Assess
High effort · 2–8 weeks
Data Quality & Cleansing
ABDM integration exposes existing data-quality problems. We run workshops and cleansing playbooks so demographics, duplicates, practitioner IDs and coding issues are fixed before expensive FHIR mapping is wasted on dirty masters.
Overview
What this engagement covers
ABDM integration exposes existing data-quality problems. We run workshops and cleansing playbooks so demographics, duplicates, practitioner IDs and coding issues are fixed before expensive FHIR mapping is wasted on dirty masters.
Audience
Who it’s for
- Hospitals whose linking and validation fail repeatedly
- Discovery assessments that reveal cleansing as hidden effort
- Integrators asked to “just map FHIR” on unclean data
Scope of work
What we actually do
- Demographic and identity quality gates
- Duplicate patient/encounter remediation approaches
- Practitioner and facility master hygiene
- Diagnosis/prescription coding completeness checks
- Honest commercial scoping of cleansing vs API work
Deliverables
- Data-quality workshop findings
- Cleansing playbook and priority rules
- Pre-mapping quality gate checklist
- Monitoring suggestions for recurring failure patterns
Typical effort & timeline
High effort
2–8 weeks
Maps to milestones
M1
M2