Cristin-prosjekt-ID: 385219
Sist endret: 11. desember 2014 12:42
Cristin-prosjekt-ID: 385219
Sist endret: 11. desember 2014 12:42
Prosjekt

PLUGGED IN (Providing Likeable and Understandable Guidelines using GRADE in the EMR with Directly link to INdividual patient data )

prosjektleder

Per Olav Vandvik
ved Avd Indremedisin ved Sykehuset Innlandet HF

prosjekteier / koordinerende forskningsansvarlig enhet

  • Avd Indremedisin ved Sykehuset Innlandet HF

Finansiering

  • Egen institusjon

  • Norges forskningsråd

  • Sykehuset Innlandet HF

Tidsramme

Avsluttet
Start: 15. mars 2011 Slutt: 31. desember 2016

Beskrivelse Beskrivelse

Tittel

PLUGGED IN (Providing Likeable and Understandable Guidelines using GRADE in the EMR with Directly link to INdividual patient data )

Sammendrag

Phase 1BackgroundTraditional Clinical decision support systems (CDSS) in Electronic Medical Records (EMR) provide clinicians with recommendations based on algorithms/rules using patient-specific information as inclusion/exclusion criteria. Improved systems (GRADE) for developing evidence-based guidelines result in the majority of recommendations being weak and warrant balanced clinical judgments without clear inclusion/exclusion criteria. Presentation of patient-specific information together with recommendations is relevant to facilitate use of guidelines, also in absence of such criteria.Objectives: To develop a novel approach and data model for CDSS that allow direct presentation of high quality guidelines shown together with relevant patient-specific information in the EMR instead of relying solely on algorithms/rules.Methods We explored the content of recent guidelines from several different clinical areas and used these as basis for development of our data model. ResultsGRADE guidelines are particularly well suited for structured authoring and presentation through generic and standardized components (e.g. PICO, evidence profiles, structured recommendations). We have developed a data model and an authoring tool prototype that should allow production and presentation of standardized components in the EMRs, linked to relevant patient specific information selected by guideline authors during the authoring process. Functions to connect to structured languages (e.g. MesH) allow interoperability and increase practical value. Discussion Our simplistic approach to CDSS alleviate the major obstacles of content updating, alert fatigue and imprecision found in traditional algorithm-based CDSSImplications for guideline developers/usersPLUGGED-IN provides a model for incorporation of guidelines into EMRs.

Vitenskapelig sammendrag

Phase 1BackgroundTraditional Clinical decision support systems (CDSS) in Electronic Medical Records (EMR) provide clinicians with recommendations based on algorithms/rules using patient-specific information as inclusion/exclusion criteria. Improved systems (GRADE) for developing evidence-based guidelines result in the majority of recommendations being weak and warrant balanced clinical judgments without clear inclusion/exclusion criteria. Presentation of patient-specific information together with recommendations is relevant to facilitate use of guidelines, also in absence of such criteria.Objectives: To develop a novel approach and data model for CDSS that allow direct presentation of high quality guidelines shown together with relevant patient-specific information in the EMR instead of relying solely on algorithms/rules.Methods We explored the content of recent guidelines from several different clinical areas and used these as basis for development of our data model. ResultsGRADE guidelines are particularly well suited for structured authoring and presentation through generic and standardized components (e.g. PICO, evidence profiles, structured recommendations). We have developed a data model and an authoring tool prototype that should allow production and presentation of standardized components in the EMRs, linked to relevant patient specific information selected by guideline authors during the authoring process. Functions to connect to structured languages (e.g. MesH) allow interoperability and increase practical value. Discussion Our simplistic approach to CDSS alleviate the major obstacles of content updating, alert fatigue and imprecision found in traditional algorithm-based CDSSImplications for guideline developers/usersPLUGGED-IN provides a model for incorporation of guidelines into EMRs.

prosjektdeltakere

prosjektleder

Per Olav Vandvik

  • Tilknyttet:
    Prosjektleder
    ved Avd Indremedisin ved Sykehuset Innlandet HF
  • Tilknyttet:
    Prosjektleder
    ved Sykehuset Innlandet HF
Aktiv cristin-person

Øystein Nytrø

  • Tilknyttet:
    Prosjektdeltaker
    ved Institutt for datateknologi og informatikk ved Norges teknisk-naturvitenskapelige universitet
Aktiv cristin-person

Linn Brandt

  • Tilknyttet:
    Prosjektdeltaker
    ved Avd Indremedisin ved Sykehuset Innlandet HF
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Resultater Resultater

MAGICapp - authoring and publication platform.

Brandt, Linn; Vandvik, Per Olav; Kristiansen, Annette. 2012, UIO, INNLANDETProgramvare

Effectiveness of computerized decision support systems linked to electronic health records: a systematic review and meta-analysis.

Moja, Lorenzo; Kwag, Koren H.; Lytras, Theodore; Bertizzolo, Lorenzo; Brandt, Linn; Pecoraro, Valentina; Rigon, Giulio; Vaona, Alberto; Ruggiero, Francesca; Mangia, Massimo mfl.. 2014, American Journal of Public Health. FINLAND, MCMASTER, UOA, DIAKONSYK, HHF, UPF, INNLANDET, UdSdM, TUMORI, CREAL, UIO, MARIONEGRI, ITALIAVitenskapelig oversiktsartikkel/review

Antitrombotisk behandling og profylakse: - ny generasjon retningslinjer for allmennleger.

Vartdal, Trond; Fetveit, Arne; Kristiansen, Annette; Brandt, Linn; Halvorsen, Sigrun; Berge, Eivind; Dahm, Anders Erik A; Sandset, Per Morten; Vandvik, Per Olav. 2014, Utposten. UIO, AHUS, OUS, INNLANDETVitenskapelig oversiktsartikkel/review

Hvordan kommuniserer retningslinjer med IT-systemene. Prosjekt MAGIC - Making GRADE the Irresistible choice.

Brandt, Linn; Kristiansen, Annette; Vandvik, Per Olav. 2014, KlinIKT 2014. UIO, INNLANDETFaglig foredrag

PLUGGED-IN: Providing Likeable and Understandable Guidelines using GRADE in the EMR with Direct links to INdividual patient data. phase 2.

Brandt, Linn; Kristiansen, Annette; Vandvik, Per Olav. 2013, 2013 Cochrane Colloquium. UIO, INNLANDETVitenskapelig foredrag
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