Hospital-acquired infection is a big problem for hospitals, because it harms patients and because hospitals must cover the costs associated with treating infections acquired in the hospital.
Infection can be spread due to poor hand hygiene by staff, dirty rooms, or poor isolation practices. Finding infection sources in data is very hard. We modeled the hospital stay to help identify areas for improvement.
Michael Zelenetz is a data insights programmer at New York Presbyterian and is wrapping up at Harvard University. He used to save lives as a paramedic, now he uses data to improve care and patient experience.