{"id":193,"date":"2013-10-10T19:03:26","date_gmt":"2013-10-10T19:03:26","guid":{"rendered":"https:\/\/www.telemeddiagnostic.com\/blog\/?p=193"},"modified":"2013-10-10T19:03:37","modified_gmt":"2013-10-10T19:03:37","slug":"automated-feedback-identifies-ecg-signal-issues","status":"publish","type":"post","link":"https:\/\/www.telemeddiagnostic.com\/blog\/articles\/2013\/10\/automated-feedback-identifies-ecg-signal-issues\/","title":{"rendered":"Automated Feedback Identifies ECG Signal Issues"},"content":{"rendered":"

ECG recordings are often corrupted by noise and artefact. Among the undesirable results, there are many false alarms and many patient recalls.<\/p>\n

In order to maintain and improve ECG signal quality, a great deal of attention is paid to factors such as good skin preparation, use of quality electrodes, proper electrode application, good electrode-to-patient contact, artifact elimination and proper lead selection.<\/p>\n

In busy testing organizations, the responsibility for ECG monitoring is shared by a large number of clinicians. Therefore, there must be early recognition of patterns that identify those clinicians who have difficulty in consistently acquiring high-quality ECG signals.<\/p>\n

TeleMED’s Feedback Tool offers Physicians, who are interpreting ECG tests, the opportunity to quickly comment on signal quality, request a patient recall and submit these comments to a centralized database, all from the same screen that is used for interpretation.<\/p>\n

Users who are responsible for monitoring data quality can generate a report showing all instances of feedback and include a notation of the clinician who acquired the data. Here is a sample excerpt:<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Case Number<\/th>\nInterpreting Physician<\/th>\nRecorded By<\/th>\nFeedback Cause<\/th>\nRequested Action<\/th>\n<\/tr>\n
155*******<\/td>\nDr. R*****<\/td>\nBB*****<\/td>\n\u00a0Noise interference<\/td>\nRepeat this test<\/td>\n<\/tr>\n
145*******<\/td>\nDr. M****<\/td>\nKG*****<\/td>\nNoise interference<\/td>\nRepeat this test<\/td>\n<\/tr>\n
163*******<\/td>\nDr. I*****<\/td>\nNG*****<\/td>\nNoise interference<\/td>\nRepeat this test<\/td>\n<\/tr>\n
158*******<\/td>\nDr. R*****<\/td>\nYY*****<\/td>\nBaseline wandering<\/td>\nRepeat this test<\/td>\n<\/tr>\n
159*******<\/td>\nDr. R*****<\/td>\nFK****<\/td>\nBaseline wandering<\/td>\nRepeat this test<\/td>\n<\/tr>\n
153*******<\/td>\nDr. R*****<\/td>\nFK****<\/td>\nLimb leads reversed<\/td>\nRepeat this test<\/td>\n<\/tr>\n
150*******<\/td>\nDr. I*****<\/td>\nFK****<\/td>\nNoise interference<\/td>\nRepeat this test<\/td>\n<\/tr>\n
147*******<\/td>\nDr. A****<\/td>\nRA******<\/td>\nLimb leads reversed<\/td>\nRepeat this test<\/td>\n<\/tr>\n
148*******<\/td>\nDr. A****<\/td>\nRA******<\/td>\nLimb leads reversed<\/td>\nRepeat this test<\/td>\n<\/tr>\n
154*******<\/td>\nDr. M****<\/td>\nRA******<\/td>\nNoise interference<\/td>\nRepeat this test<\/td>\n<\/tr>\n
142*******<\/td>\nDr. I*****<\/td>\nRA******<\/td>\nNoise interference<\/td>\nRepeat this test<\/td>\n<\/tr>\n
156*******<\/td>\nDr. R*****<\/td>\nRA******<\/td>\nNoise interference<\/td>\nRepeat this test<\/td>\n<\/tr>\n
152*******<\/td>\nDr. R*****<\/td>\nEY**********<\/td>\nLimb leads reversed<\/td>\nRepeat this test<\/td>\n<\/tr>\n
161*******<\/td>\nDr. R*****<\/td>\nEY**********<\/td>\nLimb leads reversed<\/td>\nRepeat this test<\/td>\n<\/tr>\n
149*******<\/td>\nDr. A****<\/td>\nEY**********<\/td>\nLimb leads reversed<\/td>\nRepeat this test<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n

To add context and greater meaning to the data in this report, the user can sort data to generate secondary reports. The excerpt below shows such a report.<\/p>\n\n\n\n\n\n\n\n\n\n\n\n
User<\/th>\n# of ECGs with Feedback<\/th>\n# of Total ECGs Recorded<\/th>\n% of Tests with Feedback<\/th>\n<\/tr>\n
AD****<\/td>\n1<\/td>\n86<\/td>\n1.16%<\/td>\n<\/tr>\n
BW*****<\/td>\n2<\/td>\n30<\/td>\n6.67%<\/td>\n<\/tr>\n
EY******<\/td>\n4<\/td>\n71<\/td>\n5.63%<\/td>\n<\/tr>\n
FK********<\/td>\n3<\/td>\n49<\/td>\n6.12%<\/td>\n<\/tr>\n
MH******<\/td>\n2<\/td>\n129<\/td>\n1.55%<\/td>\n<\/tr>\n
OS*****<\/td>\n2<\/td>\n144<\/td>\n1.39%<\/td>\n<\/tr>\n
RA*******<\/td>\n5<\/td>\n73<\/td>\n6.85%<\/td>\n<\/tr>\n
YY******<\/td>\n1<\/td>\n46<\/td>\n2.17%<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n","protected":false},"excerpt":{"rendered":"

In order to maintain and improve ECG signal quality, a great deal of attention is paid to factors such as good skin preparation, use of quality electrodes, proper electrode application, good electrode-to-patient contact, artifact elimination and proper lead selection.… Read more<\/em> ><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[3],"tags":[],"yoast_head":"\nAutomated Feedback Identifies ECG Signal Issues<\/title>\n<meta name=\"description\" content=\"Feedback Tool offers Physicians the opportunity to quickly comment on signal quality, request a patient recall and submit comments to a centralized database\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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