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Predictive Analytics or Provider Profiling? Call it what you want, is your agency being monitored by CMS and/or state Medicaid etal? And, have you directly triggered an alert? Or, are physicians that sign orders for your agency patients being investigated?
Should you be aware that your agency could trigger a PPS RAC, MAC, or Z-PIC audit and that a related party or a referral source under review could trigger an audit of your agency? Yes, that could be a reality.
CMS and related agencies are using predictive analytics to identify aberrant care delivery and utilization patterns for PPS. At the time the claim is dropped, an assessment of multiple patient factors is conducted. These factors may include diagnoses, frequency, and disciplines involved in care. Your agency practice patterns are now being compared to peer groups and may include a comparison to validated benchmarks. Physicians who refer to your agency may be having their practice patterns monitored also, especially if the payor source is Medicaid.
The Surveillance and Utilization Review Subsystem (SURS) is responsible for monitoring claims process for Medicaid, seeking indicators of fraud. They look for duplicate, inconsistent, or excessive visits in relation to diagnoses and visits provided in State systems.
Section 456.25 of Title 42, Code of Federal Regulations writes that “States are required to have a post-payment review process that allows State personnel to develop and review: (1) recipient utilization profiles, (2) provider service profiles, (3) exception criteria; and (4) identifies exceptions so that the agency can correct misutilization practices of recipients and providers.”
No two state Medicaid systems are the same, thus, there are a variety of post- payment review SUR systems. Some state systems are routinely using tools that can statistically use random sampling with extrapolation for provider reviews. This allows the auditor to identify a current trend and apply the findings retrospectively for a specific past time point. Recoupment dollars can add up quickly using this methodology.
The SURS are also using tools that flag inconsistencies and over-utilization of visits in relation to care delivered at those visits. At times, they may be focusing on specific discipline practices.
States have different practices. Personnel in the New Hampshire Surveillance and Utilization Review Subsystem (SURS) monitor financial claims for the NH Medicaid plan. SURS review provider claims for fraud, waste or abuse and may refer cases under suspicion to the Medicaid Fraud Unit of the State Attorney General.
The unit also recovers overpayments by using predictive analysis algorithms that search its data warehouse for aberrant claim information. “In addition, SURS in New Hampshire also conducts reviews to determine if recipients are inappropriately using certain types of medications.” This can trigger other areas of investigative need.
Some states are querying relational databases which provide flexible and easy access to years of paid claims and the ability to query real time data along with trending patterns and profiles.
The SURS also use exception profiling as a starting point for case development. Ranked reports can quickly identify outliers. A sample profile might include the following elements:
-Average patients per agency
-Average reimbursement per agency
-Average disciplines per patient
-Average diagnoses per patient
-Average number of patients with labs
-Average number of patients with injections
-Evidence of upcoding
-Evidence of downcoding
Medicaid is monitoring payment for care and now closely monitoring physician practices. Agencies need to be certain that they strictly adhere to the regulations for care provision. A physician who is being monitored now can bring review and audits to those for whom he or she may provide referrals.
Compliance risks have always existed. But now, agencies need to expand those risk mitigation practices to their referral sources as well as their marketing departments. Be certain you and your referral source philosophies are similar.
Quality oriented physicians are also seeking agencies with like philosophies. They too want to improve the patient transition of care. The bad press regarding 78 Texas home health agencies and the linked Texas physician has raised some physicians concerns nationally re this industry.
Showcase your agency quality programs and excellent outcomes.
That well-stated philosophy and agency culture exhibited through employee conversation, patient care, and marketing materials tells all stakeholders involved that your agency strives to be a quality-oriented care delivery provider.Tags: Coding, Compliance, Home Care, Home Health Software, MACs, MICs, RACs, Select Data, Z-PICs