Literature DB >> 28648871

Creation of an Open Framework for Point-of-Care Computer-Assisted Reporting and Decision Support Tools for Radiologists.

Tarik K Alkasab1, Bernardo C Bizzo2, Lincoln L Berland3, Sujith Nair4, Pari V Pandharipande5, H Benjamin Harvey5.   

Abstract

Decreasing unnecessary variation in radiology reporting and producing guideline-concordant reports is fundamental to radiology's success in value-based payment models and good for patient care. In this article, we present an open authoring system for point-of-care clinical decision support tools integrated into the radiologist reporting environment referred to as the computer-assisted reporting and decision support (CAR/DS) framework. The CAR/DS authoring system, described herein, includes: (1) a definition format for representing radiology clinical guidelines as structured, machine-readable Extensible Markup Language documents and (2) a user-friendly reference implementation to test the fidelity of the created definition files with the clinical guideline. The proposed definition format and reference implementation will enable content creators to develop CAR/DS tools that voice recognition software (VRS) vendors can use to extend the commercial tools currently in use. In making the definition format and reference implementation software freely available, we hope to empower individual radiologists, expert groups such as the ACR, and VRS vendors to develop a robust ecosystem of CAR/DS tools that can further improve the quality and efficiency of the patient care that our field provides. We hope that this initial effort can serve as the basis for a community-owned open standard for guideline definition that the imaging informatics and VRS vendor communities will embrace and strengthen. To this end, the ACR Assist™ initiative is intended to make the College's clinical content, including the Incidental Findings Committee White Papers, available for decision support tool creation based upon the herein described CAR/DS framework.
Copyright © 2017 American College of Radiology. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Radiology; clinical decision support; guideline; quality; reporting; standardized; structured; value

Mesh:

Year:  2017        PMID: 28648871     DOI: 10.1016/j.jacr.2017.04.031

Source DB:  PubMed          Journal:  J Am Coll Radiol        ISSN: 1546-1440            Impact factor:   5.532


  11 in total

1.  The ASNR-ACR-RSNA Common Data Elements Project: What Will It Do for the House of Neuroradiology?

Authors:  A E Flanders; J E Jordan
Journal:  AJNR Am J Neuroradiol       Date:  2018-09-20       Impact factor: 3.825

2.  Structured reporting adds clinical value in primary CT staging of diffuse large B-cell lymphoma.

Authors:  Franziska Schoeppe; Wieland H Sommer; Dominik Nörenberg; Mareike Verbeek; Christian Bogner; C Benedikt Westphalen; Martin Dreyling; Ernst J Rummeny; Alexander A Fingerle
Journal:  Eur Radiol       Date:  2018-03-29       Impact factor: 5.315

3.  Utilization of Structured Reporting to Monitor Outcomes of Doppler Ultrasound Performed for Deep Vein Thrombosis.

Authors:  Travis Browning; Sura Giri; Ron Peshock; Julia Fielding
Journal:  J Digit Imaging       Date:  2019-06       Impact factor: 4.056

4.  Radiological Structured Report Integrated with Quantitative Imaging Biomarkers and Qualitative Scoring Systems.

Authors:  A Mañas-García; I González-Valverde; E Camacho-Ramos; A Alberich-Bayarri; J A Maldonado; M Marcos; M Robles
Journal:  J Digit Imaging       Date:  2022-02-01       Impact factor: 4.903

Review 5.  ESR paper on structured reporting in radiology.

Authors: 
Journal:  Insights Imaging       Date:  2018-02-19

6.  Structured Data Capture for Oncology.

Authors:  Alexander K Goel; Walter Scott Campbell; Richard Moldwin
Journal:  JCO Clin Cancer Inform       Date:  2021-02

Review 7.  A scoping review of knowledge authoring tools used for developing computerized clinical decision support systems.

Authors:  Sujith Surendran Nair; Chenyu Li; Ritu Doijad; Paul Nagy; Harold Lehmann; Hadi Kharrazi
Journal:  JAMIA Open       Date:  2021-12-16

8.  Clinical Care of Hyperthyroidism Using Wearable Medical Devices in a Medical IoT Scenario.

Authors:  Lili Wei; Sujuan Hou; Qiuxia Liu
Journal:  J Healthc Eng       Date:  2022-02-23       Impact factor: 2.682

9.  Validation pipeline for machine learning algorithm assessment for multiple vendors.

Authors:  Bernardo C Bizzo; Shadi Ebrahimian; Mark E Walters; Mark H Michalski; Katherine P Andriole; Keith J Dreyer; Mannudeep K Kalra; Tarik Alkasab; Subba R Digumarthy
Journal:  PLoS One       Date:  2022-04-29       Impact factor: 3.240

10.  How to Use LI-RADS to Report Liver CT and MRI Observations.

Authors:  Guilherme M Cunha; Kathryn J Fowler; Alexandra Roudenko; Bachir Taouli; Alice W Fung; Khaled M Elsayes; Robert M Marks; Irene Cruite; Natally Horvat; Victoria Chernyak; Claude B Sirlin; An Tang
Journal:  Radiographics       Date:  2021-07-23       Impact factor: 6.312

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