HL7 Interface Lifecycle Management at Interconnected Health 2012
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The document discusses improving the process of HL7 integration projects from a trial and error approach to an interface lifecycle management approach. The current trial and error approach results in unpredictable timelines, costs, and risks as issues are discovered after interfaces go live. The proposed interface lifecycle management approach focuses on upfront scoping, configuration, validation, and monitoring to systematically discover and address gaps early. This evidence-based approach aims to save 30-60% of time on HL7 integration projects by reducing iterations after go-live.
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HL7 Interface Lifecycle Management at Interconnected Health 2012
- 1. Interconnected Health 2012 HL7 Integration: From Trial and Error to Predictable Project Outcomes April 2012
- 2. Agenda • HL7 is flexible • Current approach: trial & error • Proposed new approach: Interface Lifecycle Management 2 © Caristix 2012. All rights reserved.
- 3. HL7 is Flexible – No Plug & Play Deployed interface Product A HL7 GAPS: Specification WORK REQUIRED HL7 v2.2 HL7 v2.3.1 Product B HL7 v2.4 Deployed HL7 v2.5.1 HL7 v2.6 interface HL7 v2.7 3 © Caristix 2012. All rights reserved.
- 4. Gaps: A Few Examples • Z-segments • User-defined Data Sets 4 © Caristix 2012. All rights reserved.
- 5. Z-segments MSH|^~&|SPC|R|ENG|R|200609280101|43|ADT^A08|44859646|D|2.6|44859646||AL|| EVN|A08|200609280101|| PID||03777168|0001754426^^^R|9960^R17400|REGISTRATION^AMY^^||19601020|F||3|123 BOOG NK1|1|REGISTRATION^PAT|B^^|123 BOOGEY AVE^^NICECITY^MN^44444^US|(999)555-6879 NK1|2|N^A|T^^|^^^^^| PV1||O|MRIR^^^R^^^|3|||16515^SMITH^JANE^S^^^DO|^REGISTRATION^MIKE^J^^^||IMG||||1||E PV2|||||N|||200609280800||||OPR RAT|||||||||*|||||""|||||||20060928||||||^MRIBRAIN AL1|||^||| DG1|0|I9||HEADACHE||A|||||||| DG1|99|I9||HEADACHE||WORKING|||||||| GT1|1|9960|REGISTRATION^AMY^^||123 BOOGEY AVE^^NICECITY^MN^44444^US^C^25|(999)555-9 IN1|1|100|800|SELF PAY|^^^^^^C^||||||ZZHEALTH^111^||||C^^|REGISTRATION^AMY^||196010 IN2||569-33-8744|||||||||||||||||||||||||||| ACC|200609241500|3|CLEVELAND AVE/FRANKLIN UB1|1|||||||||45^15||||||05^20060924~^~^~^~^||||||| ZCA|||^^^ ZCD||N|||^NEW LIFE^|||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||| ZCE|15^SECRETARY^|""|111^ZZHEALTH^|1087 DENNISON AVE^^NICECITY^MN^43201^US^^25||||1 ZCI|1|SELF PAY, NO INSURANCE||S|N|569-33-8744|N||P||||""||||""|||||||||||||||||1 ZCV|||||FALL||PDR|0 ZCM|N|||||||||*|||||||||||||^REGISTRATION^MIKE^J 5 © Caristix 2012. All rights reserved.
- 6. User-defined Data Sets 6 © Caristix 2012. All rights reserved.
- 7. User-defined Data Sets 7 © Caristix 2012. All rights reserved.
- 8. User Defined Data Sets MSH|^~&|SPC|R|ENG|R|200609280101|43|ADT^A08|44859646|D|2.6|44859646||AL|| EVN|A08|200609280101|| PID||03777168|0001754426^^^R|9960^R17400|REGISTRATION^AMY^^||19601020|F||3|123 BOOG NK1|1|REGISTRATION^PAT|B^^|123 BOOGEY AVE^^NICECITY^MN^44444^US|(999)555-6879 NK1|2|N^A|T^^|^^^^^| PV1||O|MRIR^^^R^^^|3|||16515^SMITH^JANE^S^^^DO|^REGISTRATION^MIKE^J^^^||IMG||||1||E PV2|||||N|||200609280800||||OPR RAT|||||||||*|||||""|||||||20060928||||||^MRIBRAIN AL1|||^||| DG1|0|I9||HEADACHE||A|||||||| DG1|99|I9||HEADACHE||WORKING|||||||| HL7 v2.6 suggests “2106-3” GT1|1|9960|REGISTRATION^AMY^^||123 BOOGEY AVE^^NICECITY^MN^44444^US^C^25|(999)555-9 IN1|1|100|800|SELF PAY|^^^^^^C^||||||ZZHEALTH^111^||||C^^|REGISTRATION^AMY^||196010 IN2||569-33-8744|||||||||||||||||||||||||||| ACC|200609241500|3|CLEVELAND AVE/FRANKLIN UB1|1|||||||||45^15||||||05^20060924~^~^~^~^||||||| ZCA|||^^^ ZCD||N|||^NEW LIFE^|||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||| ZCE|15^SECRETARY^|""|111^ZZHEALTH^|1087 DENNISON AVE^^NICECITY^MN^43201^US^^25||||1 ZCI|1|SELF PAY, NO INSURANCE||S|N|569-33-8744|N||P||||""||||""|||||||||||||||||1 ZCV|||||FALL||PDR|0 ZCM|N|||||||||*|||||||||||||^REGISTRATION^MIKE^J 8 © Caristix 2012. All rights reserved.
- 9. A Few Numbers • 60% of hospitals deal with 100+ systems. • 64% of hospitals increasing HL7 integration over 12 months. • In HL7 v2.6: – 370 trigger events – >500 data elements per message – >500 suggested code sets Sources: HIMSS 2008 survey, Core Health Technologies 2011 survey. HL7 International. 9 © Caristix 2012. All rights reserved.
- 10. Current Approach Requirements based on: • Manual analysis (pipe counting) • Small data samples • Incomplete and/or outdated documentation: – Interface specifications – Ecosystem data flow 10 © Caristix 2012. All rights reserved.
- 11. Current Approach: Results • Low-fidelity, low-trust requirements: – “What is connected here?” – “Which data structures?” – “What is optional in which scenario?” – “Which data sets? From when?” – Are the semantics consistent?” © Caristix 2012. All rights reserved.
- 12. Current Approach: Results “Let’s start with a best-guess interface and fix issues when they pop up.” The Trial & Error loop starts... © Caristix 2012. All rights reserved.
- 13. Trial & Error Outcomes • Cannot predict effort, timeline and costs • Cannot evaluate risk • Continue iterating after go-live • Hard to capture and reuse issue discovery – With Colleagues – With Providers/Client teams 13 © Caristix 2012. All rights reserved.
- 14. Proposed New Approach Interface Lifecycle Management 14 © Caristix 2012. All rights reserved.
- 15. Interface Lifecycle Management • Understand gaps early • Work with real-life messages • Predictable • Focus on automation 15 © Caristix 2012. All rights reserved.
- 16. Scoping • Automate as much as possible • Analyze real life data • Compare sending vs. receiving systems • Gaps found = Tasks 16 © Caristix 2012. All rights reserved.
- 17. Configuration • Configure your integration engine – Filtering – Transformation – Mapping • Consider automation based on gaps 17 © Caristix 2012. All rights reserved.
- 18. Validation • Build reusable and repeatable test scenarios based on gaps • Automate test scenarios • Run tests in test environment • Include real life data (de-identify if needed) • Refine test scenarios 18 © Caristix 2012. All rights reserved.
- 19. Monitoring • Keep tracking any gaps that may appear • Refine scoping results, configuration and test scenarios 19 © Caristix 2012. All rights reserved.
- 20. Evidence-based Decision-making Known vs. Unknown Gaps through Interfacing Project Current Approach Proposal 100% 100% 80% 80% 60% 60% 40% 40% 20% 20% 0% 0% Kick-Off Go Live Iter 1 Iter 2 Iter 3 Iter 5 Kick-Off Iter 1 Iter 2 Iter 3 Iter 4 Iter 6 Iter 7 Iter 8 Iter 9 Iter 10 Go Live 30-60% Time Savings 20 © Caristix 2012. All rights reserved.
- 21. Contact Information Jean-Luc Morin VP R&D, Caristix jeanluc.morin@caristix.com April 2012
Hinweis der Redaktion
- Even when two hospitals are using the same version of an ADT system from the same vendor, they will most likely configure systems and interfaces differently. As a result of the many variances and adaptations of the HL7 standard, there’s no truly standard way that systems are implemented and data is handled. In response, analysts and interface engineers are forced to undertake manual, tedious work as part of implementation process.
- Is there any way around these issues? Yes. Start by treating interfacing as a lifecycle, not a one-off deliverable. Analogous to Application Lifecycle Management – Interface Lifecycle Management.7 key stages that every healthcare organization goes through when implementing interfaces. Explain each step.Today’s integration technology and engines means that it’s pretty easy to configure an interface. No issues there, but the result is that all the work and the risk gets pushed to the validation stage. That’s where issue discovery typically happens, with the result that there is little visibility at the top of the cycle. This impacts project planning, timelines, risk management. When organizations focus on the scoping effort – which I’ll be getting into later – they can move the needle on driving higher-quality integration, faster and with reduced risk around delivery and resource allocation.
- Is there any way around these issues? Yes. Start by treating interfacing as a lifecycle, not a one-off deliverable. Analogous to Application Lifecycle Management – Interface Lifecycle Management.7 key stages that every healthcare organization goes through when implementing interfaces. Explain each step.Today’s integration technology and engines means that it’s pretty easy to configure an interface. No issues there, but the result is that all the work and the risk gets pushed to the validation stage. That’s where issue discovery typically happens, with the result that there is little visibility at the top of the cycle. This impacts project planning, timelines, risk management. When organizations focus on the scoping effort – which I’ll be getting into later – they can move the needle on driving higher-quality integration, faster and with reduced risk around delivery and resource allocation.
- Automate Scope AnalysisAnalysis real life system dataGaps found = TasksConfigure IE (filters, transformers, mapping, etc)Automate Interface Validation in simulated envRepeatable and traceableInclude real scenario in test envTests based on your discoveriesMonitor – Refine discoveries/test scenariosRestart the loop
- Automate Scope AnalysisAnalysis real life system dataGaps found = TasksConfigure IE (filters, transformers, mapping, etc)Automate Interface Validation in simulated envRepeatable and traceableInclude real scenario in test envTests based on your discoveriesMonitor – Refine discoveries/test scenariosRestart the loop
- Automate Scope AnalysisAnalysis real life system dataGaps found = TasksConfigure IE (filters, transformers, mapping, etc)Automate Interface Validation in simulated envRepeatable and traceableInclude real scenario in test envTests based on your discoveriesMonitor – Refine discoveries/test scenariosRestart the loop
- Automate Scope AnalysisAnalysis real life system dataGaps found = TasksConfigure IE (filters, transformers, mapping, etc)Automate Interface Validation in simulated envRepeatable and traceableInclude real scenario in test envTests based on your discoveriesMonitor – Refine discoveries/test scenariosRestart the loop