New AI tool doubled efficiency in busy university radiology department
Creative artificial intelligence (AI) solutions are being developed to address critical staffing shortages in radiology that could help with similar shortages in overworked pathology and clinical laboratories as well.
In a recent clinical study at 11-hospital Northwestern Medicine, researchers developed a new generative AI radiology tool to assist radiologists that demonstrates high accuracy and efficiency rates when working with multiple types of imaging scans.
For the study, approximately 24,000 radiology reports were analyzed and then compared for clinical accuracy with and without the AI tool. The tool evaluates an entire scan and generates a report that is 95% complete and personalized to each patient. A template based on that report is then provided to radiologists for review, according to a Northwestern Medicine Feinberg School of Medicine news release.
The study reported an average 15.5% increase in radiograph efficiency without compromising accuracy. Some radiologists even produced gains as high as 40%. The radiology reports were scrutinized during a five-month period last year and enabled radiologists to improve the time it took to return a diagnosis.
“This is, to my knowledge, the first use of AI that demonstrably improves productivity, especially in healthcare. Even in other fields, I haven’t seen anything close to a 40% boost,” said the study’s senior author Mozziyar Etemadi, MD, PhD, assistant professor of anesthesiology and biomedical engineering at Northwestern University McCormick School of Engineering, in the news release. (Photo copyright: Northwestern University.)
Doubled Efficiency for One Radiology Team
“For me and my colleagues, it’s not an exaggeration to say that it doubled our efficiency. It’s such a tremendous advantage and force multiplier,” said study co-author Samir Abboud, MD, emergency radiology in the department of radiology at Northwestern Medicine, in the news release.
“Having a draft report available, even before it is viewed by the radiologist, offers a simple, actionable datapoint that can be quickly and efficiently acted upon” added study senior author Mozziyar Etemadi, MD, PhD, assistant professor of anesthesiology and biomedical engineering at Northwestern University McCormick School of Engineering, in the news release. “This is completely different than traditional triage systems, which need to meticulously be trained one by one on each and every diagnosis.”
The AI tool can also alert radiologists to life-threatening conditions.
“On any given day in the ER, we might have 100 images to review, and we don’t know which one holds a diagnosis that could save a life,” Abboud said. “This technology helps us triage faster—so we catch the most urgent cases sooner and get patients to treatment quicker.”
Relying on In-house Data
Engineers at Northwestern developed the AI model using clinical data within the university’s own network, emphasizing that such tools can be created without assistance from other organizations.
“Our study shows that building custom AI models is well within reach of a typical health system, without reliance on expensive and opaque third-party tools like ChatGPT,” Etemadi noted.
The Journal of the American College of Radiology states the supply of radiologists is expected to increase by approximately 26% over the next 30 years. However, the need for radiologists is expected to grow between 17% and 27% over the same period. Becker’s Hospital Review reports there will be a shortage of up to 42,000 radiologists in the US by 2033.
Some health organizations are using a mixed model of permanent employees and contracted radiologists to meet the increasing demand for services. Others are also looking at options such as internal training programs, better benefits for workers, teleradiology, and remote radiologists to fulfill radiology needs.
“You still need a radiologist as the gold standard,” Abboud said. “Medicine changes constantly—new drugs, new devices, new diagnoses—and we have to make sure the AI keeps up. Our role becomes ensuring every interpretation is right for the patient.”
Can pathology practices and clinical laboratories learn from radiology’s situation? Development of AI solutions for those fields would likely have similar effects on workloads and overworked personnel.
Exploring the benefits of AI may be one way of helping meet clinical laboratory and pathology practice staff shortages.
Newly-defined Cardiovascular-Kidney-Metabolic Syndrome (CKM) means physicians will be in close collaboration with clinical laboratories to make accurate diagnoses
In a presidential advisory, the AHA defines a newly described systemic health disorder called Cardiovascular-Kidney-Metabolic Syndrome (CKM). The syndrome “is a systemic disorder characterized by pathophysiological interactions among metabolic risk factors, CKD (chronic kidney disease), and the cardiovascular system leading to multi-organ failure and a high rate of adverse cardiovascular outcomes.”
A CKM diagnosis, which is meant to identify patients who are at high risk of dying from heart disease, is based on a combination of risk factors, including:
weight problems,
issues with blood pressure, cholesterol, and/or blood sugar,
reduced kidney function.
CKM is a new term and doctors will be ordering medical laboratory tests associated with diagnosing patients with multiple symptoms to see if they match this diagnosis. Thus, clinical laboratory managers and pathologists will want to follow the adoption/implementation of this new recommendation.
“The advisory addresses the connections among these conditions with a particular focus on identifying people at early stages of CKM syndrome,” said Chiadi Ndumele, MD, PhD (above), Associate Professor of Medicine at Johns Hopkins University and one of the authors of the AHA paper, in a news release. “Screening for kidney and metabolic disease will help us start protective therapies earlier to most effectively prevent heart disease and best manage existing heart disease.” Clinical laboratories will play a key role in those screenings and in diagnosis of the new syndrome. (Photo copyright: Johns Hopkins University.)
Stages of CKM Syndrome
In its presidential advisory, the AHA wrote, “Cardiovascular-Kidney-Metabolic (CKM) syndrome is defined as a health disorder attributable to connections among obesity, diabetes, chronic kidney disease (CKD), and cardiovascular disease (CVD), including heart failure, atrial fibrillation, coronary heart disease, stroke, and peripheral artery disease. CKM syndrome includes those at risk for CVD and those with existing CVD.”
The five stages of CKM syndrome, which the AHA provided to give a framework for patients to work towards regression of the syndrome, are:
Stage 0: No CKM risk factors. Individuals should be screened every three to five years for blood pressure, cholesterol, and blood sugar levels, and for maintaining a healthy body weight.
Stage 1: Excess body fat and/or an unhealthy distribution of body fat, such as abdominal obesity, and/or impaired glucose tolerance or prediabetes. Patients have risk factors such as weight problems or prediabetes and are encouraged to make healthy lifestyle changes and try to lose at least 5% of their body weight.
Stage 2: Metabolic risk factors and kidney disease. Includes people who already have Type 2 diabetes, high blood pressure, high triglyceride levels, and/or kidney disease. Medications that target kidney function, lower blood sugar, and which help with weight loss should be considered at this stage to prevent diseases of the heart and blood vessels or kidney failure.
Stage 3: Early cardiovascular disease without symptoms in people with metabolic risk factors or kidney disease or those at high predicted risk for cardiovascular disease. People show signs of disease in their arteries, or have heart function issues, or may have already had a stroke or heart attack or have kidney or heart failure. Medication may also be needed at this stage.
Stage 4: Symptomatic cardiovascular disease in people with excess body fat, metabolic risk factors or kidney disease. In this stage, people are categorized as with or without having kidney failure. May also have already had a heart attack, stroke or heart failure, or cardiovascular conditions such as peripheral artery disease or atrial fibrillation.
“We now have several therapies that prevent both worsening kidney disease and heart disease,” said Chiadi Ndumele, MD, PhD, Associate Professor of Medicine at Johns Hopkins University and one of the authors of the Circulation paper, in a news release. “The advisory provides guidance for healthcare professionals about how and when to use those therapies, and for the medical community and general public about the best ways to prevent and manage CKM syndrome.”
According to an AHA 2023 Statistical Update, one in three adults in the US have three or more risk factors that contribute to cardiovascular disease, metabolic disorders, or kidney disease. While CKM affects nearly every major organ in the body, it has the biggest impact on the cardiovascular system where it can affect the blood vessels, heart muscle function, the rate of fatty buildup in the arteries, electrical impulses in the heart and more.
“There is a need for fundamental changes in how we educate healthcare professionals and the public, how we organize care and how we reimburse care related to CKM syndrome,” Ndumele noted. “Key partnerships among stakeholders are needed to improve access to therapies, to support new care models, and to make it easier for people from diverse communities and circumstances to live healthier lifestyles and to achieve ideal cardiovascular health.”
New AHA Risk Calculator
In November, the AHA announced PREVENT (Predicting risk of cardiovascular disease EVENTs), a tool that doctors can use to assess a person’s risk for heart attack, stroke, and heart failure. The new risk calculator, which incorporates CKM, allows physicians to evaluate younger people as well, and examine their long-term risks for cardiovascular issues.
Doctors can use PREVENT to assess people ages 30 to 79 and predict risk for heart attack, stroke, or heart failure over 10 to 30 years.
“Longer-term estimates are important because short-term or 10-year risk in most young adults is still going to be low. We wanted to think more broadly and apply a life-course perspective,” Khan said. “Providing information on 30-year risk may reveal earlier opportunities for intervention and prevention efforts in younger people.”
According to CDC data, about 695,000 people died of heart disease in the US in 2021. That equates to one in every five deaths. Clinical pathologists will need to understand the AHA recommendations and how doctors will be ordering clinical laboratory tests to determine if a patient has CKM. Then, labs will play a role in helping doctors monitor patients to optimize health and prevent acute episodes that put patients in the hospital.
