Business Intelligence

Intelligent Business Cameron Cox, III, MHA, FACMPE

CEO, MSOC Health

Learning Objectives 1.  Definitions: (Big) Data, Dashboard, Analytics 2.  Review effective dashboard principles 3.  Understand important differences between

data, analysis and presentation 4.  Recognize differences in analytics 5.  Review Financial Metrics, Analytics in a

practice setting

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What  does  this  graph  tell  us?  

Success! Full plane

What will happen in the following scenario? •  I am driving 80 mph in my Camaro with the

windows down and sunroof open, the music blaring and my cool sunglasses on.

•  A State Trooper has a radar gun. •  The radar gun is pointed directly at my

Camaro. •  The State Trooper is also wearing cool

sunglasses.

Nothing….I’m in Montana

Cam’s Personal Dashboard

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Cam's Life

Cute/Sexy Smart Funny

Agenda •  What is (big) data? What is a dashboard? What

is analytics?

•  Design Principles of a dashboard –  Data and Analysis –  Design –  Presentation

•  Principles of Analytics –  Real Time –  Predictive –  Historical

•  Business Intelligence – How to use it…

What is (big) data?

Latest Buzzword

Who better to explain than the internet?

Big Data at work…

What is a dashboard?

It’s hard to drive without a dashboard

Keep your eyes on the road but…..

What is not a dashboard? •  Report •  Just because it’s on-line

or web based •  Just because it’s real time •  Balanced Scorecard •  Tool to dive into detail •  Just because it has

gauges and graphs

A dashboard is …

… a visual display of the most important information needed to achieve one or more objectives, consolidated and arranged on a

single screen so the information can be monitored at a glance.

Dashboards The Chosen Tool for Consolidating Data Simply

Please count the # of 7’s in this array:

59374304814959730493

70241382710993183453

59474942479103587494

Now count the # of 7’s:

59374304814959730493

70241382710993183453

59474942479103587494

This….not that

A Dashboard’s Hierarchy of Needs

Clear Presentation

Formulated Analysis

Large Data Set

Data

Analysis

Presentation

What is the purpose of dashboard? •  Mission Statement •  Audience •  Performance Measures (KPI & Metrics) •  What logical groupings will organize the info

best? •  What comparisons should be made? •  How frequently will it be updated? •  What actions might be taken?

WATCH OUT! Potential gap ahead…

Time…understand it in your analysis. Real Time versus Time Trends •  Airline Pilot or ICU physician or Call Center •  Retail, Financial, Manufacturing •  Closer to real time better •  Understanding secular/historical trends

important also

Trends •  Hour by Hour, Day by Day, Week by Week •  Month by Month, Quarter by Quarter •  Compare to prior hour, day, week, month,

quarter, year •  Month to Date, Quarter to Date, Year to Date

Context/Comparisons add Perspective •  Historical

–  Last period –  Last period 1 year ago

•  Benchmark •  Goals or Budgets •  Relative to other providers •  Forecast

You Need Good, Unfiltered Data •  Available-Who did you have to toss under the

bus to find this information? •  Reliable -Do you believe these #’s? •  Relevant •  Timely-Last years data is too late. •  Simple, simple, SIMPLE

What is analytics?

Structured Breakdown with purpose Detailed examination of the elements

–  Identifying the elements – Separating the elements into constituent

elements – Measuring the elements

Analytic Continuum

Descriptive- What happened?

Diagnostic- Why did it happen?

Predictive-What will happen?

VALU

E

DIFFICULTY

Real Time Analytics

How does this work?

Okay…how does this work in healthcare?

Predictive Analytics

How does it work?

How does it work in healthcare?

Increase Marketing Dollars during end of season

Have more open scheduling slots during

end of season

Another example

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No

Sho

ws

# of days between Booking Date and Appt Date

No Shows: Days from Booking Date

Group one week follow-up slot times; advertise

walk in availability at same times

Double book one week follow-ups with other appointments to keep

utilization high

Change booking pattern; encourage

patients to self-schedule follow ups

Data – What do we want to measure…analyze…present

Types of Data

I.  Volume A.  Productivity (patients,

encounters, days worked)

B.  Activities (procedures, labs, x-ray, calls)

C.  Hours/Shifts

II.  Quality & Clinical A.  Clinical Quality B.  Patient Satisfaction

III.  Billing & Financial A.  Charge Capture &

Gross Revenue B.  Costs C.  Collections D.  Profit/Loss

Solutions (Real World Example) •  Customer analysis: 51% of patients are age 50 or under

Customer Analysis (Real World #2)

Customer Analysis by Location

•  Cary location sees more Millennials than other locations.

•  Sanford has the oldest patient population.

Opportunity cost •  Compare commercial contract proposals to

other payors; is participating worth the effort?

Contract Value •  Consider all product lines…dropping out

means loss of Medicare Advantage patients

Variance Analysis •  Review payments to ensure payor

compliance with contracted rates, identify denial trends or performance issues

I. Volumes •  Patient Encounters per day/provider/group •  Procedures per E&M •  Year to Year trends/ Seasonality •  Admits/Discharges •  By Financial Class •  Day of Week •  By CPT Code •  By ICD-9 (soon -10)

II. Quality & Clinical •  X-rays per ICD-10 •  Scripts per encounter •  Volume of Preventative

Well Visits •  Vaccinations to total

practice population •  Core Measures

•  Nurse calls •  Lab Response Times •  Patient Education

Delivery •  Recall rates •  Patient satisfaction •  Wait Times

III. Billing & Financial •  RVU per encounter •  Cost per procedure/category •  Code Distributions •  Patient Responsibility per encounter •  Patients by Payer Class •  Accounts Receivable > 90 days •  PQRS Capture •  Insurance Denials

Don’t Let Tools Confuse You The Best Tool is Your Brain

Always Remember: A Dashboard is a Presentation of the Data Analytics is an interpretation of the Data Basics to not forget!!!

– P&L – A/R Analysis – Revenue Flow – Financial Classification

Thank you for your time!

Contact Cameron M. Cox, III

Cameron.Cox@msochealth.com 919-960-0336

Connect with us www.facebook.com/MSOCHealth www.linkedin.com/company/MSOC-Health http://www.msochealth.com/blog/

Thank You MSOC Health (866) 347-0001 200 Timber Hill Place Suite 221 Chapel Hill, NC 27514 www.msochealth.com

Thank You