Seoul National University Bundang Hospital: Transforming Patient Care and Data Access with SAP HANA

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1 Picture Credit Seoul National University Bundang Hospital, Gyeonggi-do, South Korea. Used with permission. SAP Business Transformation Study Healthcare Seoul National University Bundang Hospital Seoul National University Bundang Hospital: Transforming Patient Care and Data Access with SAP HANA Committed to offering the highest standard of treatment, Seoul National University Bundang Hospital (SNUBH) has consistently been at the forefront of new medical technology advancements. As the healthcare paradigm shifts to an evidence-based model, SNUBH turned to the SAP HANA platform to help automate its clinical indicators system and gather critical data in real time.

2 Organization Seoul National University Bundang Hospital Headquarters Gyeonggi-do, South Korea Industry Healthcare Products and Services Outpatient and inpatient services, medical examination, billing and insurance, issuance services, emergency services, and home care Employees 1,935 employees (515 physicians, 780 nurses, 640 other staff) Revenue US$275 million Web Site /dh/en BUSINESS TRANSFORMATION The organization s top objectives Improve management and monitoring of 320 clinical indicators Provide physicians access to relevant data in real time Ensure researchers have fast, easy access to historical data The resolution Ran proof-of-concept tests with numerous vendors and selected SAP for its superior in-memory computing technology Built a clinical in-memory data warehouse on the SAP HANA platform Created a separate data mart to catalogue clinical indicators The key benefits Cut access time to key medical and research data from days to seconds Improved patient care and shortened inpatient hospital stays Reduced researchers reliance on IT staff for data retrieval Read more Managing clinical indicators and pulling relevant information out of a huge data warehouse is critical. With that data, doctors can ensure the correct treatment is prescribed and monitor results. Soo Young Yoo, PhD, Assistant Research Professor, Center for Medical Informatics, Seoul National University Bundang Hospital TOP BENEFITS ACHIEVED <2 seconds To analyze quarterly data, compared to 1 to 2 months 700X Faster retrieval of up to 10 years of research data 147% Return on investment within 5 years according to PricewaterhouseCoopers See more metrics 2 / 6

3 Increasing efficiency and improving patient outcomes As one of South Korea s leading medical centers, Seoul National University Bundang Hospital (SNUBH) has demonstrated a firm commitment to advancing care through its use of technology, digitizing all its health records as early as 2003 and launching a health information exchange in As medical care continues its move to an evidencebased model, Big Data is playing an increasingly critical role. Recognizing this transformation and the limitations of its existing data warehouse the hospital set out to create a system that could provide optimal patient care and clinical research. To start, SNUBH needed a way to enhance patient safety and improve tracking of 320 clinical indicators, including antibiotic usage rates, transfusion measurements, and physicians charts. Access to these indicators, which are a critical element in delivering and monitoring patient outcomes, was becoming increasingly difficult and time consuming. Another challenge for the hospital was accelerating data retrieval, since gathering information from as recently as three months prior could take up to an hour. Hospital researchers were also struggling with limited access to historical clinical data, some of which had been inputted through free text, making it hard to identify and retrieve critical patient records. To test a hypothesis and develop evidence, researchers needed access to massive amounts of historical data a process that often required engaging with IT staff and waiting days, or even weeks. 3 / 6

4 Deploying a new data warehouse for improved performance To strengthen its patient care, SNUBH reevaluated its IT infrastructure and explored a new data warehouse system that could support Big Data and deliver real-time performance. After running proofof-concept projects with several different providers, the hospital determined that only the SAP HANA platform offered the speed and precision it required. With this decision made, SNUBH implemented a 10 TB in-memory clinical data warehouse using the SAP HANA platform, which rapidly processes and analyzes information related to patients, including medical records, physician comments in text data, nursing records, prescription data, and sensor and bar code information from medical devices. To catalogue and analyze its 320 clinical indicators, the hospital deployed a separate data mart that automated and streamlined management. Thanks to the low latency of SAP HANA, the hospital was able to provide instantaneous feedback to clinicians, who were then able to check specific indicators, compare their actual status against predefined goals, and make adjustments as needed. With SAP HANA, SNUBH researchers, physicians, and nurses could now analyze data in near-real time by using business intelligence tools and without assistance from IT staff. The transition to SAP HANA proved to be a timely, efficient process, with the deployment of the new clinical warehouse occurring in only 12 months. 4 / 6

5 Automating data analysis and streamlining access By running its new clinical data warehouse on SAP HANA, SNUBH significantly improved how it accesses and uses clinical indicators. Today, the hospital manages 320 clinical indicators with only six nurses compared to as many as 100 caregivers in a hospital of similar size in the United States. In addition to freeing up staff resources, retrieval time frames were also drastically cut from one to two months before SAP HANA to a remarkable one to two seconds after the implementation. And for the first time, SNUBH can provide multidimensional analyses based on a number of variables, including patient characteristics, disease, and location. The benefits of deploying SAP HANA also extend to the research department. Now, researchers can access all data in seconds or minutes not hours, days, or weeks. And thanks to simple query tools, researchers no longer need to regularly engage with IT staff, helping them to stay focused on their vital work. KEY BENEFITS <2 seconds To analyze quarterly data, compared to 1 to 2 months 700X Faster retrieval of up to 10 years of research data 147% Return on investment within 5 years, according to PricewaterhouseCoopers 6 nurses Can manage 320 clinical indicators 1 day Reduced antibiotic cycle for preoperative patients from 6 days to 1 day, minimizing overprescribing 5 / 6

6 Seoul National University Bundang Hospital 34022enUS (15/09) Strengthening a commitment to next-generation research Moving forward, SNUBH will remain focused on technology innovations that enhance its clinical data warehouse powered by the SAP HANA platform. To improve clinical research analysis capabilities, the hospital plans to support both scenario-based and text-based searches. SNUBH is also laying the foundation for an enhanced clinical indicator review in an effort to gain deeper insights into infection management. In addition, SNUBH is exploring the SAP BusinessObjects Business Intelligence suite for more advanced business analyses. 6 / 6 Picture Credit Seoul National University Bundang Hospital, Gyeonggi-do, South Korea. Used with permission.

7 No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of SAP SE or an SAP affiliate company. SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries. Please see for additional trademark information and notices. Some software products marketed by SAP SE and its distributors contain proprietary software components of other software vendors. National product specifications may vary. These materials are provided by SAP SE or an SAP affiliate company for informational purposes only, without representation or warranty of any kind, and SAP SE or its affiliated companies shall not be liable for errors or omissions with respect to the materials. The only warranties for SAP SE or SAP affiliate company products and services are those that are set forth in the express warranty statements accompanying such products and services, if any. Nothing herein should be construed as constituting an additional warranty. In particular, SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or any related presentation, or to develop or release any functionality mentioned therein. This document, or any related presentation, and SAP SE s or its affiliated companies strategy and possible future developments, products, and/or platform directions and functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason without notice. The information in this document is not a commitment, promise, or legal obligation to deliver any material, code, or functionality. All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ materially from expectations. Readers are cautioned not to place undue reliance on these forward-looking statements, which speak only as of their dates, and they should not be relied upon in making purchasing decisions.

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