Module 17: Data Analytics, Informatics & Decision Support
From Gut Feeling to Data-Driven: Translating Clinical Intuition into Operational Intelligence.
From Reading Patient Charts to Reading the Business
As a seasoned pharmacist, you are already a master of data analytics. You may not use that term, but it is precisely what you do every day. You look at a patient’s chart—a collection of data points like lab values, vital signs, and medication histories—and you synthesize that information to make critical clinical decisions. You can spot a subtle trend in rising serum creatinine and know it signals renal decline. You can interpret a sub-therapeutic INR in the context of a new interacting antibiotic. Your entire professional practice is built on a foundation of data-driven decision-making for a single patient.
This module is designed to expand that powerful skillset from a population of one to the entire pharmacy enterprise. We will translate your ability to read a patient’s chart into the ability to read the “chart” of your pharmacy operation. You will learn that inventory turnover, medication turnaround times, labor costs per dose, and 340B capture rates are simply the vital signs of your department’s health.
We will demystify the world of informatics and analytics, reframing it as a set of powerful tools that allow you to diagnose operational problems, predict future challenges, and justify your decisions with objective evidence, not just intuition. By the end of this module, you will be equipped to speak the language of data to hospital administrators, build compelling business cases for new resources, and lead your department with the same analytical rigor you currently apply to patient care.
Your Guide to the Data-Driven Landscape
This module provides the complete toolkit for transforming your pharmacy from a reactive cost center to a proactive, data-informed engine of efficiency and safety.
17.1 Role of Data and Informatics in Pharmacy Operations
A foundational overview of the pharmacy informatics ecosystem, from the flow of data in the EHR to the critical role of the pharmacy database (the “formulary”) as the engine of all medication-related activities.
17.2 KPI Dashboard Development and Visualization Tools
A practical guide to identifying the Key Performance Indicators (KPIs) that truly matter, and using tools like Excel, Tableau, and Power BI to build intuitive dashboards that tell a clear story about your department’s performance.
17.3 Predictive Analytics for Forecasting and Optimization
An introduction to advanced analytical techniques, moving beyond historical reporting to using your own data to forecast drug spend, predict patient volume, and optimize staffing levels.
17.4 Data Governance, Security, and Compliance
A critical lesson on your responsibilities as a steward of sensitive data, covering HIPAA, data integrity, access controls, and the principles of creating a sound data governance framework.
17.5 Leveraging Artificial Intelligence and Automation Tools
A forward-looking exploration of emerging technologies, from Robotic Process Automation (RPA) for mundane tasks to machine learning models that can identify patients at high risk for adverse drug events.