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July 05-06, 2019 | Paris, France

Pharmaceutics and Advanced Drug Delivery Systems

2

nd

International Conference and Exhibition on

Asian Journal of Biomedical and Pharmaceutical Sciences | ISSN:2249-622X | Volume 9

Outcomes of integrating smart phrase interface technology to improve cancer

symptom management

Marlene Dufault

University of Rhode Island, USA

Purpose:

Using default’s collaborative translational research

model, this study’s goal is to integrate, evaluate, and sustain,

anevidence-baseduser- friendly smart phraseembedded into

the emr to improve remote symptom management by cuing

telephone triage nurses’ assessments in a comprehensive

cancer institute.

Background/significance:

Managing cancer symptoms is

challenging for frontline tele-triage nurses to get patients

to the most appropriate levels of care. Earliest descriptive

studies indicate that toggling multiple emr screens to assess

toxicity risk while providing emotional support over the phone

to vulnerable patients may cause missed communications,

error, and dissatisfaction. Smart phrase technology to improve

symptom management is not widely used nor outcome

tested. This study aims to test a tele-smart phrase-emr

interface to improve nurse-sensitive patient outcomes and

nurse satisfaction.

Methods:

Repeated-measures design will compare

nurse-sensitive quality variables along a 5-point pre/post

implementation trajectory in a multi-site cancer institute

serving 14,000 patients. Outcome data from outpatient

oncology satisfaction surveys include:managing chemotherapy

side effects, education for fatigue management, appetite

loss, and emotional needs met, home-based education,

pain control, and perceived safety/security. LifeChat epic

databases will measure nurse-sensitive changes in er visits and

appointments within 24 hours. 375 tele-triaged calls at each

of 5 data-collection points will be analyzed using generalized

linear mixed models to construct hierarchical regressions to

model outcomes. Changes in nurse satisfaction and usability

will also be tested.

Conclusions/implications:

Integrating smart phrase tele-

emr-interface well-embedded in practice, documented in the

emr, highly reliable, & widely disseminated holds promise

for improving assessment to reduce treatment toxicity risk,

optimize symptom management, and quantify the impact of

patient engagement on quality/safety.

e

:

mdufault@uri.edu

Asian J Biomed Pharmaceut Sci, | ISSN: 2249-622X

Volume 9