Using Social Determinants of Health Data in Machine Learning Reduced Bias

December 20, 2022acoAI, health disparities, SDOH

Published in Circulation: Heart Failure, a recent study conducted by Northwestern Medicine researchers found that adding social determinants of health (SDOH) data into machine learning models led to less bias when predicting outcomes for heart failure patients. Healthcare bias can lead to detrimental outcomes for patients. For example, in April, a study published in PLOS digital health found that digital health…

Social Determinants Of Health In The Age Of Digital Healthcare

February 8, 2022acoAI, digital health, digital healthcare, health equity, healthcare technology, SDOH

During the pandemic, health care providers and institutions ramped up innovative, sustainable and increasingly digital ways to improve population health outcomes, and I expect this trend to continue. For over 20 years, I’ve advised health care provider teams across the U.S. on leveraging and incorporating digital technology and tools like patient portals, health trackers and…

3 Ways Artificial Intelligence Can be Used to Improve Health Equity

February 8, 2022acoAI, Artificial Intelligence, digital health, health equity, health technology, SDOH

When I graduated from medical school and took the Hippocratic Oath, I vowed to not just treat the illness on a patient’s medical history form but to treat the person behind the diagnosis. To do this well, clinicians need to understand the whole person and the context in which they live — their race, gender…

RECORDED WEBINAR: Leveraging AI-Enabled Remote Patient Management for Preventative Care in the Fight Against Diabetes

August 25, 2021Garrett SchmittNo CommentsAI, Chronic Care, Chronic Care Management, chronic disease, diabetes, diabetes management, preventative care, remote patient monitoring, Webinar, webinars

DOWNLOAD SLIDES The CDC reports that 6 in 10 adults in the US have a chronic disease and 4 in 10 have two or more. With the prevalence of chronic diseases in mind, it’s no surprise that they are the leading driver for the nation’s $3.8 trillion in annual healthcare costs, and the diabetic population…

Predictive Analytics Helps Providers Address Total Cost of Care

August 11, 2021Garrett SchmittNo CommentsAI, analytics, Artificial Intelligence, care gaps, Care Management, cost of care, productive analytics, value-based care, vbc

Many healthcare systems have made creating high-quality and value-based care a top priority. Southwestern Health Resources (SWHR) used clinical data and predictive analytics to put a total cost of care plan in place to provide affordable and quality care to thousands of patients in North Texas and cost-effective care for their employers. Oftentimes in the healthcare market, purchasers…

AI: The Next Frontier for Healthcare Providers

July 6, 2021Garrett SchmittNo CommentsAI, Cost Reduction, health data, healthcare technology, patient outcomes

The pace of change in the healthcare industry is accelerating with new therapies promising cures to previously debilitating or deadly diseases. Aging populations, and public health crises, such as addiction to opioids, are putting pressure on provider workloads and increasing patient safety risk and negatively affecting patient experience.  Healthcare providers must rise to the challenges…

When AI Meets SDOH

June 15, 2021Garrett SchmittNo CommentsAI, CDC, Data, HOUSES index, Mayo Clinic, NIH, SDOH

Machine learning is getting better at predicting things. There are now algorithms that improve the detection of diabetic retinopathy, predict the onset of sepsis, and help determine a critically ill patient’s risk of dying.  But a piece of wisdom from Warren Buffet comes to mind: “Predicting rain doesn’t matter. Building arks does.” Even the most…

Using AI and social determinants of health to identify risk

June 14, 2021Garrett SchmittNo CommentsAI, Data, healthcare outcomes, provider incentive, risk adjustment, RTI International, SDOH, SRFs, variable importance

There is increased recognition for better methods to measure, predict and adjust for social risk factors in healthcare and population health. Current performance and quality measures generally do not take SRFs into account in the bonus/penalty structure, nor are SRFs generally included in most risk adjustment formulas. This can lead to unintended consequences, including the…

Artificial Intelligence – The Doctor Will See You Now

September 23, 2019Garrett SchmittNo CommentsAI, Artificial Intelligence, hospital readmissions

Imagine the future when you go to your doctor to be treated for some sort of ailment. After collecting and entering key data into an app, she’s presented with a clinical diagnosis and optimal course of treatment, including the correct medications. While she’s there to talk “human-to-human” to the patient, it’s a predictive model and…

Artificial Intelligence in Population Health

July 31, 2019Garrett SchmittNo CommentsAI, Artificial Intelligence

Humans have been interested in artificial intelligence for as long as you or I can remember. If you’re a science fiction fan you’ll have seen it in both good (i.e. Star Trek’s Lt. Commander Data and Star Wars’ C3P0) and bad forms (i.e. The Terminator or Hal 9000 from 2001 – A Space Odyssey) since the 1980s. Suffice to say, we’re still…

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