Literature DB >> 30306897

Caveats for the Use of the Active Problem List as Ground Truth for Decision Support.

Werner Ceusters1, Jonathan Blaisure1.   

Abstract

Diagnoses recorded on the problem list are increasingly being used for decision support applications. To obtain insight in the adequacy of the clinical user interface to capture what the clinician has in mind, and to reconstruct the clinical reality of the patient, we analyzed in the database of an EHR system the transactions that resulted from managing the problem list. Our findings indicate (1) that caution is required when using the evolution of the problem list for determining comorbidity or ongoing disease, and (2) that similarities or differences in problem list annotation sequences do not always correspond with similarities resp. differences in disease courses. It is to be investigated whether automatically identifiable subsets of problem list evolution patterns exist from which ground truth reliably can be inferred or whether clinicians need more education in how problem list user interfaces should be used to avoid erroneous interpretations by clinical decision support applications.

Entities:  

Keywords:  Computer-Assisted; Diagnosis; Medical Records; Problem-oriented

Mesh:

Year:  2018        PMID: 30306897

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  3 in total

1.  Recording problems and diagnoses in clinical care: developing guidance for healthcare professionals and system designers.

Authors:  Anoop Dinesh Shah; Nicola J Quinn; Afzal Chaudhry; Ralph Sullivan; Julian Costello; Dermot O'Riordan; Jan Hoogewerf; Martin Orton; Lorraine Foley; Helene Feger; John G Williams
Journal:  BMJ Health Care Inform       Date:  2019-12

2.  Contextual property detection in Dutch diagnosis descriptions for uncertainty, laterality and temporality.

Authors:  Eva S Klappe; Florentien J P van Putten; Nicolette F de Keizer; Ronald Cornet
Journal:  BMC Med Inform Decis Mak       Date:  2021-04-07       Impact factor: 2.796

3.  Applying computable phenotypes within a common data model to identify heart failure patients for an implantable cardiac device registry.

Authors:  Jove Graham; Andy Iverson; Joao Monteiro; Katherine Weiner; Kara Southall; Katherine Schiller; Mudit Gupta; Edgar P Simard
Journal:  Int J Cardiol Heart Vasc       Date:  2022-02-19
  3 in total

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