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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.
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.
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.
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