+ All Categories
Home > Science > Computing Healthcare Quality Indicators Automatically: Secondary Use of Patient Data and Semantic...

Computing Healthcare Quality Indicators Automatically: Secondary Use of Patient Data and Semantic...

Date post: 29-May-2015
Category:
Upload: kathrin-dentler
View: 161 times
Download: 0 times
Share this document with a friend
Description:
Layman's Summary of my Thesis
Popular Tags:
16
WORD CLOUD OF MY THESIS KATHRIN DENTLER VRIJE UNIVERSITEIT AMSTERDAM & ACADEMISCH MEDISCH CENTRUM UNIVERSITEIT VAN AMSTERDAM
Transcript
Page 1: Computing Healthcare Quality Indicators Automatically:  Secondary Use of Patient Data and Semantic Interoperability

W O R D C L O U D O F M Y T H E S I S

K A T H R I N D E N T L E R V R I J E U N I V E R S I T E I T A M S T E R D A M & A C A D E M I S C H M E D I S C H C E N T R U M U N I V E R S I T E I T VA N A M S T E R D A M

Page 2: Computing Healthcare Quality Indicators Automatically:  Secondary Use of Patient Data and Semantic Interoperability

W H I C H H O S P I TA L S H O U L D H E C H O O S E ?

Page 3: Computing Healthcare Quality Indicators Automatically:  Secondary Use of Patient Data and Semantic Interoperability

D O T H E S E P H Y S I C I A N S M E E T T H E H I G H E S T S TA N D A R D ?

Page 4: Computing Healthcare Quality Indicators Automatically:  Secondary Use of Patient Data and Semantic Interoperability

Q U A L I T Y I N D I C AT O R S

• Voluntary and legally mandatory

• Structure, process and outcome

• Based on evidence or consensus

Page 5: Computing Healthcare Quality Indicators Automatically:  Secondary Use of Patient Data and Semantic Interoperability

S A M P L E I N D I C AT O R ( R E P O R T I N G Y E A R : 2 0 1 3 )

% (numerator / denominator) e.g. 85% (39 / 46)

Numerator: Number of patients who had 10 or more lymph nodes examined after resection of a primary colonic carcinoma.

Denominator: Number of patients who had a resection of a primary colonic carcinoma.

Exclusion criteria: e.g. previous radiotherapy

Page 6: Computing Healthcare Quality Indicators Automatically:  Secondary Use of Patient Data and Semantic Interoperability

P R O B L E M S

• Increasing number of indicators; manually calculated => increasing workload and costs

• Varying interpretations of ambiguous natural language => doubtful results

Page 7: Computing Healthcare Quality Indicators Automatically:  Secondary Use of Patient Data and Semantic Interoperability

“ U N D E R W H I C H C O N D I T I O N S C A N H E A LT H C A R E Q U A L I T Y I N D I C AT O R S B E C O M P U T E D A U T O M AT I C A L LY ? ”

Page 8: Computing Healthcare Quality Indicators Automatically:  Secondary Use of Patient Data and Semantic Interoperability

Computing Healthcare Quality

Indicators Automatically

Secondary Use of Patient Data

and Semantic Interoperability

Kathrin Dentler

Computing H

ealthcare Quality Indicators Autom

atically

Kathrin Dentler

K A T H R I N D E N T L E R

I)

II)III)

Page 9: Computing Healthcare Quality Indicators Automatically:  Secondary Use of Patient Data and Semantic Interoperability

F O R M A L I S AT I O N M E T H O D C L I F

Numerator: Number of patients who had 10 or more lymph nodes examined after resection of a primary colonic carcinoma.

Exclusion criterion: previous radiotherapy

Page 10: Computing Healthcare Quality Indicators Automatically:  Secondary Use of Patient Data and Semantic Interoperability

‣ CLIF’s Reproducibility: 8 students formalised same indicator

‣ CLIF’s Generalisability: formalised 159 indicators and computed them based on data from the Julius General Practitioners’ Network Database

F O R M A L I S AT I O N M E T H O D C L I FPA R T I ) C O M P U T I N G H E A LT H C A R E Q U A L I T Y I N D I C A T O R S A U T O M A T I C A L LY

Page 11: Computing Healthcare Quality Indicators Automatically:  Secondary Use of Patient Data and Semantic Interoperability

S E C O N D A R Y U S E O F PAT I E N T D ATAPA R T I I )

Page 12: Computing Healthcare Quality Indicators Automatically:  Secondary Use of Patient Data and Semantic Interoperability

G I O C A : G A S T R O - I N T E S T I N A L O N C O L O G Y C E N T R E A M S T E R D A M

PA R T I I ) S E C O N D A R Y U S E O F PA T I E N T D A TA

Page 13: Computing Healthcare Quality Indicators Automatically:  Secondary Use of Patient Data and Semantic Interoperability

‣ Barriers to the secondary use of patient data

‣ Influence of data quality on indicator results, e.g. indicator results based on

- primary data (external registry): 88% (36/41)

- secondary data (hospital): 58% (31/53)

S E C O N D A R Y U S E O F PAT I E N T D ATAPA R T I I )

Page 14: Computing Healthcare Quality Indicators Automatically:  Secondary Use of Patient Data and Semantic Interoperability

E S S E N T I A L I N H E A LT H C A R E PA R T I I I ) S E M A N T I C I N T E R O P E R A B I L I T Y

Page 15: Computing Healthcare Quality Indicators Automatically:  Secondary Use of Patient Data and Semantic Interoperability

‣ Product test for reasoning engines

‣ Analysed redundant elements in SNOMED CT

S E M A N T I C I N T E R O P E R A B I L I T YPA R T I I I )

Page 16: Computing Healthcare Quality Indicators Automatically:  Secondary Use of Patient Data and Semantic Interoperability

• Automated computation of indicators is feasible, but

✓ Indicators need to be formalised

✓ Data needs to be of adequate quality, and

✓ Semantic interoperability is required

C O N C L U S I O N S


Recommended