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. 2023 Mar;14(2):345-353.
doi: 10.1055/a-2040-0578. Epub 2023 Feb 21.

Human-Centered Design of a Clinical Decision Support for Anemia Screening in Children with Inflammatory Bowel Disease

Affiliations

Human-Centered Design of a Clinical Decision Support for Anemia Screening in Children with Inflammatory Bowel Disease

Steven D Miller et al. Appl Clin Inform. 2023 Mar.

Abstract

Background: Inflammatory bowel disease (IBD) commonly leads to iron deficiency anemia (IDA). Rates of screening and treatment of IDA are often low. A clinical decision support system (CDSS) embedded in an electronic health record could improve adherence to evidence-based care. Rates of CDSS adoption are often low due to poor usability and fit with work processes. One solution is to use human-centered design (HCD), which designs CDSS based on identified user needs and context of use and evaluates prototypes for usefulness and usability.

Objectives: this study aimed to use HCD to design a CDSS tool called the IBD Anemia Diagnosis Tool, IADx.

Methods: Interviews with IBD practitioners informed creation of a process map of anemia care that was used by an interdisciplinary team that used HCD principles to create a prototype CDSS. The prototype was iteratively tested with "Think Aloud" usability evaluation with clinicians as well as semi-structured interviews, a survey, and observations. Feedback was coded and informed redesign.

Results: Process mapping showed that IADx should function at in-person encounters and asynchronous laboratory review. Clinicians desired full automation of clinical information acquisition such as laboratory trends and analysis such as calculation of iron deficit, less automation of clinical decision selection such as laboratory ordering, and no automation of action implementation such as signing medication orders. Providers preferred an interruptive alert over a noninterruptive reminder.

Conclusion: Providers preferred an interruptive alert, perhaps due to the low likelihood of noticing a noninterruptive advisory. High levels of desire for automation of information acquisition and analysis with less automation of decision selection and action may be generalizable to other CDSSs designed for chronic disease management. This underlines the ways in which CDSSs have the potential to augment rather than replace provider cognitive work.

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Conflict of interest statement

The authors have no financial or personal relationships with people or organizations that could inappropriately influence or bias the objectivity of the submitted content. The authors have no conflicts of interest.

Figures

Fig. 1
Fig. 1
Process map for care of children with anemia and inflammatory bowel disease before and after IADx. Black lines indicate baseline and post-IADx workflow. Red lines are replaced by IADx. Blue lines indicate actions taken over by IADx. IADx, IBD Anemia Diagnosis Tool; HMP, health maintenance plan; IBD, inflammatory bowel disease; IDA, iron deficiency anemia.
Fig. 2
Fig. 2
IADx across two iterations. ( A ) 1. Interruptive alert after one round of feedback. 2. Best practice advisory patient data summary after one round of feedback. 3. Best practice advisory data summary and laboratory orders after one round of feedback. 4. Best practice advisory laboratory and medication orders after one round of feedback. IADx build after incorporating feedback from round one of usability evaluation. ( B ) 1. Interruptive alert after two rounds of feedback. 2. Normal values' table after two rounds of feedback. 3. Best practice advisory medication orders after two rounds of feedback. IADx build after incorporating feedback from round two of usability testing. ( C ) No legend. ( D ) Total iron binding capacity. ( E ) No legend. IADx, IBD Anemia Diagnosis Tool.

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