Making Assessment Data Meaningful at the Local Level With Machine Learning

Making Assessment Data Meaningful at the Local Level With Machine Learning

ery day, across the country, mental health workers are filling out assessments. Every minute, the mountain of information on individuals of all ages is growing. Their stories, caught in multiple choice sized chunks, are being held in bits and pieces, on 8.5 x 11 papers and digital forms, in file cabinets and on secure network drives, in offices and in the cloud. Why? For what end?