Modernising PHE's Population Health Intelligence System

Tender description

Why the Work is Being Done PHE has a complex and fragmented data landscape,and knows that there are efficiencies to be gained in how it gathers, manages and processes data. PHE calculates over 1000 public health indicators for profiles like the Public Health Outcomes Framework; and 13 of the 20 priorities listed in the 2018-19 remit letter (https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/693855/PHE_Remit_Letter_-_March_2018.pdf) are monitored through the Fingertips platform (https://fingertips.phe.org.uk/profile/public-health-outcomes-framework) using data from over 200 different datasets. However, PHE’s stakeholders continue to require and demand more granular and timely data than it currently provides. Problem to Be Solved • Develop a clear understanding of the main internal users’ needs, the context of their work, what they aim to achieve and how in the future. • Document an understanding of PHEs current data and processes. • Identify any gaps/future workforce needs: PHE may require additional data skills in order to deliver a new approach to population health intelligence. • Market research: To identify if ‘off the shelf solutions’ exist in the market which meet the needs identified or whether something more bespoke is required. • Identify any potential requirements for hosting the new Population Health Intelligence System (PHIS). Who Are the Users PHE data analysts: Develop public health indicators and reporting mechanisms by accessing and manipulating data sets / surveys. PHE data scientists and researchers who primarily work in Health Improvement, National Infection Services (NIS) and Field Epidemiology Service (FES) on both primary and secondary data sources. It will also be necessary to engage with academic colleagues, students and interns who support the work of PHE and staff within the PHE ICT Department. Early Market Engagement None Work Already Done PHE have the 'data lake' and an indicator database PHOLIO to manage some of the data, and have developed ways to visualise and present Data. The ‘data lake’ is a combination of different data sources but the assets are not consistently catalogued or labelled making combining data from multiple sources to answer questions difficult. PHE have been promoting an automation programme with the aim of improving the efficiency of data processing and freeing up analytical time Existing Team TBC Current Phase Discovery Work Location The work can be performed from any location but is likely to be co-ordinated by staff in PHE’s Offices Working Arrangments Work may be carried out from multiple locations including the Supplier’s offices. Attendance at PHE Offices in London and in other locations around England will be required for meetings. Supplier staff are expected to be on-site at PHE locations sufficient to manage relationships with senior stakeholders; the exemplar project team and users; and, stakeholders and users in other organisations so that the outcomes of the project may be met Security Clearance Not required Additional T&Cs None Skills & Experience E1) Experience of delivering projects that model a proposed high-level system architecture E2) Recent and demonstrable experience of designing systems to manage personally identifying information under the General Data Protection Regulation (GDPR). E3) Recent and demonstrable experience in conducting the discovery phase relating to the use of digital solutions and technology in data analysis / MIS projects. E4) Recent and demonstrable experience of applying the principles of user centred design to the development of digital solutions. E5) Recent and demonstrable experience of digital systems that take input and subject this to both automated and manual validation. Nice to Haves N1) Recent and demonstrable experience of working with healthcare organisations N2) Experience of working with a range of users and stakeholders including scientific experts, technical and digital development teams N3) Recent and demonstrable experience of working on Data Science / “big data” / machine learning projects. N4) Recent and demonstrable experience of working with interdisciplinary and cross disciplinarily project teams including clinical and research science project members No. of Suppliers to Evaluate 5 Proposal Criteria P1) Proposed approach to user research to assess the needs of users including those who come from academic/scientific backgrounds. P2) Proposed approach to Discovery to determine and demonstrate what digital tools and technology can be used to meet the public health outcomes of this project. P3) Proposed approach to balancing user needs with off the shelf solutions particularly in the area of data analytics. P4) Supplier's team structure / experience Cultural Fit Criteria The Presentation (to be held in October 2018, date TBC) should summarise the Proposal and also demonstrate the approach that will be used to: C1) Work with the project team’s stakeholders who have varying experience of agile methods. C2) Flexible working arrangements and knowledge sharing; C3) Work within the constraints of existing services, budgets and technologies already used within the programme Payment Approach Capped time and materials Assessment Method Written proposal Case study Presentation Evaluation Weighting Technical competence 70% Cultural fit 10% Price 20% Questions from Suppliers Budget range £60,000 including vat for discovery. additional phases are tbc dependent on the outcomes of discovery and subsequent budgetary approvals.