AllianceChicago integrates SDOH in its pop health, EHR systems

The Health Center Controlled Network’s member organizations serve a disproportionate number of low-income and underrepresented patients, so social determinants of health data is an important component of the mix.
By Bill Siwicki
01:06 PM
AllianceChicago integrates SDOH in its pop health, EHR systems

AllianceChicago provides health information technology services to member organizations. It functions as an HRSA-funded Health Center Controlled Network. Its mission is to improve individual, family and public health through innovative collaboration.

THE PROBLEM

“Because our member organizations serve a disproportionate number of low-income and underrepresented patients, we were interested in building the capability to collect social determinants of health information within the organization’s electronic health record,” said Andrew Hamilton, CIO and deputy director of AllianceChicago.

In addition, AllianceChicago wanted to ensure that the data was captured in structured – thus reportable – fields to allow the information to be used at the point of care by care team members to support individual care planning.

AllianceChicago also wanted to be able to share the data collected in the EHR with its population health system, allowing the population health team to use the information to inform their outreach and care coordination activities.

PROPOSAL

Initially, AllianceChicago’s population health system, from vendor Enli Health Intelligence, did not have fields to display SDOH data.

"The addition of SDOH data allows care managers and outreach members of the population health team to use these data to identify social and/or economic factors that may be impacting the patient’s ability to engage in care."

Andrew Hamilton, AllianceChicago

But AllianceChicago set out to work with the Enli Health team. After an update to the Enli Health software, AllianceChicago was able to map the SDOH EHR data to new fields in the population health system. The SDOH data has been added to the Risk Stratification component of the Enli Health system.

“The addition of SDOH data allows care managers and outreach members of the population health team to use these data to identify social and/or economic factors that may be impacting the patient’s ability to engage in care,” Hamilton explained.

MARKETPLACE

There is a variety of population health IT vendors on the market today, including Caradigm USA, Cerner, Experian Health, Forward Health Group, Geneia, GSI Health, Health Catalyst, Interpreta, Lumeris, Medecision, Medicity, Optum, Orion Health, Philips Wellcentive, Transcend Insights and ZeOmega.

MEETING THE CHALLENGE

Today, members of the care team can use SDOH data at the point of care. This can assist with care planning.

Population health team members can use the data at the population level to mitigate risk factors impacting access to care and/or the patient’s ability to implement the plan of care.

RESULTS

It’s early in the SDOH project at AllianceChicago. Thus far, AllianceChicago has deployed the tools to collect the SDOH data. It has integrated the data into the EHR.

Further, AllianceChicago has integrated the data into the population health system.

“We are not far enough along to show the impact on outcomes just yet,” Hamilton added.

ADVICE FOR OTHERS

While AllianceChicago has not yet gotten to the point of outcomes yet, Hamilton has plenty of solid advice to offer peers when it comes to the initial stages of an SDOH/EHR/population health effort.

“Collecting data directly from patients is not trivial and the workflow changes and staff/care team preparation is critical,” he advised. “Also, EHR systems do not have/incorporate data standards necessary to structure SDOH data. There are missing data standards for SDOH data that impact the ability to incorporate data into EHRs and population health solutions.”

Hamilton continued that there are several instruments developed for collecting SDOH data and lots of overlap in these instruments – choosing or deploying one tool for the entire population of patients in a system is desirable but difficult because of competing/conflicting use of tools by payers, CMS and other organizations.

“The scientific evidentiary bases for collecting and using SDOH data in a healthcare setting is in its infancy,” Hamilton concluded, “so therefore we see a lot of experimentation with use of the data.”

Twitter: @SiwickiHealthIT
Email the writer: bill.siwicki@himssmedia.com
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