Imperial College London

Dr Grazia Antonacci

Faculty of MedicineSchool of Public Health

Research Associate



+44 (0)20 7594 9173g.antonacci Website




Business School BuildingSouth Kensington Campus





My research interests include the design, adoption, implementation and sustainability of innovation in healthcare systems. I am currently involved in research on the introduction of methods, approaches and technologies designed to improve the quality of health and healthcare services as well as in the development of a global health innovation index aimed at comparing indicators of healthcare innovation across countries.
I joined Imperial College Business School in February 2016 where I work in collaboration with the National Institute for Healthcare Research CLAHRC (Collaboration for Leadership in Applied Health Research and Care) North West London.
My education includes a Master’s Degree in Science in Industrial and Management Engineering from the Polytechnic University of Milan, a Postgraduate Master’s Degree in Management of Healthcare Organizations from the Cattolica University in Rome and a European PhD in Enterprise Engineering from the Tor Vergata University of Rome, in collaboration with Imperial College London.
Before joining Imperial College I worked in pharmaceutical and consulting firms as well as in the administration of an Italian research hospital "Casa Sollievo della Sofferenza".



Antonacci G, Calabrese A, D'Ambrogio A, et al., A BPMN-Based Automated Approach for the Analysis of Healthcare Processes, 2016 Ieee 25th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (wetice)

Antonacci G, Reed JE, Lennox L, et al., 2018, The use of process mapping in healthcare quality improvement projects, Health Services Management Research, Vol:31, ISSN:0951-4848, Pages:74-84

Antonacci G, Colladon AF, Stefanini A, et al., 2017, It is rotating leaders who build the swarm: social network determinants of growth for healthcare virtual communities of practice, Journal of Knowledge Management, Vol:21, ISSN:1367-3270, Pages:1218-1239

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