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Analytics – Order to Cash
Quick Background – Intelenet Analytics Offerings
Intelenet Analytics
Tools and Technologies – SQL, R, SPSS, Hoot-suite, Ra-
dian6, Verint Speech Analytics amongst others
Healthcare Analytics
Contact centre analytics
Enterprise spend analytics
Customer satisfaction analytics
Interaction analytics
Collections analytics
Reports and Dashboards
Home-Healthcare – Order to Cash Analytics
Payor and Product Behaviour Analytics
Social media analytics
Leadership team equipped with Six Sigma black belt credentials
Strong team of qualified statistians and data scientists
In-house software development team delivering best in class BI/MI softwares
Dedicated data base management experts
Cycle followed for Analysis
Typical approach to analytics for “Order to Cash” in the home HealthCare industry
Study a statistically valid sample size for a cross-section of services / products to identify the effort / cost incurred at a category level, using a reverse integration methodology
Order Triaged
Order Intake
EQ / CQ Check
Deliver
Revenue Booked
Claim Preparation
Submit Claim
Claim Adjudication
Claim Denied, Resubmitted
Claim Paid / Denied
Patient / Referral Places order
Typical Workflow Cycle
Key Takeaways
Sample: Executive summary
A sample of 368 random samples from QA observations were selected for as study to examine an order’s lifecycle
The study was conducted between period x to y, ensuring a 60 day cycle is provided for the analysis to be effective
The study included analysis from intake to fulfillment and fulfillment to payment
Analysis was conducted to study multiple variables such as branch, referral, products, payers etc
Total Intakes selected for audits
Total qualifying orders
Total Orders processed for delivery
Orders Paid / Adjusted
within 60 days
368
330
240
140
140 / 368orders get
paid within 60 days
90%
65%
38%
368
41%
Sample: Level 2 Drill Down
Typical Next Steps
Process mapping of the intake processInterview with SMEs to verify process understanding
Sign off on process maps fro SMEs
A sample of 368 random samples from QA observations are selected for as study to examine an order’s lifecycle
The study is conducted using live data between a period of time allowing 60 day cycle to pass by
The study would include analysis from intake to fulfilment and fulfilment to payment
Analyse order outcomes
Compute order fulfilment rates against multiple variables such as .branch, products, refferals, etc.
Present findings of the study internally
Identify and state problem statement emerging from the analysis
Propose a road map to improve order fulfilment rate
Process Understanding
Sampling & Date Collection Analytics Findings &
Recommendations
Notes
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Intelenet Global Services is a leading global provider of business process management services across various industries, such as, Healthcare, Utilities, Banking & Financial Services, Retail, Hospitality, and Travel. We Advise, Design, Integrate & Deliver solutions to private enterprises and public authorities in over multiple countries across the globe. We have more than 50 delivery centers spread across 8 countries. Our corporate clientele include global majors and blue-chip companies.
About Intelenet
William HoppeVP - Business Development
Cell: [email protected]
Bill AndersonDirector Business Development-
Healthcare ServicesCell: 402-637-3404