Sela

Optimizing Management Through AI

Description
Hospital management requires rapid decision-making, precise team communication, and the management of complex processes—all simultaneously and under pressure. In an era of information overload and endless tasks, Artificial Intelligence can become your personal assistant, saving time and simplifying workflows.
Intended audience
This course is designed for Hospital Directors, Department Heads, and Healthcare Administrators who need to manage high-pressure environments, streamline complex operations, and make data-driven decisions using cutting-edge AI tools.

Topics

What is AI for managers?
Prompt engineering for decision-making.
How to write effective AI instructions.
Data privacy: What not to upload to AI.
How to work securely with AI tools.
Algorithmic bias: Identification and prevention.
Identifying and avoiding bias in decision-making.
Fact-checking AI outputs before use.
Collecting relevant data (existing reports, performance metrics, feedback).
Using AI to identify trends.
Generating initial insights from data.
Hands-on practice with real-world data.
Uploading documents (Word, PDF, reports).
Automatic Podcast generation from documents.
Generating presentations and converting data to Google Sheets tables.
Creating Quizzes and Flashcards.
Rapid presentation creation from text or documents.
Automated design and layout.
Exporting to PowerPoint.
Bot vs. Agent: Understanding the Difference
Bot: Answers questions.
Agent: Executes tasks autonomously.
Practical use cases.
ChatGPT: Creativity and general tasks.
Claude: Programming and deep analytical reasoning.
Copilot: Seamless Microsoft Office integration.
Gemini: Analyst and Video Creator capabilities.
Integration with Outlook (Emails/Meetings), Teams (Messages/Updates), SharePoint (Document storage), Excel (Data updates), and Planner (Task management).
Example: Automated Replacement Agent (Long leave ? Finding replacements ? Sending emails ? Updating Teams ? Creating tasks).
Creating a personalized GPT.
Private vs. public sharing.
The GPT Store: Accessing thousands of ready-made GPTs.
Examples: HR GPT, Data Analysis GPT.
Projects: Creating dedicated project spaces with specific files and instructions.
Artifacts: Dedicated windows for code and real-time previews (Websites, Apps).
Creating videos from prompts or PowerPoint.
Automated AI voiceovers and stock footage.
Editing, exporting, and content-to-video conversion.

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