Challenge of FUJIFILM in Medical ICT



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Challenge of FUJIFILM in Medical ICT Sep.10, 2014 FORWARD-LOOKING STATEMENTS Forward-looking statements, such as those relating to earnings forecasts and other projections contained in this material, are management s current assumptions and beliefs based on currently available information. Such forward-looking statements are subject to a number of risks, uncertainties, and other factors. Accordingly, actual results may differ materially from those projected due to various factors. 1 Introduction Medical System Business in Fujifilm Holdings Healthcare: 382 billion (41% of Information segment) <Composition of revenue in Healthcare business> Medical Systems:More than 70% Pharmaceuticals Life Science 2

Introduction Medical System Business of Fujifilm X-ray Imaging Diagnostic Equipment Services Endoscopes Ultrasound Medical IT In Vitro Diagnosis 3 Medical IT from Fujifilm 1990s 2000s 2010 Launch the world s first digital X-ray system (FCR) in 1983 Launch a system to display and store as a part of system The system was not compatible with images taken by other companies devices. Cutting edge Medical IT system of the time Spread of communication standard for practical use of remote and transfer systems for medical images in the USA GE and SIEMENS launched PACS in the second half of 1990s Fujifilm launched web-based PACS with high quality images in 2000 Other companies launched PACS by web-based system 6-7 years after Fujifilm Becomes a platform of various information within hospital Achieve approx. 2,000 customers in 2014 Leading market share in Japan with a large gap to the No.2 company 4

Progress of Medical IT 2010 2015 Integration of over wide area using remote systems Analyze Utilize ICT Utilization over wide area Utilization of IT across all processes Large-scale systems 5 Management of hospitals in major regions Management of hospitals has been progressed in unique way in each region USA Model Consolidation into regional care EU,UK, and, Aus Model Regional Data Center Japan Model RHIO Registry Private Cloud Data is accumulated and integrated 6

Progress of Medical IT 2010 2015 Integration of over wide area using remote systems Utilization over wide area Utilization of IT across all processes Large-scale systems Analyze Utilize ICT Utilize Big Data IT will be center of imaging systems 7 Huge volume of image including advanced information accumulated healthcare facility X-ray imaging diagnostic equipment CR/DR Mammography Endoscopes Ultrasound imaging diagnosis Medical imaging devices, including other companies products, are diversifying and improving their performance PET CT Nuclear Medicine Radiation Therapy 8

Accumulate diagnostic image, and become its owner Diagnostic image Data at other hospitals Diagnostic images by Fujifilm Diagnostic images by CT / MR etc. from other companies Other images and information at a hospital in Radiology + from other diagnostic equipment + Other image and information at a hospital Accumulate and manage any Build Big Data Thoroughly utilize potential of Big Data 9 How do we utilize Big Data? Classify image and text Search functions and structured archiving of text are already well established, such as electronic clinical records etc. However, there are almost no products that can classify, analyze, and utilize image, even though image is a large part of all. Classify and manage image together with text by utilizing our own image analysis technology. This is a unique approach that only Fujifilm, which has the technologies, knowledge and experiences in the image analysis field, can realize. 10

Cloud services from Fujifilm Medical institutions Supports cooperation for sharing medical treatment and information among regional medical institutions Health insurance system Individual through personal record Provide application for measuring bone density Archive and share results Remote monitoring and maintenance of installed medical systems Connection with remote diagnostic systems of medical institutions and vendors Managed +DIP Connect TeleRad +STORAGE Contents for clinical information and diagnostic support Monitoring and checking on situation by maintenance service team Operations for remote diagnosis Safely archiving image of medical institutions over long term Distribution of information by medical contents provider Large-scale cloud which is connecting more than 10,000 users 11 Give meaning to diagnostic images: SYNAPSE VINCENT (SYNAPSE 3D) This system includes an image processing and auto recognition technology that incorporates medical features and it is used to simulate surgery. It helps efficient and optimal surgery for patients by auto processing. 0/1 click Automatically identify arteries and veins Automatically extract blood vessel details by specifying representative points Remove all bone components Automatically extract entire organs (Lungs, bronchial tubes, liver, heart etc.) 12

Diagnostic decision support system: SYNAPSE Case Match This system displays previous similar cases by analyzing the current diagnosis image. It assists the image diagnosis doctor by improving the efficiency of the diagnosis process. Terminal of SYNAPSE Display diagnosis images Display similar cases Diagnostic Equipment terminal Display similar cases Result of diagnosis X-ray image diagnosis doctor System server for searching similar cases Database was built using about 1,000 lung cancer caces archived at the Shizuoka Cancer Center. Further similar cases of each facility which installs this system can be added. 13 Expand users who utilize : Integrated Viewer This system displays necessary information in chronological order on one screen. Doctors can recognize changes in patients quickly. Conventional system Integrated Viewer Electronic Clinical Record **** **** Dosage Intravenous drip Narrow down function by disease Medical treatment record Clinical record Dosage Diagnostic Vital signs Result of sample test All is displayed in a table. Necessary information is separated on many screens. Screen switching is often required.?? Patient s condition cannot be understood unless information is combined in his mind. Necessary information is displayed on one screen. Changes in patient s condition are easily understood by displaying in time series. Realize diagnosis and treatment that meet changes in patient s condition. 14

Future of Medical IT Business Create value by Accumulate, Think, Display Thorough utilization of Big Data x Proprietary image processing technology Accumulate Standardize any type of Preserve with indices Think Give meaning to image, analyze, and apply image processing Display Display necessary information when necessary for remote treatment, regional medical liaison, and during surgical operation 15 Future of Medical IT Business Provide new levels of experience Performance Function Quality Predict Support future disease reading images Preserve Remote medical treatment Expand systems which can be connected Performance Create an infrastructure Support quality and improvement of speed in medical treatment services Provide satisfaction and peace of mind to medical treatment front at new stage Function Manage and centralize Support operation Enhance efficiency Quality Enhance management Support efficiency analysis and diagnosis 16

Future of Medical IT Business Future plan to Grow Accumulate Think Preserve and Analyze Display manage image processing Necessary information in a timely manner Owner of Big Data X Own technology X ray Equipment (CR/DR) Ultrasound Services Medical IT Endoscope IVD Synergies centering on IT Revenue of Medical IT increase by 10% every year Growth driver of the medical system business to further improve profitability 17 At Fujifilm, we are continuously innovating creating new technologies, products and services that inspire and excite people everywhere. Our goal is to empower the potential and expand the horizons of tomorrow s businesses and lifestyles. Corporate Communication Office, Corporate Planning Div. http://www.fujifilmholdings.com/en/index.html