101
32 nd Annual Plenary Meeting Collaborating Toward Global Interoperability October 1, 2018

32nd Annual Plenary Meeting...We have ~150 decision support rules or modules We have picked the low hanging fruit There is a need to have 5,000+ decision support rules or modules There

  • Upload
    others

  • View
    1

  • Download
    0

Embed Size (px)

Citation preview

  • 32nd Annual Plenary Meeting

    Collaborating Toward Global Interoperability

    October 1, 2018

  • PLENARY MEETING

    HL7’s 32nd Annual Plenary MeetingOctober 1, 2018

    Collaborating Toward Global Interoperability

    8:30 – 8:45am Welcoming Comments Charles Jaffe, MD, PhD, CEO, Health Level Seven International

    8:45 – 9:30am Keynote Session 1: Update from the National Coordinator Donald Rucker, MD, Office of the National Coordinator (ONC) for Health Information Technology, U.S. Department of Health and Human Services

    9:30 – 10:15am Keynote Session 2: A Payer’s Perspective to Interoperability Sagran Moodley, Senior Vice President, UHC Clinical Data Services & Technology at UnitedHealth Group

    10:15 – 10:45am Break

    10:50 – 11:35am Keynote Session 3: What is CIMI Up to, and How Does It Fit in? Stan Huff, MD, Chief Medical Informatics Officer, Intermountain Healthcare

    11:35 – 12:20pm Keynote Session 4: Interactive 3D Visualization in the Wide Web of Health Nicholas Polys, PhD, Director of Visual Computing at Virginia Tech

    12:20 – 12:30pm Closing Comments Calvin Beebe, Chair, HL7 Board of Directors

  • HHLL77’’ss 3322nndd AAnnnnuuaall PPlleennaarryy

    Closing Comments

    8:30 – 8:45 am

    *****

    Charles Jaffe, MD, PhD CEO, HL7 International

  • HL7 Plenary Meeting Notes:

  • HHLL77’’ss 3322nndd AAnnnnuuaall PPlleennaarryy

    Keynote Session 1: Update from the

    National Coordinator

    8:45 – 9:30 am

    *****

    Donald Rucker, MD National Coordinator for Health Information Technology,

    Office of the National Coordinator for Health IT (ONC), U.S. Department of Health and Human Services

  • Dr. Don Rucker is the National Coordinator for Health Information Technology in the Office of the National Coordinator for Health IT (ONC). He came to the ONC from the Ohio State University, where he was Clinical Professor of Emergency Medicine and Biomedical Informatics and Premise Health, a worksite clinic provider, where he served as Chief Medical Officer.

    Dr. Rucker started his informatics career at Datamedic Corporation, where he co-developed the world's first Microsoft Windows based electronic medical record. He then served as Chief Medical Officer at Siemens Healthcare USA. Dr. Rucker led the team that designed the computerized provider order entry workflow that, as installed at Cincinnati Children's Hospital, won the 2003 HIMSS Nicholas Davies Award for the best hospital computer system in the US. Dr. Rucker has served terms on the Board of Commissioners of the Certification Commission for Healthcare Information Technology and Medicare's Evidence Development and Coverage Advisory Committee (MEDCAC). He has extensive policy experience representing healthcare innovations before Congress, MedPAC and HHS.

    He has practiced emergency medicine at Kaiser in California, Beth Israel Deaconess Medical Center in Boston (where he was the first full-time Emergency Department attending), the University of Pennsylvania's Penn Presbyterian and Pennsylvania Hospitals and at Ohio State University’s Wexner Medical Center.

    Dr. Rucker is a graduate of Harvard College and the University of Pennsylvania School of Medicine with board certifications in Emergency Medicine, Internal Medicine and Clinical Informatics. He holds an MS in Medical Computer Science and an MBA, both from Stanford.

    Keynote Speaker 1

    Donald Rucker, MD National Coordinator for Health Information Technology, Office of the National Coordinator for Health IT (ONC), U.S. Department of Health and Human Services

  • Slides not available for Dr. Donald Rucker’s

    presentation.

  • HL7 Plenary Meeting Notes:

  • HHLL77’’ss 3322nndd AAnnnnuuaall PPlleennaarryy

    Keynote Session 2: A Payer’s

    Perspective to Interoperability

    9:30 – 10:15 am

    *****

    Sagran Moodley Senior Vice President, UHC Clinical Data Services

    & Technology, UnitedHealth Group

  • Sagran Moodley serves as Senior Vice President of Clinical Data Services & Technology for UnitedHealthcare's Clinical Services organization. In this role, he is responsible for clinical data acquisition for all members across UnitedHealthcare's Medicare, Medicaid and Commercial lines of business. Sagran has more than 20 years leading transformative health care IT and business initiatives in both the public and private sectors. He has held multiple senior leadership roles in the private sector, including positions across UnitedHealthcare and Optum. Most recently, Sagran led teams focused on defining clinical infrastructure capabilities to enable clinical care coordination and complex case management both for Optum and United HealthCare stakeholders. Additionally, Sagran led product initiatives for Optum Government, where his portfolio included large-scale solutions supporting health care operations, data warehousing and analytics, program integrity, quality improvement, provider data management and population health for state Medicaid enterprises. In the public sector, he has worked closely with state governments to lead the promotion and adoption of the Health Information Technology for Economic and Clinical Health (HITECH) Act and many other large-scale IT implementations at the state level. Notably, Sagran assumed the technology implementation that contributed to the successful turnaround of the Massachusetts Affordable Health Care (ACA) Exchange, bringing the Commonwealth's ACA transition back on track. Previously, Sagran served as Chief Delivery Officer at Coventry Healthcare in 2009, where he led Medicaid operations in a number of states. With Coventry, his oversight included Pharmacy Benefit Management and Behavioral Health, in addition to the Medicaid Management Information System (MMIS) fiscal agent scope of services. Additionally, he held a senior IT leadership role at Allen Systems group, the largest independent software vendor at the time, where he had worldwide leadership responsibility for software engineering across North America, EMEA, APAC, and Central and South America.

    Keynote Speaker 2 Sagran Moodley Senior Vice President, UHC Clinical Data Services & Technology, United Health Group

  • Slides not available for Sagran Moodley’s

    presentation.

  • HL7 Plenary Meeting Notes:

  • HHLL77’’ss 3322nndd AAnnnnuuaall PPlleennaarryy

    Keynote Session 3: What Is CIMI Up To And

    How Does It Fit In?

    10:50 – 11:35 am

    *****

    Stan Huff, MD Chief Medical Informatics Officer,

    Intermountain Healthcare

  • Stan Huff, MD, currently serves as the Chief Medical Informatics Officer at Intermountain Healthcare. Intermountain Healthcare is a charitable not-for-profit healthcare organization in the intermountain west that includes 22 hospitals, numerous primary care and specialty clinics, and a health plans (health insurance) division. Dr. Huff is responsible for the architecture and strategy for clinical information systems. He is board certified in clinical pathology.

    Dr. Huff has been a professor (clinical) in Bioinformatics at the University Of Utah School Of Medicine since 1987, where he also currently serves as an adjunct professor of nursing. His expertise is in the following areas: medical information representation in database systems; standards for the exchange of data between medical computer systems, including HL7, Logical Observation Identifiers Names and Codes (LOINC), and SNOMED CT; as well as Electronic Medical Record architecture and design.

    Dr. Huff received his BS degree in Chemistry from Brigham Young University and a MD degree from the University of Utah. He completed a year of Internal Medicine residency training at the University of New Mexico before completing a residency in Clinical Pathology at the University of Utah. Immediately after completing his residency training, Dr. Huff worked for two years with AT&T Bell Laboratories in Columbus, Ohio. Since that then he has held various positions at Intermountain Healthcare and the University of Utah.

    Dr. Huff has been a member of HL7 since 1995 and served as the board chair from 2000-2001 and again from 2014-2015. He received the HL7 Fellowship Award in 2010. Dr. Huff also serves as the board chair for both the FHIR Foundation and the Healthcare Services Platform Consortium (HSPC). He is currently a fellow of the American College of Medical Informatics and a co-chair of the HL7 Clinical Information Modeling Initiative (CIMI) Work Group. He was also a founding member of the LOINC committee and is the current co-chair of the Clinical LOINC committee.

    Keynote Speaker 3 Stan Huff, MD Chief Medical Informatics Officer, Intermountain Healthcare

    http://intermountainhealthcare.org/Pages/home.aspx

  • What is CIMI up to, and how does it fit in?

    Stanley M. Huff, MD

    CMIO Intermountain Healthcare

    Chair of the Board HSPC

    Chair of the Board FHIR Foundation

  • Why? “To help people live the healthiest lives possible.”

  • WhyInteroperability ?

    Improve the quality and safety of careDecrease the cost of careEnable a Learning Health SystemMake providers happier and more effectiveMake patients happier and healthierThere are many more reasons…

  • Patient

    4

    *

    Medication errors are a very big problem in PICU/NICU. High acuity patients,large # of medications, they are hight alert medications and they involve complicated calculations

  • Core Assumptions

    ‘The complexity of modern medicine exceeds the inherent limitations of the unaided human mind.’~ David M. Eddy, MD, Ph.D.

    ‘... man is not perfectible. There are limits to man’s capabilities as an information processor that assure the occurrence of random errors in his activities.’~ Clement J. McDonald, MD

    5

  • We can’t keep up!We have ~150 decision support rules or

    modules

    We have picked the low hanging fruit

    There is a need to have 5,000+ decision support rules or modules

    There is no path from 150 to get to 5,000 unless we fundamentally change the ecosystem

    There is no scalable path from the leading institutions to community hospitals

    6

    The Challenge at Intermountain

  • 7

    Eileen

  • ~251,454deaths /year during inpatient admissionsBMJ May 2016

  • What is the vision for the future?

  • May 2011

    HL7 WG Meeting OrlandoFast Healthcare Interoperability

    Resources (FHIR) – (HL7 v4?)Clinical Information Modeling

    Initiative (CIMI) Improve the interoperability of

    healthcare systems through shared implementable clinical information models.

  • Heterogeneous Systems

    Others…

    11

    FHIR Profiles fromCIMI detailed clinical models

    Real Impact• Occult sepsis• Community Acquired Pneumonia• Pulmonary Embolus• ICU Glucose • Ventilator management

  • Grahame Grieve April 2011

    Our end user is someone who makes this stuff work. …

    But what is this end-user looking for? We kind of made a gambit statement that we *could* define a world in which point to point mapping wouldn't be required. I think we showed that:

    (a) that's not possible - all uses of V3 I've seen, … have use case specific processing

    (b) Users are increasingly telling us that they don't care. The price of this consistent semantics is higher than they'd pay *even if* we solved the consistent semantics problem. Instead, they want ad-hoc wire forms that are close to their domain use cases. …

    So. Is that right? Does it ring bells for anyone else?

    Am I saying that we shouldn't try for plug-and-play?

  • Grahame Today

    “We have definite goals to enable plug and play globally for some kinds of uses in some kinds of contexts -mostly infrastructure/exchange, and read-only access to summary information. But we remain true to the [previous] vision you quote when it comes to actual workflow; adaptation will always be required.”

  • Partial Interoperability

    StructureTranslators

    Standard Structure(Non-standard codes)

    Applicationand User

    Application

    Local databases,Cerner, Epic, Allscripts, etc.

  • Preferred Strategy – Full Interoperability

    Local databases,Cerner, Epic, Allscripts, etc.

    Term andStructureTranslators

    Application

    Standard StructureAND Standard Terms

    (As defined by CIMI Models)

    Applicationand User

    Requ

    irem

    ents

  • What does CIMI do?

  • data 138 mmHg

    SystolicBPSystolicBPObs

    quals

    data Right Arm

    BodyLocation

    BodyLocation

    data Sitting

    PatientPositionPatientPosition SNOMED CT

    LOINC or SNOMED Observable

    HL7 CDA

    CDISC

    HL7 FHIR Profiles

    Repository ofShared Modelsin an approved

    Formalism

    Model Review

    SNOMED CTLOINC

    RxNorm

    Core Reference Model

    Standards Infusion

    CEMs

    Initial Loading of Repository

    DCMs

    CDATemplates

    openEHRArchetypes

    ISO EN 13606Archetypes

    FHIMModels

    FHIRResources

    CIMI Logical Model Development Lifecycle

    Model Dissemination

    Translators

    HL7 V2

    NCPDP

    X12

    17

    FPAR Application

    Development

    FPARApplication

  • How does CIMI fit in?

  • HSPC/CIIC and CIMI

    Healthcare Services Platform Consortium

    Improve health by creating a vibrant, open ecosystem of interoperable applications, content, and services

    HSPC is wholly dependent on CIMI for models

    Clinical Information Interoperability Council

    Improve health by creating a vibrant, open ecosystem of interoperable applications, content, and services

    CIIC supplies detailed clinical knowledge to CIMI

  • August 2018 CIIC meeting at NLM

    Government

    AHRQCMSFDANIDDKNLMONCVA

    Clinical Societies

    ACOGAAFPACCACPACSAMAASCOSGIM

    Providers

    IntermountainBrigham

    Vendors

    Api FocalCare ProgressCognitive Evidence CareWolters KluwerIntersystemsMedical AlgorithmsNuanceOptumOraclePenRadSiemens

    Standards

    CDISCHL7Open Group

    Consultants

    Centri HealthConstableDeloitteHi3 SolutionsJP SystemsMD PartnersParexcelPerspecta

    Academic

    DukeLSUNYUU of Utah

    NGOs

    OSEHRAMitrePCPISequoia

  • HSPC/CIIC Tasks for Clinical Experts

    What data should be collected? (part of domain analysis) It will be different for different situationsSherlock Holmes, “Data! Data! Data!” he

    cried impatiently. “I can’t make bricks without clay.”

    How should the data be modelled? (CIMI)Two fields or one (the degree of pre and

    post coordination)

    What does the data mean?How do we make computable definitions

    for diabetes mellitus, myocardial infarction, heart failure, chronic renal failure, etc.

    24

  • Coordinating CIMI work at HL7

    CIMI works with HL7 Domain WGs to establish high level classes, patterns

    CIMI works with professional societies and clinical experts to define detailed model content

    CIMI works with FHIR Infrastructure to determine that the FHIR profiles created from CIMI models are technically correct

  • How do CIMI/HSPC/CIIC relate to other interoperability activities?

    Argonauts We build on the HL7 FHIR

    profiles that the Argonauts create

    Sequoia We depend on Sequoia to create

    the network, trust agreements, and data exchange infrastructure

    SMART We depend on SMART for

    integration into EHRs

    HL7 FHIR – the approved API for

    sharing patient data CIMI – provides the detailed

    information models that are essential for interoperability

    Federal Health Information Model (FHIM)

    We use FHIM classes as the pattern for CIMI models

    SOLOR SOLOR is the source of coded

    concepts used in CIMI models

    NLM Value Set Authority Center (VSAC)

    we are aligning and placing SOLOR refsets in VSAC

    SDOs (OMG, NCPDP, X12, ISO, CEN)

    We use their standards whenever possible

    Commonwell, Center for Medical Interoperability, AMA Integrated Health Model Initiative, CDEs, openEHR, OMOP (OHDSI)

    We want to work together as partners with all groups with whom we have overlapping interests

    23

  • Argonaut profiles and CIMI profiles

    Observation

    Lab Obs Patient Obs Family Hx Obs

    Titer Lab ObsQual Lab Obs

    Hematocrit Serum Glucose Urine Sodium

    FHIR Resource

    CIMI Models and Profiles

    Invariant Profile Structure – CIMI Leaf Node Content

    ObservationArgonaut profiles

    Qn Lab Obs

  • Interoperability Pyramid

    HL7 Version 2 Compliance

    HL7 FHIR Compliance

    Argonaut Compliance

    CIMI (HSPC) Compliance

    Structure, No terminology Constraints

    Structure(s), Generic LOINC

    Common resources, extensions and some specific LOINC and SNOMED

    1 Preferred structure, standard extensions, explicit LOINC and SNOMED, units, magnitude, …

  • Current and planned HSPC/CIIC projects that need CIMI models

    ACOG - OPA Family PlanningFDA – Women’s Health RegistryCancer InteroperabilityRegistries on FHIRPain AssessmentOccupational Health DataCommon Data Elements (Pew Trust)Standard laboratory test resultsMore …

  • Thank you

    [email protected]

    @HSPConsortium

    #HSPCImplementersForum

  • July 2017CIIC

    Clinical Information Interoperability Council

    Working specifically with professional organizations American College of Surgeons American College of Obstetricians and Gynecologists American College of Cardiology American Association of Family Physicians Radiology Inviting others

    American Nurses Association Internal medicine Anesthesiologists Emergency Department Etc.

    Repository ofShared Modelsin an approved

    Formalism

    Terminology and Model Review

    Repository ofShared Modelsin an approved

    Formalism

    FHIR Profiles

    Repository ofShared Modelsin an approved

    Formalism

    Knowledge Models

  • HL7 Plenary Meeting Notes:

  • HHLL77’’ss 3322nndd AAnnnnuuaall PPlleennaarryy

    Keynote Session 4: Interactive 3D

    Visualization in the Wide Web of Health

    11:35 – 12:20 pm

    *****

    Nicholas Polys, PhD Director of Visual Computer, Virginia Tech

    Research Computing Group

  • Nicholas Polys is Director of Visual Computing with Virginia Tech Research Computing Group and Affiliate Research Professor in the Department of Computer Science. He has developed interactive 3D graphics content and systems since 1997. His research interests lie at the center of graphics and Human Computer Interaction: the intersection of visualization, virtual environments, and perception. After his undergraduate research in Cognitive Science at Vassar College (1996), he jumped into the networked information space of the WWW developing audio, visual, and 3D assets and software. His doctoral work at Virginia Tech (2006) examined perceptual cues and layout behaviors for Information-Rich Virtual Environments for desktop to immersive platforms. He is a member of ACM, IEEE Computer Society, and the Web3D Consortium. He is co-author of the international standard (ISO) Extensible 3D (X3D), elected Director and President of the Web3D Consortium, and Chair of the Web3D User Interface Working Group. Professor Polys runs the Visionarium Lab at Virginia Tech where he studies the effects of displays and perception of 3D graphics. He is also the elected President of the Web3D Consortium.

    Keynote Speaker 4

    Nicholas Polys, PhD Director of Visual Computing, Virginia Tech Research Computing Group

  • Picture of me in the Hypercube

  • http://www.web3d.org/standards/all

    http://www.web3d.org/x3d/content/Basic/Web3dOutreach/Web3dTi

    melineIndex.html

    http://www.web3d.org/standards/allhttp://www.web3d.org/x3d/content/Basic/Web3dOutreach/Web3dTimelineIndex.html

  • Games and diversions are fun, but what about real 3D??? Health… safety ….

    Utilities…

    These are not silicon valley cycles ...

  • Let’s play a game:

  • Trick question! They are are relevant information in determining your health

    outcome!!!

  • CURA, LULZBOT etc

  • PIPELINE / PROCESS FIGURE

  • ● VALUE ADD OF X3D

  • J. Mann, N. Polys, R. Diana, M. Ananth, B. Herald and S. Platel, "Virginia

    tech's study hall: A virtual method of loci mnemotechnic study using a

    neurologically-based, mechanism-driven, approach to immersive learning

    research," 2017 IEEE Virtual Reality (VR), Los Angeles, CA, USA, 2017, pp.

    383-384.

    doi:10.1109/VR.2017.7892337

  • Hamza-Lup, F. G., Farrar, S., & Leon, E. (2015). Interactive X-ray and proton therapy training

    and simulation. International journal of computer assisted radiology and surgery, 10(10), 1675-

    1683.

  • Felix G. Hamza-Lup, Shane Farrar, and Erik Leon. 2015. Patient specific 3D surfaces for interactive

    medical planning and training. In Proceedings of the 20th International Conference on 3D Web

    Technology (Web3D '15). ACM, New York, NY, USA, 107-113. DOI:

    https://doi.org/10.1145/2775292.2775294

  • S. Ullrich and T. Kuhlen, "Haptic Palpation for Medical Simulation in Virtual

    Environments," in IEEE Transactions on Visualization & Computer Graphics,

    vol. 18, no. , pp. 617-625, 2012. doi:10.1109/TVCG.2012.46

    Ullrich, S., T. Kuhlen, N. F. Polys, D. Evestedt, M. Aratow, and N. W. John, "Quantizing the Void:

    Extending Web3D for Space-Filling Haptic Meshes", Medicine Meets Virtual Reality (MMVR), vol.

    163, Newport Beach CA, USA, IOS Press, pp. 670-676, February, 2011.

    N.W. John, "Design and Implementation of Medical Training Simulators", Virtual Real. 12, 4 (Dec.

    2008), 269-279.

    F.P. Vidal, N.W. John, A.E.Healey, D.A. Gould, "Simulation of Ultrasound Guided Needle Puncture

    using Patient Specific Data with 3D Textures and Volume Haptics", Computer Animation and Virtual

    Worlds. Vol. 19, Issue 2, pp111-127, May 2008, Online ISSN: 1546-427X , Print ISSN: 1546-4261,

  • Hamza-Lup, F. G., Bogdan, C. M., Popovici, D. M., & Costea, O. D. (2011). A survey of visuo-

    haptic simulation in surgical training. Proc. eLmL, 57-62.

    Hamza-Lup, F. G., & Stanescu, I. A. (2010). The haptic paradigm in education: Challenges and

    case studies. The Internet and Higher Education, 13(1-2), 78-81.

  • Polys, Nicholas F., Shapiro, Michael, Duca, Karen. (2007). “IRVE-Serve: A

    Visualization Framework for Spatially-Registered TimeSeries Data”. The Web3D

    2007 Symposium, ACM SIGGRAPH.

    Polys, Nicholas F., Bowman, D., North, C., Laubenbacher, R., Duca, K. (2004).

    “PathSim Visualizer: An Information-Rich Virtual Environment for Systems Biology”.

    Proceedings of the Web3D 2004 Symposium, ACM SIGGRAPH.

    D.A. Thorley-Lawson, V. H., K. Luzuriaga, A.S. Jarrah, R. Laubenbacher, K. Lee, N.F.

    Polys, E. Delgado-Eckert, M. Shapiro, K.A. Duca (2007). "A Virtual Look at Epstein-

    Barr Virus Infection: Biological Interpretations." PLOS Pathogens 3(10): e137.

    Shapiro, M., K. A. Duca, K. Lee, E. Delgado-Eckert, A.S. Jarrah, R. Laubenbacher,

    N.F. Polys, V. Hadinoto, D. Thorley-Lawson, (2008). "A Virtual Look at Epstein-Barr

    Virus Infection: Simulation Mechanism." Journal of Theoretical Biology 252(4): 633-

    648.

    Savin, A. V., Kikot, I. P., Mazo, M. A., & Onufriev, A. V. (2013). Two-phase stretching of

    molecular chains. Proceedings of the National Academy of Sciences, 110(8), 2816-2821.

  • Balaji, P., Feng, W. C., Archuleta, J., Lin, H., Kettimuthu, R., Thakur, R., & Ma, X. (2008,

    February). Semantics-based Distributed I/O for mpiBLAST. In Proceedings of the 13th ACM

    SIGPLAN Symposium on Principles and practice of parallel programming (pp. 293-294). ACM.

  • Peter J. Radics, Nicholas F. Polys, Shawn P. Neuman, and William H. Lund. (2015).

    “OSNAP! Introducing the open semantic network analysis platform”, Proc. SPIE 9397,

    Visualization and Data Analysis 2015, 939707 (February 8, 2015);

    doi:10.1117/12.2077834;

    Hossain, S., Akbar, M., and Polys, N. (2012). "Narratives in the Network: Interactive

    Methods for Mining Cell Signaling Networks." Journal of Computational Biology 19(9):

    1043-1059.

    Hossain, S., Akbar, M., Polys, N. (2009) “Storytelling and Clustering for Cellular

    Signaling Pathways”. Proceedings of International Conference on Information and

    Knowledge Engineering (IKE), Las Vegas, NV. 2 Volumes. CSREA Press 2009, ISBN

    1-60132-116-3

    F. Bacim, E. Ragan, S. Serbo, M. Setareh, B. D. Jones, N. Polys. (2013). “The

    Effects of Display Fidelity, Visual Complexity, and Task Scope on Spatial

    Understanding of 3D Graphs.” Proceedings of Graphics Interface, Regina, 2013.

    ISBN: 9781482216806.

    Henry, James A.G. and Polys, Nicholas. (2010). “The Effects of Immersion and

    Navigation on the Acquisition of Spatial Knowledge of Abstract Data Networks”.

    Proceedings of the International Conference on Computational Science. Proceedia

  • Computer Science, Volume 1, Issue 1, pp. 1737-1746, Elsevier.

  • https://www.nature.com/articles/s41746-018-0026-4.pdf -

    Economic analysis of implementing virtual reality therapy for pain among hospitalized

    patients

    http://www.mobihealthnews.com/content/depth-therapeutic-vr-2018-no-longer-just-

    distraction-therapy?

    http://www.mobihealthnews.com/content/15-health-and-wellness-use-cases-virtual-

    reality

    https://scholar.google.com/scholar?hl=en&as_sdt=0%2C47&q=ptsd+and+Vr&btnG=

    “What happened there?”

    https://www.nature.com/articles/s41746-018-0026-4.pdfhttp://www.mobihealthnews.com/content/depth-therapeutic-vr-2018-no-longer-just-distraction-therapyhttp://www.mobihealthnews.com/content/15-health-and-wellness-use-cases-virtual-realityhttps://scholar.google.com/scholar?hl=en&as_sdt=0,47&q=ptsd+and+Vr&btnG=

  • Polys, N. and A. Wood (2012). "New Platforms for Health Hypermedia." Issues in

    Information Systems 13(1): 40-50.

    N.W. John, M. Aratow, J. Couch, D. Evestedt, A.D. Hudson, N. Polys, R.F. Puk, A.

    Ray, K. Victor, Q. Wang. (2008). “MedX3D: Standards Enabled Desktop Medical 3D.“

    Medicine Meets VR (MMVR).

  • Marquart, G. D., Tabor, K. M., Horstick, E. J., Brown, M., Geoca, A. K., Polys, N. F.,

    ... & Burgess, H. A. (2017). “High precision registration between zebrafish brain

    atlases using symmetric diffeomorphic normalization”. GigaScience 6 (8).

  • Ander Arbelaiz, Aitor Moreno, Luis Kabongo, Nicholas Polys and Alejandro GarcÌa-

    Alonso (2017). “Community-driven Extensions to the X3D Volume Rendering

    Component”. In Proceedings of the 22nd International Conference on 3D Web

    Technology (Web3D '17). ACM, New York, NY, USA.

    Polys, N. and Gurjarpadhye, A. (2016). “Tradeoffs in Multi-Channel Microscopy

    Volume Visualization: An Initial Evaluation”. In Proceedings of the 21th International

    Conference on 3D Web Technology (Web3D '16). ACM, New York, NY, USA.

  • HL7 Plenary Meeting Notes:

  • HHLL77’’ss 3322nndd AAnnnnuuaall PPlleennaarryy

    Closing Comments

    12:00 – 12:30 pm

    *****

    Calvin Beebe Board Chair, HL7 International

  • HL7 Plenary Meeting Notes:

  • Plenary Cover 2018 Jaffe.pdfHL7’s 32nd Annual Plenary

    Plenary Cover 2018 Rucker.pdfHL7’s 32nd Annual Plenary

    Rucker Sheet.pdfKeynote Speaker 1Donald Rucker, MDNational Coordinator for Health Information Technology, Office of the National Coordinator for Health IT (ONC), U.S. Department of Health and Human Services

    Moodley Cover.pdfHL7’s 32nd Annual Plenary

    Moodley Sheet.pdfKeynote Speaker 2Sagran Moodley

    Plenary Cover 2018 Huff.pdfHL7’s 32nd Annual Plenary

    Huff Sheet.pdfStan Huff, MD, currently serves as the Chief Medical Informatics Officer at Intermountain Healthcare. Intermountain Healthcare is a charitable not-for-profit healthcare organization in the intermountain west that includes 22 hospitals, numerous primar...Dr. Huff has been a professor (clinical) in Bioinformatics at the University Of Utah School Of Medicine since 1987, where he also currently serves as an adjunct professor of nursing. His expertise is in the following areas: medical information represe...Keynote Speaker 3Stan Huff, MD

    Plenary Cover 2018 Polys.pdfHL7’s 32nd Annual Plenary

    Polys Sheet.pdfKeynote Speaker 4Nicholas Polys, PhD

    Beebe Cover.pdfHL7’s 32nd Annual Plenary

    Stan Huff 2018 Plenary Presentation Slides.pdfWhat is CIMI up to, and how does it fit in?Why?Why�Interoperability ?Slide Number 4Core AssumptionsWe can’t keep up!Eileen~251,454�deaths /year during inpatient admissions�BMJ May 2016What is the vision for the future?May 2011Slide Number 11Grahame Grieve April 2011Grahame TodayPartial InteroperabilityPreferred Strategy – Full InteroperabilityWhat does CIMI do?Slide Number 17How does CIMI fit in?HSPC/CIIC and CIMIAugust 2018 CIIC meeting at NLMHSPC/CIIC Tasks for Clinical ExpertsCoordinating CIMI work at HL7How do CIMI/HSPC/CIIC relate to other interoperability activities?Argonaut profiles and CIMI profilesInteroperability PyramidCurrent and planned HSPC/CIIC projects that need CIMI modelsThank youJuly 2017�CIIC