Are you capturing information like immigration or refugee status, intimate partner violence, human trafficking, risk of acquiring HIV through sexual contact or substance use disorder, or other information that brings up questions about how to document or code while respecting the patient’s privacy?

This health center learning collaborative series will present 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 encourage participants to discuss the implications for health centers and their patients. 

Are you capturing information like immigration or refugee status, intimate partner violence, human trafficking, risk of acquiring HIV through sexual contact or substance use disorder, or other information that brings up questions about how to document or code while respecting the patient’s privacy?

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 encourage participants to discuss the implications for health centers and their patients. 

Are you capturing information like immigration or refugee status, intimate partner violence, human trafficking, risk of acquiring HIV through sexual contact or substance use disorder, or other information that brings up questions about how to document or code while respecting the patient’s privacy?

This health center learning collaborative series presented health center case examples that explored 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. 

Are you capturing information like immigration or refugee status, intimate partner violence, human trafficking, risk of acquiring HIV through sexual contact or substance use disorder, or other information that brings up questions about how to document or code while respecting the patient’s privacy?

This health center learning collaborative series presented health center case examples that explored 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. 

Are you capturing information like immigration or refugee status, intimate partner violence, human trafficking, risk of acquiring HIV through sexual contact or substance use disorder, or other information that brings up questions about how to document or code while respecting the patient’s privacy?

This health center learning collaborative series presented health center case examples that explored 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. 

In the 2020 UDS, United States health centers reported 4,984,733 of their 15,485,847 eligible medical patients (32.2%) were tested for HIV at least once after their 15th birthday and before their 66th birthday..

As part of the Centers for Disease Control and Prevention (CDC) Capacity Building Assistance (CBA) cooperative agreement, NASTAD released a Billing Coding Guide for HIV Prevention: PrEP, Screening, and Linkage Services. The guide, developed in collaboration with a coding consultant and the HIV Medicine Association, was updated in 2018. It assists health departments and other providers (such as health centers!) to navigate billing and reimbursement for HIV prevention services. 

The HITEQ Center interviewed ten health centers and health center partners to identify solutions and promising practices for addressing childhood obesity across the health center program. The focus included how health centers are meeting the Uniform Data System (UDS) measure and how they are taking further steps to identify and intervene with those at risk of obesity leveraging health information technology, electronic health records, and the data they have. Seven key areas are identified in the resulting issue brief.

This resource will equip health center stakeholders with the understanding of how standardized social determinants of health (SDoH) data can be used and which ICD 10 Z codes can be used to document a patient's social needs, and are therefore pertinent to a standardized SDoH data set.

The purpose of the infographic is to describe how SDH data would be used for a variety of goals that would have traction with the clinic staff audience who may likely need to modify workflows and behavior in order to collect such data.  The visual case could be used in presentations or hung on a provider break room wall.