HITEQ Health Center Childhood Obesity Preventer Badge

Supporting young patients in achieving and maintaining a healthy BMI and living healthy, active lives is critical to their ability to live full, healthy, and happy lives. Health centers improve the health of their patients and community by addressing child and adolescent weight.

The resources below are the product of a HRSA-MCHB collaboration, highlighting important evidence-based tools from Bright Futures as well as tools from HITEQ to improve the use of your EHR and health IT systems to support implementation of promising practice.

Visit the 4 part webinar series and their related resources linked below on this page and then fill out the submission form on the right and you will be rewarded with a Childhood Obesity Preventer badge!​ 

This is an official badge that is submitted by the HITEQ Center as a proof of completion to the blockchain. Your badge can be added to profiles such as LinkedIn and verified through accreditation services such as Accredible and Open Badge.

 

 

Event date: 2/7/2017 2:00 PM - 3:30 PM Export event
Improving Health IT Safety through the Use of Natural Language Processing to Improve Accuracy of EHR
Alyssa Thomas
/ Categories: EHR Implementation, HIT Events

Improving Health IT Safety through the Use of Natural Language Processing to Improve Accuracy of EHR

An AHRQ Web Conference

Web Conference on Improving Health IT Safety through the Use Natural Language Processing to Improve Accuracy of EHR Documentation

Objectives:

  1. Discuss the development and evaluation of an enhanced electronic note system that leverages voice recognition and NLP technologies to create electronic physician notes in the EHR.
  2. Discuss the challenges of introducing speech recognition technology into existing medical culture and current clinician workflow, including user preferences and the quality of documents generated by this technology.
  3. Explain the need for an automated error detection system using NLP for improving the accuracy and quality of speech recognition generated medical documents, and discuss the development and evaluation of such a system.


Presenters:

  • Thomas Payne, M.D., Professor of Medicine; Adjunct Professor, Departments of Health Services and Biomedical Informatics and Medical Education; Medical Director, Information Technology Services, University of Washington
  • Li Zhou, M.D., Ph.D., Assistant Professor of Medicine, Harvard Medical School, Brigham and Women's Hospital


Moderator:

  • Chris Dymek, Ed.D., Director, Health IT Division, Agency for Healthcare Research and Quality
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Tags: EHRHealth ITAHRQelectronic health recordsnatural language processing

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Health Center Childhood Obesity Preventer Badge