Patient records, referral data, discharge summaries, waiting list files: healthcare data carries errors that affect audit outcomes, commissioner reporting, and CQC compliance. ColtraDataAi cleans it so your data is ready before it matters most.
Clinical and administrative data in healthcare comes from multiple systems, and it is rarely consistent, complete, or submission-ready.
The same patient recorded with three different date-of-birth formats, two NHS number variations, and inconsistent address entries across your EPR, referral system, and reporting extract; reconciling them manually is slow and error-prone.
Blank ICD-10 diagnosis codes, missing OPCS procedure entries, incomplete HRG groupings: gaps that look minor in a spreadsheet become rejection notices when the data reaches NHS Digital or your ICB.
Patients entered multiple times under slightly different names, with different NHS numbers or date formats: duplicates that distort episode counts, inflate activity data, and undermine the accuracy of performance reporting.
Missing referral dates, blank pathway stages, incomplete RTT status fields: errors in waiting list data produce misleading performance dashboards and expose the organisation to scrutiny during CQC visits and commissioner reviews.
From raw system extract to clean, validated healthcare records, in the time it used to take just to manually check two patient lists.
Upload extracts from any clinical or administrative system (EPR, PAS, referral management, or waiting list tools). ColtraDataAi normalises name formats, date entries, and identifier fields into one consistent, reconcilable dataset.
Blank diagnosis fields, missing procedure codes, incomplete pathway entries: surface every gap before the file reaches NHS Digital, your ICB, or clinical audit coordinators, not after a rejection or query arrives.
Generate professional PDF and Excel reports covering data quality scores, cleaning summaries, and field-level issue breakdowns, ready for governance meetings, audit submissions, and commissioner reviews without manual formatting.
Every cleaning operation is logged. When an IG query, data quality audit, or CQC inspection requires evidence of how data was handled, you have a clear, reproducible record, ready to share immediately.
Everything you need to clean, validate, and report on clinical and administrative data, in one secure, browser-based platform.
Duplicates, missing values, inconsistent identifiers: identified and resolved across patient records, referral data, and waiting list extracts.
Field-level visibility into what was wrong, what was fixed, and what gaps remain, before data reaches a national submission or commissioner report.
Governance-ready reports and clean data exports in one click, no BI tool, data analyst, or informatics ticket required.
Column-level missing value counts across the full dataset: find gaps in clinical codes, pathway fields, and patient identifiers before they cause problems.
Run a data quality check from the ward office, a clinic room, or a meeting room. Browser-based, nothing to install, works on any screen.
Clinical data processed securely and never permanently stored. GDPR-compliant and UK GDPR-aligned. Safe for patient-level and sensitive administrative records.
No integration required. Export your data as CSV or Excel and upload it directly.
Three steps. No technical expertise needed. No informatics ticket required.
Drop your patient list, referral export, or waiting list file in Excel or CSV format.
ColtraDataAi standardises, deduplicates, and flags every quality issue, automatically.
Download a clean dataset and data quality report. Submit, share, or present with confidence.
No hidden fees. Cancel anytime.
Everything you need to know before you upload your first file.
Start free, no credit card required. Upload your first patient list or clinical extract and see data quality issues surface before they reach a submission or inspection.