19
Sowerby Centre for Health Informatics at Newcastle Progress on Virtual Medical Record HL7 Salt Lake City

Progress on Virtual Medical Record

Embed Size (px)

DESCRIPTION

Progress on Virtual Medical Record. HL7 Salt Lake City. Requirements. Medical record communication From existing EHR to DSS From DSS to EHR E.g. decisions, goals, inferred observations Computer understandable record Semantic interoperability - PowerPoint PPT Presentation

Citation preview

Page 1: Progress on Virtual Medical Record

©2001 Sowerby Centre for Health Informatics at Newcastle

Progress on Virtual Medical Record

HL7 Salt Lake City

Page 2: Progress on Virtual Medical Record

©2001 Sowerby Centre for Health Informatics at Newcastle

Requirements

• Medical record communication• From existing EHR to DSS• From DSS to EHR

• E.g. decisions, goals, inferred observations

• Computer understandable record• Semantic interoperability

• Same problems as EHR system to EHR system communication

Page 3: Progress on Virtual Medical Record

©2001 Sowerby Centre for Health Informatics at Newcastle

EHR DSS communication

• Guideline system EHR : queries• Guideline system EHR : query results• Guideline system Clinical system : act

requests• Guideline system EHR : data recording• Guideline system EHR : decision recording• Guideline system EHR : assessment

recording• Guideline system EHR : goal recording

Page 4: Progress on Virtual Medical Record

©2001 Sowerby Centre for Health Informatics at Newcastle

virtual Medical Record (vMR)

• Required to represent standardised view of EHR for • a – standard names in expressions, result

sets• b – writing new records to the EHR

EHR Guideline Interpreter

User Interface

1a

1b

Page 5: Progress on Virtual Medical Record

©2001 Sowerby Centre for Health Informatics at Newcastle

What is it?

• Simplification of medical record• only has distinctions important to DSS

• Aim is to find the minimal set of record types & attributes required to achieve semantic interoperability

• Expression language has to be able to write criteria using these

Page 6: Progress on Virtual Medical Record

©2001 Sowerby Centre for Health Informatics at Newcastle

Five Basic Classes

• Observation• Intervention• Goal• Plan• Commitment

• + Patient, Guideline, Agent (Care Provider, DSS)

Page 7: Progress on Virtual Medical Record

©2001 Sowerby Centre for Health Informatics at Newcastle

Attributes: All Classes

• Patient (instance of Patient)• Care providers• Coded concept• Recording agent• Recording time• Where• (n.b. no encounter class)

Page 8: Progress on Virtual Medical Record

©2001 Sowerby Centre for Health Informatics at Newcastle

Observation kinds

• Quantitative Observation • e.g. Height 1.56m

• Qualitative Observation• e.g. ‘nocturnal cough’

• Assessment• e.g. ‘diagnosis Gestational Diabetes’

• Extra attributes• Duration of observation

Page 9: Progress on Virtual Medical Record

©2001 Sowerby Centre for Health Informatics at Newcastle

Qualitative Observation

• Subjective • ‘Primary’ observations, not inferred• e.g. symptoms, signs

Page 10: Progress on Virtual Medical Record

©2001 Sowerby Centre for Health Informatics at Newcastle

Quantitative Observations

• Objective measurements• Additional attribute ‘observed

quantity’• Has quantity and units of measure

• e.g. height, weight, hemoglobin

Page 11: Progress on Virtual Medical Record

©2001 Sowerby Centre for Health Informatics at Newcastle

Observation questions

• Inferred flag• e.g. BMI calculated from weight and height• Use instead of Assessment? e.g. a diagnosis is an

observation inferred by clinician

• ‘Consequence of’ relationship• To tie observations to the intervention which

generated them. Is this necessary for DSS?• e.g. potassium level as result of Chem 7• !!! Implies Causality – should we represent this?

• Do we need observation subtypes?

Page 12: Progress on Virtual Medical Record

©2001 Sowerby Centre for Health Informatics at Newcastle

• Uncertain list of types• Extra attributes

• ???Reason – obs that cause this intervention• Valid time

• These are ‘done’ interventions• Medication Authorisation

• Dose/admin/quantity & ingred/product/pack CMETS

• Investigation |• Procedure | • Education• … Schedule appointment + others

Intervention

is this a useful distinction?

Page 13: Progress on Virtual Medical Record

©2001 Sowerby Centre for Health Informatics at Newcastle

Goal, Plan, Commitment

• Important for guideline execution and history of guideline use

• Extra attribute: context• Context = the guideline they came

from• Expression language has to be

able to write criteria using these.

Page 14: Progress on Virtual Medical Record

©2001 Sowerby Centre for Health Informatics at Newcastle

Goal

• A (future) observation you wish to achieve, maintain, avoid.• e.g. ‘keep blood pressure < 130/85’

• Need to be able to cope with these:• e.g. ‘miminise side effects’

• Extra • Observation ‘BP 130/85’ or set{side effects}• Type symbols ‘maintain, less than’ , ‘avoid,

any of’

Page 15: Progress on Virtual Medical Record

©2001 Sowerby Centre for Health Informatics at Newcastle

Plan

• Planned Intervention set• Planned intervention will be

converted into Act with mood code

Page 16: Progress on Virtual Medical Record

©2001 Sowerby Centre for Health Informatics at Newcastle

Commitment

• Decisions made • Choice between alternatives • e.g. ‘start beta blocker’

Page 17: Progress on Virtual Medical Record

©2001 Sowerby Centre for Health Informatics at Newcastle

EHR SIG

• Initial proposed R-MIM provides most of these classes

• Commitment?• EHR SIG have VMR as their second

use case• Widen their current R-MIM to do

VMR

Page 18: Progress on Virtual Medical Record

©2001 Sowerby Centre for Health Informatics at Newcastle

Questions

• Workflow – any extensions?• Profiles/templates

• Deliberately avoided

• Events from EHR• Can these be standardised?

• Need to name them in expressions

• e.g.• Patient has encounter with care provider• Add/delete/change to record – subtypes?

Page 19: Progress on Virtual Medical Record

©2001 Sowerby Centre for Health Informatics at Newcastle

Next steps

• Clarify any extensions/changes• Clarify medication info CMETS• Work with HER SIG to extend R-

MIM• Aim for candidate R-MIM January

2002