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Achilles:Data Characterizing Tool and ATLAS: Cohort Extraction Tool

And Achilles is one of the tools characterizing the data in the hospital. Although you can not see the individual patient data but you can see the characteristics of the data in the hospital using the Achilles. As you see this is the address, with your mobile phone, you can access to our hospital data. It contains 2.9 million patient data for the past 24 years. So please, if you type, and log in, there may be five or six database. And of them, Dolphin(DB) is the lastest one. You can see. As you see using the Achilles tools. It represents various the characteristics of the data. And you can see the condition, condition means the dialysis.
The bigger one means the high prevalence in dialysis of the hospitals. For example here, in the other university, the breast cancer patient increases six times during that 10 years as you see, forty and fifty, six time increase. Also we converted the national health insurance data. 1million…It contained 1 million patients data. It contains past 10 years data and we can find a 3 times increase in breast cancer. That means the same increase in the breast cancer, prevalence of breast cancer in the nation. So we can find this result very easily within 1 minute, by using the Achilles OHDSI. Achilles is free to anyone. Anyone can use it. Like this procedure, Lab tests. Okay, ATLAS is another tool.
In the later step, in the tutorials, you can see and you can handle the ATLAS and Achilles for you. Okay Atlas is a tool for the researchers. So when you try to extract data, or quote for your research, you have to make a very long list of analytic code to that, for that. But we, by using the Atlas, you do not need it. By clicking the functions, you can make your design your own facilities, and the software automatically generates human-readable ones for the study. And it also visualizes the code and the great thing of this tool is it generates SQL queries that making… that enabling extracting that patient data problem from the databases.
You do not need to make any extra queries to obtain the study, that data for your study. So like, it generate this clicking. This clicking made SQL queries more than 1000 the lines. It only takes within few seconds.

This video, Dr. Rae Woong Park introduces you ACHILLES and ATLAS tools.

Automated Characterization of Health Information at Large-scale Longitudinal Evidence Systems (ACHILLES) is one of the tools characterizing the data in the hospital. It is a platform that enables the characterization, quality assessment and visualization of observational health databases. ACHILLES provides users with an interactive, exploratory framework to assess patient demographics, the prevalence of conditions, drugs, and procedures, and to evaluate the distribution of values for clinical observations.

You can check this demo webpage by following Dr. Rae Woong Park’s demonstration.

ATLAS is another tool for researchers. When researchers attempt to extract data or quote for research using the ATLAS, the researchers can design their own facilities, and the software automatically generates human-readable data for the study. Additionally, it generates SQL that enables extracting that patient data problem from the databases. This is convenient for the researcher.

The demonstration of ATLAS will be presented by Dr. Seng Chan You. We will see the tutorial in the later steps.

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AI and Big Data in Global Health Improvement

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