August 2, 2023 | Michelle Badore
Keeping current on the massive amount of change in the social determinants space requires tenacity. There are new codes released constantly, new mandates to comply with and an increase in accreditation and health equity ratings programs. There’s talk of assistance from artificial intelligence (AI), machine learning, coding automation, reporting analysis and chat bots for all the data. We should not forget however, this is about addressing social drivers of health – giving people what they need to attain their highest level of health. The focus remains on the patient, the fellow human.
Where does this responsibility fall within the health care organization? Population health? Quality? Revenue cycle? Coding? Physician leadership? Nursing? Clinical documentation integrity (CDI)? Social work? Who should address the umbrella of care that is needed? The coordination of care starts when the patient presents – from a scheduled outpatient appointment to a high utilization emergency department (ED) visit because they have no alternative – and continues through the patient’s health care journey. Collection of data at each point is critical to the social determinants of health (SDoH) journey. Accurate and complete data is paramount to delivering patient care, population needs, utilization and outreach.
The inequities in the SDoH domain are staggering. More than 50 percent of people experiencing homelessness in families are children under the age of 18. There is a direct correlation to these inequities and poor maternal health, infant death, incarceration and a multitude of poor societal outcomes. We are finally attaining the focus we need – from general awareness through government regulation.
Capturing SDoH data begins with a designated range of ICD-10 codes, often referenced as Z codes, these are current “status” codes. The patient story is collected by hospital staff and then documented in the electronic health record (EHR). This EHR narrative is ultimately translated into codified data. This coded data is used to inform outcome-based care, community outreach and reporting.
In order to help our clients prioritize the capture and coding of Z codes, we built a Z code foundation to optimize documents through computer-assisted coding (CAC) technology. We have developed SDoH content in hierarchical condition categories (HCC) management, CDI evidence sheets, CDI prioritization or in getting these codes into the top 25 on the final bill with advanced sequencing. We can build custom edits for coding staff to improve efficiency and ensure enhanced code capture.
Once we have a patient who has determined social needs, can we stop there? Must we not connect this person to resources? Who will manage the referrals – can burned out physicians handle more? Are organizations receiving these referrals correctly for the influx due to SDoH2?
Here’s a real life example of how this will work: Downtown Hospital treats an underserved community in an urban setting. High cost ED visits are increasingly used for patients who have no other alternatives. Health needs are addressed, and basic patient education is provided along with discharge instructions. A mental health referral is needed, and a lengthy form completed for a Community Shelter. A separate referral is needed for Our Food Bank. Providers must complete patient documentation in the EHR and note their referrals in the system used for many downstream purposes, one being external reporting requirements. Our Food Bank is already stretched in terms of resources, and that need is increasing now that their ask has increased threefold. Community Shelter has a 60-day waiting list.
Due to the increased focus on SDoH by hospital systems, government and communities, and the constant fluidity of regulatory and accreditation, one should expect marked changes to come.
Michelle Badore, global clinical and nosology content manager at 3M Health Information Systems.