A child's case record may be accurate, but it's rarely complete. Drawing on a visit with a teenager in detention, this post explores the gap between what records say about children and who they really are, and how the details caseworkers write down can help close it. It also shares practical lessons for agencies starting to learn from their case notes, including how one agency traced a surprising gap in substance use treatment back to its root cause.

Illinois DCFS used Augintel's child welfare AI to analyze 16,000 unique family records and see how much biased language was present, and for which cases and organizations it was most prevalent.

Dr. McCoy looks at the impact of social issues when treating mental health and the role Natural Language Processing (NLP) can play in helping to uncover them

In the third blog of her series, Dr. McCoy looks at how the notes from casual conversations between caretakers and patients can help uncover Social Determinants of Health (SDoH)

In the second blog in her series, Dr. McCoy looks at the ability to uncover DSoH without waiting for formal screening tools.

Dr Kristine McCoy shares her insights on EHRA's newest white paper on capturing social determinants of health (SDoH)

Caseworker safety alerts provide staff more than just a "heads up"

In the first of a series of blogs that look at artificial intelligence (AI) in health and human services, Augintel data scientist, Gus Carlock examines the differences between predictive analytics and NLP

The theme at the APHSA was "now is the time" for innovation and change.

Our friend Carole Hussey, CEO Evolv Strategies and longtime child welfare technology expert looks at a different approach to CCWIS

Our team attended HIMSS '22 which included attending many informative sessions, visits to the exhibit floor and countless great conversations.

The increased focus on the Natural Language Processing capabilities of AI mean that companies are investing in developing NLP solutions. Nowhere is that more important than child welfare.