Identifying Outcomes of Care from Medical Records to Improve Doctor-Patient Communication
Abstract
Between appointments, healthcare providers have limited interaction with their
patients, but patients have similar patterns of care. Medications have common side
effects; injuries have an expected healing time; and so on. By modeling patient
interventions with outcomes, healthcare systems can equip providers with better
feedback. In this work, we present a pipeline for analyzing medical records according
to an ontology directed at allowing closed-loop feedback between medical encounters.
Working with medical data from multiple domains, we use a combination of data
processing, machine learning, and clinical expertise to extract knowledge from patient
records. While our current focus is on technique, the ultimate goal of this research is
to inform development of a system using these models to provide knowledge-driven
clinical decision-making.
Subject
biomedical informaticsontology
natural language processing
machine learning
clustering
outcomes of care
redaction
episodes of care
corpus annotation
Citation
Polsley, Seth C (2017). Identifying Outcomes of Care from Medical Records to Improve Doctor-Patient Communication. Master's thesis, Texas A & M University. Available electronically from https : / /hdl .handle .net /1969 .1 /166089.