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Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering

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Live sequence charts to model medical information.

Eric Aslakson¹, Smadar Szekely, Suzanne D Vernon

¹Poiema, LLC, 375 Chelsea Cir NE, Atlanta, GA 30307, USA.

Theoretical Biology & Medical Modelling

|June 19, 2012

Summary

This study introduces an object modeling technique using Live Sequence Charts (LSC) to create a formal database for medical records. This approach visually represents patient history and disease progression, aiding in data mining and analysis.

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Area of Science:

Computer Science
Medical Informatics
Data Modeling

Background:

Medical records contain valuable patient health and disease progression data.
Current methods lack systematic information mining beyond electronic health records.
A formal database for medical records is needed.

Purpose of the Study:

To develop an object modeling technique for formalizing medical records.
To establish a foundation for a structured medical record database.
To enable systematic data mining of patient narratives.

Main Methods:

Utilized Live Sequence Charts (LSC), a visual scenario-based programming language.
Formalized narrative patient interview text into an object model.
Defined inter-object scenarios to specify natural history event interactions.

Main Results:

Developed an object model from simulated and actual patient record data.
Generated a preliminary formal vocabulary for Chronic Fatigue Syndrome (CFS).
Demonstrated the translation of medical narratives into visual object models.

Conclusions:

Object models of medical records form a basis for formal databases.
This approach temporally depicts disease events, diagnosis, and treatment.
LSC object models offer an intuitive, visual representation of disease natural history.