Physician Fee Schedule

**Overview**
This data package contains health indicator information about the total Medicare costs for Medicare fee-for-service beneficiaries and Locality County Crosswalk for 2017 and 2018. It also shows the Physician Fee Schedule National Payment amount and relative value units.

**Description**
This data package the total amount that Medicare paid for a particular claim, revenue center record, claim line, or service category. It also shows the GPCI components. A geographic practice cost index (GPCI) has been established for every Medicare payment locality for each of the three components of a procedure’s relative value unit. This data package also shows the conversion factors to calculate payment. Conversion formulas are for 2017 and 2018 physician fee schedule payment amount.

**Benefits**
- Useful data package for the health care provider for conversion and to calculate payments. it provides information about actual procedures costs of medicare fee-for-service beneficiaries.

**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**
- [Actual Total Costs of Medicare Fee for Service Beneficiaries](https://www.johnsnowlabs.com/marketplace/actual-total-costs-of-medicare-fee-for-service-beneficiaries)
- This dataset contains health indicator information about the total Medicare costs for Medicare fee-for-service beneficiaries. The variable used equals the total amount that Medicare paid for a particular claim, revenue center record, claim line, or service category.
- [Geographic Practice Cost Index GPCI](https://www.johnsnowlabs.com/marketplace/geographic-practice-cost-index-gpci)
- This dataset provides each Geographic Practice Cost Index (GPCI) component for each carrier/locality for 2018, 2019, 2020, 2021, 2022 and 2023. To calculate the payment for every physician’s service, more information, the components of the fee schedule (physician work and MP RVUs - Medical Physicians Relative Value Unit) are adjusted by a GPCI.
- [HAC Provider Level Measure Rates for Four Conditions](https://www.johnsnowlabs.com/marketplace/hac-provider-level-measure-rates-for-four-conditions)
- This dataset presents hospital-level measures rates of four conditions included in the Deficit Reduction Act (DRA) Hospital-Acquired Condition (HAC) payment provision – foreign object retained after surgery, blood incompatibility, air embolism, and falls and trauma – for Medicare fee-for-service discharges from October 1, 2016 through August 30, 2020.
- [Locality County Crosswalk](https://www.johnsnowlabs.com/marketplace/locality-county-crosswalk)
- This dataset shows the 2018, 2019, 2020, 2021, 2022 and 2023 Locality County Crosswalk. Data includes 52 localities in the other 16 states, with 10 states having 2 localities, 2 states having 3 localities, 1 state having 4 localities, and 3 states have 5 or more localities.
- [Medicare Economic Index MEI Anesthesia Conversion Factors](https://www.johnsnowlabs.com/marketplace/medicare-economic-index-mei-anesthesia-conversion-factors)
- This dataset contains the 2018 to 2023 Anesthesia conversion factors.
- [Outpatient Prospective Payment System OPPSCAP](https://www.johnsnowlabs.com/marketplace/outpatient-prospective-payment-system-oppscap)
- This Outpatient Prospective Payment System (OPPSCAP) dataset contains the payment amounts after the application of the OPPS based payment caps, except for carrier priced codes. For carrier priced codes, the field only contains the OPPS based payment caps. Carrier prices, however, cannot exceed the OPPS based payment caps.
- [Physician Fee Schedule National Payment Amount 2017](https://www.johnsnowlabs.com/marketplace/physician-fee-schedule-national-payment-amount-2017)
- This dataset contains information on services covered by the Medicare Physician Fee Schedule (MPFS) in 2017. For more than 10,000 physician services; the dataset contains the different carriers and locality wise payment amount with specific indicators.
- [Physician Fee Schedule National Payment Amount 2018](https://www.johnsnowlabs.com/marketplace/physician-fee-schedule-national-payment-amount-2018)
- This dataset contains information on services covered by the Medicare Physician Fee Schedule (MPFS) in 2018. For more than 10,000 physician services; the dataset contains the different carriers and locality wise payment amount with specific indicators.
- [Physician Fee Schedule National Payment Amount 2019](https://www.johnsnowlabs.com/marketplace/physician-fee-schedule-national-payment-amount-2019)
- This dataset contains information on services covered by the Medicare Physician Fee Schedule (MPFS) in 2019. For more than 10,000 physician services; the dataset contains the different carriers and locality wise payment amount with specific indicators.
- [Physician Fee Schedule National Payment Amount 2020](https://www.johnsnowlabs.com/marketplace/physician-fee-schedule-national-payment-amount-2020)
- This dataset contains information on services covered by the Medicare Physician Fee Schedule (MPFS) in 2020. For more than 10,000 physician services; the dataset contains the different carriers and locality wise payment amount with specific indicators.
- [Physician Fee Schedule National Payment Amount 2021](https://www.johnsnowlabs.com/marketplace/physician-fee-schedule-national-payment-amount-2021)
- This dataset contains information on services covered by the Medicare Physician Fee Schedule (MPFS) in 2021. For more than 10,000 physician services; the dataset contains the different carriers and locality wise payment amount with specific indicators.
- [Physician Fee Schedule Relative Value Units](https://www.johnsnowlabs.com/marketplace/physician-fee-schedule-relative-value-units)
- This dataset contains information on services covered by the Medicare Physician Fee Schedule (MPFS) in 2022. For more than 10,000 physician services; the dataset contains the associated relative value units (RVUs), a fee schedule status indicator, and various payment policy indicators needed for payment adjustment (i.e., payment of assistant at surgery, team surgery, bilateral surgery, etc.).
- [Physician Procedures Actual Medicare Costs in Dollars](https://www.johnsnowlabs.com/marketplace/physician-procedures-actual-medicare-costs-in-dollars)
- This dataset shows the indicator information about Actual procedures costs of Medicare fee-for-service beneficiaries. CMS (Centers for Medicare and Medicaid Services) collects and synthesizes Medicare enrollment, spending, and claims data to monitor and evaluate access to and quality of care, trends in utilization, changes in payment policy, and other program-related issues.

**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.

**Need Help?**
If you have questions about our products, contact us at [[e-mail]](mailto:[e-mail]).

搜集汇总

背景与挑战

背景概述

该数据集包含2017-2023年医疗保险服务受益人的实际总费用、医师费用表国家支付金额及相对价值单位等多组医疗支付相关数据，适用于医疗支付计算和研究分析。数据经过专业团队严格审核，提供标准化格式支持商业和研究用途。