DCN June 2017 - Page 35

case study of a new artificial intelligence (AI) solution, Hikari (meaning ‘light’ in Japanese). This healthcare API is designed to improve clinical decision making and the accurate assessment of risks for individual patients, giving doctors access to integrated, grouped and anonymous data obtained from clinical and non-clinical sources. It is a new advanced clinical research information system that brings together an advanced suite of micro-services that allow doctors to extract knowledge and carry out analyses using multiple data sources related to patient health. The data challenge Digital transformation has seen the advent of Big Data and the analysis of data from all sectors, including healthcare, to help organisations make better decisions. The potential of Big Data in healthcare lies in taking advantage of all the information that can be gleaned from data to improve the quality of the sector and, most importantly, improve the care provided to patients and the public. Traditional healthcare institutions have extensive paper archives built up over many years, representing a body of data that is often difficult to systematise, locate and interpret. The implementation of the electronic clinical history represents significant progress, facilitating analysis by providing information in an accessible and legible format with centralised access. However, in a ‘post digitisation’ era, the information generated on a daily basis remains underused. ‘We have access to a vast quantity of data but it’s hard to extract meaningful information that helps us improve the quality of the care we provide,’ explains Dr Julio Mayol Martínez, medical director and director of innovation at the San Carlos Clinical Hospital. Hikari – A solution based on cocreation and innovation At the end of 2014, Fujitsu approached HCSC to show some of the tools its innovation and data usage teams had been working on. ‘It was designed as an open format, with the chance to ask questions and analyse whether Fujitsu tools could help answer them,’ explains Dr Germán Seara from the Innovation Unit. ‘We realised Fujitsu’s proposal was different from other commercial companies. Fujitsu saw us as a partner in a collaborative relationship based on cocreation and innovation.’ Digital transformation has seen the advent of Big Data and the analysis of data from all sectors to help organisations make better decisions. Hikari is an AI solution developed jointly by Fujitsu Laboratories Europe, Fujitsu Spain and the Innovation Unit at The Institute of Sanitary Research of the HCSC Madrid. This human centric solution allows doctors to access integrated, grouped and anonymous data obtained from clinical and non-clinical sources. It is a new advanced clinical research information system that brings together an advanced suite of micro-services that allow doctors to extract knowledge and carry out analyses using multiple data sources related to patient health. The platform is the fruit of in-depth research into the application of data June 2017 | 35