A majority of healthcare technology leaders believe artificial intelligence is no longer just a buzzword—it’s delivering measurable business value. According to a newly released report by KPMG— Global Tech Report: Healthcare Insights, 66% of health tech executives say their organisations are already seeing tangible returns from multiple AI use cases.
Based on inputs from 122 global healthcare tech leaders and drawn from a larger survey of 2,450 technology decision-makers, the report explores how healthcare systems are navigating digital transformation and realising strategic benefits from new technologies.
AI and Automation Now a Top Priority
The report highlights a notable shift in how healthcare organisations are aligning their technology investments. Around 61% of tech leaders say AI and automation are now a strategic priority. Moreover, 66% report that several AI use cases are actively generating business value, underscoring a growing confidence in AI’s role in clinical workflows, operational efficiencies, and patient engagement.
Another finding points to a maturing view of data: more organisations now have a defined data and analytics strategy than a year ago, a key step in AI readiness.
Early Cybersecurity Involvement, But Digital Friction Remains
Seventy percent of respondents say cybersecurity teams are involved from the earliest stages of tech planning and have strong influence over investment decisions. This proactive approach comes amid rising concerns over data privacy and cloud adoption.
However, nearly six in ten respondents admit that flaws in enterprise IT systems cause weekly disruptions. Transformation fatigue, weak data strategies, and privacy concerns were cited as major hurdles to accelerating innovation.
Also read: India’s Healthcare Investments Surge in 2024: Report
Web3 in Healthcare? It’s Happening
Interestingly, healthcare leads all other industries in prioritising investments in Web3 technologies, including blockchain and tokenisation. This indicates growing interest in decentralised health data management and secure, interoperable patient records.
Lalit Mistry at KPMG noted that confidence in digital transformation is closely tied to strong regulatory frameworks and interoperability standards. “Such connectivity can drive accurate patient care, promote global collaboration in medical research, and strengthen AI model training through access to diverse datasets,” he said.
As digital transformation accelerates, the report makes clear that while challenges remain, AI is no longer hypothetical in healthcare—it’s already delivering results.
