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Automatically analyze imaging to rapidly identify abnormalities
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Learn more about Aidoc’s approach, mission and leadership team that is revolutionizing healthcare with AI.
Learn moreExplore how Aidoc’s clinical AI solutions can increase hospital efficiency, show proven return on investment, and help enable better outcomes.
Learn moreImproving the lives of patients across the care continuum
Setting the standard for neuro care with real time notification
Automatically analyze imaging to rapidly identify abnormalities
Discover how Aidoc’s AI platform offers seamless end-to-end integration into a facility’s existing IT infrastructure enabling implementation of AI at scale.
Learn moreAidoc’s proprietary enterprise platform
Connect the right users across workflows
Ensure patients are identified, captured and followed
Custom configuration with minimal IT lift
Vetted third-party algorithm developers and OEMs
Information and resources about AI transformation rooted in real-world experiences.
Learn MoreLearn how to go beyond the algorithm to develop a scalable AI strategy and implementation plan.
Learn more about Aidoc’s approach, mission and leadership team that is revolutionizing healthcare with AI.
Learn moreThis retrospective single-center study included patients who underwent CTPA before (between Oct. 1, 2018 and March 31, 2019; pre-AI period) and after (between Oct. 1, 2019 and March 31, 2020; post-AI period) implementation of an AI tool that reprioritized CTPA examinations to the top of radiologists’ reading worklist if detecting acute PE. EMR and dictation system timestamps were used to determine examinations’ wait time (time from examination completion to report initiation), read time (time from report initiation to report availability), and report turnaround time (sum of wait and read times). Times for reports positive for PE, using final radiology reports as reference, were compared between periods.
The study included 2,501 examinations in 2,197 patients (mean age, 57.4±17.0 years years; 1,307 women, 890 men), including 1,166 and 1,335 examinations from pre-AI and post-AI period, respectively. For PE-positive examinations, post-AI period, compared to pre-AI period, showed significantly shorter mean report turnaround time [47.6 vs 59.9 minutes; mean difference, 12.2 minutes (95% CI, 0.6-26.0 minutes)] and mean wait time [21.4 vs 33.4 minutes; mean difference, 12.0 minutes (95% CI, 0.9-25.3 minutes)]. During regular operational hours, wait time was significantly shorter in post-AI than pre-AI period for routine-priority examinations [15.3 vs 43.7 minutes; mean difference, 28.4 minutes (95% CI, 2.2-64.7 minutes)].
AI-driven worklist reprioritization yielded reductions in report turnaround time and wait time for PE-positive CPTA examinations.
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