National Healthcare Quality and Disparities Report
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Search All Research Studies
Topics
- Care Management (1)
- Children/Adolescents (1)
- Chronic Conditions (1)
- (-) Clinical Decision Support (CDS) (3)
- Electronic Health Records (EHRs) (1)
- (-) Healthcare Delivery (3)
- Health Information Technology (HIT) (2)
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AHRQ Research Studies
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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
Results
1 to 3 of 3 Research Studies DisplayedHarle CA, DiIulio J, Downs SM
Decision-centered design of patient information visualizations to support chronic pain care.
The objective of this study was to describe a decision-centered design process, and resultant interactive patient information displays, to support key clinical decision requirements in chronic noncancer pain care. Through critical decision method interviews and a half-day multidisciplinary design workshop, researchers designed an interactive prototype, the Chronic Pain Treatment Tracker. This prototype summarizes the current treatment plan, past treatment history, potential future treatments, and treatment options that require caution. The researchers concluded that the Chronic Pain Treatment Tracker presents clinicians with the information they need in a structure that promotes quick uptake, understanding, and action.
AHRQ-funded; HS023306.
Citation: Harle CA, DiIulio J, Downs SM .
Decision-centered design of patient information visualizations to support chronic pain care.
Appl Clin Inform 2019 Aug;10(4):719-28. doi: 10.1055/s-0039-1696668..
Keywords: Pain, Chronic Conditions, Shared Decision Making, Health Information Technology (HIT), Clinical Decision Support (CDS), Care Management, Healthcare Delivery
Powers EM, Shiffman RN, Melnick ER
Efficacy and unintended consequences of hard-stop alerts in electronic health record systems: a systematic review.
Clinical decision support (CDS) hard-stop alerts-those in which the user is either prevented from taking an action altogether or allowed to proceed only with the external override of a third party-are increasingly common but can be problematic. To understand their appropriate application, the investigators explored 3 key questions: (1) To what extent are hard-stop alerts effective in improving patient health and healthcare delivery outcomes? (2) What are the adverse events and unintended consequences of hard-stop alerts? (3) How do hard-stop alerts compare to soft-stop alerts?
AHRQ-funded; HS024332.
Citation: Powers EM, Shiffman RN, Melnick ER .
Efficacy and unintended consequences of hard-stop alerts in electronic health record systems: a systematic review.
J Am Med Inform Assoc 2018 Nov;25(11):1556-66. doi: 10.1093/jamia/ocy112..
Keywords: Clinical Decision Support (CDS), Electronic Health Records (EHRs), Health Information Technology (HIT), Healthcare Delivery, Patient Safety
Forster CS, Jerardi KE, Herbst L
Right test, wrong patient: biomarkers and value.
A 2-year-old girl with Pierre Robin sequence, a gastric tube, and a tracheostomy and ventilator was admitted to the hospital medicine service. The care delivered to this patient was not unsafe, and she did well. However, the value of care was almost certainly suboptimal. The continued emphasis on a single laboratory value (the procalcitonin test) rather than her clinical picture was the true driver behind the lower value of care delivered to this patient.
AHRQ-funded; HS023827.
Citation: Forster CS, Jerardi KE, Herbst L .
Right test, wrong patient: biomarkers and value.
Hosp Pediatr 2016 May;6(5):315-7. doi: 10.1542/hpeds.2015-0199.
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Keywords: Quality of Care, Children/Adolescents, Hospitalization, Clinical Decision Support (CDS), Healthcare Delivery