Calling for Semantic Interoperability Standards That Enable Clinical Data Discovery
Penn Medicine associate vice president of health technology Brian Wells makes the case for creating standards that map rich clinical data in EHRs and other sources to large patient cohorts.
There are many promising initiatives underway that seek to combine rich clinical data from electronic health record systems running in provider sites across the county into large patient cohorts and then combine that data with genetic sequences created from samples provided by each patient in the cohort. The sponsors of these initiatives span industry, private foundations and the federal government. While the ambitious goals are commendable and the potential for discovery is worthy of the effort, there are data quality and semantic interoperability requirements that must be met prior to the combining of the clinical data.
Without these standards, consolidation and harmonization of rich clinical data will yield only a portion of the expected value. Identifying genetic determinants of disease from this large population, for instance, requires a clinical data set based on standards such that large subpopulations can be compared using common clinical vocabularies.
The standards to be addressed fall into two categories: 1) Existing, popularly used or incentivized coding systems and 2) value lists that need to be defined.
Category 1 includes coding systems such as: ICD-10 diagnosis codes (and historically ICD-9), CPT and ICD-10 procedure codes, LOINC codes for lab orders and results and RxNorm codes for drugs. The ICD and CPT coding systems have been used in EMRs and billing systems for decades. LOINC and RxNorm are relatively recent additions thanks to Meaningful Use Stage 2 incentives but given the less than 100% achievement of Stage 2 in the industry combined with large volumes of historical data that is not codified, it cannot be assumed that all lab orders and results residing in EHRs and clinical data warehouses have been associated with valid LOINC codes. Similarly with orderable drugs and RxNorm...
- Tags:
- Brian Wells
- clinical data discovery
- CPT
- data quality
- electronic health records (EHRs)
- electronic medical records (EMRs)
- genetic sequences
- ICD-10 diagnosis codes
- ICD-10 procedure codes
- ICD-9
- LOINC codes
- Meaningful Use Stage 2
- patient cohorts
- patient probabilistic matching algorithm
- Penn Medicine
- RxNorm codes
- semantic interoperability standards
- unstructured text extraction software
- Login to post comments