Laurie Lafleur

IS
How IT innovation can improve healthcare in Canada
While Canadians fiercely defend their country's healthcare system and its universal access to care, the Canadian model suffers from woes such as long wait times and a shortage of physicians. Laurie Lafleur of Paragon Consulting Partners suggests that innovation in healthcare IT can help address some of these shortcomings.
May 27, 2018
2017 03 08 14 25 06 810 Canadian Flag 400
AI
Are you ready for a radiologist shortage?
Could the U.S. be heading toward a shortage of radiologists? The idea might not be as crazy as it sounds if current demographic trends in radiology continue. Laurie Lafleur of Paragon Consulting Partners ponders this question and proposes that technologies such as artificial intelligence and blockchain could come to the rescue.
April 2, 2018
2018 04 02 20 26 1948 Paragon Consulting Logo 400
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Cardiac Mri Adobe Samunella
MRI
Cardiac MRI-based ML model predicts MACE risk for STEMI patients
A machine-learning (ML) model based on cardiac MRI and clinical parameters performed well in a study of STEMI patients.
Emergency Entrance
Digital X-Ray
Low-value x-ray persists in patients with maxillofacial trauma
2026 02 17 Quadruple Low Pcct Thumbnail
CT
'Quadruple low' PCCT protocol improves lung cancer imaging
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CT
New benchmark helps monitor cumulative CT radiation dose
2026 02 13 Port Fractures Thumbnail
Radiation Oncology/Therapy
Study questions routine use of radiotherapy after bone surgery
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Cardiac MRI-based ML model predicts MACE risk for STEMI patients
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Low-value x-ray persists in patients with maxillofacial trauma
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Study questions routine use of radiotherapy after bone surgery
By Will Morton
Findings suggest a possible hazard associated with postoperative radiotherapy.
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CEUS outshines color Doppler imaging for indeterminate kidney lesions
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3D MRI technique helps plan treatment for pediatric heart conditions
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The method makes "heart muscle and heart valves visible while making blood and surrounding tissues transparent," researchers noted.
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Could AI scoring help with managing DCIS?
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An AI model showed associations with recurrence after DCIS surgery and performed comparably to established clinical risk models.
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Images of a 39-year-old who underwent screening mammography. Right craniocaudal (left) and mediolateral oblique (middle) views from preoperative mammography show suspicious grouped fine pleomorphic calcifications (arrows). After biopsy showed ductal carcinoma of situ (DCIS), patient underwent breast-conserving surgery, yielding final diagnosis of ductal carcinoma in situ (intermediate grade, hormone receptor positive). (Right) Screenshot of an output of a commercial AI tool applied to preoperative mammography. AI detected right breast lesion with score of 95% on both views (concentric colored circles). Present study’s reviewing radiologist deemed AI marking to correspond with site of DCIS.
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The modality correctly diagnoses dermoids and simple cysts, but is not as effective at identifying other types of adnexal lesions.
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Axial contrast-enhanced CT scan in a 28-year-old premenopausal woman shows an incidentally detected solid-appearing left ovarian lesion (solid arrow) anterior to the uterus (U), associated with trace ascites in the right adnexa and cul de sac (dashed arrows). At pathologic analysis, this was shown to be ovarian dysgerminoma. Two readers misdiagnosed this lesion, one as a leiomyoma and one as an ovarian fibroma.
Radiology coding update for 2026
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In a new column, Erin Stephens of Healthcare Administrative Partners reviews the 2026 CPT code changes.
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Erin Stephens
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