Outline of the work Findwise is doing in the KConnect EU innovation project and how linked data is used. It includes information about the KConnect technologies (including semantic annotation and semantic search) that make medical information easier to find - whatever it's type e.g. EHRs/EMRs, medical literature, guidelines etc.

1. Research
&
Project
Manager
FINDWISE
peter.voisey@findwise.com
@Peter_G_Voisey
Researcher
&
Principal
InformaGon
Strategist
FINDWISE
/
Chalmers
&
GU
fredric.ladnqvist@findwise.com
frelan@chalmers.se
SemanGc
AnnotaGon
&
SemanGc
Search
Länkade
data
i
Sverige
2016
#LDSV

2. Advanced
search
technologies
for
medical
informaGon
www.kconnect.eu
13
European
partners:
SMEs,
UniversiGes
&
Health
AuthoriGes
EU
InnovaGon
project
to
July
2017
Be]er
use
of
medical
informaGon

3. CollaboraGon
between:
Findwise
–
Qulturum
–
Medicinkliniken
at
Eksjö
KConnect
at
Region
Jönköping

4. KConnect
–
The
Aim
• To
provide
be]er
medical
search
for
clinicians
&
researchers
in
their
daily
lives
• Increase
the
‘findability’
of
informaGon
not
normally
designed
to
be
found
• To
provide
the
most
helpful
&
up-­‐to-­‐date
informaGon
from
silos
to
support
decision-­‐
making
• To
take
advantage
of
the
untapped
hidden
textual
informaGon
within
EHRs
that
give
context
and
meaning

5. Knowledge
Base
[KB]
InformaGon
ExtracGon
[IE]
SemanGc
AnnotaGon
[SA]
SemanGc
Search
[SS]
Machine
TranslaGon
[MT]
Log
Analysis
Readability
Trustability
Medical
Records
EHRs
Medical
Publica2ons
Medical
Guidelines
Systema2c
Reviews
Radiology
Reports
Medical
Websites
Flexible
technology
stack
• 1.2
billion
medical
RDF
statements

7. RJL
use
case
architecture

8. Knowledge
Base
Annotated
texts
Search
Index
Text
processing
and
machine
reading
Search
Service
or
API
LinguisGc
processing
EHRs
Publ.
material
Research
Other
sources
Archives
Uniform
terminologies
linking
informaGon
across
silos

9. Knowledge
Base
Annotated
texts
Search
Index
Links
to
the
knowledge
base
Search
Service
or
API
LinguisGc
processing
EHRs
Publ.
material
Research
Other
sources
Archives
Find
documents
that
menGon
drugs

10. Knowledge
Base
Annotated
texts
Search
Index
Links
to
the
knowledge
base
Search
Service
or
API
LinguisGc
processing
EHRs
Publ.
material
Research
Other
sources
Archives
Find
documents
that
menGon
anG-­‐
inflammatory
drugs

11. Knowledge
Base
Annotated
texts
Search
Index
Links
to
the
knowledge
base
Search
Service
or
API
LinguisGc
processing
EHRs
Publ.
material
Research
Other
sources
Archives
Find
documents
that
menGon
drugs
used
to
treat
headaches

12. Kunskapsbas
Annotera
texter
Sökindex
Länka
text
Gll
kunskap
Söktjänst
eller
API
språklig
bearbetning
Journaler
Publ.
material
Forskning
Andra
system
Arkiv
Find
documents
that
menGon
drugs
used
to
treat
diseases
that
affect
the
kidneys

13. KConnect
at
RJL
Use
Case
&
Prototype
development

14. "I
want
to
know
what
the
right
treatment
for
a
pa2ent's
symptoms”
”I
want
to
compile
the
best
therapy
exercises
for
a
pa2ent
with
a
sore
knee
to
give
the
right
treatment"
”Be=er
knowledge
of
the
symptoms
&
discomfort
of
illnesses
Their
descrip2on
and
iden2fica2on”
"Could
these
symptoms
be
cancer?
Is
there
a
way
to
access
the
risk
of
cancer?”
“Informa2on
for
Decision
Support”
“The
treatment
basics”
"What
is
best
prac2ce?
Who
can
or
can’t
do
certain
procedures?"
”How
to
know
the
best
test(s)
for
the
specific
symptoms/condi2ons
Be=er
inves2ga2on?
-­‐
Be=er
treatment”
”I
want
to
know
how
to
care
for
a
person
aOer
surgery
to
ensure
the
right
controls
and
care
is
in
place"
Focus
groups

15. How
and
when
do
you
want
informa2on?
-­‐
When
you
meet
the
pa2ents,
before
or
aOer?
What
needs
do
you
see
for
an
IT
system?
What
is
important
to
you,
for
example:
User
friendliness?
Easy
access?
Func2onality?
Etc.?
Focus
groups

16. Many
informaGon
sources
to
answer
a
quesGon
Internetmedicin
UpToDate
Pubmed/literature
databases/Journals
PaGent’s
EHR
Other
medical/drug
informaGon
sources
NaGonal,
Regional
&
Local
guidelines
Access
Medicine
Problem
&
Ques2ons
Oxford
Textbook
of
Medicine

17. KConnect – search engine
Want to search in a patient EHR?
Journalutdrag etc.
Intagningsant.
Primärvård
What do you want help
with daily?
Decision support
Do you want to which
guideline to use?
National guidelines
Ex. FAKTA
Do want to know which the
local guidelines to use?
PM
Riktlinjer
Article 1.
Article 2.
Article 3.
Regional guidelines
Do you want to see the latest
publications or medical literature?
What or how do you want to improve?
Improve knowledge
Care methods
Examples of best practice
Hjälp/Demo
?
UpToDate

18. Key
KConnect
concepts
Smart(er)
search
Complex
queries
Finding
unusual
diagnoses
Support
for
new
/
inexperienced
doctors
Fast
searches
under
pressure
Reduce
human
error
More
Gme
with
paGent

19. KConnect
at
RJL?
• Live
paGent
E.H.R.
‘reading’
(overview
from
text
analysis)
• Further
medical
search
across
many
sources
from
a
paGent
E.H.R.
view
or
accessed
independently
• Search
either
before,
during
or
aqer
paGent
consultaGon
• As
a
search
tool
for
supporGng
medical
informaGon
-­‐
clinical
trials,
medical
studies,
treatments,
guidelines
(and
later
possibly
across
anonymised
paGent
EHRs)
• Facilitate
the
care
process
–
the
search
engine
knowledge
base
can
give
support
in
finding
the
best
diagnosis
and
treatment

20. KConnect
–
How
does
it
work?
Based on
RJL permissions
Ethics
Patient privacy/security
System & data access permissions
Collaborations!

21. KConnect
–
via
the
PaGent
EHR

25. KConnect
–
Results
Page

26. Use
Cases
Jönköping
v
KCL,
London
• Live
analysis
of
paGent
E.H.R.s
and
further
invesGgaGon
into
medical
literature,
guidelines
etc.
• To
provide
helpful
informaGon
in
decision-­‐
making
processes
• Future:
Symptoms-­‐Diagnosis
(addiGons
to
KB)
• Future:
Search
across
anonymised
EHRs
Jönköping
King’s
College,
London
&
South
Maudsley
Hospital
(NHS)
• Analysis
across
pseudo-­‐anonymised
paGent
E.H.R.s
• ExtracGon
of
paGent
types,
disease,
symptoms
etc
to
databases
• To
predict
Adverse
Drug
ReacGons
(use
of
KB
and
new
doctor
RDF
notaGon)
• To
evaluate
risk
of
suicide
in
mental
hospital
paGents
(pa]erns)

27. Visualizing the data (USFD/Prospector)

28. Occurrence
of
Keyword
“influenza”

29. Most
Searched
Diseases
by
DieGcians

30. TACK
Research
&
Project
Manager
FINDWISE
peter.voisey@findwise.com
@Peter_G_Voisey
Researcher
&
Principal
InformaGon
Strategist
FINDWISE
/
Chalmers
&
GU
fredric.ladnqvist@findwise.com
frelan@chalmers.se
h]p://kconnect.eu
h]ps://kconnectme.wordpress.com
h]ps://www.linkedin.com/groups/3745929
@KConnect_eu