5. Indicates multiple severe or catastrophic adverse effects
High
Indicates a severe or catastrophic adverse effect
Moderate
Indicates a negligible adverse effect
Low
Very Low
Indicates a serious adverse effect
Indicates a limited adverse effect
Classify Business Risks
Risks posed by people:
Leaders and managers
System administrators
Developer
End user
Risks posed by a lack of process:
Policies
12. 21
Healthcare Cost and Utilization Project (HCUP)
Virtual Field Trip (1:57):
https://www.youtube.com/watch?v=m2xytHIm3K0
Started in 1988
Our most comprehensive source of hospital care data
Data collected from these types of encounters:
in-patient stays
ambulatory surgery and services visits
emergency department
Includes clinical and nonclinical data (diagnoses and
procedures, discharge status, patient demographics, and
charges) for all patients, regardless of payer (e.g., Medicare,
Medicaid, private insurance, uninsured)
Enables researchers, insurers, policymakers and others to study
health care delivery and patient outcomes over time
Family of databases, software tools and related products
Data is used for research on health policy issues:
cost and quality of health services
medical practice patterns
access to health care programs
outcomes of treatments at the national, State, and local market
levels.
Virtual Field Trip (20:27):
https://www.youtube.com/watch?v=n7aZLAMJDRw
13. Helpful Resources
Chapter 8: Secondary Data Sources
AHRQ Views: Watch 3 videos on this page!
https://www.ahrq.gov/news/blog/ahrqviews/health-data-
community-datapalooza.html
Review this article: Great explanation of how HCUP collects
data.
https://www.businessinsider.com/most-expensive-health-
conditions-hospital-costs-2018-2
The average hospital stay in the US costs just over $10,700,
based on an analysis of recent data from the Healthcare Cost
and Utilization Project (HCUP).
In total, there were 35.4 million hospital stays with an
aggregate cost of $384.5 billion.
HCUP Infographics!
HCUP Statistical Briefs:
https://www.hcup-us.ahrq.gov/reports/statbriefs/statbriefs.jsp
HCUP Infographics:
https://hcup-us.ahrq.gov/reports/infographics.jsp
More Helpful Resources
Healthcare Cost and Utilization Project:
U.S. Department of Health & Human Services
http://www.ahrq.gov/research/data/hcup/
https://www.hcup-us.ahrq.gov/
14. Research so that you understand
what the H-CUP program is all about!
Interactive Tutorial:
https://www.hcup-
us.ahrq.gov/HCUP_Overview/HCUP_Overview/index.html
State Information:
https://www.hcup-us.ahrq.gov/partners.jsp
Unit 6 Assignment
Healthcare Cost and Utilization Project:
U.S. Department of Health & Human Services
http://www.ahrq.gov/research/data/hcup/
** https://www.hcup-us.ahrq.gov/ **
Create a 1-page informational flyer for the Healthcare Cost and
Utilization Project.
You should use Microsoft Word or Microsoft Publisher to create
your advertisement. Include the following information:
What is the HCUP Program?
There are several different database tools used in this program.
Name at least 4 database tools and give a summary for each.
Indicate on the advertisement if your state participates in the
HCUP program. If your state does participate in the program,
provide the contact information for the person listed.
Looking Ahead: Unit 6 Assignment
National (Nationwide) Inpatient Sample (NIS):
is the largest publicly available all-payer hospital inpatient care
database in the United States. Researchers and policymakers use
15. NIS data to identify, track, and analyze trends in health care
utilization, access, charges, quality, and outcomes.
Kids' Inpatient Database (KID):
is composed of hospital inpatient stays for children and is
specifically designed to allow researchers to study a broad
range of conditions and procedures related to children's health.
Researchers and policymakers can use KID data to identify,
track, and analyze health care utilization, access, charges,
quality, and outcomes.
Nationwide Emergency Department Sample (NEDS):
captures information on emergency department (ED) visits that
do not result in an admission as well as ED visits that result in
an admission to the same hospital. The NEDS enables analyses
of ED utilization patterns and supports public health
professionals, administrators, policymakers, and clinicians in
their decision making regarding this critical source of care.
State Emergency Department Databases (SEDD):
are a set of databases that capture discharge information on all
emergency department visits that do not result in an admission.
The SEDD combined with SID discharges that originate in the
emergency department are well suited for research and policy
questions that require complete enumeration of hospital-based
emergency departments within market areas or States.