HITEQ Health Center Behavioral Health Integrator Badge
Health centers are increasing the integration of behavioral health in primary care, spurred by an increased focus on whole person care and additional funding. Effective use of health IT in conjunction with patient privacy and confidentiality is imperative to support behavioral health.

According to the Office of the National Coordinator, "Health information technology can help to improve behavioral health care and can further enable care coordination and integration, increase information sharing, and support prevention, treatment, and recovery activities. Access to and the exchange and use of behavioral health information as part of routine care can help to improve continuity in care services and support efforts toward achieving an interoperable health care system across the continuum."

Take some time to read through some of the articles on this page and then fill out the submission form on the right and you will be rewarded with a Health Center Incredible Behavioral Health Integrator badge! This is an official badge that is submitted by the HITEQ Center as a proof of completion to the blockchain. Your credentials can be added to profiles such as LinkedIn and verified through accreditation services such as Accredible and Open Badge.

https://hiteqcenter.org/Services/Badges-Self-paced-Learning/Behavioral-Health-Integrator

 

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

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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Focus: PHI

Focus: PHI

Patient privacy and confidentiality form a crucial component of the patient-doctor treatment relationship, particularly when seeking treatment for mental health or substance use disorders. Multiple federal privacy laws, in addition to state laws, provide privacy protections for mental health and substance use disorder treatment records, while permitting communication of these records to other healthcare providers, patients’ families, and others.

Behavioral Health Integration Compendium

Behavioral Health Integration Compendium

Many health centers collaborate with external behavioral health providers or provide co-located or integrated behavioral health services within their health center. Some of the most significant challenges are determining which data to share, how to store it within the Electronic Health Record, and how to use it within primary care. This compendium of literature and resources offers some guidance related to behavioral health data integration, complete with key health center considerations for each.

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