Audit Analytics in Healthcare
Intelligent Healthcare Analytics
Harnessing the power of analytics to drive better results is an on-going challenge for audit, compliance and fraud investigation groups. Here are some examples of how analytics are being used in healthcare.
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Patient Billing, Accounts Receivable & Managed Care
• Recalculate bad debt and contractor allowance reserves
• Age receivables on date-of-service vs. invoice date to recalculate cash flow
• Age service billing dates to assess timely collections and write-offs
• Analyze rejected payments by financial class, procedure code, cost center
• Calculate average days from discharge to bill, bill to payment, by payor or department
• Calculate days in accounts receivable
• Calculate reimbursement percentages by payer
• Compare date-of-service to invoice date to identify opportunities to re-engineer charge processing
• Compare detailed aging of receivables to timing cycle required by Medicare to identify opportunities for improvements in charge processing
• Determine appropriate level of doubtful accounts reserves
• Determine average billing amount by financial class or cost center
• Determine average number of days from invoice to payment by financial class -
Pharmacy
- Analysis of payroll records for higher risk employees (nurses, pharmacists, etc.).
- Identify employees who have not taken a vacation for an extended period of time. Risk: Don’t want to be away from work because of need for drugs or “making sure to cover their tracks”.
- Identify employees with high amounts of overtime or always
volunteer to cover a shift. - Conversely, identify employees who have a spike in number of sick days taken.
- Trend analysis of higher risk employees and higher risk drugs/ controlled substances.
- Analysis over time of higher risk employees and use/ administering of controlled substances.
- Calculation of standard deviation of use of controlled substances compared to other employees for the same time frame.
- Test for unusually high amounts of drug wasting (standard deviation analysis).
- Identify orders of unusually high amounts of opioids/ controlled substances compared to usage.
- Compare use of controlled substances/narcotics compared to
job description of the hospital employee.
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Physicians
- Determine physician contract compliance
- Evaluate physician practice history by patient type, payer, etc.
- Report on incomplete physician profiling information
- Test physicians for current accreditation
- Selectively audit new physicians for reporting compliance
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Materials Management/Inventory
- Divide inventory into classes and compare percent investment
- Identify duplicate supply items on inventory master
- Identify items with yearly volume under on-hand quantity
- Identify obsolete inventory by sorted turnover analysis
- Identify starting and ending period balances by class or group
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IT and Security
- Compare authentication/authorization files to employee files to identify terminated employees
- Identify corrupt data fields
- Identify duplicate records
- Sort current system lists by system privilege to identify people who have more access than required for job duties (including I.S. employees)
- Compare system access to physical security logs
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Compliance
- Identify single day stays and subsequent readmissions
- Identify inappropriate unbundling of lab tests
- Identify frequent use of high risk organizations
- Match OIG-excluded providers list with vendor, employee master files
- Identify upcoding
- Analyze patient data access logs to identify possible HIPAA risks/violations
Managed Care
Physician
Inventory
Information Systems
Compliance
Healthcare Analytics
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Protecting Your Bottom Line
For one of the largest food and drug retailers in the USA with over $25B in revenue, 2,000+ stores operating in 30+ states. Their Internal Audit team has seen benefits since applying Arbutus Analytics, to assist with their system conversions. The IA team is able to continue to stand up an analytics solution that is fully automated, scalable, and repeatable across all distribution centers & reap benefits, few are listed here:
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around the conversion success of each distribution center - Accrue significant time savings (few days to less than 30
minutes) in executing inventory data testing; - Harness significant power and speed of Arbutus Analyzer, which has no data limitation, in handling large 1.5 million data volume plus data from multiple disparate systems
- Confidence in data protection from such things as human edit
errors during audit test – read-only analytic software
Analytics By Business Process
Learn more about various analytics tests to meet business needs.
Analytics By Business Process