Applications of Artificial Intelligence in the Radiology Roundtrip: Process Streamlining, Workflow Optimization, and Beyond.
There are many impactful applications of artificial intelligence (AI) in the electronic radiology roundtrip and the patient's journey through the healthcare system that go beyond diagnostic applications. These tools have the potential to improve quality and safety, optimize workflow, increase effici...
| Publicado en: | Seminars in Roentgenology Vol. 58; no. 2; pp. 158 - 170 |
|---|---|
| Autores principales: | , , , , , , , , , |
| Formato: | review Journal Article |
| Publicado: |
W B Saunders
Apr2023
|
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=163226693&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 163226693 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 0037198X 4GZ jtl: Seminars in Roentgenology issn: 0037198X maglogo: N pubinfo: dt: Apr2023 vid: 58 iid: 2 pid: 1351 pub: W B Saunders place: Philadelphia, Pennsylvania artinfo: ui: 163226693 163226693 163226693 10.1053/j.ro.2023.02.003 163226693 ppf: 158 ppct: 12 formats: tig: atl: Applications of Artificial Intelligence in the Radiology Roundtrip: Process Streamlining, Workflow Optimization, and Beyond. aug: au: Pierre, Kevin Haneberg, Adam G. Kwak, Sean Peters, Keith R. Hochhegger, Bruno Sananmuang, Thiparom Tunlayadechanont, Padcha Tighe, Patrick J. Mancuso, Anthony Forghani, Reza affil: Radiomics and Augmented Intelligence Laboratory (RAIL), Department of Radiology and the Norman Fixel Institute for Neurological Diseases, University of Florida College of Medicine, Gainesville, FL sug: subj: Artificial Intelligence Evaluation Artificial Intelligence Utilization Radiology Service Workflow Image Interpretation, Computer Assisted Patient Care Patient Satisfaction ab: There are many impactful applications of artificial intelligence (AI) in the electronic radiology roundtrip and the patient's journey through the healthcare system that go beyond diagnostic applications. These tools have the potential to improve quality and safety, optimize workflow, increase efficiency, and increase patient satisfaction. In this article, we review the role of AI for process improvement and workflow enhancement which includes applications beginning from the time of order entry, scan acquisition, applications supporting the image interpretation task, and applications supporting tasks after image interpretation such as result communication. These non-diagnostic workflow and process optimization tasks are an important part of the arsenal of potential AI tools that can streamline day to day clinical practice and patient care. pubtype: Academic Journal doctype: review Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
|---|