electronic health records

MLTC Update

We continue to contribute to the MUM-PREDICT and OPTIMAL project over the last six months including: Artificial Intelligence for Multiple Long-term conditions (AIM): A consensus statement from the NIHR AIM consortia Maternal and child outcomes for pregnant women with pre-existing multiple long-term conditions: protocol for an observational study in the UK Polypharmacy during pregnancy and associated risk factors: a retrospective analysis of 577 medication exposures among 1.5 million pregnancies in the UK, 2000-2019

New paper with Breaking Free Online on substance abuse

Congratulations to Franziska Gunther on her collaborative work with Breaking Free Online on Identifying factors associated with user retention and outcomes of a digital intervention for substance use disorder: a retrospective analysis of real-world data which has been published in JAMIA Open.

MIE 2023 success

Congratulations to Franziska Gunther on her collaborative work with Breaking Free Online which was presented at MIE 2023 On the difficulty of predicting engagement with digital interventions for substance use disorders.

MUM-PREDICT: HDRUK Team of the Year

We are proud to have been part of a glittering array of publications arising from our contribution to the MUM-PREDICT projects over the last 12 months. The team also won the Health Data Research UK Team of the Year 2022 award: Protocol for development and validation of postpartum cardiovascular disease (CVD) risk prediction model incorporating reproductive and pregnancy-related candidate predictors [Polypharmacy during pregnancy and associated risk factors: a retrospective analysis of 577 medication exposures among 1.