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What Data can be Migrated?
Here is an overview of data that can be migrated:
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The types of customer data which can be migrated include the following
Volunteer Data
This is the information about the volunteer, such as contact, and medical history.
Appointments
Past or future appointments.
Study Participation
Summary info about a volunteer’s previous study participation. This is extremely limited, does not include clinical data, and is meant to support advanced volunteer search.
Configuration
Configurations required to support migrated data include initialization of lists of supported medications, substance uses, and medical conditions.
Often these appear in source systems as data drop-downs.
What are the mappings required to migrate any source data into ClinSpark?
Some data maps cleanly into ClinSpark, like DOB. Any transformations required must be noted in the specification, such as from source system race definitions to those categories used in ClinSpark.
An example is volunteer phone data. Migration is an opportunity to clean source data. We need very explicit instructions with example errors on the source side, and a definition of what transformations are requested.
Another common example is medical history. Substance use data for instance frequently needs to be “cleaned” so that it can be transformed into the ClinSpark representations. To document these transformations between data representations in the source DB and the desired representation in ClinSpark, we suggest using a spreedsheet or alternative method of presenting tabular data.
This approach is ideal since it can be ingested programmatically by the transformation program.
Migration Specification
This document identifies the places in ClinSpark which can receive migrated customer data. For each type of data, it is the customer’s responsibility to identify where in their source system this data can be found.
This document is intended to be used as a worksheet, specifying all migration work which must be done. Any work to be performed by IQVIA engineering must first be clearly specified in this document. Upon completion, this document will serve as a record of migration work which has been performed, and as a guide for user testing and validation.
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Collaborative Document
The specification document is collaboratively filled out over the course of the migration process. It is not unusual to see multiple editors working on different sections of the document. And a critical part of the workflow is inline comments which can be assigned to readers and support threaded discussions about particular portions of the document.
To support this, the specification itself needs to be on a collaboration platform. We may be able to offer e.g. Teams / Sharepoint / Excel as a collaboration platform to certain customers, and if not, we may be able to use yours.
Specification Example
The following example specification has been designed to be read by a script during the migration process…
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Specification Sections
The specification is broken up into sections (tabs in the workbook), where each section is a different place in the ClinSpark UI that can potentially receive volunteer information.
For each section, the following areas must be documented:
ClinSpark UI
A portion of volunteer data will be taken from the ClinSpark UI, and may be annotated with numbered dots which identify individual fields.
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This defines the scope of this section of the spec. The remainder of this section will cover other details about these fields.
Customer Source UI
For the numbered dots defined above in ClinSpark, show where in the source UI this data lives.
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Trace Fields to the Customer Source DB
For each field we need to know how the data shown in the source UI is represented in the source DB.
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To demonstrate that this is correctincluded:
Migration Specification
List the following:
Source System Table/Screen
Source System Column/Atttibute
CS Table/Screen
CS Column/Atttibute
Migrate (Y/N)?
Status (Dev Ready/Dev Complete/Validated)
Migration Instructions/Rules
Comments
Then for each data type (Medication Form, Medication Target, Medication Frequency etc.) all the possible options for Source must be listed against their intended target.
Screenshots
Screenshots of target and source should not normally be needed unless we run into difficulties…
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SQL
It will not normally be needed to provide the SQL for each field in case we run into difficulties…
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If required, provide the SQL in a textual form which can be copied and later executed by engineers as examples. Provide the execution output showing the test data highlighted in this section’s example to demonstrate it is correct.
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The specification changes for later iterations should focus on particular issues, and they should clearly articulate the change and most importantly, reference test cases with specific examples from the test data.
About the Requirements
What Data can be Migrated
Here is an overview of data that can be migrated:
...
.
...
The types of customer data which can be migrated include the following
...
Data
...
This is the information about the volunteer, such as contact, and medical history.
Appointments
Past or future appointments.
Study Participation
Summary info about a volunteer’s previous study participation. This is extremely limited, does not include clinical data, and is meant to support advanced volunteer search.
Configuration
Configurations required to support migrated data include initialization of lists of supported medications, substance uses, and medical conditions.
Often these appear in source systems as data drop-downs.
What are the mappings required to migrate any source data into ClinSpark?
Some data maps cleanly into ClinSpark, like DOB. Any transformations required must be noted in the specification, such as from source system race definitions to those categories used in ClinSpark.
An example is volunteer phone data. Migration is an opportunity to clean source data. We need very explicit instructions with example errors on the source side, and a definition of what transformations are requested.
Another common example is medical history. Substance use data for instance frequently needs to be “cleaned” so that it can be transformed into the ClinSpark representations. To document these transformations between data representations in the source DB and the desired representation in ClinSpark, we suggest using a spreedsheet or alternative method of presenting tabular data.
Here is an example….
...
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This approach is ideal since it can be ingested programmatically by the transformation program.
Questions, Issues, Decisions
Place topics for discussion here. Add comments and assign them as appropriate to members of either the Foundry or customer team.
Implementation Evidence
Once implementation is done by IQVIA, we will place screenshots showing what this looks like here.
Data Without an Existing Field in ClinSpark
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For these one option is to create within ClinSpark custom volunteer questions, and migrate the source data into these questions. For example here are some custom questions from a demo system:
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Project Tracking
In addition to the specification, each migration effort will be managed and tracked (questions, issues, decisions etc.) in a Basecamp sub-project…
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