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MAHI Research Database Data Validation System Software Prototype Demonstration September 18, 2001

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Presentation on theme: "MAHI Research Database Data Validation System Software Prototype Demonstration September 18, 2001"— Presentation transcript:

1 MAHI Research Database Data Validation System Software Prototype Demonstration September 18, 2001 http://www.cstp.umkc.edu/~yugi/mahi.html

2 Aug, 2001: Project Status Report Project Vision & Goal Task Analysis Tentative Schedule Summary of Phase-1 Task Research: Validation Hierarchy Prototype Development Secure Protocol (Digital Sender) Potential Future Project

3 Project Goals Information System for Medical Databases Phase-1: Data Validation Phase-2: Data Integration Phase-3: Data Mining and Analysis Improve medical database system using new technologies (XML, hierarchical repository, component, etc) Focus on an open architecture (scaleable, flexible, available, integrable, etc) Develop representations and models

4 Project Task Analysis Research Technology analysis and review Development of models and algorithms Publication System Development Requirements/domain analysis System design Prototype development Deliverables Demo System specification/source code Tutorial

5 Phase-1: Data Validation Requirements and Technology analysis Understanding MAHI database system Identifying stakeholders’ needs Technology review and analysis System architecture: XML-based information system Prototype development (proof-of-concept) scaleable, flexible, available, integrable, secure

6 What’s next? Data Integration Data integration and storage Understanding of disparate data sources Data integration for multiple data sources Data exchange between XML and databases Seamless Integration with the current MAHI system Data conversion of legacy database Enhancement of data validation Technologies: XML-repository, databases, data warehouses, component technologies

7 Today’s presentation Prototype overview Live demonstration Audience feedback & discussion

8 Purpose We want to make the product tangible, bring usage scenarios to life, and close gaps in understanding user requirements. 3 major focuses: Clarify and complete requirements Explore design alternatives Grow into the fully-realized product

9 Staged development for the MAHI Research Database System Structure Behavior Data validation Data integration Data analysis Phase 2 Phase 3 Phase 1 Behavioral prototyping: - Appearance and behavior of user interface Structural prototyping: - Implementing application functionality

10 How we performed prototyping ‘Look-and-feel’ vs. ‘Evolutionary’ prototyping Gather user requirements Construct structural prototype Design software architecture Construct and verify product Deliver product Construct evolutionary prototype Evolve prototype; verify and deliver increments Refine user requirements Develop ‘look-and-feel’ behavioral prototypes Design user interface Construct and verify product

11 Evaluating the prototype Functionality implemented in expected way? Any missing functionality? Any error conditions that the prototype does not address? Any unnecessary functions? How comfortable and logical does navigation seem? Easier ways to perform this task?

12 Data Validation System Objectives Provide a common handler to validate all new in-coming data. Represent the new data in a common, well-structured format that is easily read and manipulated by processing applications. Separate data content in patient records from process- and presentation-dependent metadata. Provide a data transformation process to integrate in- coming patient records for storage in the database.

13 Using the Data Validation Software System T T T db Researcher (via SAS) Data Coordinator IT Administrator Multiple disparate data sources XML Schemas & Stylesheets Admit File (ASCII) Inform Screen (.dbo) Quarantine database Storage database XML repositoryXML-Quarantine User Interface (XQUI) Data interchange Industry standard Web views (. xml)

14 System features User friendly interface Web accessible Log-in and authentication The Main panel The Settings panel The Record Viewer Correcting errors XML data conversion Exporting to the database

15 Log-in and authentication User id and password authenticated in this window. This tab gives user the option to provide user login and password. User login completed pressing this button. User can Log-off using this button. Password log-in feature for accessing the application. Added security.

16 The Main Panel User can select the data source to validate and the XML schema to use. Files are scanned for errors; errors are displayed. User can resubmit the corrected records from this panel. Pop-up window showing user authentication was successful. The Main panel allows the user to connect to the quarantine database.

17 The Main Panel User selects table name from a drop down box. It also shows the records display. You can enter the range of records to validate. Pressing this button will call the “validator” module. Progress bar indicating no files processed.

18 The Settings Panel The Settings panel is used to create new user login settings. Information about the current network port and host settings are also displayed here. This panel allows you to make new user login settings. Add user button Dialog box notifying of the success of the new user id creation.

19 The Record Viewer The Record Viewer displays all fields of a particular record. Fields that have an error have their corresponding ErrorFlags field checked. This column lists the values for various fields. This column lists all the fields for the record. After changes in the records are made, using this button, database will be updated.

20 Correcting errors Validate the records selected by the user and list them on the screen. Lists all the records within the range specified by the data operator. Lists the no. of errors in the particular record. The validator module returns records containing errors.

21 XML Data Conversion InformScreen records in Quarantine database A validated InformScreen record in XML The XMLGen module converts validated records into an interim XML representation.

22 XML Data Conversion The XSLTransform module then converts the interim XML documents into a common document format (MahiDoc). Interim AdmitFile record Interim InformScreen record MahiDoc AdmitFile record MahiDoc InformScreen record

23 Exporting to Database The validated MahiDoc files are exported into SQL Server 2000 database using Microsoft’s OpenXML extension. MahiDoc InformScreen record in XML repository Exported XML data is stored into Patient, Encounters, Readings, and Location tables.

24 The End


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