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An Automated Patient Chart Error Detection System for Radiation Therapy

Award Information
Agency: Department of Health and Human Services
Branch: National Institutes of Health
Contract: 1R41CA195819-01A1
Agency Tracking Number: R41CA195819
Amount: $275,000.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: 101
Solicitation Number: PA15-270
Timeline
Solicitation Year: 2015
Award Year: 2016
Award Start Date (Proposal Award Date): 2016-09-06
Award End Date (Contract End Date): 2018-02-28
Small Business Information
2500 CROSSPARK RD STE E152
Coralville, IA 52241-4710
United States
DUNS: 079272783
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 JUNYI XIA
 (319) 356-2146
 junyi-xia@uiowa.edu
Business Contact
 JUNYI XIA
Phone: (319) 356-2146
Email: contact@infondrian.com
Research Institution
 UNIVERSITY OF IOWA
 
2 GILMORE HALL, 112 N CAPITOL STREET
IOWA CITY, IA 52242-1320
United States

 Nonprofit college or university
Abstract

Project Summary Abstract
Every year approximately severe mistreatments happen in radiation therapy Radiation therapy lawsuits
rank in the top third of all medical specialties with an average of $ per claim settled or litigated The
current method for detecting treatment errors is by a weekly patient chart check where each treatment record
is manually reviewed on a weekly basis This labor intensive and inefficient method prevents us from detecting
the treatment error at an early stage Here we propose a novel software system ChartAlert for automating
patient chart checking ChartAlert is a near real time adaptive electronic checking system that can be
configured to support different clinical workflows and different sources of patient treatment chart data in
radiotherapy We have already developed preliminary software based on the clinical workflow of our clinics
Our preliminary data indicated its effectiveness in automated patient chart checking In this proposal we will
extend ChartAlert to general radiation oncology clinics We will demonstrate the feasibility of the ChartAlert
approach and its advantages over the standard manual checking method We will determine the software
specifications design and implement a proof of concept system and verify the proposed system at the partner
site Successful completion of these aims will demonstrate the feasibility and commercial potential of the
ChartAlert approach Ultimately this work will result in an intelligent patient chart checking software which will
increase patient chart check efficiency save staff time improve cancer patient treatment safety and
preventing potential lawsuits Project Narrative
Treatment errors in radiation oncology occur at a rate of per patient and radiation therapy lawsuits rank in
the top third of all medical specialties with regard to claims made claims paid and damages Current methods
of detecting treatment errors are manual and inefficient There is a critical need for efficient treatment error
detection in order to save cost and improve patient safety We propose to develop a scalable and
comprehensive software system ChartAlert for automated patient chart error detection in radiation therapy
ChartAlert can be extended to other types of patient charts to check treatment and prescription consistency
and improve patient safety such as emergency medicine and pharmacy

* Information listed above is at the time of submission. *

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