Acknowledgements

This resource collection was compiled by the HITEQ Center staff with guidance from HITEQ Advisory Committee members and collaborators of the HITEQ Center.

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Overview

The HHS-wide initiative Ending the HIV Epidemic: A Plan for America seeks to leverage the powerful data and tools now available to reduce new HIV infections in the United States by 75 percent in five years and by 90 percent by 2030. HITEQ is identifying best practices and barriers to using health IT to support early diagnosis, application of proven prevention interventions including access to PrEP, and sustained treatment for people living with HIV to achieve and maintain viral suppression.

Ending the HIV Epidemic Resources
Event date: 1/12/2022 1:00 PM - 2:00 PM Export event
Health Center Case Examples in Coding and Documenting Social Risks: Introduction

Health Center Case Examples in Coding and Documenting Social Risks: Introduction

Privacy and Data Sharing Considerations | HITEQ Learning Collaborative

This health center learning collaborative series presented health center case examples that explore the privacy and data sharing considerations of EHR documentation of sensitive patient information, such as social history and social risk, and encouraged participants to discuss the implications for health centers and their patients. 

Providers encounter an increasing scope of potentially sensitive social history information as screenings for intimate partner violence, sexual and substance use history, and social risks become more common. Simultaneously, health centers face more pressure to openly share patient records with patients, patients’ other providers, and patient proxies like parents. Many of these decisions require decision-making by the clinician within the encounter, leaving clinicians feeling like they must have legal and technical expertise to apply in the context of each encounter. This session provided an overview of regulatory considerations including information blocking, the open notes movement, and common considerations and challenges that present when coding and documenting patient information in electronic medical records and aiming to ensure privacy, accuracy, and sensitivity. 

 

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