| HHSCyberSecurityBreaches | R Documentation |
Since October 2009 organizations in the U.S. that store data
on human health are required to report any incident that
compromises the confidentiality of 500 or more patients
/ human subjects (45 C.F.R. 164.408) These reports are publicly available. HHSCyberSecurityBreaches was downloaded from the Office for Civil Rights of the U.S. Department of Health and Human Services, 2015-02-26
data(HHSCyberSecurityBreaches)
A dataframe containing 1151 observations of 9 variables:
A character vector identifying the
organization involved in the breach.
A factor giving the two-letter abbreviation of
the US state or territory where the breach occured.
This has 52 levels for the 50 states plus the District
of Columbia (DC) and Puerto Rico (PR).
A factor giving the organization type of the
covered entity with levels "Business Associate",
"Health Plan", "Healthcare Clearing House", and
"Healthcare Provider"
An integer giving the number of humans whose
records were compromised in the breach. This is 500
or greater; U.S. law requires reports of breaches
involving 500 or more records but not of breaches
involving fewer.
Date when the breach was reported.
A factor giving one of 29 different
combinations of 7 different breach types,
separated by ", ": "Hacking/IT Incident",
"Improper Disposal", "Loss", "Other", "Theft",
"Unauthorized Access/Disclosure", and "Unknown"
A factor giving one of 47 different
combinations of 8 different location categories:
"Desktop Computer", "Electronic Medical Record",
"Email", "Laptop", "Network Server", "Other",
"Other Portable Electronic Device", "Paper/Films"
Logical = (Covered.Entity.Type ==
"Business Associate")
A character vector giving a narrative description of the incident.
This contains the breach report data downloaded 2015-02-26 from the US Health and Human Services. This catalogues reports starting 2009-10-21. Earlier downloads included a few breaches prior to 2009 when the law was enacted (inconsistently reported), and a date for breach occurrance in addition to the date of the report.
The following corrections were made to the file: * UCLA Health System, breach date 11/4/2011, had cover entity added as "Healthcare Provider" * Wyoming Department of Health, breach date 3/2/2010 had breach type changed to "Unauthorized Access / Disclosure" * Computer Program and Systems, Inc. (CPSI), breach date 3/30/2010 had breach type changed to "Unauthorized Access / Disclosure" * Aetna, breach date 7/27/2010 had breach type changed to "Improper Disposal' (see explanation below), breach date 5/24/2010 name changed to City of Charlotte, NC (Health Plan) and state changed to NC * Mercer, breach date 7/30/2010 state changed to MI * Not applicable, breach date 11/2/2011 name changed to Northridge Hospital Medical Center and state changed to CA * na, breach date 4/4/2011 name changed to Brian J Daniels DDS, Paul R Daniels DDS and state changed to AZ * NA, breach date 5/27/2011 name changed to and Spartanburg Regional Healthcare System state changed to SC * NA, breach date 7/4/2011 name changed to Yanz Dental Corporation and state changed to CA
breaches for an earlier download of these
data. The exact reporting requirements and even the number
and definitions of variables included in the
data.frame have changed.
##
## 1. mean(Individuals.Affected)
##
mean(HHSCyberSecurityBreaches$Individuals.Affected)
##
## 2. Basic Breach Types
##
tb <- as.character(HHSCyberSecurityBreaches$Type.of.Breach)
tb. <- strsplit(tb, ', ')
table(unlist(tb.))
# 8 levels, but two are the same apart from
# a trailing blank.
##
## 3. Location.of.Breached.Information
##
lb <- as.character(HHSCyberSecurityBreaches[[
'Location.of.Breached.Information']])
table(lb)
lb. <- strsplit(lb, ', ')
table(unlist(lb.))
# 8 levels
table(sapply(lb., length))
# 1 2 3 4 5 6 7 8
#1007 119 13 8 1 1 1 1
# all 8 levels together observed once
# There are 256 = 2^8 possible combinations
# of which 47 actually occur in these data.