Evidence and guidance alignment

Korekar is designed to translate published medicines safety knowledge into practical, auditable prompts at the point of care. The initial focus is anticoagulant-associated bleeding risk in older adults, where reduced kidney function and multiple medicines can substantially increase harm.

Why this problem matters

  • Adverse drug reactions (harmful effects caused by medicines) contribute substantially to hospital admissions in the United Kingdom, with published evidence suggesting a significant proportion may be preventable.
  • Older adults are more vulnerable because age-related kidney function decline and multiple medicines can amplify bleeding risk, particularly when anticoagulants are prescribed.

Guidance and safety expectations we align with

  • Medicines and Healthcare products Regulatory Agency (the United Kingdom medicines regulator) safety communications on bleeding risk and vigilance when prescribing direct-acting oral anticoagulants (a modern class of anticoagulant medicines).
  • National Institute for Health and Care Excellence guidance (the United Kingdom body that publishes clinical guidance) on atrial fibrillation and bleeding risk assessment in anticoagulated patients.
  • National Health Service patient safety priorities and the wider expectation that digital health tools are built with safety and governance in mind.

Note: This website summarises the alignment approach in plain language. A fuller reference list and technical detail can be provided on request.

How Korekar supports safer decisions

Explainable prompts Clear “why flagged” reasons, designed to be reviewed and audited.
Practical calculations Supports medicine safety checks that can be difficult to do manually during short consultations.
Designed to reduce alert fatigue Context-aware prompts intended to appear only when relevant.

Safety and governance posture

  • Clinician-in-the-loop approach: Korekar is strictly advisory and does not replace clinical judgement.
  • Data approach: prototype demonstrations use synthetic inputs only (artificial data that does not identify real patients).
  • Risk management: the intent is to follow the Digital Clinical Safety standard DCB0129 (Clinical Risk Management: its Application in the Manufacture of Health Information Technology Systems) before any real-world clinical deployment.

Important notice

Prototype demonstration only. Advisory clinical decision support. Not medical advice. No patient data is collected or stored through this website. Clinicians remain responsible for all decisions.