Medical Big Data Interpretation

Transcription

1 Medical Big Data Interpretation Vice president of the Xiangya Hospital, Central South University The director of the ministry of mobile medical education key laboratory Professor Jianzhong Hu

2 BIG DATA

3 What is Big Data? Big data refers to a large volume of data that in a certain time cannot be processed using on-hand database management tools or traditional data processing applications. 1. Volume 2. Variety huge amount of data Since human civilization began on Earth to 2003, a total of 5EB of data has been produced. In the year 2012, the 2.72B of global data produced was 500 times more than before 2003 By 2015, globally generated data estimated at 8ZB, equal to 18 million U.S. laboratories data 1 PB = 1024TB = 1,048,576 GB 1 EB = 1024PB = 1,073,741,824 GB 1 ZB = 1024EB = 1,099,511,627,776 GB structured data, semi-structured data and unstructured data Today's data type had a variety of data format; text, orders, logs, images, audio, video, and so on. 3. value 4. Velocity washing grains of gold out of the sands, low value density In a video, for example, a one-hour uninterrupted video surveillance process, potentially, has only twelve seconds of useful data. How quickly the value of the data is completed by a more powerful machine algorithm "purification" is currently under turbulent background of big data problems solved Real-time access to information needed This is the most significant data feature that distinguishes it from conventional large data. In the current era of ZB, in the face of such vast amounts of data, the efficiency of data processing is the life-line.

4 The Value of Data As early as 1969, according to the data analysis of the global retail giant Wal-Mart analyzing the consumers shopping behavior, it was found that male customers purchase baby diapers and often too, a few bottles of beer to treat oneself. They then launched a beer and diapers bundling promotions. "Overall with sample inference rule" and "direct rule to find the overall" gap In a coin toss, does positive and negative occur with a 50 percent probability? But in a casino, coins throw every day of the year, had positive occurrences of 68%

5 In an analysis by Google of hundreds of millions of keyword, such as "cold medications, fever headache," In the short term if the total keyword search is 450 million, a region may experience a flu outbreak. H1N1 A comparison of influenza data and past data from the United States Centers for Disease Control, indicates early warning can be released two weeks ahead, and the accuracy rate was up to 97%

6 Status of Medical Data Patient information consulting, providing convenience for doctor Financial, medical, workload statistics, serves for the hospital management Statistical analysis of medical data for health management decision-making, implementation supervision Scientific data analysis, providing the quality and quantity of scientific data, reduce the workload of clinical research Each hospital's information system has accumulated a lot of valuable clinical information, especially structured electronic medical record system produce a large number of clinical cases that can be utilized by Clinical research institutes The data is stored in disparate electronic systems such as medical costs, prescription, drugs, testing, PACS, surgery and other business systems. The vast majority of medical data is in the file, if you want to search is very complex. Lack of data standards, thus a need for unified standard. Prospects for the future use of the data is very broad, not only for clinical diagnosis but also for clinical research, public health and government decisions and personal health management will play an active role.

7 Big Data Analysis Data quality and data management Data mining algorithm Semantic engine Visualization analysis prediction analysis ability The application of transparent computing High quality data processing and management is a precondition for high quality output results Use machine to find data value which cannot be found using manual methods. A method to extract information from unstructured data. Display the results of data analysis, for the user decision Make predictions based on the visualization and data mining results Application of transparent computing, better data display and user experience

8 Big Data Analysis Technology A/B testing(split testing bucket testing) Association rule learning Classification Cluster analysis Crowdsourcing Data fusion and data integration Data mining Ensemble learning Genetic algorithm Machine learning Natural language processing (NLP) Neural networks Network analysis Optimization Pattern recognition Predictive modeling Regression Sentiment analysis Signal processing Spatial analysis Supervised learning Simulation Time series analysis Unsupervised learning Visualization Transparent computing

9 Big Data Application-expected U.S. healthcare data is mainly divided into four parts Drug development data, clinical data, activities and cost data, patients with behavioral and emotional data present domestic research Clinical data comparison Clinical decision support The new service model Real-time statistical analysis Analysis of data remote patient monitoring Demographic analysis Medical behavior analysis clinical practice analysis of basic drugs drug discovery Analysis of the new rural cooperative medical fund data Content Matching the patient with the appropriate therapy, to analyze the optimal therapeutic approaches; Drug rations, focus groups, chronic disease and other kinds of warning information and repeat the test / inspection tips etc. According to clinical data analysis, provide a new model of personalized medical services and self-service, etc. Display the healthy statistics in public Monitoring and analyzing clinical patient s data The classification of different physical populations Tracking medical health data, analyzing the behavior of the patient visits Analysis of the proportion of essential drugs in prescription The drug market that forecast on big data The pay line support the development of agricultural fund, support medical costs for certain diseases etc

10 The Basic Situation of Xiangya Hospital Construction area of about square meters 3500 beds 23,000,000 out patients 100,000 patients discharged yearly. Have four department of health key laboratories and Engineering Center, One key Laboratory of the Ministry of Education Have three department of health researches and training center Six Provincial key laboratories and clinical research center Have 54 clinical and medical departments 60,000 operations performed yearly. Have five national key disciplines 25 national clinical key specialty construction projects

11 Introduce the Basic Situation of the Hospital Information System (for example to Xiangya Hospital ) Clinical laboratory cadre examination isotope Endocrine infect blood paediatrics Kidney disease Rheumatism BreathingAnd other laboratory,100% inspection equipment is online Outpatient hospital charges drug nurse station Doctor workstation Price management Account management Blood transfusion Physical examination and so on,outpatient service card The clinic doctor workstation Rational drug use PDA Bype-B ultrasonic CT MRI DR Various endoscopic pathology Doctors station Check the application report electronic medical record Network Building control Security line up LED parking lot entrance guard background music15 subsystems, etc All electronic operation application Scheduling system Preoperative visit Operation after registration Follow-up System Nearly 200 monitors, ventilators, anesthesia machines and other medical equipment to achieve automatic data collection of anesthesia, monitoring system

12 Medical Data ( Examples of Xiangya Hospital) Information Annual data system HIS LIS 30-50GB EMR GB PACS 10-30TB

13 Xiangya Big Data Fresh Associated Applicable Health services

14 Support the continuous data growth ; Support the Multi-faceted application requirements ; Support varied data attributes: continuous, discrete ; Support complete health data, including the hospital and outside the hospital ;

15 Health Management Data=Medical data+non-medical data

16 Research data=medical data+specific Data

17 Data processing=technology+experience

18 Xiangya Big Data System:Network Deployment Diagram Information management platform of big data system Data center of Big Data System 透 明 服 务 器

19 Xiangya Big Data System:Overall Chart Central South University Big Data Transparent Service Management atform Focus on solving the multiple heterogeneous problem systematically Loading platform to realize information value-added applications

20 Xiangya Big Data System:Data Center Build Mode

21 Xiangya Big Data System :Application Design Data Center Management Information Platform (Provide information exchange and a variety of value-added information services )

22 A project proposal for Xiangya clinical work on Big Data 一 To as far as possible achieve full data collection in each hospital-based electronic medical records in accordance with the tender plan. 二 When data reaches certain scale, we perform data mining exploratory work

23 Xiangya clinical work of Big Data project proposals 2 Data mining exploratory work Exploratory data mining show - transparent computing The main work of the project team for big data Computer professional and technical team 1 EMR

24 Thank you!