiveness of Principal and Instructional Faculty and Staff

    Faculty-student ratios, sufficiency surveys, and workload documentation. Maps to the Sixth Edition sufficiency standard.

  8. Section H

    Success in Meeting Program’s Goals

    Goal-by-goal tracking against program-defined benchmarks.

Analytical Summary

Every report ships with a written interpretation of what it shows.

Most analytics platforms produce dashboards. A dashboard gives you the numbers and leaves the reading of them to someone on your team.

Edulytic produces the dashboards and the Analytical Summary. Every report carries a written reading of the results, the trends across cohorts, and what they may mean for the program. The platform drafts it. Analysts and statisticians review it.

Your Assessment Director no longer writes that narrative from scratch the night before a committee meeting. It arrives with the report.

Predictive PANCE Analytics

Earlier visibility into which cohorts may signal risk.

Most early-alert systems flag a student once the grade is in and the intervention is harder. Predicted PANCE Risk Scores read PACKRAT, EOR, course outcomes and historical PANCE data to surface the pattern earlier in the cohort.

That is early enough to act on, rather than after the cohort has graduated or the PANCE report comes back below benchmark.

Self-Study Report support

Made to feed the SSR as well as track outcomes.

The outputs are built for ARC-PA reporting, the Self-Study Report included. The cohort trend record, the Analytical Summaries and the audit-ready evidence across cycles are what an SSR draws on.

Parts of the SSR sit outside the platform and your program will write them. Edulytic does not replace internal decision-making, committee review or institutional accountability. It replaces the data handling that crowds them out.

Faculty sufficiency under the Sixth Edition

When faculty time stops going to spreadsheets, faculty sufficiency improves.

The Sixth Edition sets explicit requirements for faculty workload and sufficiency. Section G of the Data Hub maps to that standard.

Hours a faculty member no longer spends collating data and assembling reports also come off the workload documentation, and that documentation is what the sufficiency standard gets read against.

Fifth and Sixth Edition alignment

Reporting outputs aligned to both editions.

Outputs are aligned to both the Fifth Edition and the Sixth. The Data Hub structure, the report library and the Analytical Summaries carry a program through the transition without a rebuild when the standards shift.

What we don’t do.

Edulytic does not replace your program’s internal decision-making or committee review. It does not remove your responsibility for oversight and documentation. It is not a general analytics platform retrofitted for PA programs.

See it on your program’s data.

Thirty minutes with the Edulytic team. We can work from a sample dataset, or from a recent reporting cycle of yours to see it on real structure.