National Healthcare Quality and Disparities Report
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Search All Research Studies
AHRQ Research Studies Date
Topics
- Adverse Drug Events (ADE) (1)
- Adverse Events (1)
- (-) Clinical Decision Support (CDS) (4)
- (-) Electronic Health Records (EHRs) (4)
- Emergency Department (2)
- Healthcare Delivery (1)
- Health Information Technology (HIT) (4)
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- Medical Errors (1)
- Medication (1)
- Patient Safety (2)
- Shared Decision Making (1)
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 4 of 4 Research Studies DisplayedLambert BL, Galanter W, Liu KL
Automated detection of wrong-drug prescribing errors.
Investigators assessed the specificity of an algorithm designed to detect look-alike/sound-alike (LASA) medication prescribing errors in electronic health record (EHR) data. They found that automated detection of LASA medication errors is feasible and can reveal errors not currently detected by other means. Additionally, real-time error detection is not possible with the current system. They suggested that further development should replicate their analysis in other health systems and on a larger set of medications and should decrease clinician time spent reviewing false-positive triggers by increasing specificity.
AHRQ-funded; HS021093.
Citation: Lambert BL, Galanter W, Liu KL .
Automated detection of wrong-drug prescribing errors.
BMJ Qual Saf 2019 Nov;28(11):908-15. doi: 10.1136/bmjqs-2019-009420..
Keywords: Adverse Drug Events (ADE), Adverse Events, Clinical Decision Support (CDS), Electronic Health Records (EHRs), Health Information Technology (HIT), Medical Errors, Medication, Patient Safety
Cochran AL, Rathouz PJ, Kocher KE
A latent variable approach to potential outcomes for emergency department admission decisions.
The authors sought to provide a general framework to evaluate admission decisions from electronic healthcare records. They estimated that while admitting a patient with higher latent needs reduced the 30-day risk of revisiting the emergency department or later being admitted through the emergency department by over 79%, admitting a patient with lower latent needs actually increased these 30-day risks by 3.0% and 7.6%, respectively.
AHRQ-funded; HS024160.
Citation: Cochran AL, Rathouz PJ, Kocher KE .
A latent variable approach to potential outcomes for emergency department admission decisions.
Stat Med 2019 Sep 10;38(20):3911-35. doi: 10.1002/sim.8210..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Emergency Department, Clinical Decision Support (CDS), Shared Decision Making, Hospitalization
Patterson BW, Pulia MS, Ravi S
Scope and influence of electronic health record-integrated clinical decision support in the emergency department: a systematic review.
This systematic review examined the scope and influence of electronic health record-integrated clinical decision support (CDS) technologies implemented in hospital emergency departments. A literature search was conducted using 4 databases from the inception of these CDS systems through January 2018. Out of 2,558 potential studies identified, 42 met inclusion criteria. Common uses for CDS technologies included medication and radiology ordering practices, and more comprehensive systems supporting diagnosis and treatment for specific diseases. The majority of studies (83%) reported positive effects on outcomes, with most studies using a pre-post experimental design (76%). The authors concluded that although most studies show positive effects of CDS technologies, many of the studies were small and poorly controlled.
AHRQ-funded; HS024342; HS024558; HS022086.
Citation: Patterson BW, Pulia MS, Ravi S .
Scope and influence of electronic health record-integrated clinical decision support in the emergency department: a systematic review.
Ann Emerg Med 2019 Aug;74(2):285-96. doi: 10.1016/j.annemergmed.2018.10.034..
Keywords: Clinical Decision Support (CDS), Electronic Health Records (EHRs), Health Information Technology (HIT), Emergency Department
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