The document discusses using Neo4j to analyze connections between payments made by pharmaceutical companies to physicians and prescription patterns of opioid drugs by those physicians. It combines data from CMS Open Payments on pharmaceutical payments to doctors, Medicare Part D data on prescriptions written by doctors, and DEA data on pill distribution, to determine if payments are correlated with increased opioid prescriptions. The analysis focuses on payments and prescribing patterns from 2013 to 2015.

1. Neo4j in Healthcare
Analyzing Correlations Between
Pharma Payments to Physicians
and Prescriber Patterns

2. CMS Open Payments Demo
Neo4j Graph DB combines open source multiple datasets from
Medicaid Part D and CMS Open Payments to determine if there is a
connection between payments made by Pharma companies to
physicians and the Part D prescriptions these same physicians wrote
for Opioid class drugs.

3. 3

4. CMS Open Payments Data
https://openpaymentsdata.cms.gov/

5. Medicare Part D Prescriber Data
https://www.cms.gov/Research-Statistics-Data-and-Systems/Statistics-Trends-and-Reports/Medicare-Provider-Charge-
Data/Part-D-Prescriber.html

6. DEA ARCOS – Pill Distribution of Controlled Substances
https://www.washingtonpost.com/national/2019/07/18/how-download-use-dea-pain-pills-database/?arc404=true

7. Open Payments / DEA ARCOS Schema

8. Top Payees 2013-2015

10. Using Bloom to learn more about Dr Chun

11. Diving deeper
https://www.nytimes.com/interactive/2018/05/02/magazine/money-issue-insys-opioids-kickbacks.html

12. Dr Chun – fined by US DoJ but still practicing
https://www.justice.gov/usao-mdfl/pr/united-states-settles-false-claims-act-lawsuit-against-florida-pain-clinic-and-its

15. • CMS Open Payments Data from the Years 2013-2015
This includes information about payments made by drug manufacturers and specialty pharmacies to doctors and teaching hospitals.
The payments are for things like meals, entertainment, consulting or speaking fees, etc. Each payment is associated with a particular
drug or medical device that they are trying to market.
• Medicaid Part D Prescription Data from the Years 2013-2015
This includes aggregated data for drugs and devices, showing number of doses prescribed by a certain provider over the course of a
year.
• ARCOS FOIA Data
This data tracks the path of every opioid pain pill from manufacturer to pharmacy in the United States from 2006 through 2012.
• The NPPES NPI Provider Registry
The NPI Registry Public Search is a free directory of all active National Provider Identifier (NPI) records.
• The FDA NDC National Drug Code Directory
Drug products are identified and reported using a unique, three-segment number, called the National Drug Code (NDC), which serves
as a universal product identifier for drugs.
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Datasets