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Study protocol for a prospective, double-blinded, observational study investigating the diagnostic accuracy of an app-based diagnostic health care application in an emergency room setting: the eRadaR trial

INTRODUCTION: Occurrence of inaccurate or delayed diagnoses is a significant concern in patient care, particularly in emergency medicine, where decision making is often constrained by high throughput and inaccurate admission diagnoses. Artificial intelligence-based diagnostic decision support system...

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Autores principales: Faqar-Uz-Zaman, S Fatima, Filmann, Natalie, Mahkovic, Dora, von Wagner, Michael, Detemble, Charlotte, Kippke, Ulf, Marschall, Ursula, Anantharajah, Luxia, Baumartz, Philipp, Sobotta, Paula, Bechstein, Wolf O, Schnitzbauer, Andreas A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7798704/
https://www.ncbi.nlm.nih.gov/pubmed/33419909
http://dx.doi.org/10.1136/bmjopen-2020-041396
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author Faqar-Uz-Zaman, S Fatima
Filmann, Natalie
Mahkovic, Dora
von Wagner, Michael
Detemble, Charlotte
Kippke, Ulf
Marschall, Ursula
Anantharajah, Luxia
Baumartz, Philipp
Sobotta, Paula
Bechstein, Wolf O
Schnitzbauer, Andreas A
author_facet Faqar-Uz-Zaman, S Fatima
Filmann, Natalie
Mahkovic, Dora
von Wagner, Michael
Detemble, Charlotte
Kippke, Ulf
Marschall, Ursula
Anantharajah, Luxia
Baumartz, Philipp
Sobotta, Paula
Bechstein, Wolf O
Schnitzbauer, Andreas A
author_sort Faqar-Uz-Zaman, S Fatima
collection PubMed
description INTRODUCTION: Occurrence of inaccurate or delayed diagnoses is a significant concern in patient care, particularly in emergency medicine, where decision making is often constrained by high throughput and inaccurate admission diagnoses. Artificial intelligence-based diagnostic decision support system have been developed to enhance clinical performance by suggesting differential diagnoses to a given case, based on an integrated medical knowledge base and machine learning techniques. The purpose of the study is to evaluate the diagnostic accuracy of Ada, an app-based diagnostic tool and the impact on patient outcome. METHODS AND ANALYSIS: The eRadaR trial is a prospective, double-blinded study with patients presenting to the emergency room (ER) with abdominal pain. At initial contact in the ER, a structured interview will be performed using the Ada-App and both, patients and attending physicians, will be blinded to the proposed diagnosis lists until trial completion. Throughout the study, clinical data relating to diagnostic findings and types of therapy will be obtained and the follow-up until day 90 will comprise occurrence of complications and overall survival of patients. The primary efficacy of the trial is defined by the percentage of correct diagnoses suggested by Ada compared with the final discharge diagnosis. Further, accuracy and timing of diagnosis will be compared with decision making of classical doctor–patient interaction. Secondary objectives are complications, length of hospital stay and overall survival. ETHICS AND DISSEMINATION: Ethical approval was received by the independent ethics committee (IEC) of the Goethe-University Frankfurt on 9 April 2020 including the patient information material and informed consent form. All protocol amendments must be reported to and adapted by the IEC. The results from this study will be submitted to peer-reviewed journals and reported at suitable national and international meetings. TRIAL REGISTRATION NUMBER: DRKS00019098.
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spelling pubmed-77987042021-01-21 Study protocol for a prospective, double-blinded, observational study investigating the diagnostic accuracy of an app-based diagnostic health care application in an emergency room setting: the eRadaR trial Faqar-Uz-Zaman, S Fatima Filmann, Natalie Mahkovic, Dora von Wagner, Michael Detemble, Charlotte Kippke, Ulf Marschall, Ursula Anantharajah, Luxia Baumartz, Philipp Sobotta, Paula Bechstein, Wolf O Schnitzbauer, Andreas A BMJ Open Surgery INTRODUCTION: Occurrence of inaccurate or delayed diagnoses is a significant concern in patient care, particularly in emergency medicine, where decision making is often constrained by high throughput and inaccurate admission diagnoses. Artificial intelligence-based diagnostic decision support system have been developed to enhance clinical performance by suggesting differential diagnoses to a given case, based on an integrated medical knowledge base and machine learning techniques. The purpose of the study is to evaluate the diagnostic accuracy of Ada, an app-based diagnostic tool and the impact on patient outcome. METHODS AND ANALYSIS: The eRadaR trial is a prospective, double-blinded study with patients presenting to the emergency room (ER) with abdominal pain. At initial contact in the ER, a structured interview will be performed using the Ada-App and both, patients and attending physicians, will be blinded to the proposed diagnosis lists until trial completion. Throughout the study, clinical data relating to diagnostic findings and types of therapy will be obtained and the follow-up until day 90 will comprise occurrence of complications and overall survival of patients. The primary efficacy of the trial is defined by the percentage of correct diagnoses suggested by Ada compared with the final discharge diagnosis. Further, accuracy and timing of diagnosis will be compared with decision making of classical doctor–patient interaction. Secondary objectives are complications, length of hospital stay and overall survival. ETHICS AND DISSEMINATION: Ethical approval was received by the independent ethics committee (IEC) of the Goethe-University Frankfurt on 9 April 2020 including the patient information material and informed consent form. All protocol amendments must be reported to and adapted by the IEC. The results from this study will be submitted to peer-reviewed journals and reported at suitable national and international meetings. TRIAL REGISTRATION NUMBER: DRKS00019098. BMJ Publishing Group 2021-01-07 /pmc/articles/PMC7798704/ /pubmed/33419909 http://dx.doi.org/10.1136/bmjopen-2020-041396 Text en © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Surgery
Faqar-Uz-Zaman, S Fatima
Filmann, Natalie
Mahkovic, Dora
von Wagner, Michael
Detemble, Charlotte
Kippke, Ulf
Marschall, Ursula
Anantharajah, Luxia
Baumartz, Philipp
Sobotta, Paula
Bechstein, Wolf O
Schnitzbauer, Andreas A
Study protocol for a prospective, double-blinded, observational study investigating the diagnostic accuracy of an app-based diagnostic health care application in an emergency room setting: the eRadaR trial
title Study protocol for a prospective, double-blinded, observational study investigating the diagnostic accuracy of an app-based diagnostic health care application in an emergency room setting: the eRadaR trial
title_full Study protocol for a prospective, double-blinded, observational study investigating the diagnostic accuracy of an app-based diagnostic health care application in an emergency room setting: the eRadaR trial
title_fullStr Study protocol for a prospective, double-blinded, observational study investigating the diagnostic accuracy of an app-based diagnostic health care application in an emergency room setting: the eRadaR trial
title_full_unstemmed Study protocol for a prospective, double-blinded, observational study investigating the diagnostic accuracy of an app-based diagnostic health care application in an emergency room setting: the eRadaR trial
title_short Study protocol for a prospective, double-blinded, observational study investigating the diagnostic accuracy of an app-based diagnostic health care application in an emergency room setting: the eRadaR trial
title_sort study protocol for a prospective, double-blinded, observational study investigating the diagnostic accuracy of an app-based diagnostic health care application in an emergency room setting: the eradar trial
topic Surgery
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7798704/
https://www.ncbi.nlm.nih.gov/pubmed/33419909
http://dx.doi.org/10.1136/bmjopen-2020-041396
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