Excel Fundamentals for Healthcare

Lesson 1 • Navigating Cells and Ranges

Teaches efficient movement across large worksheets using keyboard shortcuts and Go To tools. Directly supports speed and accuracy when handling patient or operational data.

Lesson 2 • Workbook and File Management

Covers creating, saving, and organizing Excel files in formats suitable for healthcare workflows. Prevents data loss through proper save habits and version awareness.

Lesson 3 • Customizing the Excel Environment

Adjusts display settings, zoom, and view options to match healthcare data entry needs. Reduces eye strain and improves accuracy during extended data work.

Lesson 1 • Editing and Correcting Records

Covers Find and Replace, spell check, and in-cell editing to maintain data integrity. Ensures patient and operational records remain accurate after updates.

Lesson 2 • Structuring Data as a Table

Converts raw data ranges into structured Excel Tables with headers and consistent columns. Establishes the organized foundation required for filtering, sorting, and formulas.

Lesson 3 • Data Types in Healthcare Spreadsheets

Distinguishes text, numeric, date, and Boolean data types and their correct entry methods. Prevents misclassification errors that corrupt calculations and reports.

Lesson 4 • Importing External Healthcare Data

Brings data from CSV exports, EHR systems, and text files into Excel cleanly. Prepares imported records for immediate use without manual reformatting.

Lesson 1 • Styles, Themes, and Templates

Applies built-in cell styles and workbook themes to enforce organizational branding and consistency. Saves time by converting formatted workbooks into reusable healthcare report templates.

Lesson 2 • Conditional Formatting for Data Flags

Uses rules, color scales, and icon sets to highlight out-of-range values and critical thresholds. Enables rapid visual identification of anomalies in patient or operational data.

Lesson 3 • Cell and Text Formatting Basics

Applies font styles, alignment, borders, and fill colors to organize worksheet content visually. Creates a consistent look that aids quick reading of clinical or administrative data.

Lesson 1 • Formula Fundamentals and Operators

Explains formula syntax, operator precedence, and cell reference types for building calculations. Prevents common errors that produce incorrect results in clinical or financial data.

Lesson 2 • Date and Time Functions

Calculates patient ages, length of stay, and appointment intervals using date and time functions. Produces accurate time-based metrics essential for clinical and operational analysis.

Lesson 3 • Text Functions for Data Cleaning

Applies TRIM, CONCATENATE, LEFT, RIGHT, and MID to standardize patient name and code fields. Resolves inconsistencies that prevent accurate lookups and reporting.

Lesson 4 • Logical Functions for Decision Rules

Uses IF, AND, OR, and nested logic to encode clinical decision rules and compliance checks. Automates flag generation and category assignment within healthcare datasets.

Lesson 1 • HLOOKUP and Two-Way Lookups

Extends lookup skills to horizontal tables and combined row-column retrieval scenarios. Supports schedule grids and matrix-style healthcare reference data.

Lesson 2 • VLOOKUP for Table Matching

Applies VLOOKUP to match patient IDs, diagnosis codes, and billing items across reference tables. Introduces the most widely used lookup pattern in healthcare spreadsheets.

Lesson 3 • INDEX and MATCH for Flexible Lookups

Replaces VLOOKUP limitations with INDEX-MATCH for left-column and multi-criteria retrieval. Enables robust lookups across complex healthcare data structures.

Lesson 1 • Data Validation Rules

Restricts cell input to valid ranges, lists, and formats to prevent entry errors at the source. Enforces data integrity standards critical for healthcare compliance and reporting.

Lesson 2 • AutoFilter and Advanced Filter

Applies AutoFilter and Advanced Filter to isolate specific patient groups or service categories. Enables rapid subset extraction without altering the underlying dataset.

Lesson 3 • Removing Duplicates and Outliers

Identifies and removes duplicate records and flags statistical outliers in healthcare datasets. Maintains dataset accuracy before analysis or submission to reporting systems.

Lesson 1 • Grouping and Filtering PivotData

Groups dates by month or quarter and applies slicers and timeline filters for interactive reports. Enables period-over-period comparisons essential in healthcare performance monitoring.

Lesson 2 • Building Your First PivotTable

Creates a PivotTable from a structured healthcare dataset and configures rows, columns, and values. Establishes the core skill for all subsequent aggregation and reporting tasks.

Lesson 3 • PivotTable Design and Layout Options

Applies report layouts, styles, and subtotal settings to produce polished, presentation-ready summaries. Ensures PivotTable output meets organizational and regulatory reporting standards.

Lesson 4 • Calculated Fields and Items

Adds custom calculations inside PivotTables without modifying source data. Produces derived metrics such as cost per patient or readmission rates directly in the report.

Lesson 1 • Printing and Exporting Reports

Configures print areas, headers, footers, and page breaks for compliant healthcare report output. Exports finalized reports to PDF for distribution and record-keeping.

Lesson 2 • Choosing the Right Chart Type

Matches chart types to data relationships such as trends, comparisons, and distributions in healthcare. Prevents misleading visualizations that could distort clinical or financial interpretation.

Lesson 3 • Building and Formatting Charts

Creates charts from healthcare data and applies titles, labels, axes, and color formatting. Produces publication-quality visuals suitable for clinical reports and board presentations.

Lesson 4 • Sparklines and In-Cell Visuals

Embeds sparklines and data bars within cells to show trends alongside tabular data. Adds visual context to dense healthcare tables without requiring separate chart objects.