Successfully reported this slideshow.

Hoot72 for Linked Health Data


Published on

Health care wants Linked Data, a semantic web of taxonomies and patient information that empowers patients, doctors and researchers. Hoot72, a straightforward way to break into the silo's of today, is a key step to get there.

Published in: Health & Medicine, Technology
  • Sooo, this is interesting. I have to say that without narration and without knowing this field, I don't entirely understand everything I saw; and I don't know enough to endorse any particular messaging format, e.g. HL7. But:

    1. Your equivalence examples do a *great* job of teaching the uninitiated about the issue in a single moment
    2. I know first-hand, from other industries, the nastiness ('yuck factor') of inconsistent implementations of a so-called 'standard.'

    As far as I can tell, the only pathway to success is to start by defining some task that would be useful to solve. Once you have that, people have a reason to standardize on something. Then, get started and stay agile.

    WITHOUT a task that would be useful to solve, nobody has any reason to do anything, and there's no basis for evaluating whether something works. But it's amazing how many people do it anyway.
    Are you sure you want to  Yes  No
    Your message goes here

Hoot72 for Linked Health Data

  1. 1. Hoot72 a key step for Linked Health Data
  2. 2. Apple Pie Patient Researcher Linked Health Data Doctor IT Insurance Manager E Pluribus Unum!
  3. 3. Where Are We? • Health Data in “islands”, “bunkers” • Admissions/Pharmacy/Lab ... Systems • But the Systems do chat (internally) • “Patient Arrival ...”, “Observation made ...” • A stew of HL7 v2.x messages • Billing data does leave the premises!
  4. 4. They speak v2 “HL7 version 2 is a major breakthrough and market success. More than 93% hospitals in US are using this standard” - Health Level Horizon (HLH) Project Source: Neotool, V3 vs V2
  5. 5. One “tweet” ... MSH|^~&|REGADT|MCM|IFENG||199112311501||ADT^A04^ADT_A01|000001|P|2.4||| EVN|A04|199901101500|199901101400|01||199901101410 PID|||191919^^GENHOS^MR~371-66-9256^^^USSSA^SS|253763|MASSIE^JAMES^A|| 19560129|M|||171 ZOBERLEIN^^ISHPEMING^MI^49849^""^||(900)485-5344| (900)485-5344||S^^HL70002|C^^HL70006|10199925^^^GENHOS^AN|371-66-9256|| NK1|1|MASSIE^ELLEN|SPOUSE^^HL70063|171 ZOBERLEIN^^ISHPEMING^MI^49849^""^ |(900)485-5344|(900)545-1234~(900)545-1200|EC1^FIRST EMERGENCY CONTACT^HL70131 NK1|2|MASSIE^MARYLOU|MOTHER^^HL70063|300 ZOBERLEIN^^ISHPEMING^MI^49849^""^ |(900)485-5344|(900)545-1234~(900)545-1200|EC2^SECOND EMERGENCY CONTACT^HL70131 NK1|3 NK1|4|||123 INDUSTRY WAY^^ISHPEMING^MI^49849^""^||(900)545-1200| EM^EMPLOYER^HL70131|19940605||PROGRAMMER|||ACME SOFTWARE COMPANY PV1||O|O/R||||0148^ADDISON,JAMES|0148^ADDISON,JAMES||AMB||||||| 0148^ADDISON,JAMES|S|1400|A|||||||||||||||||||GENHOS|||||199501101410| PV2||||||||199901101400|||||||||||||||||||||||||199901101400 ROL||AD|CP^^HL70443|0148^ADDISON,JAMES OBX||NM|3141-9^BODY WEIGHT^LN||62|kg|||||F James was admitted ... his wife is his emergency contact ... here’s his weight ...
  6. 6. My Nurse, My Kin “The HL7 we receive from the various sources systems can be wildly different (some are not even near to being to spec).  Additional we can receive the same data (think heart rate) from multiple systems, each which represent this differently.” -- System Implementer Next of kin is a mother ... NK1|1|MASSIE^ELLEN|MTH^Mother^HL70063||||EC1^FIRST EMERGENCY CONTACT^HL70131 Or a nurse! NK1|1|Jones^Jane^Lee^^RN|VAB^Vaccine administered by (Name)^HL70063| System-wide HL7 v2 only “suggests” - too messy for^integration!
  7. 7. Disintegrated! • Full integration costly • custom models, brittle • only stray outside when forced • (Today’s) Web veneers • for men, not machines • Another Option? ...
  8. 8. HL7 v3 - the Fix? • HL7 v3 - Object-based • End 2005, a do over, ten years in the making • Object Model (RIM), not V2-compatible • Bonus: XML goodness • Beyond Interface - Common Model • Modern systems to be “RIM-Inside” • Remake all systems
  9. 9. But ... “Frozen interface syndrome: existing HL7 message interfaces are pretty much stuck at 2.2. Meaning that application vendors don't like to change for change's sake -- there needs to be a business motivation.” -- Wes Rishel, Gartner Group • Government Mandate (UK), some green field • Just another opportunity to gateway • Just polite talk? Are we stuck?
  10. 10. Back Inside the Stew MSH|^~&||GA0000||VAERS PROCESSOR|20010331605||ORU^R01|20010422GA03|T|2.3.1|||AL| PID|||1234^^^^SR~1234-12^^^^LR~00725^^^^MR||Doe^John^Fitzgerald^JR^^^L||20001007|M|| 2106-3^White^HL70005|123 Peachtree St^APT 3B^Atlanta^GA^30210^^M^^GA067||(678) 555-1212^^PRN|ORC|CN|||||||||||1234567^Welby^Marcus^J^Jr^Dr.^MD^L|||||||||Peachtree Clinic|101 Main Street^^Atlanta^GA^38765^^O^^GA121|(404) 554-9097^^WPN|101 Main Street^^Atlanta^GA^38765^^O^^GA121|OBR|1|||^CDC VAERS-1 (FDA) Report|||20010316|OBX|1| CE|30955-9&30956-7^Vaccine type^LN|1|08^HepB-Adolescent/pediatric^CVX|OBX|2|CE| 30955-9&30957-5^Manufacturer^LN|1|MSD^Merck^MVX|OBX|3|ST|30955-9&30959-1^Lot number^LN|1|MRK12345|OBX|4|CE|30955-9&30958-3^Route^LN|1|IM^Intramuscular^HL70162| OBX|5|CE|30955-9&31034-2^Site^LN|1|LA^Left arm^ HL70163|OBX|6|NM| 30955-9&30960-9^Number of previous doses^LN|1|01I • Stuff and Codes, Codes, CODES! • Messages (v2 or v3) just “trucks” • If Codes a mess then ...
  11. 11. State of the Codes • For substances, procedures, diseases ... • Local, National, International; Care vs Billing vs ... • SNOMED CT, MeSH, ICPC, ICD-9-CM, DRG, MDC, LOINC, CPT-4, HCPCS Level II, ICD-10, HL7 Vocabulary Domains ... • Too many, unwieldy, overlapping ... • Extend, (re)structure, link
  12. 12. “In” Schemes Scope Size Grain C/E* SNOMED All 350K Varies C LOINC Labs 50K? High C NDC Drugs 11 Digits High E ICD9-CM Diseases 10K? Low*** E UMLS All** Combined Varies Varies * Composed or Enumerated ** Assumes diversity. UMLS is 143 others: “not an attempt to build a single standard biomedical vocabulary.” RxNORM is its drugs. *** “Other” is a catch-all, mandated for medicare billing
  13. 13. Focus: Coverage • Problem List to SNOMED: “SNOMED CT ... can exactly represent a large portion (92.3%) of the terms” -- Mayo Clinic • Local Lab Codes to LOINC: “Almost 19% of LOINC codes are ‘other’” -- CDC • LOINC to SNOMED: “Automatic mapping of laboratory procedures from LOINC to SNOMED CT remains incomplete and unsatisfactory” -- Mapping Issues, Olivier Bodenreider, MD, PhD
  14. 14. Elephant: Equivalence there may be several different ways to express the same concept. Human users may be able to recognise that these are essentially the same, but the rules for doing so must be made explicit to be usable by computer. -- Why is Terminology hard?, Alan Rector • Finding vs Observable • [serum_potassium_elevated_code] vs [Code: serum_potassium_code Value: elevated] • Many and one • “head injury” and “no intracranial bleed” vs “head injury without intracranial bleed” • Little/No Lexical match • “colon cancer” vs “malignant neoplasm” plus “primary site: colon” • Beyond Equivalence - kind-of • BrCA Breast Cancer, Cystic Fibrosis ... are Diseases-linked-to-Genes
  15. 15. Where’s the Ontology? • Ontology: “an implementable model of the entities that need to be understood in common in order for some group of software systems and their users to function and communicate at the level required for a set of tasks” -- Alan Rector • Code schemes slight/none: “deficiencies in the knowledge representation languages used” • Enter w3c’s OWL == Web Ontology Language • Focus on meaning referenced by codes
  16. 16. Joining their fellows
  17. 17. Joining the “Semantic Web” • Web of documents to Web of data • Reuse: HTTP, URIs • Add: Query (SPARQL), Represent (RDF), Meaning (OWL) • Silo’ed to Meaningful Linked Data
  18. 18. W3c HCLS - Power of linkage • Gap: Trial Criteria, Patients • Patients taking “Weight Loss Drugs” • Patient NDC codes: DESOXYN TABLETS (00074337701) ... • Linked by Ontologies • "may_treat" “Obese” to RxNORM • RxNORM links in NDC codes • Trial meets Patients in two steps
  19. 19. What about the Patient? OR|20010331605||ORU^R01|20010422GA03|T|2.3.1|||AL| 725^^^^MR||Doe^John^Fitzgerald^JR^^^L||20001007|M|| 2106-3^White^HL70005|123 Peachtree St^APT 3B^Atlanta^GA^30210^^M^^GA067||(678) 555-1212^^PRN||||||||||Peachtree Clinic|101 Main Street^^Atlanta^GA^38765^^O^^GA121|(404) 554-9097^^WPN|101 Main Street^^Atlanta^GA^38765^^O^^GA121| Concepts linking Shouldn’t patients join in?
  20. 20. E Pluribus Unum ... Patient Researcher Linked Health Data Codes “Link- Doctor Maker” Patients Insurance Manager
  21. 21. Avoid Temptation! • V2’s Yuck Factor - “Legacy”, “Messy” • Formalism likes its fellows • wait until V2 disappears? • mate its successors to this Web • Hold your noses. Go where the data is!
  22. 22. Enter Hoot72 • Hoot (from OWL), 72 (HL7 v2) • Mapping: message to graph assertions • pre-defined ontology small • Automatic: drive off message definitions • Presumes little so generally applicable • Creative Commons License
  23. 23. Observation (OBX) PID|||1234^^^^SR~1234-12^^^^LR~00725^^^^MR||Doe^John^Fitzgerald^JR^^^L| ... OBX|4|CE|30949-2^Vaccination adverse event outcome^LN|1|H^required hospitalization^NIP005| type Patient context personName observation observationValue familyName givenName Doe CodingSystem Code middleName Code CodingSystem John Fitzgerald LN 30949-2 H NIP005 Identifiers and Time not shown
  24. 24. A first step: Expose • A Site graph == Here’s your Hospital/Clinic • Linking to do (to code ontologies ...) • “Predicates” to interpret • Reports/views to generate • Inaccuracies to find
  25. 25. From Many, One ... • Health Care unlinked today • Linked Health Care = site graphs + interacting ontologies, linked • Hoot72, a key step.