Using our success in Clinical Decision Support Tools (CDST) we will build automated prescription adjustments for patients based on their weight and new or chronic organ dysfunction, for use in secondary care.
As part of this project, we will:
- identify the baseline prevalence and duration of prescribing errors related to a failure to adjust medicine dose in acute medical trusts. This dataset will form the basis for algorithm build and initial testing.
- co-design an interactive brochure which explains CDSTs to the public, made available in multiple languages and accessible formats.
- hold workshops with key stakeholders (clinical experts, prescribers, patients, the public, secondary care organisations, electronic health systems and healthcare regulators/policy makers) to develop projects including which medications should be focused on based on frequency and severity of errors and stakeholder feedback, to define expected safety gains, to agree parameters for algorithm development and deployment, including how the algorithm will interact with the prescriber.
- build an algorithm which responds to changing renal function for the first use case.
- test the algorithm in a sandbox of an acute care setting (a simulation of a hospital setting without changing patient care; already built and available).
- in parallel to above, hold workshops/interviews/simulations with key stakeholders (described above) for extensive end user testing and iteration.
