Related Experiment Video
Updated: Jun 4, 2026

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
Published on: September 20, 2018
Cognitive analysis of the summarization of longitudinal patient records
Daniel Reichert1, David Kaufman, Benjamin Bloxham
1Department of Biomedical Informatics, Columbia University, New York, NY.
Abstract:
Electronic health records contain an abundance of valuable information that can be used to guide patient care. However, the large volume of information embodied in these records also renders access to relevant information a time-consuming and inefficient process. Our ultimate objective is to develop an automated summarizer that succinctly captures all relevant information in the patient record. In this paper, we present a cognitive study of 8 clinicians who were asked to create summaries based on data contained in the patients' electronic health record. The study characterized the primary sources of information that were prioritized by clinicians, the temporal strategies used to develop a summary and the cognitive operations used to guide the summarization process. Although we would not expect the automated summarizer to emulate human performance, we anticipate that this study will inform its development in instrumental ways.
Related Concept Videos
Longitudinal Studies
Purpose of Health Records I
Here's a breakdown of how health records serve these purposes:
Introduction To Survival Analysis
The primary goal of survival analysis is to estimate survival time—the time until a...
Data Reporting and Recording
Longitudinal Research
Methods of Documentation I: Source-Oriented Records
In an SOR, each discipline involved in patient care maintains a separate medical record section. This record-keeping method enables easy tracking of patient progress and ensures healthcare staff have access to up-to-date information.
Key Attributes include the following: