Medical Big Data Interpretation

(1)

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)

1. Volume

2. Variety

3. value

4. Velocity

washing grains of gold out of the sands,

low value density

Real-time access to information needed

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.

huge amount of data

What is Big 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

Today's data type had a variety of data format; text, orders, logs, images, audio, video, and so on.

structured data, semi-structured data and

unstructured data

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

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.

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

(4)

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.

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)



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.

Status of Medical Data

Financial, medical,

workload statistics,

serves for the

hospital

management

Statistical analysis of

medical data for

health management

decision-making,

implementation

supervision

Patient information

consulting, providing

convenience for

doctor

Scientific data

analysis, providing the

quality and quantity of

scientific data, reduce

the workload of

(7)

Big Data Analysis

Data quality and data management

Visualization analysis

Semantic engine

Data mining algorithm

prediction analysis ability

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

The application of transparent computing

Application of transparent computing,

better data display and user experience

(8)

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

Big

Data

Analysis

Technology

(9)

present domestic research Content

Clinical data comparison therapy, to analyze the optimal therapeutic Matching the patient with the appropriate approaches;

Clinical decision support Drug rations , focus groups, chronic disease and other kinds of warning information and repeat the test / inspection tips etc. The new service model According to clinical data analysis, provide a new model of personalized medical

services and self-service, etc. Real-time statistical

analysis Display the healthy statistics in public Analysis of data remote

patient monitoring Monitoring and analyzing clinical patient’s data Demographic analysis The classification of different physical _populations Medical behavior analysis Tracking medical health data, analyzing the _{behavior of the patient visits} clinical practice analysis of

basic drugs Analysis of the proportion of essential drugs in prescription drug discovery The drug market that forecast on big data Analysis of the new rural

cooperative medical fund data

The pay line support the development of agricultural fund, support medical costs for

certain diseases etc

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

(10)

The Basic Situation of Xiangya Hospital

Construction

area of about

400000 square

meters

3500 beds

23,000,000

out patients

Have five national

key disciplines

100,000 patients

discharged yearly.

60,000 operations

performed yearly.

25 national clinical

key specialty

construction projects

Six Provincial key

laboratories and

clinical research

center

Have three department

of health researches

and training center

Have 54 clinical and

medical departments

Have four department of

health key laboratories

and Engineering Center,

One key Laboratory of

the Ministry of Education

(11)

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

Network、Building control、Security、 line up、LED、parking lot、entrance guard、background music15 sub-systems, etc。

All electronic operation application、Scheduling system 、Preoperative visit、 Operation after registration、 Follow-up System

Doctors station、Check the application report 、 electronic medical record

Clinical laboratory 、cadre examination 、 isotope 、Endocrine、infect 、blood 、 paediatrics、Kidney disease 、

Rheumatism、BreathingAnd other laboratory，100% inspection equipment is online

Introduce the Basic Situation of the Hospital Information System

（

for example to Xiangya Hospital

）

Nearly 200 monitors, ventilators, anesthesia machines and other medical equipment to achieve automatic data collection of