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A Report on a Framework to Enable NHS Fort Valley Enhance its Innovation Pipeline Implementation.doc

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A Report on a` Framework to Enable NHS Fort Valley Enhance its Innovation PipelineImplementationStudent’s NameInstitution AffiliateCourseDate1
AbstractThe report covers detailed information regarding Upstairs Inc.'s assessment of NHS's approachthat it may use to implement an innovative means of sharing data with its key stakeholders toenhance its standards of data integrity. One of the crucial areas to focus on is the creation of aninnovation pipeline to enhance the organization's ability to coordinate its different facilitiesgeared towards enhancing Scotland's healthcare sector. The report covers two significantsections of project implementation using the CRISP-DM model of project implementation inwhich the business and data understanding sections are covered. The report further coversseveral recommendations to enhance the innovation pipeline framework, especially dung theinitial and implementation phases.2
Table of ContentsAbstract......................................................................................................................................................2Background................................................................................................................................................5Business understanding...........................................................................................................................5Business objectives..............................................................................................................................5Business Success Criteria...................................................................................................................6Inventory of resources..........................................................................................................................6Requirements, assumptions, and constraints...................................................................................7Requirements....................................................................................................................................7Assumptions......................................................................................................................................8Constraints.........................................................................................................................................8Risks and contingencies......................................................................................................................8Cost and Benefit Analysis....................................................................................................................9Data-Mining Goals..............................................................................................................................10Data understanding................................................................................................................................11Project Plan.........................................................................................................................................11Table 1. Project plan..........................................................................................................................12A Review of the outcomes of the project phases........................................................................12Description of Collection Tasks.........................................................................................................12Table 2 Data collection tasks..............................................................................................................14Description of the Data.......................................................................................................................14Conclusion and recommendations.......................................................................................................14References..............................................................................................................................................16Appendices..............................................................................................................................................18Appendix 1 CRISP-DM model.................................................................................................................183
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BackgroundEmbedding data and business analytics tools in an organization remain one of the critical areasto focus on in the current data-driven world where Upstairs Inc. specializes. NHS Forth Valley isone of the organizations likely to benefit from implementing effective data analysis and businesstools. NHS Forth Valley remains one of fourteen regional health boards that serve a largepopulation of approximately more than 306,000, found in diverse geographical locations withinthe center of Scotland (Wallace Medical Centre, nd). The NHS board is in charge of an annualbudget of around £570 million and employs about 8000 staff. The board is in charge ofmanaging diverse operations from its key organizations. To effectively manage the health careoperations, the innovation pipeline remains one of the key focus areas in which a firm or anorganization attains its primary corporate objectives by leveraging on the application ofinnovative methods and processes systematically and sustainably (Arora et al., 2021). There isa need for the board to have effective work data-sharing platforms that are easily monitored andused to ensure that the board deals with all forms of data in accordance with its privacystandards and those of other key stakeholders. This report covers the business and dataunderstanding which forms an integral part of successful project implementation and is used tocover an innovation pipeline strategy for NHS.

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Term
Summer
Professor
N/A
Tags
Project Management, Data Mining, National Health Service

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