EXEC_OUTREACH_TABLE
This table provides methods of outreach for hospital and health system executives, including email, LinkedIn and role context.
Queries that source from EXEC_OUTREACH_TABLE table
What is in the EXEC_OUTREACH_TABLE table?
Results are returned as a json, pySpark DataFrame, or pandas DataFrame (default).
feature | description | example |
---|---|---|
exec_name | Full name of the executive record | daniel giang |
hospital | Primary hospital/system associated with the executive record | loma linda university medical center |
title | Role title associated with the hospital/system executive record | vice president of graduate medical education |
department | Departmental affiliation with the role of the executive record | administrative |
exec_level | Administrative level of the executive record | vice president |
email1 | Primary email address of the hospital/system executive record | [email protected] |
email2 | Secondary email address of the hospital/system executive record | |
address | Primary address of the hospital/system executive record | 11234 anderson st |
city | City for the primary address of the hospital/system executive record | loma linda |
state | US State code for the primary address of the hospital/system executive record | CA |
zip | Zip code for the primary address of the hospital/system executive record | 92354 |
phone | Primary phone number of the hospital/system executive record | 909-558-4000 |
LinkedIn URL for the hospital/system executive record | https://www.linkedin.com/in/daniel-giang-84227085/ | |
npi | National Provider Identifier (NPI) if executive is an NPPES registered healthcare provider | 1568492635 |
org_url | Organizational website most closely associated with the executive record | llu.edu |
system_exec | Biary indicator of whether the executive is at the hospital or health system administrative level | 0 |
update_date | The last date in which the hospital executive contact details have been updated | 2023-09-01 |
Helper Function within the CareQuery API to help understand the underlying EXEC_OUTREACH_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('EXEC_OUTREACH_TABLE'))
Updated about 1 year ago