Course: MED.105 Introduction to Medical Informatics (3 credits)
Faculty: Marc
Triola, M.D., Michael
Cantor, M.D.
Meeting
Hours: 90 minute seminars, fall semester, 30 hours
Course Description: This course will serve as an introduction to Medical Informatics, which is the interdisciplinary science of information management in Medicine. The focus of the course will be on areas of Medical Informatics relevant to clinical research in medicine and public health. Innovative methods to capture, store, and retrieve clinical and population level data as well as ways in which information systems which can support research interventions will be reviewed. We will also examine the ways in which Informatics can initiate, facilitate, and enable clinical and translational research.
Objectives: By the end of the course, student will be able to:
- Define the major topics within Medical Informatics
- Understand how Medical Informatics can initiate, facilitate, and enable research in medicine and public health.
- Understand how clinical information systems can enhance or limit the ability to conduct such research.
- Understand why Informatics standards and Controlled Vocabularies are important for research.
- Understand the difference between adverse events and medical errors and their relationship to computer-based systems.
Date
|
Lecture |
Readings | ||
| Introduction
to Informatics Lecture slides (PDF) |
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| Clinical
Information Systems 1: Order Entry and EMRs Lecture slides (PDF) |
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| Clinical
Information Systems 2: Clinical Data Repository Lecture slides (PDF) |
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| Understanding
Data Sources Lecture slides (PDF) |
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| Controlled
structured vocabularies and Data Dictionaries Lecture slides (PDF) |
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| Informatics
Standards Lecture slides (PDF) |
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| General
database and project development tools Lecture slides (PDF) Source Code for EMR (Python) (PDF) Database Schema (PDF) SQL script to create database (text) SQL script to insert demo data into database (text) weblink to phpmyadmin.net weblink to mysql |
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| Syndromic
Surveillance / Population Studies Lecture slides (PDF) |
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| Decision Support Alerts/Reminders/Guidelines/ Lecture slides (PDF) | ||||
| Bioinformatics Lecture slides (PDF) | ||||
| Medical Errors Lecture slides (PDF) Article (background if interested) (PDF) |
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| Final
Exam Final Exam (MS Word) |
