Implementation Package Project Name: Business Owner: Data Repository Max Erhmann Project ID: Product Owner: Zac Wyner Project Manager: Zac Wyner Please see the accompanying presentation, Implementation Package Development Training for help in completing this template. The training slides break down each section of this document by its intent, guidelines for use, and examples. Note: Mandatory sections of the Initiation Package have “(M)” after their title. These sections must be completed in order for the project to be considered in the Change Control Board (CCB) process. 1. Background / Rationale: (M) Intent: Provide sufficient information to outline and define the specific business opportunities or problems that will be addressed by the project and the reasons which support the development of the new system. Format: Text, yet can also be augmented by combining diagrams and/or illustrations of current systems. BACKGROUND: Currently, the Sentinel QA group produces and collects information about data completeness, characterization, and quality of data across the 18 Sentinel data partners. This involves several processes and tools as outlined below: QA Processes Process Output Output Content Output Sample SAS datasets “Output files” with summary statistics MSCDM variables K:\TIDE Projects\FDA_Sentinel\03. Data Activities\03. Data Checking\04. Output from Data Partners\01. Data Quality and Reports\Y5R4\HMGHC\MSOC ETL_Compare .sas SAS datasets (not saved) Excel file (refresh_tables.xls) Differences between current and previous ETL K:\Sentinel\requests\qa\kpnc\packag es\to16_upd_qar_wp002\to16_upd_ qar_wp002_kpnc_v01\msoc QA runs DaRT to do error checks (Imports refresh_tables into DaRT) “DaRT” Excel with VBA Excel (MS Core Data QA Review for[dp].xlsx) Error codes and their descriptions for MSCDM and table and variable, communication between DP and MSOC about issues K:\Sentinel\requests\qa\kpnc\packag es\to16_upd_qar_wp002\to16_upd_ qar_wp002_kpnc_v01\reports QA Report sent to DP SFTP MSCDM ETL Data Partner Survey PDF form sent via PMN file transfer PDF form A mixture of categorical and freetext responses from each DP. Some are table specific; some are table/variable specific; some are more general. K:\TIDE Projects\FDA_Sentinel\03. Data Activities\03. Data Checking\04. Output from Data Partners\07. Data Partner Questionnaire\Clinical Data Elements Questionnaire DP correspondence Email Emails that characterize or explain data Data partner notifies HPHC that new ETL is ready QA sends package to DP DP runs QA package DP returns QA package QA compares new version of QA output tables to previous version File Name: Document1 Tool Email PMN SAS PMN DMC Page 1 of 4 Note: All of the above processes need to be unified in a single resource in which an investigator or analyst at MSOC is able to query the repository to obtain all information available on a DP, variable, or a component of a variable (a specific NDC or PX code in the MSDD). RATIONALE: The proposed QA repository would benefit the MSOC and its stakeholders in the following ways: 1. Reduce time spent on answering specific data related questions 2. Increase the capacity of the QA group to perform QA processes 3. ETLs approved and moved to production faster 4. Increase the speed at which QF can complete data requests that are waiting for refreshed data 5. Allow for more complicated questions to be asked of QA than they currently have the capacity to handle 3. Driving Requirements: (M) (system function) Intent: Provide a high-level, executive overview of what the system must do. The requirements should not specify solutions—only the key capabilities necessary to solve the business problems. 4. DR Key Driving Requirement DR 1 The system must pool data from the first 3 outputs listed above into a query-able relational database structure DR 2 The system must make available all QA information about a chosen data element from the MSDD DR 3 The system must be able to compare all data / metadata about a current ETL to a previous ETL DR 4 The system must present all information about any data element in the MSDD for a single data partner or across any combination of data partners DR 5 The system should be accessible via a web-based interface DR 6 The system should be integrated into the PopMedNet system Supported Scenarios: (business process) Intent: Document the list of business scenarios that the overall system will need to address and support. SS Key Supported Scenario SS 1 Get counts of any continuous data elements in the system stratified by values SS 2 Get proportions for any values of categorical data elements in the system SS 3 Get completeness/missingness counts on any data elements in the system SS 4 Get summary statistics on any data elements in the system SS 5 Compare current ETL information about any data element in the system to information from previous ETL versions SS 6 Get all error codes for to a single data element across all data partners SS 7 Get all error codes relating to a one or more data partners File Name: Document1 Page 2 of 4 5. Context Diagrams: (M) QA Process Diagram - Complete Proposed Context Diagram Steps 5 - 11, 13, and 14, in the QA Process diagram above, produce metadata that needs to be captured by the Repository in phase 1 as diagramed below. (Note: Data from step 4 will be incorporated in a future phase). Repository Phase 1 File Name: Document1 Page 3 of 4 7. Description of the Expected Business Outcomes: (M) Intent: Acknowledge and communicate the expected outcome for the business as a result of the project. Expected business outcomes measure the business success of the initiative. Also note when the outcome is expected, how that outcome will be measured and who will be responsible for that measurement. Expected Business Outcome Due Overall time spent responding to queries about QA data is reduced by 1 month per year The QA group’s average time to complete a data partner ETL is reduced by at least 5% The complexity of questions asked by requesters (MSOC, FDA, and occasionally Data Partners) increases 1 month post implementation DMQA 1 year post implementation DMQA 1 year post implementation DMQA File Name: Document1 Page 4 of 4 Measurement Methodology Who