Evaluating a Clinical Decision Support System to Aid Early Detection of Pancreatic Cancer: A Simulation Study
A new study has explored how GPs interact with a tool in Future Health Today designed to flag symptoms associated with pancreatic cancer, assessing its acceptability and feasibility in primary care.
Early detection of pancreatic cancer remains a major challenge in primary care, largely due to its low prevalence, vague early symptoms and the wide range of conditions managed by general practitioners (GPs). In Australia, earlier diagnosis is a national priority under the National Pancreatic Cancer Roadmap. Digital tools such as computerised clinical decision support systems (CDSSs) show potential to support timely cancer investigation but concerns about workflow integration and trust in automated recommendations persist.
This study examined the acceptability and feasibility of a module in FHT designed to identify patients presenting with symptoms that may indicate pancreatic cancer, such as unintended weight loss or new‑onset diabetes. The tool was tested in a simulation laboratory using an electronic health record system and patient actors. Eleven GPs trialled the CDSS and were subsequently interviewed about their experience.
GPs reported that the CDSS was easy to use, unobtrusive and helpful in prompting consideration of appropriate investigations. However, they also raised concerns about potential over testing, financial burden and unnecessary anxiety for patients with a very low likelihood of cancer. While the tool aligned well with clinical workflows, GPs preferred a stepwise approach to investigations rather than immediate imaging. Overall, the CDSS was viewed as acceptable but further evidence is needed to support its recommendations before its real‑world implementation in primary care.