Drug Limit Library Database and Research

The Problem

The infusion drug alert data and knowledge sharing within this Infusion Pump community of practice, along with the various reporting tools on the system, provide clinicians with in-depth information on medication infusions and their alerts. Many Infusion Pump Informatics System users, researchers, and organizations see the value in creating a database of drug limit libraries (DLLs) in addition to the alert database already in place.

Objectives

This project consists of two phases. Phase I aims to construct a DLL database of IPI System users’ drug limits. Phase II aims to utilize such a database to understand the settings of drug limits and other relevant questions.

Questions of interest include:

  1. Which drugs are reviewed the most?
  2. Is there a convergence in drug limits for the community?
  3. Do those who access the database make more changes?
    • Do those who access the database have more of a decrease in the number of alerts/device?

Methodology

The construction of the DLL database will utilize database programming and visualization technologies and be based on HUBzero. Statistics, time series analysis, pattern mining and machine learning techniques will be applied to study drug limits across hospitals, care units, drug types, etc. 

Potential Impact

A searchable drug limit library database will allow clinicians and researchers to quickly find the limits hospitals set for a particular drug, compare how drug limits differ from one hospital or care unit to another, and how the limits evolved over time. The DLL database can also serve as the basis for what may become a commercial-grade product and be used as a model for other similar applications. The analysis of drug limits across hospitals, care units, and drug types will enable the researchers to study the characteristics of various drug limits, how the IPI community’s knowledge diffuses, and what its potential impact on clinical practice may be over time.

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