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Application

ARBUTUS ANALYZER

Data Analysis in Healthcare...

A Few of the Ways You can Put Arbutus Analytics to Work in Healthcare

  • Patient Billing /
    Managed Care
  • Pharmacy

  • Physician

  • Inventory

  • Information
    Systems
  • Compliance

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

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

Inventory/Material Management

  • 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

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

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