We met with 130 health and life sciences executives to understand their top priorities and how they are preparing for and adapting to key trends shaping their organizations. This year, executives are prioritizing:
- AI adoption and data-driven innovation to enhance operations and patient care
- Digital maturity with a focus on AI scalability, platform modernization, and data-driven strategies to gain a competitive advantage
- Accelerating digital adoption to manage rising patient demand, cost pressures, regulatory complexity, and talent shortages
#1 business priorityachieving financial resiliency and cost optimization51%plan to invest in operational efficiencies through AI and automation53%plan to modernize their digital and IT infrastructure over the next two years
- 65%
report difficulties in attracting skilled IT talent and stabilizing their existing workforce- 53%
cite that legacy systems pose a challenge, which requires talent to successfully overcome digitization barriers- 20%
cite regulatory and compliance challenges as a top constraint to achieving business priorities- 25%
report percentage of revenue spent on OpEx is less than in previous years
32% of executives who are generating expected results from their digitization strategies—the digital leaders—share common traits that help them deliver superior performance. In health and life sciences, digital leaders:
Have operating models
that are highly agile
to adapt to digitization
vs. others*
Have a holistic
data strategy
extending to the ecosystem
vs. others*
Produce results from their data privacy
and protection strategy,
extending to the ecosystem
vs. others*
* “Digital leaders” are those producing expected results, and “others” are those building or launching their digital strategies.
pp = percentage points
At CGI, we empower health and life sciences organizations to drive digital transformation—optimizing operations, fueling innovation, and elevating patient experiences and outcomes. Learn more about:
Cloud and hybrid IT Business & strategic IT consulting Managed IT services AI in healthcare Cybersecurity
