case.
6.5.1 Medical Allround-Care Service Solution – Charité – MACSS
Title MACSS (Medical Allround-Care Service Solutions) – a smart patient-centered comprehensive electronic health care service platform for the integrated care of chronically ill patients Organization Charité – Universitätsmedizin Berlin | Dept. of Nephrology
Charitéplatz 1 | 10117 Berlin | www.charite.de | www.macss-projekt.de Prof. Dr. Klemens Budde | klemens.budde@charite.de | +49 30 450514072
Challenges ◼ Structural problems in the communication of a tertiary referral center with chronically ill kidney transplant patients and referring physicians in the lifelong multi-disciplinary care for multimorbid patients. Communication between physicians and between patient and physician still relies on »old« technologies (e.g. telephone, letter, fax) leading to delayed and wrong treatment decisions due to systematic problems in the continuous data exchange of a highly complex treatment.
◼ Long distance for patients from rural areas to the specialized healthcare at Charité transplant centre. During their regular short visits patients misremember or forget important details.
◼ Necessitity for excellent adherence to a complex treatment regiment consisting of multiple expensive medications.
◼ High risk of dangerous drug interactions and life-threatening complications explaning the need for a close surveillance of treatment and importance of lifelong precise documentation of symptoms and vital signs. Risk for early graft loss due to complications or poor adherence in the face of severe organ shortage.
◼ High cost burden due complex and expensive therapies in light of limited medical ressources and time constraints in the healthcare system.
◼ Need for a systematic aggregation and exchange of all treatment data for medical and scientific purposes in order to systematically analyse large amounts of structured and unstructured data.
◼ Need for highest data protection standards in highly sensitive medical data.
Solution ◼ MACSS – Medical Care Allround-Service Solutions – comprises the prototype of a new patient-centered smart electronic health care service platform. It aims to achieve better patient safety and to interlink clinical researchers, health insurance companies, patient organizations and health-care service providers in order to improve both, the physician-to-patient and the physician-to-physician communication within a single joint communication platform across existing software systems in the therapy of chronically ill patients. All relevant patient data from the patient himself, from other physicians and from hospital systems will be integrated and combined. The communication within a single platform allows optimized drug dosing and close surveillance of chronically ill patients.
◼ Real-time transfer of patient data via a mobile bidirectional application on the smartphone within the clinical routine treatment of the patient will lead to better drug safety and timely detection of complications resulting in less hospitalisations and better outcomes.
Systematic integration of cyberphysical systems in the treatment of a chronic illness with modern communication technology. The mobile application facilitates treatment adherence and documentation in patient diaries and enables better patient empowerment.
◼ The MACSS platform aggregates, analyzes and recombines medical data for different information services by using innovative technologies such as advanced memory databases. A major goal of this innovative personalized real-time therapy is to improve health care in a cost effective way bay using modern big data technologies. High quality data provided by the MACSS platform will enable new patient centered research initiatives e.g. on quality of life or other patient reported outcomes. MACSS platform will provide the basis for scientific research projects of different stakeholders under real life situation. Such services are an important part of the business model.
◼ Development of a prototypic German data safety concept at the data trust center Charité.
The patient carries his data, aggregation of data only within the data trust center at Charité.
◼ Other business models include the implementation of the platform in other transplant centers worldwide and the adaptation of the platform including the proven data protection scheme for other chronic illnesses.
Business Value
◼ The Charité – Universitätsmedizin Berlin develops within a consortium (Beuth University of Applied Sciences, German Research Center for Artificial Intelligence, SAP SE, smartpatient gmbh, Dosing GmbH) and in cooperation with health insurance companies, patient associations, pharmaceutical industry and other enterprises) the prototypic MACSS platform: a new comprehensive patient-centered smart electronic health care service platform for the integrated care of chronically ill patients.
Innovation ◼ This project develops for the first time a comprehensive mobile real-time bi-directional application, which interlinks all patient data including data from a a mobile smartphone application into clinical routine. For the first time data from cyberphysical systems are integrated into the treatment of transplanted patients. By this means it aimes to constantly improve both, the physician-to-patient and the physician-to-physician communication.
◼ The platform provides real-time high quality research data and offers new research opportunities for patient reported outcomes.
◼ Based on personalized, reliable and effective telemedicine services it is possible to avoid hospitalizations, improve the quality of life, reinforce adherence and enable substantial cost savings in the health care system.
◼ Prototypic data protection concept for medical data at the data trust center Charité.
Prospects ◼ Adaptation to other chronic illnesses such as hypertension, diabetes, cancer.
6.5.2 Optimization in Surgery Processes – KARL STORZ – InnOPlan
Title InnOPlan – Innovative, Data-driven Efficiency of Surgery-related Process Landscapes Company KARL STORZ GmbH & Co. KG
Mittelstraße 8 | 78532 Tuttlingen
Contact Person: Dr. Norbert Hansen | norbert.hansen@karlstorz.com +49 7461 708 8627 | www.innoplan-project.de
Project Partners
KARL STORZ GmbH & Co. KG, HB Technologies AG, Heidelberg University Hospital, University of Hohenheim, Leipzig University, SMARTIT® – Kawetzki, Sprung, Streng GbR
Challenge The operating theatre is the heart of a hospital. It is paramount that proceedings here run smoothly. However, the individual process steps often do not complement each other optimally. The better individual devices are networked, the more trouble-free their interaction will be in critical moments.
Solution The InnOPlan project aims to optimize processes in operating theatres and surgery processes in hospitals using big data. Initially, research will be carried out into how medical devices need to be designed so they can become intelligent data suppliers. Methodologies and tools will then be developed to process the often unstructured datasets generated and to extract relevant information. Based on this, an attempt will be made to network the data with processes both inside and outside the operating theatre in order to optimize clinical and logistical operations, surgical planning and equipment availability.
Business Value
Hospitals will function more efficiently with the new technologies and be able to optimize processes in the operating theatre environment. For example, the assignment and use of equipment in operating theatres can be planned better. As a result, equipment availability can be optimized and process costs in the hospital can be reduced. The improved level of organization and the resulting optimized capacity utilization benefits the hospital in two respects: Firstly, all processes become even more focused on medical tasks than they were before. Secondly, the improved level of organization has economic benefits for the hospital and subsequently for the healthcare system as a whole. For hospitals, it could become possible to compare data – with respect to data protection – from patients with similar disease progressions and to draw conclusions about effective treatments and therapies based on big data analyses. This would improve medical care for patients, which in turn would relieve pressure on the health insurance funds and thus the hospitals as well. The added value lies therefore not only on the administrative level, but in the future also on the medical level.
Innovation InnOPlan will also outline business models for storing data generated by devices on an online smart-service platform – with particular regard for data security. This data can then be used by companies that do not have access to a sufficient amount of data to develop their own medical software.
Governmental R&D program
A Smart Data Programm project of the Federal Ministry for Economic Affairs and Energy
6.5.3 Smart Analysis – Health Research Access – GeWINO – SAHRA
Title SAHRA – Smart Analysis – Health Research Access
Company GeWINO – Gesundheitswissenschaftliches Institut Nordost der AOK Nordost Wilhelmstraße 1 | 10963 Berlin | Contact: Prof. Dr.-Ing. Thomas P. Zahn thomas.zahn@nordost.aok.de | +49 800 265080-20330 | www.gewino.de Project
Partners
data experts GmbH, the Hasso Plattner Institute at the University of Potsdam,
TMF – Technologie- und Methodenplattform für die vernetzte medizinische Forschung e.V.
Challenge In Germany, unlike other European countries, findings from healthcare research have until now rarely been usable in treatment consultations between patients and doctors.
Furthermore, healthcare data is particularly sensitive. The protection of commercial secrets and strict compliance with data protection regulations and their technical, legal and organizational implementation therefore constitute one important focus of the SAHRA project.
Solution The SAHRA project will make it possible to combine claims, treatment, study and reference data in accordance with privacy legislation and make it available to healthcare researchers.
The objective is to anonymise data that is already available (since 2006) and collected in accordance with the rules in Germany so that no inference can be made about specific individuals. It should however be possible to gain fundamental insights into changes in regional healthcare demands, the development of chronic diseases and the effectiveness of therapies and treatment models.
Business
Value Data-based healthcare research, if carried out transparently and without economic interests, can reveal deficiencies in healthcare processes and serve patients, doctors and local authorities as a basis for informed decisions. An initial pilot of the SAHRA platform will provide performance indicators on the development of regional nursing-care of the eldery for all of the municipalities in Northeastern Germany, in cooperation with the specialist unit
»Aging and care in the community«.
Governmental R&D programs
A Smart Data Programme Project of the Federal Ministry for Economic Affairs and Energy
6.5.4 Personalized Treatment for Tumor Patients – National Center for Tumor Diseases
Organization NCT – National Center for Tumor Diseases
www.nct-heidelberg.de | At the National Center for Tumor Diseases in Heidelberg doctors and scientist work together to achieve a common goal: to defeat the cancer. Every year 10,000 patients are treated here. Again and again new forms of therapy arise – as every tumor is unique. The IT-solution »Medical Research Insights« based on SAP HANA helps the scientists to develop individual methods of treatment for patients.
Challenge The success chances of the various treatment methods for the single tumor patient are only vaguely to predict – with the consequence that therapies, which are costly and beset with side effects, do not improve the medical condition.
It is a fact that complex diseases need complex analyses. There are more than 100 different types of cancer, whereas every type of cancer differs in its characteristics and development. Therefore it is very important that affected patients get an individual and personalized treatment. To develop a fast and effective treatment, the NCT needs to analyze a high volume of data in real time. Earlier, the NCT had to browse through a wide range of data bases, create lists of patients, print the patient files and check manually if the criteria for one of the ongoing clinical studies were met.
Solution To provide patients from the first day of their diagnosis to the optimal treatment, it is necessary to determine the most promising therapy for his genetic profile. For this, structured (tumor documentation, medical files, clinical studies etc.) and unstructured data (doctor’s letters, handling instructions, test studies, press releases etc.) need to be analyzed in terms of the patient’s profile.
SAP developed for NCT a solution based on SAP HANA. It enables its users, including doctors, scientists and other medical personnel to work more efficient and simpler. Together with the users an application was developed, which makes it possible to cluster patients according to various characteristics. The goal was to combine patient data from different sources and to visualize all information of the patient’s history in a graphical timeline. By using this new solution, employees are able to record and analyze a high volume of data about every patient in real time.
Doctor’s letters, MRT results, genetic analyses or cancer registry files: All information flows together centrally. In a short range of time, it is possible to predict which therapy promises the biggest success.
Big Data NCT uses more than 15,000 protocols to treat more than 10,000 patients every year. Every patient generates up to 1,200 data points.
The use of Big Data-technologies enables the integration of all of this data with a high volume of data from various sources. The analysis of the patient data is extended to the analysis of unstructured data, e.g. doctor’s letters. Now theses analyses, which took weeks in the past, can be carried out within minutes and the findings can be used for the benefit of the patient.
Business
Value The biggest win for NCT and its patients consists in the significantly increased transparency of the patient’s history. Another advantage for the research center is the faster and promising matching of patients with appropriate studies. Among the pure patient data, a real time identification of tumor types is made possible to generate the most effective treatment method for the patient. As a result, not only the diagnosis of tumors is accelerated, but also the life expectancy of the tumor patients is increased.
Innovation This project shows how intelligent combinations of technical expertise and practical design of the user interface can revolutionize working – not only in hospitals. Employees of NCT are able to browse and filter a high volume of data through one single and simple interface. The SAP HANA-platform supports patient care by delivering detailed and illustrated timelines of treatment activities, operations, chemotherapies and home visits.
Prospects It is conceivable for the future, that health insurances use this possibility and compare treatment processes. Also the patient can profit by retrieving his state of health including recommendations from his mobile devices. The possibilities in the medical sector are diverse.
NCT and SAP are planning on to continue their cooperation and to extend the analysis of patient data based on the SAP HANA-platform. NCT wants to use data analyses in real time to support each type of the diagnosis and every step of the ongoing therapy with the goal to improve the life and future of people who suffer from cancer.
Big Data Provider
SAP Deutschland SE & Co. KG
www.sap.de | info.germany@sap.com | +49 6227 7-47474
6.6 Energy
6.6.1 Smart Data and Service Platform – EWE
Company EWE AG
Tirpitzstraße 39 | 26122 Oldenburg | www.ewe.de
◼ Olaf Kyek | +49 441 4805-4080
◼ Christian Arnold | +49 441 4805-5114 Competitive
environment/
Driving factors
EWE AG is one of the largest utility companies in Germany. Based in Oldenburg, Lower Saxony, EWE provides power, natural gas, telecommunication and IT services (via its subsidiary BTC AG) to customers with a regional focus on the northwest of Germany, Brandenburg and Rügen, as well as parts of Poland and Turkey.
The German energy system is undergoing a game-changing transformation, known as the
»Energiewende« or »energy transition«. A former centralized energy system is evolving into a market-oriented, decentralized renewable energy system. As a result, major drivers for EWE are smart grids, smart markets and smart data.
The energy market is constantly changing: Wholesale prices are collapsing due to priority policies concerning renewable energy, the constantly rising number of renewable energy producers needs to provide not just power, but also network resilience, and new competitors are entering the promising digital service market enabled by smart metering.
Challenges The German energy transition describes a national shift from nuclear and fossil fuels to renewable energies. With this transition, Germany is facing the challenge of global warming and of decarbonizing the country’s energy system. EWE’s answer to the energy transition is digitalization by two means: digital enablement of the grid infrastructure and development of a Smart Data and Service Platform (SDSP) as an information backbone for the entire energy system. The platform includes big data technology and appropriate analytical features that increase efficiency within existing business and enable new business models.
Big Data strategy/
initiative
EWE’s big data initiative currently is in the state of Group-wide initialization, including making platform decisions and hiring data scientists, accompanied by initial »proof of concept« projects and »datathons«. Consequently, an innovation pipeline is filled with new ideas for utilizing big data technology. Promising data-based business models will finally be demonstrated and monetized.
Governmental R&D programs
Leading a consortium of 32 partners, EWE AG initiated enera (www.energie-vernetzen.de), the largest project (EUR 170 million/four years) to be realized in the SINTEG funding program of the Federal Ministry for Economic Affairs and Energy. Big data is one of three focal areas of the SINTEG program.
Innovation/
Knowledge transfer
EWE AG cooperates with leading partners in the field of big data to foster the implementation of the SDS platform, such as the R&D divisions of SAP, Siemens, Software AG and BTC AG.
Moreover, universities and research institutes support our activities (RWTH Aachen, Universität Duisburg-Essen, OFFIS Institute, Oldenburg and Jacobs University Bremen).
Business
model Currently about 20 data-driven business models are waiting to be tapped by EWE’s center of excellence for big data. Most of these business models will be tested in the field and evaluated in the course of the enera project. As an example, BTC AG plans to increase efficiency for electricity retail companies by improving the accuracy of forecasts using smart meter data.
Additional
information For additional information related to EWE’s data-driven business models, please contact Dr.
Matthias Postina (matthias.postina@ewe.de) or, specifically for electricity retail companies, Mr. Frank Lange (frank.lange@btc-ag.com). For information concerning the SDS platform, contact Mr. Jens Walter (jens.walter@ewe.de).
6.6.2 Data Hub for Smart Energy Use – Stuttgart Airport – SmartEnergyHub
Title SmartEnergyHub – Data Hub for Smart Energy Use Company Flughafen Stuttgart GmbH (Stuttgart Airport)
Contact persons – Consortium leader: Fichtner IT Consulting AG Dr.-Ing. Albrecht Reuter | +49 711 8995-1964 | www.smart-energy-hub.de Holm Wagner | wagner@stuttgart-airport.com | +49 711 9483664 Project
Partners Fichtner IT Consulting AG (consortium leader), Fraunhofer Institute for Industrial Engineering IAO, Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS, in-integrierte informationssysteme GmbH, Seven2one Informationssysteme GmbH
Challenge Operators of large-scale infrastructure services, like airports, seaports, general industrial and chemical parks, manufacturing facilities, and office blocks are confronted with particular challenges due to the increasing decentralization, flexibilization and intermeshing of the energy market. To meet the needs of evolving market conditions and to gain economic advantages from the possibility of intermeshed operation, smart networking of the operator's own infrastructure is necessary. The ICT requirements of infrastructure services operation for purposes of smart networking and control are, firstly, high-performance databases with cloud-based in-memory technology that can acquire and process large data volumes over short periods. Data storage may be provided as an on-site solution or as a service. Secondly, software components are needed that permit straightforward and standardized tie-in of system elements and their control with centralized visualization of information to support decision-taking.
Solution The SmartEnergyHub project is currently developing a smart data platform by means of which infrastructure service providers can undertake forecast- and market-based energy management with the aid of sensor data. This platform's task is to merge large volumes of diverse data from
Solution The SmartEnergyHub project is currently developing a smart data platform by means of which infrastructure service providers can undertake forecast- and market-based energy management with the aid of sensor data. This platform's task is to merge large volumes of diverse data from