Dr. Emrick's Books and Articles
How
Value-Based Care and Patient Experience Are Reframing Radiology’s Place in
Population Health
While
conducting research, I paused to reflect on the changing radiology landscape.
Just a decade ago, patients would have travelled a very different path, one
governed by limited options. Today and in the future, access will be built
around personal convenience. Those old radiology processes are fading fast. In
its place, value-based care asks radiology departments to look beyond
individual slices of an image and toward the well-being of the communities that
depend on them. So, why is value-based care at the doorstep of radiology?
Simply put, value-based care ties payment to the balance between outcomes and
costs. For imaging, this metric involves more than just test accuracy; it
encompasses downstream effects such as reduced readmissions, improved chronic
disease control, and earlier detection through appropriate screening.
Multi-society statements have advocated this broader perspective for well over
a decade, predating the pandemic. Still, the urgency has increased as payers
implement bundled payments and episode-of-care models that reward collaborative
management over isolated transactions. Radiology, once regarded as a cost
center, now has the opportunity to become a strategic driver of outcome
improvement through evidence-based protocols, decision-support tools, and
alignment with primary-care quality goals.
Needless to
say, payment reform alone does not guarantee that imaging services feel
person-centered. Experience surveys, especially the Outpatient and Ambulatory
Surgery CAHPS instrument, which became mandatory in 2024, provide patients with
a structured channel to comment on their communication experiences, preparation
for procedures, and post-discharge guidance. Early results indicate that
radiology’s historical focus on technical excellence needs to expand to
encompass the warmth of front-desk greetings, clarity of consent discussions,
and timeliness of report delivery. Patient-friendly reporting—plain-language
summaries that accompany official interpretations—reduces anxiety and improves
comprehension. Recent JACR data reveal measurable gains in satisfaction when
these reports are routinely offered. Transitioning from episodic imaging to
population stewardship requires radiologists to consider social determinants,
screening gaps, and access barriers. A 2024 viewpoint in JACR outlined
practical steps, including partnering with community clinics to schedule mobile
units in underserved neighborhoods, designing imaging algorithms that account
for transportation constraints, and engaging in legislative advocacy to
preserve coverage for high-yield screening programs. When radiologists help
craft such strategies, they transition from passive diagnosticians to active
participants in the prevention of chronic diseases. Notably, federal
regulations reinforce these expectations. For the 2025 performance year, CMS lifted
scoring caps on radiology-specific measures within MIPS, allowing practices to
receive full quality credit for demonstrating improvement in outcomes. At
the same time, the agency is discussing a mandatory episode model that would
bundle imaging services with procedural and post-acute care, prompting the
American College of Radiology to challenge aspects of compulsory participation,
yet acknowledging that future reimbursement will hinge on noticeable value.
Leaders who monitor these shifts are better prepared to renegotiate payer
contracts and invest in care-coordination technology before penalties arrive.
In another
significant shift, artificial intelligence promises to shorten report
turnaround times, flag incidental findings that warrant preventive follow-up,
and predict the risk of no-shows, allowing schedulers to intervene. Commercial
platforms unveiled at the 2025 European Congress of Radiology feature
population-screening dashboards that stratify risk across thousands of
mammograms or CT colonography studies in near real-time. Yet a March 2025 Pew
analysis cautions that oversight gaps remain, particularly around algorithm
drift and bias against historically marginalized groups. Value-based contracts
that hinge on equitable outcomes will fail if new tools silently widen
disparities, underscoring the need for continuous monitoring and transparent
validation. Radiology departments that wish to thrive under value-based
expectations can start with straightforward actions. First, map the patient
journey end-to-end and identify moments where uncertainty or delay occurs, such
as parking, registration, gowning, and result delivery, and assign ownership
for redesign. Second, embedding evidence-based appropriateness criteria within
ordering workflows, reducing unnecessary scans while protecting revenue through
stronger payer trust. Third, publish consumer-facing performance dashboards
that track wait times, dose indices, and same-day add-on capacity; transparency
builds credibility with both patients and primary-care partners. Finally,
invest in staff training that highlights empathetic communication, because a courteous
technologist can salvage the experience of a patient who arrives anxious about
potential cancer.
So, how do we
move forward systematically? Value-based care asks every specialty to justify
its role in the health of populations. Radiology answers that challenge
uniquely: by seeing disease before symptoms arise, by guiding interventions
with minimal invasiveness, and by providing data that power predictive
analytics for entire risk pools. The discipline’s future will belong to
practices that marry technical excellence with human-centered design,
harnessing AI while guarding against bias, and viewing each image as an
intersection between personal narrative and community well-being. Readers
building imaging programs, whether in an academic center or an outpatient joint
venture, can lead this shift today by measuring what patients feel, not just
what scanners detect, and by proving that radiology delivers measurable value
where it matters most: healthier lives and happier patients.
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