The PHCSG Early Career Award recognises innovation and excellence in Primary Care Computing. It is awarded to those who have made an outstanding contribution to the subject. The Early Career Award was renamed the Hildi Franke Award in 2023.

2022: GP Automate

Divyesh Vala

The 2022 Early Career Awards was presented to Divyesh Vela for his work on GP Automate – robotic process automation software that reduces the burden on clinicians by automating mundane tasks such as actioning normal lab reports.

View Divyesh Vala’s submission

2021: Performance and clinical utility of supervised machine-learning approaches in detecting familial hypercholesterolaemia in primary care

Dr Ralph Kwame Akyea

The 2021 Early Career Award was presented to Dr Ralph Akyea for his work in the application of machine learning to assist with the detection of familial hypercholesterolaemia in primary care.

View Dr Ralph Akyea’s submission

2018: Information standards for recording alcohol use in electronic health records: findings from a national consultation

Dr Shamil Haroon

The 2018 winner of the Early Career award was Dr Shamil Haroon for his work on "Information standards for recording alcohol use in electronic health records: findings from a national consultation"

2017: Visualising improvement - Atrial fibrillation programme

Zaheer Ahmed

The 2017 Early Career Award was presented to Zaheer Ahmed, Informatics Lead for the Clinical Effectiveness Group at Queen Mary University of London.

View Zaheer Ahmed's presentation

2016: Chronic disease care plans and clinical templates

Dr Nazmul Akunjee

The 2016 Early Career Award was presented by Dr Joan Trowell to Dr Nazmul Akunjee, GP Partner at West Green Surgery, Haringey CCG GP IT Lead Medical Director for Federated4Health.

View Nazmul Akunjee's presentation

2016: Highly Commended: S.M.A.S.H

Richard Williams

Richard Williams is a senior software engineer working at the University of Manchester within the Greater Manchester Primary Care Patient Safety Translational Research Centre. Richard was the lead developer on the SMASH project and is currently working towards a PhD on the gap between “routinely collected” and “research ready” datasets.

View Richard Williams' presentation

2015: Dynamic patient-tailored method to detect abnormal laboratory test results

Paolo Fraccaro

The second Early Career Prize was awarded to Paolo Fraccaro MEng for his work on the development and preliminary validation of a dynamic, patient-tailored method to detect abnormal laboratory test results.

View Paolo Fraccaro's presentation
Paolo's published paper