Developing an automated database for monitoring ultrasound- and computed tomography-guided procedure complications and diagnostic yield.
J Digit Imaging
; 27(2): 270-9, 2014 Apr.
Article
in En
| MEDLINE
| ID: mdl-24146357
Monitoring complications and diagnostic yield for image-guided procedures is an important component of maintaining high quality patient care promoted by professional societies in radiology and accreditation organizations such as the American College of Radiology (ACR) and Joint Commission. These outcome metrics can be used as part of a comprehensive quality assurance/quality improvement program to reduce variation in clinical practice, provide opportunities to engage in practice quality improvement, and contribute to developing national benchmarks and standards. The purpose of this article is to describe the development and successful implementation of an automated web-based software application to monitor procedural outcomes for US- and CT-guided procedures in an academic radiology department. The open source tools PHP: Hypertext Preprocessor (PHP) and MySQL were used to extract relevant procedural information from the Radiology Information System (RIS), auto-populate the procedure log database, and develop a user interface that generates real-time reports of complication rates and diagnostic yield by site and by operator. Utilizing structured radiology report templates resulted in significantly improved accuracy of information auto-populated from radiology reports, as well as greater compliance with manual data entry. An automated web-based procedure log database is an effective tool to reliably track complication rates and diagnostic yield for US- and CT-guided procedures performed in a radiology department.
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Tomography, X-Ray Computed
/
Radiography, Interventional
/
Databases, Factual
/
Radiology Information Systems
/
Ultrasonography, Interventional
Type of study:
Diagnostic_studies
/
Guideline
/
Observational_studies
Limits:
Humans
Language:
En
Journal:
J Digit Imaging
Journal subject:
DIAGNOSTICO POR IMAGEM
/
INFORMATICA MEDICA
/
RADIOLOGIA
Year:
2014
Document type:
Article
Country of publication:
United States