MIPS_TABLE
This table takes the monthly updates to the CMS MIPS database, cleans, normalizes and orients their output into a concise feature set built for consumption.
Queries that source from MIPS_TABLE table
What is in the MIPS_TABLE table?
Results are returned as a json, pySpark DataFrame, or pandas DataFrame (default).
| feature | description | example |
|---|---|---|
| npi | National Provider Identifier (NPI) assigned to the individual provider | 1962493296 |
| org_pac_id | Unique group ID assigned by PECOS to the group this individual participated in | 42128548 |
| name | Individual clinician's full name | allen noorily |
| source | Method by which the clinician achieved scores (“individual”, “group”, “virtual group”, or “apm”); if the source is “apm”, this indicates that the MIPS APM scoring standard was applied for this set of scores | apm |
| quality_score | Quality performance category score | 86.13 |
| interop_score | Promoting Interoperability (PI) performance category score | 24 |
| improvement_score | Improvement Activities (IA) performance category score | 100 |
| mips_score_without_cpb | MIPS Final Score without the Complex Patient Bonus (CPB). The CPB is part of the MIPS final score based on the overall medical complexity and social risk for one’s patients treated | 93.07 |
| mips_score | Final Merit-based Incentive Payment System (MIPS) score | 100 |
| update_date | The last date in which MIPS table has been updated | 2023-01-01 |
Helper Function within the CareQuery API to help understand the underlying MIPS_TABLE dataset.
# import package
from care_query.care_query import CareQuery
# instantiate and connect
cq = CareQuery(email = "your-email",
token = "your-api-token")
# return details
print(cq.glossary.table_detail('MIPS_TABLE'))
Updated about 1 year ago