Data-Driven Healthcare: How Analytics and BI are Transforming the Industry

APPENDIX D Business Metrics

One of the key attributes of a data-driven healthcare organization (DDHO) is having a data-savvy user base. That may require some effort. This appendix is a presentation that I have used in the past to get business users thinking about data, basic descriptive statistics, and how data can be best visualized.

Applying Business Metrics to Decision Making

Slide 1. Applying Business Metrics to Decision Making

• Standards of measurement
• Trends
• Relationships
• Using data for decision making
• Being a skeptical consumer

Slide 2. Agenda

• What examples do you have that you are or have been dealing with that have been top of mind for you as we discussed these items? Was there anything that specifically brought you to this class?

Slide 3. First . . .

LET'S BEGIN WITH THE BASICS

Slide 4. Let's Begin with the Basics

• Categorical variable (often referred to as an attribute)—a variable that places an individual into one of several groups or categories. —Examples: Member, Benefit, Eligibility Status
• Quantitative variable (often referred to as a fact)—numerical values on which arithmetic operations are likely performed —Examples: Age, days inpatient, dosage of medicine, systolic blood pressure, level of calcium in the blood, etc.

Slide 5. Different Types of Variables

• Standards of Measurement

Descriptive Statistics

Slide 6. Standards of Measurement: Descriptive Statistics

Average for things like PMPM (although ...