Workforce challenges
Radiology staffing challenges hinder diagnostic services. Factors contributing to
these challenges include an aging
radiology workforce, a limited pipeline of residency and technologist program
graduates and the growing complexity
of imaging studies. Additionally, the geographic distribution of radiologists can be
uneven, with rural areas often
experiencing more severe shortages.
To address these challenges, healthcare organizations are exploring various
strategies. These strategies include
implementing remote diagnostic reading programs, applying advanced technologies like
artificial intelligence to assist
with image interpretation and offering competitive compensation packages to attract
and retain radiologists. Investing in
AI-guided technology, remote working options and other recruitment efforts can all
help with the shortage. A resurgence
of accredited radiology technologist programs along with investing in recruitment of
high school and college students
may help bolster a pipeline of technologists.1 With diagnostic imaging
volumes expected to grow, securing a sufficient
workforce and adoption of workforce enhancing technology is imperative.
Capital asset management
The Vizient Capital Asset Management solution has helped
organizations achieve market-leading financial value in the
past fiscal year. By Leveraging data-driven insights and
best practices, Vizient provider customers are achieving
efficiency gains and potential savings of up to 15% across
their capital equipment programs.
Provider capital equipment committees require clear
insights to achieve their strategic objectives across their
organization, as they navigate the balance between
replacing aging equipment fleets and meeting requests for
modern technology. Larger provider networks are aligning
capital equipment strategies across care sites to capitalize
on standardization, increase spending power and optimize
financing options. When considering the latter, providers
must consider factors like capital commitment amount,
lifespan, technology changes, terms and conditions,
liquidity and use, cost of capital and credit impact to
determine financing options.
Smart providers are including capital equipment plans
in their long-term clinical strategies to ensure they have
the right technology for the future. Harnessing these
insights to plan objectively enhances the organization’s
ability to plan funding options that best suit the financial
performance of the organization.
Sustainable imaging:
pioneering environmental
responsibility in radiology
Sustainable radiology (or green radiology) has been
identified as an area of opportunity for collective action
to impact environmental sustainability. As the healthcare
sector works toward reducing its carbon footprint,
radiology departments are being urged to invest in
sustainable practices. These practices aim to decrease
energy consumption, minimize waste and promote the use
of renewable energy. Imaging suppliers are also investing in
programs to reduce carbon emissions and waste. Providers
are leveraging federal programs and industry support from
manufacturers to aid their efforts toward a greener and
more sustainable practice in radiology.
Technology user-ability
Diagnostic Imaging technology has experienced a great
deal of innovation over the last decade that's expanded
capabilities to a wide range of complex exams. Shifting
sites of care, workforce challenges and increased patient
volumes have resulted in more users, with varying level
of expertise, who need training to maximize technology
capabilities across the continuum of care. Diagnostic
imaging equipment manufacturers have created equipment
that helps healthcare professionals provide high-quality
patient care, regardless of their workload or experience level. Features like
embedded AI programs, automatic
patient positioning, portable and remote scanning and
workflow guidance applications help clinicians improve
efficiency, quality of care and satisfaction for both
providers and patients.
Rise of remote imaging and expert
technologists
Remote scanning is a technology for operating diagnostic
imaging equipment through a network connection. In the
U.S., its adoption has been limited due to regulations and
policies. However, providers are now using remote scanning
to address staffing challenges by pooling resources and
implementing it as a solution.
The demand for imaging procedures is growing throughout
organizations, and providers are recognizing the need to
efficiently share the expertise of highly trained, expert
technologists. Experienced technologists (also known as
scan managers) can oversee and help in complex imaging
procedures via remote scanning.2 These individuals
guide less trained individuals, who are present on-site,
in positioning and preparing the patient. Not only does
this enhance quality and access for patient care, but it
multiplies the training opportunities for less experienced
technologists.
Remote scanning can retain experienced technologists by
offering remote work options. Providers should consider
compliance risks, but many still turn to remote scanning
out of necessity.
Artificial intelligence
The Food and Drug Administration (FDA) has established
criteria for evaluating and approving artificial intelligence
(AI) applications. However, there is currently no standard
method in the industry for evaluating the impact of these
applications on quality patient care, which is needed
to advance reimbursement. Even so, providers are
steadily adopting radiology AI, even though widespread
reimbursement is limited.
Providers evaluate their return on investment (ROI) based
on their organization’s clinical goals. For AI applications
that don't receive reimbursement, the ROI is typically
measured in terms of efficiency and quality improvements
rather than direct cost savings. AI vendors are working to
make it easier for their offerings to be implemented, which
can positively impact ROI. For example, AI vendors are
partnering with platforms that vet AI applications, deploy
them safely within a provider's network and track usage
and ROI metrics. Reimbursement could be on the horizon
for radiology AI applications, but for now, transformative
gains in efficiency, accuracy and provider satisfaction can
still be measured.