BACKGROUND: Clinical application of the American College of Cardiology Foundation Appropriate Use Criteria (AUC) represents a potentially feasible alternative to third-party pre-certification for imaging procedures and will soon be required as part of the accreditation process for imaging laboratories. Electronic tools that rapidly apply the AUC are needed in clinical practice. We developed and tested a web-based application of the AUC to track appropriateness of transthoracic echocardiography (TTE). METHODS: Indications for outpatient TTE studies performed in a university hospital echocardiography laboratory were assessed prospectively at the point of service using a prototype web-based AUC application (Echo AUC App). The Echo AUC App was developed on the basis of our own prior published data regarding indication frequency to minimize time and screens required for completion. Echo AUC App-determined indications were compared with blinded investigator-determined indications based on review of relevant medical records. Echo AUC App characteristics, including Echo AUC App entry time, were recorded. RESULTS: Of the 258 studies enrolled, Echo AUC App-determined TTE indications were Appropriate (A) in 77% (n = 198), Inappropriate (I) in 9% (n = 23), and Not Classified (NC) by the AUC in 14% (n = 37). Agreement between Echo AUC App- and investigator-determined classifications was excellent (94%, kappa statistic 0.83). Mean Echo AUC App study entry time was 55 seconds (range 25-280 seconds). CONCLUSION: The use of an electronic application allows rapid and accurate implementation of the AUC for TTE at the point of service. Such an application could be installed in echocardiography laboratories to track appropriateness in accordance with soon-to-be-implemented accreditation requirements. Further study of this Echo AUC App at the point of order may provide an alternative to third-party pre-certification procedures.
BACKGROUND: Clinical application of the American College of Cardiology Foundation Appropriate Use Criteria (AUC) represents a potentially feasible alternative to third-party pre-certification for imaging procedures and will soon be required as part of the accreditation process for imaging laboratories. Electronic tools that rapidly apply the AUC are needed in clinical practice. We developed and tested a web-based application of the AUC to track appropriateness of transthoracic echocardiography (TTE). METHODS: Indications for outpatient TTE studies performed in a university hospital echocardiography laboratory were assessed prospectively at the point of service using a prototype web-based AUC application (Echo AUC App). The Echo AUC App was developed on the basis of our own prior published data regarding indication frequency to minimize time and screens required for completion. Echo AUC App-determined indications were compared with blinded investigator-determined indications based on review of relevant medical records. Echo AUC App characteristics, including Echo AUC App entry time, were recorded. RESULTS: Of the 258 studies enrolled, Echo AUC App-determined TTE indications were Appropriate (A) in 77% (n = 198), Inappropriate (I) in 9% (n = 23), and Not Classified (NC) by the AUC in 14% (n = 37). Agreement between Echo AUC App- and investigator-determined classifications was excellent (94%, kappa statistic 0.83). Mean Echo AUC App study entry time was 55 seconds (range 25-280 seconds). CONCLUSION: The use of an electronic application allows rapid and accurate implementation of the AUC for TTE at the point of service. Such an application could be installed in echocardiography laboratories to track appropriateness in accordance with soon-to-be-implemented accreditation requirements. Further study of this Echo AUC App at the point of order may provide an alternative to third-party pre-certification procedures.
Authors: Weihan Chen; David T Saxon; Michael P Henry; John R Herald; Rob Holleman; Debbie Zawol; Stacy Sivils; Mohamad A Kenaan; Theodore J Kolias; Hitinder S Gurm; Nicole M Bhave Journal: J Am Soc Echocardiogr Date: 2020-11-01 Impact factor: 5.251
Authors: Vinay Kini; Fenton H McCarthy; Sheeva Rajaei; Andrew J Epstein; Paul A Heidenreich; Peter W Groeneveld Journal: Am Heart J Date: 2015-07-26 Impact factor: 4.749
Authors: Saul Blecker; R Sacha Bhatia; John J You; Douglas S Lee; David A Alter; Julie T Wang; Hannah J Wong; Jack V Tu Journal: JACC Cardiovasc Imaging Date: 2013-04
Authors: Behnam Banihashemi; Kasra Maftoon; Benjamin J W Chow; Jordan Bernick; George A Wells; Ian G Burwash Journal: Cardiovasc Ultrasound Date: 2015-01-15 Impact factor: 2.062