Challenge 12 of 25 · Operational
Data-Quality Problems
A very common real-world problem: ABDM integration exposes existing data-quality problems. Integrators often end up doing data cleansing plus integration — even when the client expected “only API work”.
Technical: High
Operational: Very High
Problem summary
What goes wrong in the field
A very common real-world problem: ABDM integration exposes existing data-quality problems. Integrators often end up doing data cleansing plus integration — even when the client expected “only API work”.
Specific pains integrators hit
- Missing date of birth, wrong gender or wrong mobile numbers.
- Duplicate patients and duplicate encounters in the HIMS.
- Missing doctor registration numbers and practitioner identifiers.
- Inconsistent hospital/facility names vs HFR records.
- Incorrect diagnosis text and missing clinical codes.
- Incorrect dates and incomplete prescriptions.
- Dirty masters that make FHIR validation and ABHA linking fail repeatedly.
How ABDMExpert helps
Practical responses — not slogans
- Data-quality workshops and cleansing playbooks inside Discovery assessment.
- Pre-mapping quality gates so FHIR effort is not wasted.
- Monitoring for recurring demographic and coding failure patterns.
- Honest scoping: cleansing effort called out commercially up front.