Literature DB >> 27743142

The RADCAT-3 system for closing the loop on important non-urgent radiology findings: a multidisciplinary system-wide approach.

Elizabeth H Dibble1, David W Swenson2, Cynthia Cobb2, Timothy J Paul3, Andrew E Karn3, David C Portelli4, Jonathan S Movson2.   

Abstract

The goal of this project was to create a system that was easy for radiologists to use and that could reliably identify, communicate, and track communication of important but non-urgent radiology findings to providers and patients. Prior to 2012, our workflow for communicating important non-urgent diagnostic imaging results was cumbersome, rarely used by our radiologists, and resulted in delays in report turnaround time. In 2012, we developed a new system to communicate important non-urgent findings (the RADiology CATegorization 3 (RADCAT-3) system) that was easy for radiologists to use and documented communication of results in the electronic medical record. To evaluate the performance of the new system, we reviewed our radiology reports before (June 2011-June 2012) and after (June 2012-June 2014) the implementation of the new system to compare utilization by the radiologists and success in communicating these findings. During the 12 months prior to implementation, 250 radiology reports (0.06 % of all reports) entered our workflow for communicating important non-urgent findings. One-hundred percent were successfully communicated. During the 24 months after implementation, 13,158 radiology reports (1.4 % of all reports) entered our new RADCAT-3 workflow (3995 (0.8 % of all reports) during year 1 and 9163 (1.9 % of all reports) during year 2). 99.7 % of those reports were successfully communicated. We created a reliable system to ensure communication of important but non-urgent findings with providers and/or patients and to document that communication in the electronic medical record. The rapid adoption of the new system by radiologists suggests that they found it easy to use and had confidence in its integrity. This system has the potential to improve patient care by improving the likelihood of appropriate follow-up for important non-urgent findings that could become life threatening.

Entities:  

Keywords:  Follow-up imaging; Incidental findings; Information technology solutions; Practice management

Mesh:

Year:  2016        PMID: 27743142     DOI: 10.1007/s10140-016-1452-8

Source DB:  PubMed          Journal:  Emerg Radiol        ISSN: 1070-3004


  31 in total

1.  Communicating findings: a justification and framework for direct radiologic disclosure to patients.

Authors:  Ian Amber; Autumn Fiester
Journal:  AJR Am J Roentgenol       Date:  2013-03       Impact factor: 3.959

2.  Lack of timely follow-up of abnormal imaging results and radiologists' recommendations.

Authors:  Aymer Al-Mutairi; Ashley N D Meyer; Paul Chang; Hardeep Singh
Journal:  J Am Coll Radiol       Date:  2015-01-10       Impact factor: 5.532

3.  Radiologists' role in the communication of imaging examination results to patients: perceptions and preferences of patients.

Authors:  Mark D Mangano; Arifeen Rahman; Garry Choy; Dushyant V Sahani; Giles W Boland; Andrew J Gunn
Journal:  AJR Am J Roentgenol       Date:  2014-11       Impact factor: 3.959

4.  Automated detection using natural language processing of radiologists recommendations for additional imaging of incidental findings.

Authors:  Sayon Dutta; William J Long; David F M Brown; Andrew T Reisner
Journal:  Ann Emerg Med       Date:  2013-03-30       Impact factor: 5.721

5.  Design and implementation of a web-based patient portal linked to an ambulatory care electronic health record: patient gateway for diabetes collaborative care.

Authors:  Richard W Grant; Jonathan S Wald; Eric G Poon; Jeffrey L Schnipper; Tejal K Gandhi; Lynn A Volk; Blackford Middleton
Journal:  Diabetes Technol Ther       Date:  2006-10       Impact factor: 6.118

6.  Outcome of examinations self-referred as a result of spiral CT of the abdomen.

Authors:  D A Baumgarten; R C Nelson
Journal:  Acad Radiol       Date:  1997-12       Impact factor: 3.173

7.  Correlation of the Strength of Recommendations for Additional Imaging to Adherence Rate and Diagnostic Yield.

Authors:  H Benjamin Harvey; Carol C Wu; Matthew D Gilman; Vartan Vartanians; Elkan F Halpern; Pari V Pandharipande; Joanne O Shepard; Tarik K Alkasab
Journal:  J Am Coll Radiol       Date:  2015-06-17       Impact factor: 5.532

8.  Electronic health record-based triggers to detect potential delays in cancer diagnosis.

Authors:  Daniel R Murphy; Archana Laxmisan; Brian A Reis; Eric J Thomas; Adol Esquivel; Samuel N Forjuoh; Rohan Parikh; Myrna M Khan; Hardeep Singh
Journal:  BMJ Qual Saf       Date:  2013-07-19       Impact factor: 7.035

9.  Efficiency of a semiautomated coding and review process for notification of critical findings in diagnostic imaging.

Authors:  Vaishali R Choksi; Charles S Marn; Yvonne Bell; Ruth Carlos
Journal:  AJR Am J Roentgenol       Date:  2006-04       Impact factor: 3.959

10.  Improving follow-up of abnormal cancer screens using electronic health records: trust but verify test result communication.

Authors:  Hardeep Singh; Lindsey Wilson; Laura A Petersen; Mona K Sawhney; Brian Reis; Donna Espadas; Dean F Sittig
Journal:  BMC Med Inform Decis Mak       Date:  2009-12-09       Impact factor: 2.796

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  4 in total

1.  Survey of radiologists and emergency department providers after implementation of a global radiology report categorization system.

Authors:  Eric L Tung; Elizabeth H Dibble; Gaurav Jindal; Jonathan S Movson; David W Swenson
Journal:  Emerg Radiol       Date:  2020-07-28

2.  Augmented intelligence with natural language processing applied to electronic health records for identifying patients with non-alcoholic fatty liver disease at risk for disease progression.

Authors:  Tielman T Van Vleck; Lili Chan; Steven G Coca; Catherine K Craven; Ron Do; Stephen B Ellis; Joseph L Kannry; Ruth J F Loos; Peter A Bonis; Judy Cho; Girish N Nadkarni
Journal:  Int J Med Inform       Date:  2019-07-06       Impact factor: 4.046

3.  Pilot study of a new comprehensive radiology report categorization (RADCAT) system in the emergency department.

Authors:  David W Swenson; Grayson L Baird; David C Portelli; Martha B Mainiero; Jonathan S Movson
Journal:  Emerg Radiol       Date:  2017-11-08

4.  Analysis of Radiology Report Recommendation Characteristics and Rate of Recommended Action Performance.

Authors:  Tiantian White; Mark D Aronson; Scot B Sternberg; Umber Shafiq; Seth J Berkowitz; James Benneyan; Russell S Phillips; Gordon D Schiff
Journal:  JAMA Netw Open       Date:  2022-07-01
  4 in total

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