ARCHETYPE Health risk assessment (openEHR-EHR-EVALUATION.health_risk_local.v0)

ARCHETYPE IDopenEHR-EHR-EVALUATION.health_risk_local.v0
ConceptHealth risk assessment
DescriptionAssessment of the potential and likelihood of future adverse health effects as determined by identified risk factors.
UseUse to record known risk factors for an identified disease, condition, or other potentially adverse health issue, and/or an evaluation of the likelihood of the individual experiencing it in the future. As risk factors may be gradually identified over time and the overall risk reassessed as a result, the 'Date identified' will record the date on which each risk factor has been identified and the 'Last updated' data element will record the last time that the whole assessment was updated.
PurposeTo record known risk factors for an identified disease, condition, or other potentially adverse health issue, and/or an evaluation of the likelihood of the individual experiencing it in the future. This archetype has been deliberately left open and broad in scope. The 'Health Risk' could be determined from risk factors from any or all of: medical; biomarker; lifestyle; social; occupational hazard; or environmental domains. The intent of this archetype is to document potential risk at a point in time, and to support decision-making that may reduce the identified risk, whether by clinicians or the individual themselves.
ReferencesHealth Risk, draft archetype, NEHTA Clinical Knowledge Manager [Internet]. Australia: National eHealth Transition Authority. Authored: 2006 Apr 23. Available at: http://dcm.nehta.org.au/ckm/#showArchetype_1013.1.1276 (accessed 2015 Mar 04). Archetype originated from the openEHR CKM.
Copyright© openEHR Foundation
AuthorsAuthor name: Sam Heard
Organisation: Ocean Informatics
Email: sam.heard@oceaninformatics.com
Date originally authored: 2006-04-23
Other Details LanguageAuthor name: Sam Heard
Organisation: Ocean Informatics
Email: sam.heard@oceaninformatics.com
Date originally authored: 2006-04-23
Other Details (Language Independent)
  • Licence: This work is licensed under the Creative Commons Attribution-ShareAlike 3.0 License. To view a copy of this license, visit http://creativecommons.org/licenses/by-sa/3.0/.
  • Custodian Organisation: openEHR Foundation
  • References: Health Risk, draft archetype, NEHTA Clinical Knowledge Manager [Internet]. Australia: National eHealth Transition Authority. Authored: 2006 Apr 23. Available at: http://dcm.nehta.org.au/ckm/#showArchetype_1013.1.1276 (accessed 2015 Mar 04). Archetype originated from the openEHR CKM.
  • Current Contact: Heather Leslie, Ocean Informatics, heather.leslie@oceaninformatics.com
  • Original Namespace: org.openehr
  • Original Publisher: openEHR Foundation
  • Custodian Namespace: org.openehr
  • MD5-CAM-1.0.1: C75A68350D271D5649D7EDE41D43A2E2
  • Build Uid: eff85da7-c92a-454d-9969-407da261a7a1
  • Revision: 0.0.2
Keywordsassessment, risk, evaluation, adverse, factor, health, issue, estimated, management, risk factor, risk stratification
Lifecyclerejected
UID44272b9a-c607-414c-9bcf-be17ec3a8e4e
Language useden
Citeable Identifier1246.145.112
Revision Number0.0.2
protocol
Last updatedLast updated: The date this health risk assessment was last updated.
This data element may be thought redundant if the data is recorded and stored using COMPOSITIONs within a closed clinical system. However if this information is extracted from its original COMPOSITION context, for example, to be included in another document or message then the temporal context is effectively removed. This 'Last updated' data element has been explicitly added to allow the critical temporal data to be kept alongside the clinical data in all circumstances. It is assumed that the clinical system can copy the date from the COMPOSITION to reduce the need for duplication of data entry by the clinician.
Assessment methodAssessment method: Identification of the algorithm or guideline used to make the assessment of risk.
For example: Framingham cardiovascular risk calculator.
ExtensionExtension: Additional information required to capture local content or to align with other reference models/formalisms.
For example: local information requirements or additional metadata to align with FHIR or CIMI equivalents.
Include:
All not explicitly excluded archetypes
data
Health riskHealth risk: Identification of the potential future disease, condition or health issue for which the risk is being assessed, by name.
Coding of 'Health risk' with a terminology is preferred, where possible. Free text should be used only if there is no appropriate terminology available. For example: risk of cardiovascular disease, with risk factors of hypertension and hypercholesterolaemia.
Risk factorsRisk factors: Details about each possible risk factor.
Risk factorRisk factor: Identification of the risk factor, by name.
For example: hypertension and hypercholesterolaemia, which may be used as part of the overall assessment for cardiovascular disease; or a genetic marker. Coding of 'Risk factor' with a terminology, where possible.
PresencePresence: Presence of the risk factor.
  • Present [The risk factor has been identified for this individual.]
  • Indeterminate [It is not possible to determine if the risk factor is present or absent.]
  • Absent [The risk factor has not been identified for this individual.]
DescriptionDescription: Narrative description about the risk factor.
Date identifiedDate identified: The date/time that the risk factor was identified.
MitigatedMitigated: The risk factor has been identified as present, but then subsequently been mitigated by treatment or investigation.
Record as True if the risk factor has been treated or investigated and risk from this risk factor is considered to be lessened. For example: an infant given gentamicin in neonatal intensive care is regarded as having a risk of permanent hearing loss. If diagnostic testing shows no evidence of hearing loss in the first year of life, the risk of later hearing loss is considered to be much reduced, but still possible. This data element allows clinicians to say that the risk has been mitigated but should still be considered as a possibility in future. In practice, the risk factor could be maintained in the risk assessment in case it might impact the individual's health at a future time, but flagging that its contribution to risk calculation may not be as great as if it had not been previously treated or investigated.
Allowed values: {true}
Link to evidenceLink to evidence: Identification of the path to the archetype or data node for the evidence of risk.
DetailDetail: Structured detail about other aspects of the risk factor assessment.
For example: Prevalence of the risk factor in family members.
Include:
openEHR-EHR-CLUSTER.family_prevalence.v1
CommentComment: Additional narrative about the risk factor not captured in other fields.
Risk assessmentRisk assessment: Evaluation of the health risk.
There may be multiple variations on the assessment of risk. The Choice data type allows for recording of the assessment as either free text or value sets (such as low, medium or hig). The proportion data type allows recording of a percentage, a ratio or a fraction. The quantity data type allows recording of a decimal number.
Choice of:
  •  Text
  •  Proportion
  •  Quantity
    Property: Qualified real
    Units:
Assessment typeAssessment type: Record of whether the risk assessment is a relative or absolute.
  • Relative risk [Ratio of probability of a health event or condition occurring compared to a population with similar characteristics eg same age and sex.]
  • Absolute risk [Ratio of probability of a health event or condition occurring compared to the population as a whole.]
Time periodTime period: The time period during which the predicted health risk is relevant.
That is: the risk of experiencing the identified 'Health risk' in the next <X> years.
RationaleRationale: Justification for this risk assessment.
Details that may be added to this data element may include information about the population subgroups etc against which the determination of risk is assessed.
CommentComment: Additional narrative about the risk assessment not captured in other fields.
Other contributorsTomas Alme, DIPS, Norway
Nadim Anani, Karolinska Institutet, Sweden
Vebjørn Arntzen, Oslo University Hospital, Norway
Koray Atalag, University of Auckland, New Zealand
Silje Ljosland Bakke, Nasjonal IKT HF, Norway (openEHR Editor)
Lars Bitsch-Larsen, Haukeland University hospital, Norway
Rong Chen, Cambio Healthcare Systems, Sweden
Stephen Chu, Queensland Health, Australia
Shahla Foozonkhah, Iran ministry of health and education, Iran
Einar Fosse, National Centre for Integrated Care and Telemedicine, Norway
Sebastian Garde, Ocean Informatics, Germany
Heather Grain, Llewelyn Grain Informatics, Australia
Anca Heyd, DIPS ASA, Norway
Lars Karlsen, DIPS ASA, Norway
Lars Morgan Karlsen, DIPS ASA, Norway
Heather Leslie, Atomica Informatics, Australia (openEHR Editor)
Hallvard Lærum, Norwegian Directorate of e-health, Norway
Luis Marco Ruiz, Norwegian Center for Integrated Care and Telemedicine, Norway
Ian McNicoll, freshEHR Clinical Informatics, United Kingdom (openEHR Editor)
Jussara Rotzsch, UNB, Brazil
Norwegian Review Summary, Nasjonal IKT HF, Norway
John Tore Valand, Helse Bergen, Norway
Translators
  • German: Jasmin Buck, Sebastian Garde, Anneka Sargeant, Weronika Gujo, University of Heidelberg, Cental Queensland University, Universitätsmedizin Göttingen, Weronika.Gujo@med.uni-heidelberg.de
  • Swedish: Annika Terner, B3 Healthcare Consulting AB, annika.terner@b3.se, .
  • Spanish (Argentina): Alan March, Hospital Universitario Austral, Pilar, Buenos Aires, Argentina, alandmarch@gmail.com
  • Arabic (Syria): Mona Saleh