MIPS CMS Approved Data

**Overview**
This data package contains the Merit-Based Incentive Payments System (MIPS) Data. It also includes the Alternative Payment Models (APMs) that CMS (Centers for Medicare & Medicaid Services) operates.

**Description**
This data package contains the Merit-Based Incentive Payments System (MIPS) Data. It identifies which of those APMs CMS has determined to be advanced APMs, unless otherwise noted. The information presented in the dataset applies the Advanced APM criteria adopted in the Quality Payment Program final rule to the current design of the listed APMs. The Medicare Access and CHIP Reauthorization Act of 2015 (MACRA) streamlines a patchwork collection of programs with a single system where providers can be rewarded for better care. Providers will be able to practice as they always have, but they may receive higher Medicare payments based on their performance. The data from payers, other than Medicare, will be used for informational purposes to improve future validation efforts and will not be the only source of data used to make final determinations on whether you pass or fail an audit in the transition year.

**Benefits**
- Useful to provide merit based incentive payments system (mips) cms approved data
- alternative payment models (apm) in quality measures provide different options to physicians
- patient facing encounter codes give guidance to physician for doing proper coding
- quality measure benchmarks shows the required results.

**License Information**
The use of John Snow Labs datasets is free for personal and research purposes. For commercial use please subscribe to the [Data Library](https://www.johnsnowlabs.com/marketplace/) on John Snow Labs website. The subscription will allow you to use all John Snow Labs datasets and data packages for commercial purposes.

**Included Datasets**
- [APM in Quality Payment Program](https://www.johnsnowlabs.com/marketplace/apm-in-quality-payment-program)
- This dataset shows the Alternative Payment Models (APMs) that CMS (Centers for Medicare & Medicaid Services) operates. The dataset identifies which of those APMs CMS has determined to be advanced APMs, unless otherwise noted. The information presented in the dataset applies the Advanced APM criteria adopted in the Quality Payment Program final rule to the current design of the listed APMs.
- [MIPS Data Validation Criteria](https://www.johnsnowlabs.com/marketplace/mips-data-validation-criteria)
- This dataset includes the MIPS Data Validation Criteria. The Medicare Access and CHIP Reauthorization Act of 2015 (MACRA) streamlines a patchwork collection of programs with a single system where provider can be rewarded for better care. Providers will be able to practice as they always have, but they may receive higher Medicare payments based on their performance.
- [Patient Facing Encounter Codes](https://www.johnsnowlabs.com/marketplace/patient-facing-encounter-codes)
- CMS defines a patient-facing encounter as an instance in which a MIPS (Merit-based Incentive Payment System) eligible clinician billed for services such as general office visits, outpatient visits, and procedure codes under the Medicare Physician Fee Schedule.
- [Quality Measure Benchmarks](https://www.johnsnowlabs.com/marketplace/quality-measure-benchmarks)
- This dataset includes an overview of quality measure benchmarks, which is the result of the Medicare Access and CHIP Reauthorization Act (MACRA). The healthcare industry has been introduced to the Merit-Based Payment System (MIPS), which is expected to make changes to overall clinical quality measures. MIPS replaces the sustainable growth rate (SGR) formula by reassessing hospital and provider quality. Each benchmark is presented in terms of deciles.

**Data Engineering Overview**
**We deliver high-quality data**
- Each dataset goes through 3 levels of quality review
- 2 Manual reviews are done by domain experts
- Then, an automated set of 60+ validations enforces every datum matches metadata & defined constraints
- Data is normalized into one unified type system
- All dates, unites, codes, currencies look the same
- All null values are normalized to the same value
- All dataset and field names are SQL and Hive compliant
- Data and Metadata
- Data is available in both CSV and Apache Parquet format, optimized for high read performance on distributed Hadoop, Spark & MPP clusters
- Metadata is provided in the open Frictionless Data standard, and its every field is normalized & validated
- Data Updates
- Data updates support replace-on-update: outdated foreign keys are deprecated, not deleted

**Our data is curated and enriched by domain experts**

Each dataset is manually curated by our team of doctors, pharmacists, public health & medical billing experts:
- Field names, descriptions, and normalized values are chosen by people who actually understand their meaning
- Healthcare & life science experts add categories, search keywords, descriptions and more to each dataset
- Both manual and automated data enrichment supported for clinical codes, providers, drugs, and geo-locations
- The data is always kept up to date – even when the source requires manual effort to get updates
- Support for data subscribers is provided directly by the domain experts who curated the data sets
- Every data source’s license is manually verified to allow for royalty-free commercial use and redistribution.

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