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Data Governance Playbook
  • Health data governance: a playbook for non-technical leaders
    • Why data governance is important in healthcare
    • Who is this playbook for?
    • How to use this playbook
    • Other related resources
  • Index
  • Play one: Implementing data governance in healthcare
    • The value of data governance for data-informed healthcare projects
    • How to implement a data governance framework for a healthcare organisation or project
      • 1. Data assets
      • 2. People
      • 3. Policies and processes
      • 4. Standards and technologies
    • Resources relating to this play
  • Play two: Understanding and mapping health data ecosystems
    • Data ecosystems in healthcare
    • Data governance and trustworthy data ecosystems
    • Mapping the data ecosystem
      • Use case 1: Mapping the ecosystem of a Covid-19 symptom tracker in the UK
      • Use case 2: Identifying current stakeholders to reduce snakebite mortality and morbidity in India
    • Resources related to this play
  • Play three: Roles and responsibilities in health data governance
    • Roles involved in health data governance
      • Senior data leader
      • Health system leader
      • Policy leader
      • Health project partner
      • Governmental body
      • Senior executive leader
    • How to enlist support from stakeholders
    • Resources relating to this play
  • Play four: Making data interoperable
    • What is interoperability and how is it relevant to healthcare?
    • Standards for data and interoperability
    • Existing standards for data
    • Data adaptors
    • When to use an adaptor
    • Resources relating to this play
  • Play five: Demonstrating the value of health data governance: case studies
    • Primary care data use: MedMij platform
    • Using research data: INSIGHT Health Data Research Hub
    • Using healthcare data for other purposes: Infectious Diseases Data Observatory
  • Play six: Emerging uses of data and technology in the health sector
    • Emerging uses of health data
    • Emerging technologies to support health data management
    • Resources relating to this play
  • Play seven: Assessing the legal, regulatory and policy context for sharing health data
    • Data protection laws and policies
    • Intellectual property
    • Other regulations and laws impacting use of health data
    • Socio-cultural norms
    • Resources relating to this play
  • Play eight: Managing risks when handling personal data
    • Managing personal data responsibly and ethically in healthcare projects
    • What is personal data?
    • Data protection regulations
    • Recognising personal data in healthcare projects
    • Impacts from use of healthcare data
    • Minimising risk - practical approaches
    • Appendix: Risks from personal data exposure and how harms can be mitigated
  • Play nine: How to set up successful data sharing partnerships
    • Understanding how data sharing occurs in the health sector
    • A step-by-step guide to setting up successful data sharing partnerships
      • Step 1. Understand the purpose of sharing data, and with whom
      • Step 2. Define the principles that will guide how data is shared
      • Step 3. Build and maintain relationships with your data sharing partners
    • Appendix: International frameworks for data sharing principles
    • Resources relating to this play
  • Play ten: Sharing health data: data agreements and technologies
    • Common types of data sharing agreements
    • How to choose the best method of sharing data
      • Step 1: Decide how widely you need or want to share data
      • Step 2: Decide on the type of agreement required for sharing data
      • Step 3. Consider how technology can facilitate data sharing and access
    • Appendix: Choosing technology to support data sharing and access
    • Resources relating to this play
  • Play eleven: Cross-border data sharing
    • What is cross-border data sharing?
    • Current trends and global discussions on cross-border data sharing
    • Overcoming challenges with cross-border data sharing
  • How to support trustworthy data sharing: Checklist
  • Slides to communicate the benefits of data governance to key health stakeholders
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  • Enabling secondary use of data
  • Improving outcomes using patients’ data
  • What can we learn from this case study?

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  1. Play five: Demonstrating the value of health data governance: case studies

Using healthcare data for other purposes: Infectious Diseases Data Observatory

PreviousUsing research data: INSIGHT Health Data Research HubNextPlay six: Emerging uses of data and technology in the health sector

Last updated 3 years ago

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Key findings

  • Greater collaboration across research institutions in sharing data and crediting sources in international studies.

  • Increased use of data to define new therapeutic guidelines that improve treatment of patients with rare diseases.

Enabling secondary use of data

When data collected for healthcare is used for anything other than the primary healthcare event at which it was collected, it is defined as a secondary use. Secondary (or ‘further’) use of health data is defined in Europe under the General Data Protection Regulation as uses that are compatible with the primary purpose, but that were not explicitly stated at the time of data collection. Other jurisdictions may define secondary use in other ways, and even in Europe, individual countries are defining secondary use of health data more explicitly to refer to data collected from a specific range of sources that aid health decision-making and interventions.

Improving outcomes using patients’ data

The (IDDO) is a coalition of the global infectious disease and emerging infections communities. It aims to enable the sharing of individual patient data from observational studies, health records and clinical trials; making it available for use by researchers, healthcare providers and public health agencies. To ensure secondary use of data for better healthcare outcomes, IDDO has in place the following data governance processes:

  • Visual schematic describing IDDO's .

  • Terms of Submission that data providers must agree to meet in order to demonstrate local consent for sharing and accessing data.

  • and registrations to access assessed by a .

  • .

A digital platform is created for each disease area for which IDDO collects data. Creative Commons licences are used to enable data sharing.

What can we learn from this case study?

To demonstrate trustworthiness in the healthcare ecosystem, for each disease area platform, a full list of all ecosystem stakeholders who are granted access to datasets is listed.

IDDO is communicating the benefits of data use to improve data sharing. A are made to demonstrate how the data is used to advance health outcomes. For example, .

Infectious Diseases Data Observatory
data access journey
Data access guidelines
Data Access Committee
Privacy Impact Assessments
regular series of news announcements
pooled research has enabled new therapeutic guidelines to be developed for rare tropical diseases