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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
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©2001 Sowerby Centre for Health Informatics at Newcastle
Progress on Virtual Medical Record
HL7 Salt Lake City
©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
©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
©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
©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
©2001 Sowerby Centre for Health Informatics at Newcastle
Five Basic Classes
• Observation• Intervention• Goal• Plan• Commitment
• + Patient, Guideline, Agent (Care Provider, DSS)
©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)
©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
©2001 Sowerby Centre for Health Informatics at Newcastle
Qualitative Observation
• Subjective • ‘Primary’ observations, not inferred• e.g. symptoms, signs
©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
©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?
©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?
©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.
©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’
©2001 Sowerby Centre for Health Informatics at Newcastle
Plan
• Planned Intervention set• Planned intervention will be
converted into Act with mood code
©2001 Sowerby Centre for Health Informatics at Newcastle
Commitment
• Decisions made • Choice between alternatives • e.g. ‘start beta blocker’
©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
©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?
©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