BIMINAM HEALTHCARE WORKSTREAM MEETING, 04-03-2026
Date: 4 March 2026
Purpose of the session
The meeting continued the Healthcare Workstream’s effort to define practical digital handover and asset information requirements for healthcare estates, aligned with the Golden Thread and emerging regulatory expectations in the UK. The discussion focused on bridging the gap between design/construction information and operational asset management needs, particularly within complex healthcare environments.
Key themes from the transcript
1. Defining “what good looks like” for healthcare information
The workstream aims to produce clear, pragmatic information requirements that can be delivered during design and construction and then used effectively in operations.
Key objectives include:
- identifying common requirements across sectors (healthcare, education, residential)
- defining healthcare-specific needs
- aligning outputs with Golden Thread requirements and the UK Building Safety regulatory framework.
The National Hospital Programme has expressed interest in the work, indicating potential relevance at a national level.
2. Digital Golden Thread vs legacy information
A major challenge discussed was the contrast between the aspiration for fully digital information and the reality of legacy analogue documentation.
Participants emphasised that:
- PDFs and scanned documents are technically digital but not machine-readable
- true digital information must be structured and usable by automated systems
- excessive manual processing of documentation creates cost and operational risk.
The group stressed the need to prioritise machine-readable structured data that supports automation and long-term asset management.
3. Reducing information to operational essentials
A key point raised was the need to identify the minimum operational information required to manage healthcare estates effectively.
The current situation often includes:
- large volumes of irrelevant construction documentation
- incomplete or poorly structured asset information
- difficulty separating operational data from legacy construction records.
Participants argued that information requirements should focus on operational needs rather than construction deliverables, enabling automation and ongoing lifecycle management.
4. Treating missing information as a “digital defect”
A significant discussion centred on the idea that missing or incomplete asset information should be treated as a defect under contractual or regulatory frameworks.
Key implications include:
- incomplete O&M documentation could be considered a defects liability issue
- contractors may be required to correct missing digital information
- automated auditing tools could identify these “digital defects.”
This approach could fundamentally change how handover information is validated and enforced.
5. AI and automation for auditing asset information
The group reviewed examples of using AI tools to analyse O&M documentation and operational datasets, enabling:
- automated checking of handover documentation
- identification of missing or incorrect information
- rapid auditing of large document sets
- structured feedback to contractors and project teams.
Manual O&M audits that previously required weeks of expert effort can now be completed in minutes using automated workflows.
6. Using operational data to define information needs
Analysis of approximately 13,000 healthcare help-desk records demonstrated how operational data can reveal:
- the most frequent building issues
- priority asset information required for maintenance
- regulatory compliance links (e.g., HTM standards).
This evidence-based approach helps identify what information should be prioritised at handover, rather than relying solely on theoretical standards.
Key points from the chat
- GS1 standards and digital asset tagging were highlighted as important enablers for consistent asset identification and data interoperability.
- AI-driven analysis could enable clients to define clearer Levels of Information Need (LOIN) and enforce compliance through contract mechanisms such as retention release.
Overall conclusion
The session reinforced that delivering an effective Golden Thread in healthcare requires structured, machine-readable asset information that reflects what is actually installed and maintained in buildings.
The workstream is moving toward:
- defining practical operational information requirements
- treating missing asset data as a digital defect
- using AI to audit and validate handover information
- leveraging operational datasets to refine information standards.
These approaches aim to improve regulatory compliance, operational efficiency and long-term asset management across healthcare estates.