PT - JOURNAL ARTICLE AU - Kieran Walsh AU - Chris Wroe TI - Mobilising computable biomedical knowledge: challenges for clinical decision support from a medical knowledge provider AID - 10.1136/bmjhci-2019-100121 DP - 2020 Jul 01 TA - BMJ Health & Care Informatics PG - e100121 VI - 27 IP - 2 4099 - http://informatics.bmj.com/content/27/2/e100121.short 4100 - http://informatics.bmj.com/content/27/2/e100121.full SO - BMJ Health Care Inform2020 Jul 01; 27 AB - Introduction This paper summarises a talk given at the first UK workshop on mobilising computable biomedical knowledge on 29 October 2019 in London. It examines challenges in mobilising computable biomedical knowledge for clinical decision support from the perspective of a medical knowledge provider.Methods We developed the themes outlined below after personally reflecting on the challenges that we have encountered in this field and after considering the barriers that knowledge providers face in ensuring that their content is accessed and used by healthcare professionals. We further developed the themes after discussing them with delegates at the workshop and listening to their feedback.Discussion There are many challenges in mobilising computable knowledge for clinical decision support from the perspective of a medical knowledge provider. These include the size of the task at hand, the challenge of creating machine interpretable content, the issue of standards, the need to do better in tracing how computable medical knowledge that is part of clinical decision support impacts patient outcomes, the challenge of comorbidities, the problem of adhering to safety standards and finally the challenge of integrating knowledge with problem solving and procedural skills, healthy attitudes and professional behaviours. Partnership is likely to be essential if we are to make progress in this field. The problems are too complex and interrelated to be solved by any one institution alone.