Audit everything.
Miss nothing.

It reviews travel, meal and entertainment spend submitted by field and commercial teams against company policy and healthcare compliance rules, since HCP-related meals, travel and hospitality are both a fraud risk and reportable spend under laws like the Sunshine Act. qordata's EMA runs that review automatically on every expense report instead of a manual sample.

Sampling only ever reviews a fraction of reports and approves the rest unseen, which is exactly where fraud and policy violations hide: errors in the unreviewed majority go undetected, risks are caught too late, and teams waste time on low-risk expenses. The strongest approach is auditing 100% of expense reports with configurable compliance rules and AI-driven intelligence. qordata's EMA does this with consistent, rules-based checks, so nothing gets approved simply because nobody happened to open it.

Yes. qordata's EMA flags incomplete or inconsistent data and missing documentation as reports come in, before that spend flows into disclosure data, improving data quality upstream instead of catching the same issue during a year-end scramble.

qordata's EMA analyzes receipts, sign-in sheets and other supporting documents together with AI, extracting and validating the data on them, matching each expense to its supporting evidence, and flagging documents that appear altered or suspicious, rather than relying on manual visual review or just checking whether a number falls under a spending cap.

qordata's EMA looks past isolated rule checks at duplicates, misclassified expenses, prohibited spending and suspicious patterns, and distinguishes repeat offenders from one-off honest mistakes based on behavior across reports, not just a single flagged line. That lets compliance teams respond proportionately, targeting training or intervention where it is needed instead of treating every flag the same way.

No. qordata's EMA classifies findings by severity with clear audit observations, tracks actions through to resolution, and auto-approves expenses that are clean, so reviewers spend time only on what is genuinely flagged as risk and can work on the most critical issues first instead of re-checking every compliant report.

Yes. qordata's EMA lets you ask questions about expense data in plain language and get instant trend analysis, summaries and reporting, rather than waiting on a manual data pull, producing clean, audit-ready data that flows straight into transparency reporting.

Yes. qordata's EMA uses contextual expense validation, analyzing HCP expenses in relation to each other rather than in isolation. It flags mismatches between travel, location and reported spend, logically inconsistent transactions, duplicates, misclassified expenses, prohibited spending and other hidden anomalies that a rule checking one line item at a time would never catch.

Yes. qordata's EMA integrates directly with SAP Concur and other travel and expense systems to pull every report for automated review, and carries ISO 27001 certification and AICPA attestation. When evaluating any HCP expense auditing vendor, alignment with standards such as AICPA and ISO 27001 is a reasonable baseline, alongside integration support for systems like SAP Concur.

Leading options use AI and configurable compliance rules to automatically review 100% of healthcare-professional-related expense reports, rather than a manual sample, detecting policy violations, fraud, duplicates, and misclassified spend before it becomes a compliance issue. qordata's EMA (Expense Monitoring & Auditing) is built around this approach.

Yes. By reviewing every report automatically instead of a manual sample, and approving reports that pass all rule and AI checks instantly, automation eliminates most manual review effort. Compliance teams spend time only on flagged, high-risk transactions, which lowers overall audit costs.

Yes, this is a common requirement. Expense auditing needs to be configurable to a company's own travel and expense policies per region, detect violations across geographies, and support multi-language and multi-country expense analysis rather than applying one fixed rule set everywhere.

Examples include duplicate submissions, misclassified spend categories, prohibited or out-of-policy purchases, and mismatches between travel, location, and reported spend.

One alternative is running expense auditing as part of a broader compliance platform rather than as an isolated point tool; qordata's EMA, for example, is a core module within its Compliance Central platform, sharing the same compliance ecosystem and data. Another is general pharma audit-management software, but those platforms are typically built for quality, GxP or regulatory process audits rather than HCP expense compliance. Purpose-built HCP expense auditing tools, such as qordata's EMA, instead audit every expense report for policy violations, fraud and Sunshine-Act-relevant spend.

Clean, audit-ready expense data produced by expense monitoring directly supports transparency reporting workflows, helping keep CMS and state spend reports accurate rather than treating auditing and reporting as separate, disconnected processes.

Meals, entertainment, gifts, and travel provided to HCPs are among the forms of remuneration examined under the Anti-Kickback Statute, especially when their value, frequency, or context suggests they're intended to influence prescribing rather than support a legitimate business purpose. This is one of the reasons auditing every expense report, rather than a sample, matters.

It can, indirectly. If HCP expense violations turn out to be part of a kickback arrangement, and claims to a federal healthcare program result from that arrangement, the Anti-Kickback Statute treats those claims as false claims under the False Claims Act. Catching irregular HCP spend early reduces this downstream exposure.