{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"ADAPT Insider","title":"Why healthcare AI must improve work without intensifying burnout, according to ADHA CDO","html":"","width":"100%","height":180,"duration":1459,"description":"Healthcare productivity is often measured too narrowly.\nInternal efficiency still matters, but in health the larger gains come from what the system enables for clinicians and patients.\nIn this ADAPT Insider conversation, Peter O’Halloran, Chief Digital Officer at the Australian Digital Health Agency, argues that real value is created when clinicians have better information, unnecessary tests are avoided, and patients move through care with less delay and duplication.\nKey takeaways:\nMeasure healthcare productivity by the value created for clinicians and patients, not only by internal efficiency gains.\nBuild trust in AI through smaller use cases that show clear benefit and keep human oversight in place.\nRedesign work alongside automation so productivity gains improve care without intensifying burnout.\nProductivity in healthcare is created at the point of care\n\nPeter’s view is that the most meaningful productivity gains do not sit inside the agency that funds the work, but across the wider health system it helps improve.\nWhen clinicians can access the right information at the right time, they can avoid unnecessary pathology tests, reduce repeat visits, and make faster decisions about diagnosis and treatment.\nThose gains compound well beyond any internal efficiency measure because they improve care while also reducing waste across the system.\nThat is why digital health has such a large upside.\nBetter information-sharing improves what happens in front of the clinician and the patient as much as it improves the administration behind them.\nFor a system under pressure from rising demand and limited workforce capacity, that is where productivity becomes most valuable.\nTrust sets the pace of AI adoption in healthcare\n\nHealthcare does not adopt AI on promise alone. The tolerance for failure is low, which means trust has to be built carefully.\nPeter makes the point that digital systems in health are often expected to be near flawless in ways that other tools are not.\nThat...","thumbnail_url":"https://img.transistorcdn.com/t0Jtrt9eZN4kwrPnSzLt-aLKB9f-tVVg1JGt9pql9t4/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ODM3/NGVhYmU2ZjljNWIx/NTliY2NlMTAzZDRl/NGNmOS5qcGc.webp","thumbnail_width":300,"thumbnail_height":300}