Fourteen scored items across the data domains that decide whether a healthcare AI idea is feasible at all.
Data Readiness Assessment
14 items grouped into 5 domains. Score a real dataset — one you have, or the readmission case above. Each item is scored 0 to 3; the maximum is 42. Your answers are saved in this browser and stay there.
Educational decision-support framework — not a validated readiness score, clinical instrument or regulatory checklist. The bands below are course heuristics, not evidence-based cut-offs.
Problem definition & timing
Item 1 · Outcome definition
Is the outcome defined unambiguously and recorded consistently?
Problem definition & timing
Item 2 · Index time & windows
Is the index time defined, and does it match the moment an intervention can start?
Problem definition & timing
Item 3 · Availability at T₀
Is every candidate feature demonstrably available and visible in the system before the index time?
Data quality & provenance
Item 4 · Provenance & documentation
Is the provenance of each data element documented — who generated it, why, and under which system version?
Data quality & provenance
Item 5 · Missingness
Is missingness quantified per variable, with a stated reason for absence?
Data quality & provenance
Item 6 · Measurement consistency
Are units, reference ranges, coding systems and analyser changes reconciled across the period?
Generalisation & evaluation
Item 7 · Representativeness
Has the cohort been compared with the population the model will serve?
Generalisation & evaluation
Item 8 · Validation strategy
Is the validation strategy explicitly linked to the intended generalisation claim?
Generalisation & evaluation
Item 9 · Leakage review
Has the feature set been reviewed for target, decision and preprocessing leakage?
Generalisation & evaluation
Item 10 · Splitting integrity
Do evaluation splits preserve patient-level independence, and are they site-aware when site generalisation is claimed?
Governance & operations
Item 11 · Legal basis & privacy
Is the legal basis, consent position and de-identification approach documented and approved?
Governance & operations
Item 12 · Ownership & monitoring
Is there an owner, a monitoring plan and a stopping rule after deployment?
Interoperability & reproducibility
Item 13 · Linkage & interoperability
Can records be linked across sites and systems, and are codes mapped to a shared terminology?
Interoperability & reproducibility
Item 14 · Reproducibility & infrastructure
Can the exact dataset behind a result be rebuilt months later?
Result
0 / 42
0 of 14 items scored. Complete all items for a banded recommendation.
Problem definition & timing0 / 9
Data quality & provenance0 / 9
Generalisation & evaluation0 / 12
Governance & operations0 / 6
Interoperability & reproducibility0 / 6
Before you use this
This tool is a prompt for judgement, not a substitute for it. These short sections give you what you need to interpret the answers you get.
Provenance: this tool restates criteria taught in that module, which cites official EU legal texts, reporting guidelines and peer-reviewed literature. Educational decision aid only, not legal or clinical advice; regulatory points were checked in September 2026.