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pPlus Logical Data Model

Lance LuAugust 1st, 2008

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pPlus Logical Data Model

IMPORTANT NOTICE

This document is to capture ideas related to subject area model, conceptual datamodel, logical data model and physical data model within the context of Lash Group

business offering.

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DATA MODEL HIERARCHY

There are multiple types of data models. Each type of data model has characteristicthat make it more useful than other types for a particular purpose.

SUBJECT AREA MODEL

A subject area is a useful partitioning of business offering, it is a cohesive collection ofentities and relationships in the conceptual data model. A subject area modelminimizes technical details and focus instead on delineating and defining subject areaof interest to executive and high-level decision-makers, is usually served for high-levelplanning and setting of project scope. The definition of the subject area model is out-ofthe scope of this document, and examples of subject areas are:

Enrollment Administration Subject Area

Web Enrollment

Phone Enrollment

Fax Enrollment

AWD

Benefit Verification Subject Area

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Status Changes

To_Dos

Missing Information

Correspondence Subject Area

Letter Manager

Document ManagementDistribution Subject Area

Inbound

Outbound

Fulfillments

Nursing Service Subject Area

CONCEPTUAL DATA MODEL - CONCEPTUAL ENTITIES ANDRELATIONSHIPS

Conceptual data model has sufficient detail to be useful as a definition of informationrequirements. The intended audiences for this model are decision-makers, subjectmatter experts and information technology experts responsible for requirement analysis.

The conceptual data model is technology-independent, and applicable to multiple logicalmodels. For example, a set of classes and relationships could be designed for anobject-oriented application, a well-normalized logical data model could be designed fortransactional database, a star-schema could be designed for analysis database.

Over the years, a set of vocabulary is developed to describe the activities that areassociated with various subject areas. In the conceptual data model, these

vocabularies are formalized as conceptual entities, attributes, relationships andconstraints:

_Contacts

_Patients

_Providers

_Sites

_Pharmacies

_Contact_Programs

_Contact_Program_Products

_Program_Products

_Programs _Products

_Contact_Insurances

_Plans

_Payers

_PBMs

_Contact_Program_Services

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_Contact_Program_Product_Contacts

_Status_Codes

_Status_Code_Explanations

_Contact_Status_Informations

_Contact_Program_Product_Orders

_Contact_Program_Fulfillment_Orders

_Contact_Program_Product_Claims

_Contact_Program_Product_AWD

_Contact_Program_Product_Messages

_Contact_Program_GNSS

_Contact_Web

_Contact_Call_Logs

_Contact_To_Dos

and etc.

Conceptual Entities

The conceptual entity is represented as an entity by using Microsoft Visio, and namedwith a leading _ to differentiate it from the main entity name in the pPlus logical datamodel. The primary key of the conceptual entity represents the primary key of the mainentity in pPlus logical model. The conceptual entity consists of major pPlus entities,associated entities and relationships. Only primary keys are foreign keys are listed asattributes.

Conceptual Relationships

The relationship between conceptual entities is presented by those of the main entitieswithin the respective conceptual entities.

is to describe

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4. Choose the data source that points to the new pPlus implementation, and SelectNext. The Update Database Wizard will compute the conflicts betweenselected database and the standard pPlus database.

5. Select Refresh for all conflicts, and make sure do NOT update database,6. Select Finish to complete the update database wizard,

7. Review the content of DDL file,8. Update logical data model with the content of the conflict file,a. Review what objects are been removed from the data model,b. Review new tables and foreign keys, and manually add them to the data

model.

PPLUS PHYSICAL DATA MODEL - PPLUS DDL

The documented pPlus data model includes all tables, views, indices, foreign keys,triggers and store procedures. Therefore, a physical data model could be generated byusing the generate DDL feature from Visio, and be checked into source control.

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