|
Patients Unclear on Imaging Costs | MRI ‘Explosion’ August 22, 2024
|
|
|
|
Together with
|
|
|
“PLEASE USE OUR AI. We spent a lot of money on it and don’t know how to monetise it.”
|
Hugh Harvey, MD, on Google’s offer of freebies to spur developer usage of its Gemini AI API.
|
|
|
A new study in Health Policy and Technology shows that patients are surprisingly unclear on how much their imaging exams will cost them. Researchers found that few knew their imaging facilities had price estimator tools and even fewer were aware of their out-of-pocket estimates.
The U.S. government has been trying to make healthcare more transparent and understandable for patients through a variety of new rules it’s implemented in recent years, such as “information blocking” rules that prevent providers from withholding patient data.
- In 2021, CMS required health systems to notify patients of out-of-pocket expenses and make available tools for estimating prices.
But how knowledgeable are patients about these initiatives?
- Researchers from UC Irvine and the University of Michigan surveyed 423 patients scheduled for CT, PET/CT, or MRI scans in Southern California to find out how much they knew about their out-of-pocket costs.
Researchers discovered that …
- Only 11% of patients were aware of their out-of-pocket estimates before getting their scans.
- Only 17% knew their imaging facilities had price estimator tools.
- 53% said their illness has been a financial hardship, but only 34% were worried about their out-of-pocket costs for imaging.
- No patient used the hospital’s estimator tool.
- Patients were less likely to know their out-of-pocket costs if they had lower income (<$50,000), more financial hardship, and no comorbidities.
The results show that, two years after out-of-pocket transparency rules went into effect, patients are still unclear on their imaging costs.
- This is a major problem due to the high variation in imaging prices that’s been documented in other studies, such as 2023 research that found MRI scans ranging in price from $878 to $3,403.
More outreach could help patients better understand costs.
- Such outreach could be made through automated calls or even messages through patient portals prior to their exams.
The Takeaway The new study – when coupled with recent research on patient reports – shows that radiology still has a ways to go when it comes to keeping patients informed about their imaging exams. Getting patients more involved not only will have economic benefits, but could also help patients participate in their own care.
|
|
|
Your In-Workflow Copilot Experience
PowerScribe Smart Impression from Nuance harnesses generative AI to automatically generate draft impressions and recommendations, saving you time and reducing workload-related stress. Learn how it can become your in-workflow copilot today.
|
|
How Duly Health and Care Streamlined Cardiology Reporting
Duly Health and Care wanted to streamline their cardiology reporting and make it easier for clinicians to access studies. Learn how they turned to Merge Cardio from Merge by Merative to create a more structured and consistent approach to reporting.
|
|
Build Patient Engagement into Your Enterprise Image Exchange
87% of healthcare imaging leaders identify rising operating costs as a major challenge. This white paper from PocketHealth outlines opportunities to generate cost savings, retain patients, and increase referral volumes. Learn more here.
|
|
- MRI ‘Explosion’ Hurts 3: Three people were injured by an “explosion” in an MRI suite in South Africa. An article in SABC News said the incident occurred at Polokwane Provincial Hospital while the MRI scanner was being decommissioned; two hospital employees and a technician from a private company were hurt and parts of the hospital’s radiology wing were damaged. The article said the explosion occurred while workers were “releasing pressure” from the scanner – MRI safety expert Tobias Gilk believes the incident could have occurred during a magnet quench.
- Summer Earnings Season: Summer’s drawing to a close, and so is vendor earnings season. Most companies turned in healthy growth as they await the back end of the year, when radiology firms generate most of their sales. Revenues were reported by GE HealthCare Imaging and Ultrasound divisions (-2% to $3.42B), Siemens Healthineers Imaging division (+3.8% to $3.31B), Philips Diagnosis & Treatment division (+4% to $2.42B), Fujifilm healthcare division (+11% to $1.58B), Canon Medical Systems (+12% to $972M), RadNet (+14% to $460M), Hologic Breast Health division (+7.1% to $385M), Varex Imaging (-10% to $209M), Accuray (+14% to $134M), and Butterfly Network (+16% to $22M).
- X-Ray AI Rules Out Pathology: A study in Radiology found Annalise.ai’s Enterprise CXR AI algorithm ruled out more than half of normal chest X-rays from requiring radiologist interpretation. Danish researchers used AI to analyze chest radiographs of 2k patients, finding that at 98% sensitivity AI correctly excluded pathology in 53% of “unremarkable” cases; setting the sensitivity to 99.9% excluded fewer normal cases – 9.1% – but produced fewer misses; miss rates at both levels were lower than radiologists. Automated reporting is currently an off-label use of the algorithm.
- Messages Reduce Breast Screening: Mammography skeptics are still looking for ways to discourage women from breast screening. Last month their target was younger women; this week, researchers took aim at women over 65, who they feel won’t fully appreciate mammography’s benefits due to their age (even though the USPSTF advises screening through age 74). Screening cessation messages – including an anecdote on false positives – given to 3.1k women successfully convinced many to stop screening, especially when delivered multiple times. Left unexplored was the project’s impact on breast cancer mortality.
- Volpara Signs Intermountain: In a major coup, Volpara has landed a contract to supply its breast screening AI solutions to Intermountain Health of Utah. Volpara products included in the deal are its Risk Pathways application for identifying and tracking high-risk patients; Analytics for mammographer QA; and Scorecard for assessing volumetric breast density. The deal further expands Volpara’s presence in the U.S. by adding a large health system to its client roster and is the firm’s first major milestone since it was acquired by Lunit in May.
- Curved Compression for Mammography: Curved compression paddles didn’t seem to have a big impact on reducing pain for women undergoing mammography exams – and could affect image quality. In a study in Radiology, Dutch researchers described how Hologic’s SmartCurve paddles were tested in 2.5k women; those imaged with the paddles reported pain scores only 0.19 points lower on a 10-point scale. Simultaneously, researchers had concerns about contrast and visibility of structures on curved-paddle images, and suggested holding off on introducing curved paddles into the Dutch national screening program.
- GE Partners with UCSD: GE HealthCare signed a research partnership with UC San Diego to use MRI to improve the diagnosis and management of pelvic diseases in women. UCSD’s Center for Translational Imaging and Precision Medicine (CTIPM) will develop protocols for using MRI to diagnose conditions like endometriosis and ovarian cancer. The protocols and associated training materials will be made available to GE MRI users around the world.
- Better CT Lung Screening: It’s no secret that CT lung cancer screening isn’t reaching all the people it should. A study in Annals of Internal Medicine suggests different screening criteria that could identify more high-risk, high-benefit candidates than USPSTF guidelines. The new criteria focus more on smoking duration than smoking intensity, and researchers found they were better than USPSTF guidelines for sensitivity (91% vs. 78%) and specificity (86% vs. 84%) in identifying high-benefit candidates. They were also better at identifying racial minorities who would benefit from screening.
- Echo AI’s MR Potential: Echo AI might help address challenges with mitral regurgitation assessment quality and efficiency. Researchers in JACC: Cardiovascular Imaging used Us2.ai’s echo AI solution to automatically grade MR severity (in 80 seconds per exam), achieving 0.80 accuracy detecting severe MR and 0.97 accuracy detecting either moderate or severe MR (with 0.96 sensitivity and 0.98 specificity). Moreover, patients with AI-detected severe MR had five-times higher mortality rates at one year compared to mild MR patients.
- Naitive Secures Funding: U.K. software developer Naitive Technologies has received funding to further develop its OsteoSight osteoporosis screening software. The company is receiving £334k ($434k) from Innovate UK under its Biomedical Catalyst competition, and will use the funds to update its software to calculate osteoporosis from spine and chest X-rays in addition to the hip and pelvis radiographs it currently covers. OsteoSight received Breakthrough Device designation from the FDA last year.
- Rethinking CCTA Reimbursements: After years of rising volumes and declining payments, CMS is considering doubling CCTA reimbursements from its current $175 rate for both hospital-based and outpatient exams. The reimbursement hike would be made possible by adopting a new cardiology code, noting that CCTAs were previously billed the same as lower-cost chest CT, making the heart exams unprofitable for many provider organizations.
- Blackford Bolsters Platform with CureMetrix: Blackford has added AI solutions from CureMetrix to its Blackford Platform, giving users additional access to mammography AI. Platform users can apply CureMetrix’s cmAngio algorithm to analyze mammograms for breast arterial calcification (BAC), which can be a risk factor for cardiovascular disease, enabling them to potentially conduct two-for-one screening of both breast cancer and heart disease. The FDA cleared cmAngio in October 2023.
- ChatGPT-4 Takes ARRT Exam: Generative AI tools like ChatGPT have been tested against medical licensing exams for doctors, but how about exams for allied health professionals? In a study in Academic Radiology, researchers found ChatGPT-4 correctly answered 81% of questions that were similar to the ARRT certification exam, performing better on text-based questions (86%) than image-based ones (46%). Why does it matter? Generative AI could be used for educational purposes, such as creating quizzes of radiographic imaging principles that provide immediate feedback and explanations.
|
|
Your Single Solution for AI, 3D, and Full Interoperability
Realize immediate value across your organization with subscription-based advanced visualization and AI from TeraRecon that accelerates imaging workflows and improves patient outcomes. Schedule a demo today.
|
|
Next-Generation Enterprise Imaging
US healthcare organizations are making a definitive pivot to cloud technology. In this white paper from AGFA HealthCare and HIMSS, learn about the benefits of cloud-based enterprise imaging. Download the white paper today.
|
|
AI-Empowered CT Workflow
CT systems from United Imaging are designed for high image quality and low dose, and their AI-empowered workflow enables fast and reproducible positioning, helping you image patients with confidence. Learn more on this page.
|
|
- Clarity, Speed, and Confidence for MRI Efficiency: Radiologists have used a variety of methods to improve efficiency, but many of these methods come with drawbacks. Find out in this article how SpinTech MRI takes on the challenge of MRI efficiency with its STAGE software.
- Data Quality Issues in Healthcare: Data quality issues in healthcare are common challenges that can impact patient care, research, and overall healthcare management. Learn how data standardization solutions like Enlitic’s ENDEX can help by ensuring complete, accurate information.
- Improving Your Mammography Workflow: Want to learn how AI can relieve pressure in your mammography department? Watch this on-demand webinar hosted by Blackford featuring a panel discussing the importance of assessing breast density, image quality reporting, and prioritizing studies.
- Reducing Bottlenecks in Radiology Workflows: Radiologists face bottlenecks every day that slow them down, from managing worklists and accessing images to collaborating with colleagues. Learn how Intelerad’s solutions like IntelePACS tackle these issues through comprehensive integrations with third-party EMR, RIS, and HIS.
- Integrating AI into Clinical Practice: AI has the potential to revolutionize healthcare, but it requires a collaborative effort between clinicians and AI experts. In this micro-learning course from Calantic by Bayer, learn about the latest developments in healthcare AI.
- In Their Own Words: What are radiology professionals saying about the Visage 7 enterprise imaging platform? Visage Imaging has curated a select group of video interviews with Visage 7 users so you can hear what they think in their own words.
- Automated Weight-Bearing Foot Measurements: Learn how Gleamer’s BoneMetrics AI software was able to provide automated measurements on weight-bearing radiographs with high levels of accuracy in a paper published in Skeletal Radiology.
- Presenting Unboxing AI: Check out CARPL’s video series, Unboxing AI, featuring experts discussing AI and its future in radiology. The next episode on August 23 features R. Kent Hutson, MD, of Radiology Partners – reserve your seat today.
- Imaging Workflows that Actually Work: Not a fan of medical image exchange on discs? Then check out Clearpath and find out how it’s removing obstacles to better radiology workflow. Request a demo today.
- Preparing for the Future of Enterprise Imaging: Check out this white paper from Optum to learn what you need to know when moving your enterprise imaging to the cloud. Learn how to assess the various approaches and develop a strategy that works for you.
- What is Cloud Computing? What do you know about cloud computing and its role in healthcare? Check out this article by Sham Sokka, PhD, of DeepHealth to learn how cloud computing is helping hospitals adopt new AI technologies that enhance patient care.
- AI-Automated Heart Failure Detection from EHRs: New research shows the feasibility of using Us2.ai’s echo AI solutions to automatically identify patients with heart failure from archived echo images in the EHR. Learn how it works in this study in European Journal of Heart Failure.
- Clinical Excellence on the Move: Healthcare providers are striving to deliver faster, better care for patients, no matter where they are. Learn how the MAGNETOM Viato.Mobile 1.5T MRI scanner from Siemens Healthineers delivers high-quality care where your services are needed most.
- Fewer Missed Lung Nodules: Riverain Technologies’ ClearRead CT solution helped radiologists detect 29% of previously missed actionable lung nodules. Ready to see clearly and decide confidently? Book a demo today.
|
|
|
|
|