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MAHI Research Database. Data Validation System Software Prototype Demonstration September 18, 2001 Aug, 2001: Project Status Report. Project Vision & Goal Task Analysis Tentative Schedule Summary of Phase-1 Task Research: Validation Hierarchy

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Mahi research database

MAHI Research Database

Data Validation System Software Prototype Demonstration

September 18, 2001

Aug 2001 project status report
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

Project goals
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

Project task analysis
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

Phase 1 data validation
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

What s next data integration
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

Today s presentation
Today’s presentation

  • Prototype overview

  • Live demonstration

  • Audience feedback & discussion


  • 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

Staged development for the mahi research database system
Staged development for the MAHI Research Database System


Data analysis

Behavioral prototyping:

- Appearance and behavior of user interface

Phase 3

Data integration

Phase 2

Structural prototyping:

- Implementing application functionality

Data validation

Phase 1


How we performed prototyping
How we performed prototyping

  • ‘Look-and-feel’ vs. ‘Evolutionary’ prototyping

Gather user


Refine user


Construct structural





Develop ‘look-and-feel’



Design software


Evolve prototype;

verify and deliver


Design user


Construct and verify


Construct and

verify product

Deliver product

Evaluating the prototype
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?

Data validation system objectives
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.

Using the data validation software system
Using the Data Validation Software System



XML Schemas & Stylesheets

Multiple disparate data sources


(via SAS)

Admit File (ASCII)





(. xml)

Quarantine database

XML-Quarantine User Interface (XQUI)

XML repository

Storage database



Inform Screen (.dbo)

Web views





System features
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

Log in and authentication
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.

The main panel
The Main Panel

  • The Main panel allows the user to connect to the quarantine database.

Pop-up window showing user authentication

was successful.

  • 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.

The main panel1
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.

The settings panel
The Settings Panel

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.

  • The Settings panel is used to create new user login settings.

  • Information about the current network port and host settings are also displayed here.

The record viewer
The Record Viewer

  • The Record Viewer displays all fields of a particular record.

This column lists all the fields for the record.

This column lists the values for various fields.

Fields that have an error have their corresponding ErrorFlags field checked.

After changes in the records are made, using this button, database will be updated.

Correcting errors
Correcting errors

  • The validator module returns records containing 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.

Xml data conversion
XML Data Conversion

  • The XMLGen module converts validated records into an interim XML representation.

A validated InformScreen record in XML

InformScreen records in Quarantine database

Xml data conversion1
XML Data Conversion

  • The XSLTransform module then converts the interim XML documents into a common document format (MahiDoc).

MahiDoc AdmitFile record

Interim AdmitFile record

Interim InformScreen record

MahiDoc InformScreen record

Exporting to database
Exporting to Database

  • The validated MahiDoc files are exported into SQL Server 2000 database using Microsoft’s OpenXML extension.

Exported XML data is stored into Patient, Encounters, Readings, and Location tables.

MahiDoc InformScreen record in XML repository