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Raphael
histream
Commits
3c2a644f
Commit
3c2a644f
authored
Aug 07, 2017
by
R.W.Majeed
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documentation
parent
28488d69
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2
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2 changed files
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4 additions
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2 deletions
+4
-2
histream-core/src/main/java/de/sekmi/histream/io/GroupedXMLReader.java
.../src/main/java/de/sekmi/histream/io/GroupedXMLReader.java
+2
-2
histream-i2b2/TODO.txt
histream-i2b2/TODO.txt
+2
-0
No files found.
histream-core/src/main/java/de/sekmi/histream/io/GroupedXMLReader.java
View file @
3c2a644f
...
@@ -151,7 +151,7 @@ public class GroupedXMLReader implements ObservationSupplier {
...
@@ -151,7 +151,7 @@ public class GroupedXMLReader implements ObservationSupplier {
if
(
es
!=
null
){
if
(
es
!=
null
){
currentPatient
.
setSourceTimestamp
(
es
.
getSourceTimestamp
());
currentPatient
.
setSourceTimestamp
(
es
.
getSourceTimestamp
());
}
}
//
TODO
set patient data
// set patient data
if
(
patientData
.
containsKey
(
"birthdate"
)
){
if
(
patientData
.
containsKey
(
"birthdate"
)
){
String
dob
=
patientData
.
get
(
"birthdate"
);
String
dob
=
patientData
.
get
(
"birthdate"
);
try
{
try
{
...
@@ -182,7 +182,7 @@ public class GroupedXMLReader implements ObservationSupplier {
...
@@ -182,7 +182,7 @@ public class GroupedXMLReader implements ObservationSupplier {
if
(
patientData
.
containsKey
(
"given-name"
)
){
if
(
patientData
.
containsKey
(
"given-name"
)
){
currentPatient
.
setGivenName
(
patientData
.
get
(
"given-name"
));
currentPatient
.
setGivenName
(
patientData
.
get
(
"given-name"
));
}
}
// TODO add more data. e.g. zip code
}
}
/**
/**
...
...
histream-i2b2/TODO.txt
View file @
3c2a644f
...
@@ -4,5 +4,7 @@ These integer ids are used directly in the patient table.
...
@@ -4,5 +4,7 @@ These integer ids are used directly in the patient table.
Add flag for ignoring patient/encounter lookup: Insert facts directly into observation_fact
Add flag for ignoring patient/encounter lookup: Insert facts directly into observation_fact
Write unit test for PostgresVisitStore -> rejectPatientChange
Periodic tasks:
Periodic tasks:
- Find and remove patient/encounter rows without any corresponding facts (can occur when facts are removed)
- Find and remove patient/encounter rows without any corresponding facts (can occur when facts are removed)
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