Analyze Healthcare Data for Patient Outcomes

Overview

Healthcare-associated infections cost the U.S. healthcare system billions annually – but data-driven monitoring can dramatically reduce these preventable outcomes. This Short Course was created to help healthcare data analysts accomplish systematic monitoring and analysis of patient outcome trends. By completing this course, you'll be able to detect infection rate spikes before they become outbreaks, create compelling data summaries for quality improvement teams, and establish evidence-based baselines for monitoring key performance indicators that directly impact patient safety. By the end of this course, you will be able to: - Analyze month-over-month infection-rate trends to identify abnormal spikes - Apply measures of central tendency and dispersion to summarize dataset variables This course is unique because it combines time-series analysis with foundational statistics specifically for healthcare quality monitoring, using real infection control scenarios. To be successful in this project, you should have a background in basic Excel functions and healthcare terminology. Transform your ability to turn raw healthcare data into actionable insights that protect patients and improve outcomes.

Syllabus

Module 1: Analyze Month-Over-Month Infection-Rate Trends to Identify Abnormal Spikes

Learners will master systematic trend analysis techniques to detect infection rate anomalies that could impact patient safety through hands-on Excel-based monitoring.

Module 2: Apply Measures of Central Tendency and Dispersion to Summarize Dataset Variables

Learners will master fundamental statistical measures to create comprehensive summaries of patient outcome datasets that support evidence-based healthcare decision making.