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The following was extracted from
Rimma Pivovarov, “Electronic Health Record Summarization over Heterogeneous and
Irregularly Sampled Clinical Data”, PhD dissertation, Columbia University, 2016, retrieved from
https://www.amia.org/sites/default/files/Rimma-Pivovarov-Thesis.pdf

Chapter 2: Background1

2.1

Approaches to EHR summarization

Given the unmet and well-recognized need for comprehensive EHR summarization (Powsner and
Tufte 1994; Payne 2000), many research groups have designed and evaluated clinical data summarizers. In
this chapter, we sample summarization applications to highlight different features including seminal work,
different evaluation strategies, and various input/output data. We also examine the current work and future
directions for six challenges of EHR summarization: information redundancy, temporality, missing data,
salience detection, rules and heuristics, and deployment of summarization tools.
There are multiple theoretical framew