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See how we can get your algorithm to the finish line, or calculate an estimated ROI from implementing our solutions.
Opportunistic Screening for Coronary Artery Disease
Over 150 hospitals have implemented this as the standard of care for population health screening to reduce the burden of ASCVD.
13% of patients getting a routine non-gated chest CT have a coronary calcium score ≥ 100 but no previous diagnosis of any cardiovascular disease
Unfortunately, many of these patients will have their first encounter with a preventive cardiologist after a MI/ stroke.
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Bunkerhill flags patients with high risk of cardiovascular disease
using established biomarkers
Coronary Artery Calcium (FDA-cleared)
Aortic Calcification (in development)
Breast Arterial Calcification (in development)
Fat composition (in development)
...by analyzing routine scans already conducted in your clinical practice
Our suite integrates seamlessly with your existing workflow, identifying at-risk patients.
Routine non-contrast CTs
Lung cancer screening studies/ low dose chest CTs
Screening mammograms
Routine abdominal CTs
Downstream revenue impact
In addition to identifying patients for life-saving cardiovascular care, health systems using the algorithm typically see an ROI of 15:1, profit to cost.
20% of patients that receive a scan have a calcium score > 100
41% of those patients do not have an existing diagnosis of ASCVD
52% of those patients will show up for a follow up appointment
ROI calculator
Number of hospital beds
0.043
221.7
44.34
Dana Farber using Opportunistic Cardiovascular Screening
Deployed by the top hospitals in the country
Our cardiology suite has transformed practice and improved the bottom line.
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Dr. John Smith
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Patient
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Dr. John Smith
Patient
Havard University
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Sue Smith
Physician
Stanford University
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Seamless patient reports, incorporated into <text-span>familiar workflows<text-span>
Ensure that patients identified with CAC do not fall through care gaps
Receive a weekly digest of patients with a CAC score >100
We remove the follow up burden from the ordering physician (usually a pulmonologist or ED doctor) and allow you to notify PCPs or care navigators directly.
Ensure that patients identified with CAC do not fall through care gaps
Radiologists have the ability to edit or delete these scores.
Validated AI algorithims,
one integrated solution
one integrated solution
Each suite is composed of tested and approved algorithms, letting you reap their cumulative benefits upon implementation.
CAC on non-gated, non-contrast chest CT
Evidence
6.9%
% high-risk patients who get started on statins under the current standard of care (NOTIFY-1 RCT)
51.2%
% high-risk patients who get started on statins using the Bunkerhill algorithm and follow up workflow (NOTIFY-1 RCT)
Publications
June 1, 2021
Automated coronary calcium scoring using deep learning with multicenter external validation
Adoption of deep learning models could allow more patients to be screened with CAC scoring, potentially allowing opportunistic early preventive interventions.
Association of Coronary Artery Calcium Detected by Routine Ungated CT Imaging With Cardiovascular Outcomes
Teams
Dr. Curt Langlotz
Director, Center for Artificial Intelligence in Medicine and Imaging
Dr. Samir Shah
Former Chief Clinical Officer,
Envision Radiology
Dr. Ross Filice
Chief of Imaging Informatics, MedStar
Dr. Safwan Halabi
Vice Chair of Imaging Informatics,
Lurie Children’s Hospital
Dr. David Larson
Senior Vice Chair, Strategy and Clinical Operations at Stanford
