With the emergence of new technologies in an endless stream, organizations around the world are changing and evolving at lightning speed so that they can be used when new technologies become available. One of the most dynamic areas currently is business intelligence (BI). Think about it, you may be accustomed to using BI data in the form of metrics delivered to you by IT or data scientists on a weekly or monthly basis. However, what key technologies should a modern BI possess in a hospital? Next, take the Smartbi big data analysis system as an example to give you a detailed introduction.
A hospital big data platform must have four key technologies, which are ETL technology, data warehouse technology, OLAP technology, and BI display technology.
1) ETL technology-data source extraction, processing, and integration characteristics across multiple business systems
ETL (Extraction-Transformation-Loading) realizes functions such as integrating the increasing amount of data, reducing the amount of data loading by capturing changes in data, simplifying the process of data insertion and updating, and analyzing information to identify dirty data, so as to make accurate, clean and consistent Data enters the data warehouse.
2) Data warehouse technology-data after ETL processing is classified and stored centrally and accumulates characteristics over time
The main object of the data warehouse is multidimensional data, so it is also called multidimensional database. The data of the multidimensional database is stored in an array, with strong query capabilities, and realizes online transaction analysis (OLAP), which includes interactive data query. The data warehouse has the following four key features: subject-oriented (Subject Oriented) data collection, integrated (Integrated) data collection, time-varying (Time Variant) data collection, and nonvolatile (Nonvolatile) data collection.
3) OLAP technology-data theming, building a multidimensional data model, and establishing the characteristics of a hospital multidimensional analysis database
The solution provides online analytical processing (OLAP) and data mining functions, and can design, create and manage multidimensional structures containing data aggregated from other data sources (such as relational databases). OLAP is based on the data warehouse for multidimensional and comprehensive analysis of data, constructing an analysis-oriented multidimensional data model, analyzing and comparing multidimensional data from multiple different angles, and finding out their internal connections. The multidimensional data model is OLAP basis.
4) BI display technology-platform-based, multi-style, multi-channel, arbitrary data analysis display characteristics
The system provides a wealth of data display methods. In addition to providing user-defined reports and traditional area charts, graphs, bar charts, and pie charts, it also provides a variety of display methods such as scatter charts, normal distribution charts, radar charts, and electronic map navigation to make data analysis more Intuitive. The query analysis results generated by the system can flexibly output reports in various formats such as EXCEL, WORD, PPT, PDF, etc., for users to perform secondary processing.
Figure: The overall architecture diagram of a Smartbi hospital case
Figure: Daily operational data analysis diagram of a Smartbi hospital
The above picture is the data effect displayed by Smartbi's hospital BI system. Display business information and knowledge with pictures and texts, and use data visualization large screens to display to relevant users, allowing them to obtain business insights in a timely manner and make business decisions agilely and accurately. Let the hospital leaders' decision-making is no longer a slap in the head, but based on the results of data analysis, using data to speak and scientific management. The hospital can also allocate resources reasonably according to the patient's medical situation to provide patients with better medical services!