Welcome to the Health Information Exchange Weekly News Round Up from RosettaHealth. Each week, we will provide you with a summary of all the actionable news that hospitals, HIT vendors, ACOs, and population health providers need to be smart and effective when it comes to health information exchange.

2020 ONC Annual Meeting Kicks Off

The ONC 2020 Annual Meeting kicks off today in Washington, DC, and the event will focus on “Bringing the EHR to the Patient.”

Improving EHR Usability, Interoperability to Aid Patient Safety

In a study conducted by MedStar Health National Center for Human Factors, researchers found that roughly 40 percent of EHRs reported having an issue that can potentially lead to patient harm.

ONC Targets Clinician Burnout, APIs, in Updated Health IT Playbook

The ONC has released an updated version of the Health IT Playbook that focuses on aiding clinician burden, providing information on application programming interfaces (APIs) to improve interoperability, and helping healthcare providers comply with HIPAA.

Epic Systems Advises Hospital Execs Against Interoperability Rule

Epic Systems CEO Judy Faulkner urged hospital executives to take a stand against the Department of Health and Human Services’ (HHS) proposed regulations that are intended to make it easier to share medical information.

Opt-In Health Information Exchange Drive Administrative Burden

Administrators working in states requiring opt-in consent for health information exchange (HIE) carry greater burden than those working in states with singular opt-out policies. However, hospitals that are technologically less advanced than others, also express higher levels of administrative burden, according to a new study.

Majority of Diagnosed Cancer Patients Are Not Viewing Their EHR

Patients who were recently diagnosed with cancer viewed their own EHR data at higher rates compared to those who were never diagnosed with cancer and those who are cancer survivors, but they still aren’t viewing their records at a very high rate, according to the ONC.

Machine Learning Uses Social Determinants Data to Predict Utilization

A machine learning algorithm accurately predicted inpatient and emergency department (ED) utilization using only publicly available social determinants of health (SDOH) data, showing that it’s possible to determine patients’ risk of utilization without interacting with the patient or collecting information beyond age, gender, race, and address.

To learn more about how RosettaHealth can assist with any health information challenges you might have, book a free consultation with one of our interoperability experts.