Download Data Mining Model

Turning Numbers
Nate Moore
MBA, CPA, FACMPE
Into Knowledge
Business Intelligence
for
Medical Practices
Learning Objectives
• Describe examples of data
exploration using Analysis Services
• Recognize sources of data to
combine with Integration Services
• Differentiate between pulling and
pushing data with Reporting Services
Business Intelligence
Business Intelligence is a set of methodologies,
processes, architectures, and technologies that
transform raw data into meaningful and useful
information used to enable more effective
strategic, tactical, and operational insights and
decision-making.
Boris Evelson
http://www.forrester.com/Topic+Overview+Business+Intelligence/-/E-RES39218?objectid=RES39218
Business Intelligence
Data is merely the raw material of
knowledge.
New York Times
SQL Server 101
Relational database management
system from Microsoft
SQL Server 101
SQL Server 101
SQL Server 101
SQL Server 101
SQL Server 101
Learning Objective #1
Describe examples
of data exploration using
Analysis Services
Analysis Services
Cubes
Measures (numbers like
collection dollars or billed
charges)
Dimensions (ways to
categorize measures, like
time, providers, and locations)
Analysis Services
Excel is a great tool
to work with cubes
Analysis Services
Pivot Table
Pivot Table
Spreadsheet Table Connected to Cube
500K records
2.1 M records
Analysis Services
Pivot Table
Connected to Table
Pivot Table
Connected to Cube
Analysis Services
Table
Cube
Pros
Easier to create
Complete drill down detail
Can group data in Pivot Table
Easier to work with large datasets
Custom formulas (MTD, YTD) and
hierarchies
Cons
Much larger file size
Harder to work with lots of data
Requires IT help to create
Limited ability to drill down to detail
Have to group data at cube level
Analysis Services Data Mining
Analysis Services Data Mining
Classification
Regression
(discrete values)
(continuous values)
Segmentation
Association
(algorithm groups)
(already grouped)
Sequence Analysis
(future routes)
Analysis Services Data Mining
Classification
(discrete values)
Will a patient show up for their appointment?
Will a patient pay their patient balance?
Will a patient respond to treatment?
Analysis Services Data Mining
Regression
(continuous values)
What will a patient’s healthcare cost next year?
What will a patient’s blood pressure be?
What is the value of a new patient?
Analysis Services Data Mining
Segmentation\Clustering
(algorithm
groups)
Algorithm looks for patterns to define patient
categories for analysis
Which patient groups are most likely to respond to
a medication or a marketing program?
Analysis Services Data Mining
Association
(already grouped)
Data already has a group
Look at past data to find patterns in the group
(Amazon, Netflix)
Analysis Services Data Mining
Sequence Analysis
(future routes)
Examine stops along a route to predict future
routes
Navigation on a website
Patients receiving treatments or buying products on
a schedule
Analysis Services Data Mining
Data Mining Model
Gather data
Choose a model
Randomly hold out test data (~30%)
Generate model
Evaluate model on test data
Analysis Services Data Mining
What kinds of data are already
available in your PM system to
predict no shows?
Analysis Services Data Mining
Primary Insurance
Zip Code
Co-Pay
Day of Week
Time of Day
Provider
Location
No Show History
Age
Gender
New vs. Established
Referral Source
Days between Schedule
Date and Appt Date
Analysis Services Data Mining
Decision Tree
Analysis Services Data Mining
Model Testing – Classification Matrix
Actual
Predicted
No Show
Show
Total
No Show
26
23
49
Show
5,824
103,498
109,322
Total
5,850
103,521
109,371
Accurate 103,524
Not Accurate
94.7%
5,847
5.3%
Total 109,371
100.0%
Analysis Services Data Mining
Forecasts
vs.
Predictive Analytics
Analysis Services Data Mining
Predictive Analytics
Technology that learns from
experience (data) to predict the future
behavior of individuals in order to
drive better decisions.
Eric Siegel
Predictive Analytics: The Power to Predict
Who Will Click, Buy, Lie, or Die
Analysis Services Data Mining
Target using unscented lotion
and Predictive Analytics
to Predict Pregnancy
Analysis Services Data Mining
PA vs. Facts
PA vs. Changing Workflow to get
Facts
Predicting the Past
Analysis Services Data Mining
Learning Objective #2
Recognize sources
of data to combine with
Integration Services
Integration Services
Control Flow
Integration Services
Data Flow
Integration Services
Integration Services
Data
Sources
Data Destinations
Integration Services
Control Flow Tasks
Integration Services
Data Flow Tasks
Integration Services
Use SSIS to get data into SQL Server
to take advantage of:
SSAS (cubes and data mining) and
SSRS (email and web pages)
Integration Services
PM and EHR data
Eligibility and Benefits data
Combine multiple PM systems
Learning Objective #3
Differentiate between
pulling and pushing data
with Reporting Services
Reporting Services
Alerts
vs
“Wait and Wade”
SSRS Dashboard
SSRS Dashboard
SSRS Dashboard
Reporting Services
Tools to add
features to
SSRS web
pages and email
Reporting Services
Reporting Services
What would you track if you
could see future
appointments?
Reporting Services
Procedure No Shows/Cancellations
Reporting Services
Reporting Services
You can use the same report
on a webpage (pull)
or in an alert email (push)
with Reporting Services
Learning Objectives
Those who do not learn from the past
are condemned to repeat it.
George Santayana
Learning Objectives
• Describe examples of data
exploration using Analysis Services
• Recognize sources of data to
combine with Integration Services
• Differentiate between pulling and
pushing data with Reporting Services
Next Steps
Understand your data with Pivot Tables
Get more data with cubes/SSIS
Alerts and web pages with SSRS
Data Mining and Predictive Analytics
Next Steps
Watch Excel Videos
Pivot Tables (Videos 1-29 and 280-330)
mooresolutionsinc.com/videos.php
MGMA Connexion article on
Pivot Tables
mooresolutionsinc.com/articles.php
Join Excel Users
MGMA Community
• Login to www.mgma.com
• Go to My Profile, then click on My
Subscriptions from the submenu
• Choose your delivery preferences for the
communities you wish to join
• Direct link
http://community.mgma.com/MGMA/MGMA/MyProfile/MySubscriptions/Default.aspx
• Excel Users is in alphabetical order
Nate Moore
MooreSolutionsInc.com
PivotTableGuy