Meaningful Integration of Data Analytics and Services in MIDAS Project: Engaging Users in the Co-Design of a Health Analytics Platform

Cleland, Brian; Wallace, Jonathan; Bond, Raymond; Black, Michaela; Mulvenna, Maurice; Rankin, Debbie; Gomes, Julius Francis; Connolly, Peter; Epelde, Gorka; Campbell, Susan

doi:10.14236/ewic/hci2018.169

Cited by 4 publications

(4 citation statements)

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“…A substantial part of technology adoption in public health and healthcare is the utility of the tools and the meaningfulness of their outcomes. As a result of being co-created with stakeholders [8], undergoing regular impact evaluations [10], and having usability formally evaluated by policy-makers [6], the MIDAS platform has proved its usefulness and has led to the development of components driven by stakeholder requests. Significant interest was established in the MIDAS platform in what it can offer to new regions, cities and organizations.…”

Section: Resultsmentioning

confidence: 99%

“…Data can be pulled into the platform from private or public data sources. The MIDAS platform has been successfully tested, validated [6] and evaluated by four pilot sites in public health institutes throughout Europe (Finland, Northern Ireland, Ireland and the Basque Region) realizing success across different priority policy areas. Each of these pilot study priorities is closely related to COVID-19, either in terms of the associated risk (e.g.…”

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confidence: 99%

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Meaningful Big Data Integration for a Global COVID-19 Strategy

Costa

Grobelnik

Fuart

et al. 2020

IEEE Comput. Intell. Mag.

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With the rapid spread of the COVID-19 pandemic, the novel Meaningful Integration of Data Analytics and Services (MIDAS) platform quickly demonstrates its value, relevance and transferability to this new global crisis. The MIDAS platform enables the connection of a large number of isolated heterogeneous data sources, and combines rich datasets including open and social data, ingesting and preparing these for the application of analytics, monitoring and research tools. These platforms will assist public health authorities in: (i) better understanding the disease and its impact; (ii) monitoring the different aspects of the evolution of the pandemic across a diverse range of groups; (iii) contributing to improved resilience against the impacts of this global crisis; and (iv) enhancing preparedness for future public health emergencies. The model of governance and ethical review, incorporated and defined within MIDAS, also addresses the complex privacy and ethical issues that the developing pandemic has highlighted, allowing oversight and scrutiny of more and richer data sources by users of the system.

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Section: Resultsmentioning

confidence: 99%

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confidence: 99%

Meaningful Big Data Integration for a Global COVID-19 Strategy

Costa

Grobelnik

Fuart

et al. 2020

IEEE Comput. Intell. Mag.

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“…The workshop took participants through a staged process, which included the development of “personas” (i.e., typical users of the system), the identification of “user stories” (simple, non-technical descriptions of user requirements), and the brainstorming of “wireframes” (interface design ideas) on paper and online. The results from the workshop were subsequently collated, analyzed and distributed among consortium partners to inform the future development of the MIDAS platform ( 26 ).…”

Section: Methodsmentioning

confidence: 99%

System Architecture of a European Platform for Health Policy Decision Making: MIDAS

Shi

Nikolić

Fischaber

et al. 2022

Front. Public Health

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BackgroundHealthcare data is a rich yet underutilized resource due to its disconnected, heterogeneous nature. A means of connecting healthcare data and integrating it with additional open and social data in a secure way can support the monumental challenge policy-makers face in safely accessing all relevant data to assist in managing the health and wellbeing of all. The goal of this study was to develop a novel health data platform within the MIDAS (Meaningful Integration of Data Analytics and Services) project, that harnesses the potential of latent healthcare data in combination with open and social data to support evidence-based health policy decision-making in a privacy-preserving manner.MethodsThe MIDAS platform was developed in an iterative and collaborative way with close involvement of academia, industry, healthcare staff and policy-makers, to solve tasks including data storage, data harmonization, data analytics and visualizations, and open and social data analytics. The platform has been piloted and tested by health departments in four European countries, each focusing on different region-specific health challenges and related data sources.ResultsA novel health data platform solving the needs of Public Health decision-makers was successfully implemented within the four pilot regions connecting heterogeneous healthcare datasets and open datasets and turning large amounts of previously isolated data into actionable information allowing for evidence-based health policy-making and risk stratification through the application and visualization of advanced analytics.ConclusionsThe MIDAS platform delivers a secure, effective and integrated solution to deal with health data, providing support for health policy decision-making, planning of public health activities and the implementation of the Health in All Policies approach. The platform has proven transferable, sustainable and scalable across policies, data and regions.

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“…A key focus of the project is ensuring that the information delivered by the MIDAS platform is relevant and actionable, and to this end the consortium has adopted a user-centred design ethos. A broad selection of experts from a diverse spectrum of backgrounds were chosen in order to effectively capture user needs and provide realistic engagement in the co-design of the system [2]. This approach has been driven by a realisation that ultimate users of the system are likely to be very diverse, and will include stakeholders with very different backgrounds and levels of technical knowledge -from statisticians and data scientists to senior civil servants and politicians.…”

Section: Midas Project Overviewmentioning

confidence: 99%

Usability Evaluation of a Co-created Big Data Analytics Platform for Health Policy-Making

Cleland¹,

Wallace²,

Bond³

et al. 2019

Lecture Notes in Computer Science

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The increasingly important role of big data in organisational decisionmaking brings with it significant challenges in terms of designing usable software interfaces. Specifically, such interfaces must allow users to explore, analyse, and visualise complex data from heterogeneous sources and derive insights to support management decisions. This paper describes a usability evaluation of the MIDAS Project, a big data platform for health policy-making, developed by an EUfunded Horizon 2020 project involving a number of international partners and pilot sites. We describe how a combination of heuristic and formative user-centred evaluation methods were employed, and give a summary of the key findings. We discuss key insights from the evaluation, including the importance of having diverse users, the role played by users' prior expectations, and the logistical challenge of coordinating user testing across multiple sites. Finally, we explore the relative value of each of the evaluation methods, and outline how our approach to usability testing will evolve for future iterations of the MIDAS platform.

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Meaningful Integration of Data Analytics and Services in MIDAS Project: Engaging Users in the Co-Design of a Health Analytics Platform

Cited by 4 publications

References 5 publications

Meaningful Big Data Integration for a Global COVID-19 Strategy

Meaningful Big Data Integration for a Global COVID-19 Strategy

System Architecture of a European Platform for Health Policy Decision Making: MIDAS

Usability Evaluation of a Co-created Big Data Analytics Platform for Health Policy-Making

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