NHS Modelling Efforts – ISO13606 adoption and beyond Dr. Rahil Qamar Siddiqui Health and Social Care Information Centre, NHS, England.

Slides:



Advertisements
Similar presentations
HL7 Templates A means to Manage Complexity. Objectives What is an HL7 Template? What types of constraints can HL7 Templates define? What types of HL7.
Advertisements

NHS change challenge Clinical content work in the NHS Tony Shannon Consultant in Emergency Medicine, LTH Clinical Consultant, NHS CfH Travel to HL7 kindly.
Dipak Kalra, David Lloyd Health Record Information The information in a health record is inherently hierarchical –Clinical observations, reasoning and.
SNOMED CT Update Denise Downs Implementation and Education Lead.
FOUNDATION 1: CIMI REFERENCE MODEL. CIMI Reference Model - Core.
Archetypes in HL7 2.x Archetypes in HL7 Version 2.x Andrew McIntyre Medical Objects 9 th HL7 Australia Conference, 8.
CIMI Modelling Taskforce Report Dr Linda Bird 11 th April 2013.
Clinical Documents with HL7 CDA. HL7 CDA – Key messages CDA is the standard for electronic exchange of clinical documents; levels 1,2,3 are different.
CIMI Modelling Taskforce Workshop (Groningen) Dr Linda Bird 2 nd – 4 th December 2012.
Data Standards The use of data structures and OpenEHR Richard Kavanagh, Head of Data Standards, HSCIC.
C-CDA Constraints FACA - Strategy Discussion June 23, 2014 Mark Roche, MD.
1 The aim…. ‘to enable assessors to objectively assess a laboratory’s compliance with the new standards’
MOHH – Models Submission Dr Linda Bird 9 th August 2012.
CIMI Modelling Taskforce Progress Report
HSCIC Data Dictionary for Care Modelling Approach Dr. Rahil Qamar Siddiqui Health and Social Care Information Centre, NHS, England.
Introduction to openEHR
Implementing a Clinical Terminology David Crook Subset Development Project Manager SNOMED in Structured electronic Records Programme NHS Connecting for.
FHIR and Primary Care Systems; and a FHIR Query Tool Robert Worden Open Mapping Software Ltd
The Integrated Care Record Service - a Local Trusts Perspective Peter Knight Head of IM&T Winchester & Eastleigh Healthcare Trust.
ISO13606 Demographics Reference Model Revision Rahil Qamar Siddiqui (in capacity of) ISO13606 revision expert.
Promoting Excellence in Family Medicine Enabling Patients to Access Electronic Health Records Guidance for Health Professionals.
LEVERAGING THE ENTERPRISE INFORMATION ENVIRONMENT Louise Edmonds Senior Manager Information Management ACT Health.
Terminology in Health Care and Public Health Settings
Use of OCAN in Crisis Intervention Webinar October, 2014.
Dm+d User Guide Information Standards Delivery 1.
Open Data Platform Supplier Forum 13 January 2012.
Clinical Document Generic Record Standards (CDGRS) An Introduction Gurminder Khamba.
The EHR-S FIM project plans to harmonize the EHR-S FM R2
How do professional record standards support timely communication and information flows for all participants in health and social care? 1 Gurminder Khamba.
XML used for Healthcare Messaging and Electronic Health Record Communication David Markwell - Clinical Information Consultancy Andrew Hinchley - Communication.
HL7 HL7  Health Level Seven (HL7) is a non-profit organization involved in the development of international healthcare.
Profiling Metadata Specifications David Massart, EUN Budapest, Hungary – Nov. 2, 2009.
NHS CFH – Approach to Data Standards Interoperability Laura Sato Informatics Standards Lead, Data Standards & Products Chair, NHS CFH EHR Content Technical.
Toolkit for Planning an EHR-based Surveillance Program | HL7 Clinical Document Architecture An Introduction.
This material was developed by Duke University, funded by the Department of Health and Human Services, Office of the National Coordinator for Health Information.
SNOMED CT Afzal Chaudhry Renal Association Terminology Committee
Towards semantic interoperability solutions Dipak Kalra.
Metadata Models in Survey Computing Some Results of MetaNet – WG 2 METIS 2004, Geneva W. Grossmann University of Vienna.
Terminology and HL7 Dr Colin Price HL7 UK 11 th December 2003.
Clinical Document Architecture. Outline History Introduction Levels Level One Structures.
How standards for integration will enable key business objectives. Jagdip Grewal Chief Technical Architect.
PHTT 9/30/2014 Digging into SDC DRAFT Version 1. Clinical Care / EHRPublic Health Use PH Trigger Codes Record DX/Problem In EHR Asynchronous Core, “Initial”
Managing multiple client systems and building a shared interoperability vision in the Health Sector Dennis Wollersheim Health Information Management.
Archetype Modeling Language (AML) for CIMI UML for Archetypes Status update April 11, 2013.
Provider Data Migration and Patient Portability NwHIN Power Team August 28, /28/141.
EN ISO 18104:2003 Integration of a reference terminology model for nursing – Review proposal Anne Casey RN MSc FRCN Editor, Paediatric Nursing Adviser.
1 Incorporating Data Mining Applications into Clinical Guidelines Reza Sherafat Dr. Kamran Sartipi Department of Computing and Software McMaster University,
EuroRec Annual Conference 2006 EHR systems and certification Archetypes: the missing link? Dr Dipak Kalra Centre for Health Informatics and Multiprofessional.
Component 3-Terminology in Healthcare and Public Health Settings Unit 17-Clinical Vocabularies This material was developed by The University of Alabama.
This material was developed by Duke University, funded by the Department of Health and Human Services, Office of the National Coordinator for Health Information.
Using Detailed Clinical Models to bridge the gap between clinicians and HIT: ISO NIWP 191 open for voting ISO WG1, Edinburgh, 26/27 April 2009 William.
S&I PAS SWG March 20, 2012 Consolidated CDA (C-CDA) Presentation 1.
Networking and Health Information Exchange Unit 6a EHR Functional Model Standards.
Commentary: The HL7 Reference Information Model as the Basis for Interoperability George W. Beeler, Jr. Ph.D. Co-Chair, HL7 Modeling & Methodology.
Standardised and Flexible Health Data Management with an Archetype Driven EHR System (EHRflex) Anton Brass 1, David Moner 2, Claudia Hildebrand 1, Montserrat.
CDA Overview HL7 CDA IHE Meeting, February 5, 2002 Slides from Liora Alschuler, alschuler.spinosa Co-chair HL7.
CCD and CCR Executive Summary Jacob Reider, MD Medical Director, Allscripts.
Tasmanian HealthConnect Trial e-Government Seminar Carole McQueeney August 2003.
C-CDA Scorecard Rubrics Review of CDA R2.0 Smart C-CDA Scorecard Rules C. Beebe.
SNOMED CT implementation, the national picture Royal College of Paediatrics and Child Health April 14 th Presented by Ian Arrowsmith
EC TWINNING PROJECT Development of National Coding Standards within the Czech DRG System CZ2005/IB/SO/03.
Stage 1: STUDY PREPARATION 1www.ihpa.gov.au. STUDY PREPARATION OVERVIEW Steps required to prepare for the study implementation.
Networking and Health Information Exchange
WP1: D 1.3 Standards Framework Status June 25, 2015
Models & Modelling Heather Leslie Sebastian Guard Heather Grain
Terminology and HL7 Dr Colin Price
Health Information Exchange Interoperability
Electronic Health Record Access Control 7
National Clinical Terminology & Information Service Terminology Update
Session 4 Conclusions & Recommendations
Presentation transcript:

NHS Modelling Efforts – ISO13606 adoption and beyond Dr. Rahil Qamar Siddiqui Health and Social Care Information Centre, NHS, England

Background: Information Standards use in UK The Health and Social Care Act 2012 states that the following must have regard to an Information Standard published under the Act: Secretary of State for Health NHS England Public bodies involved with health services or adult social care Anyone providing publicly funded health services or adult social care commissioned by or on behalf of a public body

Information Standards development Source:

Implementing Standards The Information Standards Delivery department provides the building blocks to enable development and implementation of information standards Terminologies Read SNOMED CT dm+d Classifications OPCS-4 ICD-10 NHS Data Dictionary Data Collections Data Sets NHS Data Dictionary for Care ? Data recording/ record keeping Terminology Binding

HSCIC.GOV.UK -> Information Standards

HSCIC.GOV.UK.. With DD4C

The DD4C Process..(1)

The DD4C Process..(2) Phase 1 Existing Content SNOMED CT Subsets Data Collections NHS Messaging Specs Royal Colleges Headings Catalogue Define metadata of all content Metadata model based on ISO Harmonise ISO13606-based logical models for Royal Colleges headings ISO13606-based logical models for clinical record keeping Publish

Catalogue Metadata

Logical Models for Care..(1) The aim Provide clinically assured, quality assessed, process-driven logical representations of health care records Single reference point for all product-dependent modelling work such as NHS Data Dictionary and NHS Messaging Specifications Provide metadata for our logical models to provide valuable information about the models as well as to allow associations with other content such as SNOMED CT subsets, message templates etc Allow multiple format download of our logical models as a free public resource: ADL, UML, HTML, XML, JSON, Mindmap, Word etc.

Logical Models for Care..(2) ISO Extract Reference Model adopted Revision proposed to ISO Demographics Model (awaiting adoption) SNOMED CT used as the reference terminology for binding to clinical content Demographic and participant-related vocabulary for other content (to be decided) LinkEHR Editor used for logical modelling (pending approval) Logical Modelling Guideline document to help with consistent modelling and terminology binding (draft status)

Logical Models for Care..(3) Two level modelling process High level models (for initial discussion with health informaticians and clinicians) Logical models (technical models for discussion with health informaticians and technical modellers) Transformation process (initially manual but possible automated transformation in future?) NHS Data Dictionary models NHS Messaging Specifications (CDA, FHIR?) Other consumers (NHS as well as external) that require information models

Logical Models for Care..(4) ISO13606-based models for Royal College headings ISO13606-based models for record keeping External Reference Resources Discharge Summary Outpatient Referrals Diagnosis Blood Pressure Medications.... CIMI Models SemanticHealthNet patterns CONTSys SNOMED CT International Internal Reference Resources SNOMED CT UK Extensions Logical Record Architecture (LRA)

Example: Royal Colleges Headings

Level one: High level (discussion) models

Level one: High level Examination Finding

Level two: Logical models Bottom-up modelling approach..(1) CLINICAL STATEMENT SUB-PARTS: CLUSTER & ELEMENT Where clinical statements have a more complex structure, each of the sub-parts of a clinical statement should be modelled as independent, reusable models using the ITEM classes: CLUSTER and ELEMENT. These clinical statement sub-parts may represent both the core data describing parts of a statement and, optionally, other details the – examination method (technique and/or device used), – the patient’s physical state, – assertion status such as presence/absence, normality/abnormality indicators of the core value. When modelling a clinical statement sub-part it is appropriate to start at the CLUSTER class as the ISO Reference Model allows for nesting of CLUSTERs within CLUSTERs as well as inclusion of one or more ELEMENTs which hold the actual data

CLUSTER: Blood Pressure Measurement

CLUSTER: Blood Pressure Measurement State

Level two: Logical models Bottom-up modelling approach..(2) CLINICAL STATEMENT: ENTRY Clinical Statements in this document refer to clinical observations, requests, results, actions, plans, instructions, intentions, interpretations, reasoning etc. which may have a simple or a more complex structure. Each of the CLUSTERs represents a single, indivisible, and reusable clinical statement sub-part which are then collectively modelled in an ENTRY, which is used to record information in an EHR as a single, indivisible clinical statement. The ENTRY class also helps to provide the set of context attributes that help to facilitate the safe interpretation of the clinical statement.

ENTRY: Blood Pressure

Level two: Logical models Bottom-up modelling approach..(3) COLLECTIONS: SECTION The term Collections is used to refer to a group of clinical statements which might be viewed together under a common heading for human consumption. These collections are modelled using the CONTENT class: SECTION. Within DD4C, the SECTION class should be used only when implementation-specific requirements warrant the need for headings such as is the case with the Royal Colleges headings. NOTE: Else the CLUSTER and ENTRY models should be used to logically model the clinical content irrespective of how it is desired to be viewed by specific user communities.

SECTION: Vital Signs

SECTION: Examination Findings

Level two: Logical models Bottom-up modelling approach..(4) ORGANISERS: COMPOSITIONs and FOLDERs Collections of clinical statements could be included in high- level organiser groups to which authoring, attesting, and auditing information can be associated. These organisers help in human readability, storage, and communication rather than machine computability and semantics. COMPOSITIONs are typically used to communicate extracts of records both internally within an organisation such as Admission and Handover records, as well as records that might be communicated externally such as Discharge, Outpatients, and Referral records. Each instance of a COMPOSITION is about a single subject of care.

COMPOSITION: Outpatients

Logical Models for Care.. (5) The project started mid-November 2013 First batch of logical models to be produced by end of April 2014 – Royal College Headings 2-3 detailed headings e.g. Vital Signs, Diagnosis, Procedures – Medications (which includes Dose Syntax) Dose Syntax, LRA models, other NHS work, Reviewing Scottish work on Medications (using openEHR archetypes) Terminology Binding strategies underway. All ‘clinical’ logical models to be bound to SNOMED CT appropriately. ‘Demographic’ logical models along with participant information to be included as per requirements.

Logical Models for Care..(6) Future Aspirations! NICE - National Institute for Health and Clinical Excellence Large, open library of logical models for primary consumption within NHS and its providers Provide implementable NICE Guidelines : supported by logical models Provide a valuable resource to Standardisation Committee for Care Information (SCCI) (old ISB) to harmonise the content within the standards approved by them to have a better view of data and information flow across existing SCCI standards Provide rules for applying a combination of logical models along with the implementable NICE Guidelines and (potentially) SCCI standards mandated to arrive at decision support logic.

Thank you Questions?