The First HL7 e-Learning Course

HL7Limited Edition, Start-up March 17, 2008
The HL7 e-Learning Course is fundamentally different with regard to an exposition course. It is a web-based workshop, a set of guided exercises that teachs by practice and example, not by exposition. At the end of the course, participants should:
  • Know how to confront a project involving interoperability among disjointed healthcare information systems.
  • Know how to read the most widely used HL7 standards.
  • Understand the need for controlled vocabularies, master files, and entity registries.
  • Read and Write V2.X messages.
  • Read and Write V3 messages.
  • Read and Write CDA R2 documents.
  • Know when to use each artifact (messages, documents).

Web-Based Training

  • HL7 Certified Teachers helping you step-by-step.
  • Reading material developed by our tutors.
  • Bibliographic material.
  • Discussion forums.
  • Glossary.
  • Integration activities stewarded by the teaching team.
  • Self evaluation quizzes.
  • Tutor evaluation for each module.

Preconditions / Enrollment priorities

  • Prior experience in HL7 not required.
  • Priority enrollment will be given to newcomers.

For further information, please visit:
http://www.hl7.org/events/elearning/index.cfm

Most Popular Now

AI System Helps Doctors Identify Patient…

A new study from Vanderbilt University Medical Center shows that clinical alerts driven by artificial intelligence (AI) can help doctors identify patients at risk for suicide, potentially improving prevention efforts...

Smartphone App can Help Reduce Opioid Us…

Patients with opioid use disorder can reduce their days of opioid use and stay in treatment longer when using a smartphone app as supportive therapy in combination with medication, a...

AI's New Move: Transforming Skin Ca…

Pioneering research has unveiled a powerful new tool in the fight against skin cancer, combining cutting-edge artificial intelligence (AI) with deep learning to enhance the precision of skin lesion classification...

Leveraging AI to Assist Clinicians with …

Physical examinations are important diagnostic tools that can reveal critical insights into a patient's health, but complex conditions may be overlooked if a clinician lacks specialized training in that area...

AI can Improve Ovarian Cancer Diagnoses

A new international study led by researchers at Karolinska Institutet in Sweden shows that AI-based models can outperform human experts at identifying ovarian cancer in ultrasound images. The study is...

Predicting the Progression of Autoimmune…

Autoimmune diseases, where the immune system mistakenly attacks the body's own healthy cells and tissues, often have a preclinical stage before diagnosis that’s characterized by mild symptoms or certain antibodies...

Major EU Project to Investigate Societal…

A new €3 million EU research project led by University College Dublin (UCD) Centre for Digital Policy will explore the benefits and risks of Artificial Intelligence (AI) from a societal...

New AI Tool Uses Routine Blood Tests to …

Doctors around the world may soon have access to a new tool that could better predict whether individual cancer patients will benefit from immune checkpoint inhibitors - a type of...

Using AI to Uncover Hospital Patients�…

Across the United States, no hospital is the same. Equipment, staffing, technical capabilities, and patient populations can all differ. So, while the profiles developed for people with common conditions may...

New Method Tracks the 'Learning Cur…

Introducing Annotatability - a powerful new framework to address a major challenge in biological research by examining how artificial neural networks learn to label genomic data. Genomic datasets often contain...