Automating Clinical Score Calculation within the Electronic Health Record. A Feasibility Assessment.

ABSTRACT:

Objectives

Evidence-based clinical scores are used frequently in clinical practice, but data collection and data entry can be time consuming and hinder their use. We investigated the programmability of 168 common clinical calculators for automation within electronic health records.

Methods

We manually reviewed and categorized variables from 168 clinical calculators as being extractable from structured data, unstructured data, or both. Advanced data retrieval methods from unstructured data sources were tabulated for diagnoses, non-laboratory test results, clinical history, and examination findings.

Results

We identified 534 unique variables, of which 203/534 (37.8%) were extractable from structured data and 269/534 (50.4.7%) were potentially extractable using advanced

SUBMITTER: Aakre C 

PROVIDER: S-EPMC6241755 | biostudies-literature | 2017 Apr

REPOSITORIES: biostudies-literature