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HRB Sarah Craig
1.
QUALITY IS NOT
AN ACT: Good habits in Health Information Presentation to HIQA seminar, 1 March 2017 by Dr Sarah Craig, HRB
2.
Quality is not
an act? âQuality is not an act, it is a habitâ Aristotle
3.
Who are we? HRB
NHIS â National Health Information Systems 25 Staff 5 Systems 3 Topic areas Mental Health Disability Drugs and Alcohol
4.
Collecting data from
⌠1963
5.
HRB and HIQA Membership
of Advisory Groups Submissions on health information Piloting of Self- Assessment Tool Advisory Group on Standards
6.
HRB and HIQA HIQA Remit HRB
7.
Letâs talk about
data quality
8.
Seven dimensions of
data quality Source : HIQA Data Quality Guide
9.
Implementing data quality Source
: HIQA Data Quality Guide
10.
Implementing data quality Source
: HIQA Data Quality Guide
11.
Implementing data quality
12.
Implementing data quality
13.
Implementing data quality Whoâs
looking at data quality this week?
14.
Implementing data quality Source
: HIQA Data Quality Guide
15.
Implementing data quality
16.
Implementing data quality Source
: HIQA Data Quality Guide
17.
LINK Implementing data quality NDTRS NPIRS NASS NDRDI A
single standardised database
18.
Implementing data quality Source
: HIQA Data Quality Guide
19.
Implementing data quality Extract
from LINK training material
20.
Implementing data quality Source
: HIQA Data Quality Guide
21.
Implementing data quality LINK Real-time data
checks
22.
Implementing data quality LINK Improved data
accuracy
23.
Implementing data quality NDRDI Drug-related DeathsCoroner Coroner HIPE CSO General
Mortality Register
24.
Data Quality Audits Source
: HIQA Data Quality Guide
25.
Implementing data quality
26.
Implementing data quality Source
: HIQA Data Quality Guide
27.
Implementing data quality
28.
Implementing data quality
29.
Implementing data quality
30.
Implementing data quality
31.
Data quality â
why we do it?
32.
Data quality â
why we do it? Research ⢠Better systems ⢠Controls and audits Evidence ⢠Improved data quality ⢠Greater confidence Action ⢠Influence decision-making ⢠Better outcomes
33.
Data quality â
why we do it?
34.
Thank you. Questions?
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