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Updated: Jul 15, 2026

Improving IV Insulin Administration in a Community Hospital

Improving IV Insulin Administration in a Community Hospital

Published on: June 11, 2012

Improving outcomes for high-risk diabetics using information systems.

A John Orzano¹, Pamela Ohman Strickland, Alfred F Tallia

¹Department of Family Medicine/Research Division, University of Medicine and Dentistry of New Jersey-Robert Wood Johnson Medical School, Somerset, NJ 08873, USA. orzanoaj@umdnj.edu

Journal of the American Board of Family Medicine : JABFM

|May 5, 2007

Summary

Simple information systems significantly improve diabetes care outcomes by enhancing patient tracking and identification. Electronic health records alone do not guarantee better clinical results; organizational factors are key.

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Last Updated: Jul 15, 2026

Improving IV Insulin Administration in a Community Hospital

Improving IV Insulin Administration in a Community Hospital

Published on: June 11, 2012

Area of Science:

Primary Care Research
Health Informatics
Diabetes Management

Background:

Effective diabetes care necessitates managing complex clinical information.
This study investigates the link between information practices and patient outcomes in diabetes care.

Purpose of the Study:

To analyze the relationship between primary care practices' information system usage and patient outcomes for diabetes.
To determine if information identification and tracking systems impact the achievement of clinical targets for diabetes and hypertension.

Main Methods:

Secondary analysis of baseline data from 50 community primary care practices.
Assessed clinical targets (HbA1c, LDL, BP) via medical record review.
Used hierarchical linear modeling to examine information system use (identification, tracking) and Electronic Health Record (EHR) presence against patient outcomes, controlling for covariates.

Main Results:

Increased use of patient identification and tracking systems significantly improved odds of achieving diabetes care targets (OR 1.23-1.32).
For diabetic patients with hypertension, higher use of tracking systems correlated with better hypertension control (OR 1.52).
Electronic Health Record (EHR) presence was not significantly associated with achieving clinical targets.

Conclusions:

Implementing straightforward patient identification and tracking systems can enhance diabetes care outcomes.
Investment in Electronic Health Records (EHRs) alone is insufficient for optimal clinical outcomes; organizational factors are crucial.
Further research is needed to understand the interplay of organizational factors essential for effective information utilization in healthcare practices.