Example HL7 Message

Example of sending a text message with attachment:

MSH|^~\&|OSCAR|Default Facility|||20100629110929||ORU^R01^ORU_R01|||2.6
SFT|OSCARMcMaster|${env.JOB_NAME}-${env.BUILD_NUMBER}|OSCAR|2010/06/29 10:53, branch : trunk
PID|1||12345||lname^fname^^^^^L||20100603|M|||^^^^^^H
OBR||||1529718969820
NTE|||c29tZSB0ZXh0IGRhdGENCmZvciB0ZXN0aW5n|^my data name^textData.txt
NTE|||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|^my data name^smile.jpg
ROL||unused|SENDER|999998^oscardoc^doctor|||||||^^^^^^O
ROL||unused|RECEIVER|^test 4^test 4|||||||address of the test specialise^^^^^^O|^^^^^^^^^^^123484858

This is the result message:

oscar_to_oscar_example_edata_results.jpg

 

 

Example of making a referral:

 

MSH|^~\&|OSCAR|Default Facility|||20100629112229||REF^I12^REF_I12|||2.6
SFT|OSCARMcMaster|${env.JOB_NAME}-${env.BUILD_NUMBER}|OSCAR|2010/06/29 10:53, branch : trunk
RF1||||||41|20100629000000
PRD|RP^Referring Provider|oscardoc^doctor|^^^^^^O||||999998
PRD|RT^Referred to Provider|test 4^test 4|address of the test specialise^^^^^^O||^^^^^^^^^^^123484858||15
PID|1||333444555666^^^^^^^^BC||LNAME^FNAME^^^^^L||19500203|M|||111 my street^^my_city^BC^A1A2B2^^H||^^^^^^^^^^^604-111-1112
PV1||N
NTE|||dGhpcyBpcyB0aGUgdGV4dCBpbiB0aGUgcmVhc29uDQpmb3IgY29uc3VsdGF0aW9uIA0KYm94|^REASON_FOR_CONSULTATION
NTE|||dGhpcyBpcyB0aGUgdGV4dCANCmluIHRoZSBwZXJ0aW5lbnQgY2xpbmljYWwgaW5mb3JtYXRpb24gYm94|^CLINICAL_INFORMATION
NTE|||dGhpcyBpcyB0aGUgdGV4dCBpbiB0aGUgc2lnbmlmaWNhbnQNCmNvbmN1cnJlbnQgcHJvYmxlbXMgYm94|^CONCURRENT_PROBLEMS
NTE|||aGVyZSBpcyB0aGUgdGV4dCBmb3IgDQp0aGUgY3VycmVudCBtZWRpY2F0aW9ucyBib3g=|^CURRENT_MEDICATIONS
NTE|||dGhpcyBpcyB0aGUgdGV4dCBpbiB0aGUgYWxsZXJnaWVzIGJveA==|^ALLERGIES

This is the result:

oscar_to_oscar_example_ereferral_results.jpg

 

 The keys used in this example:

----------------
oscar public key
----------------
MIGfMA0GCSqGSIb3DQEBAQUAA4GNADCBiQKBgQCL6aAfMVnyCyrYLhXrWyEtUWD4xcv/ZzmbJhPyzs+Za0I9WdihLETmbTytIMblel4wXBjC8wwUc6CfRgsv0YsXaquw5yhdbbAECjQ1TMEbvFyDVrtWxE8O2ujdmRTPLcwdmRLT/uuGXS1F2Oo/WXaWy1TFd3wb0sneIY6/BentKwIDAQAB

-----------------
oscar private key
-----------------
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

------------
service name
------------
server2

------------
service type
------------
OSCAR_TO_OSCAR_HL7_V2

------------------
service public key
------------------
MIGfMA0GCSqGSIb3DQEBAQUAA4GNADCBiQKBgQCwwW0TgnJyrDNstZaKkabeaphRQ/BRwYZRVw2EpABQnG5KpzkHVWo7hegzCyVo/UFT861oO5ed2W2h0b3HmmZteqbAm4xxkT0xUMVyAQSOxMeucGWfsbEQt1xZ8BK/FWphFcAa4qwBVeImYtymfWN++hcl+3cghpSSwy9eQlFOawIDAQAB

-------------------
service private key
-------------------
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