2018 international conference san antonio
Session 7 – Steve Sutch & Chris Morris – Recalibrating the ACG System Predictive Models & Developing New Models Based on Emerging Priorities within the UK NHS
Recalibrating the ACG System Predictive models & developing new models based on emerging priorities within the UK NHS
Stephen Sutch DrPH
Johns Hopkins Healthcare Solutions
Dr. Stephen Sutch has a special interest in Patient Classification and Population Health analytics. He began working in the English NHS in 1987 in London as an Operational Research consultant. In 1991 in NHS Wales he managed the investigation of casemix and moved in 1994 to the national casemix office in England, managing the Statistics department, and from 2004 to 2006 was responsible for the design of casemix groupings for hospital reimbursement. In 2006 he set up an international consultancy specialising in casemix and health classification. Working in the USA from 2009-2016, Steve is now living in The Netherlands, with research interests in Care Management in Primary Care and the measurement of multimorbidity. Continuing work with the team at Johns Hopkins University (USA) on the Adjusted Clinical Groups (ACG) System, he has managed projects in a number of countries and is currently the Director of Product Development.
Chris has worked in analytics roles in the UK’s NHS for 15 years, most recently in roles supporting population analytics, systems modelling and consultation for service redesign. He worked with colleagues at JHU in 2013 to undertake the first UK recalibration of the ACG System, including the development of a UK-specific model to predict the risk of unplanned admissions. Chris also supported the 2016 UK recalibration of the ACG System, including the development of additional models and testing of potential new predictor variables for existing and new predictive models. His current major focus is as part of a team in NHS South, Central & West Commissioning Support Unit developing and implementing a Population Health Analytics platform; Insights Population Analytics.
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