First name
Jonathan
Middle name
M
Last name
Beus

Title

Clinical Decision Support Stewardship: Best Practices and Techniques to Monitor and Improve Interruptive Alerts.

Year of Publication

2022

Number of Pages

560-568

Date Published

05/2022

ISSN Number

1869-0327

Abstract

Interruptive clinical decision support systems, both within and outside of electronic health records, are a resource that should be used sparingly and monitored closely. Excessive use of interruptive alerting can quickly lead to alert fatigue and decreased effectiveness and ignoring of alerts. In this review, we discuss the evidence for effective alert stewardship as well as practices and methods we have found useful to assess interruptive alert burden, reduce excessive firings, optimize alert effectiveness, and establish quality governance at our institutions. We also discuss the importance of a holistic view of the alerting ecosystem beyond the electronic health record.

DOI

10.1055/s-0042-1748856

Alternate Title

Appl Clin Inform

PMID

35613913

Title

Characteristics of Emergency Room and Hospital Encounters Resulting From Consumer Home Monitors.

Year of Publication

2022

Number of Pages

e239-e244

Date Published

07/2022

ISSN Number

2154-1671

Abstract

BACKGROUND AND OBJECTIVES: Consumer home monitors (CHM), which measure vital signs, are popular products marketed to detect airway obstruction and arrhythmia. Yet, they lack evidence of infant death prevention, demonstrate suboptimal accuracy, and may result in false alarms that prompt unnecessary acute care visits. To better understand the hospital utilization and costs of CHM, we characterized emergency department (ED) and hospital encounters associated with CHM use at a children's hospital.

METHODS: We used structured query language to search the free text of all ED and admission notes between January 2013 and December 2019 to identify clinical documentation discussing CHM use. Two physicians independently reviewed the presence of CHM use and categorized encounter characteristics.

RESULTS: Evidence of CHM use contributed to the presentation of 36 encounters in a sample of over 300 000 encounters, with nearly half occurring in 2019. The leading discharge diagnoses were viral infection (13, 36%), gastroesophageal reflux (8, 22%) and false positive alarm (6, 17%). Median encounter duration was 20 hours (interquartile range: 3 hours to 2 days; max 10.5 days) and median cost of encounters was $2188 (interquartile range: $255 to $7632; max $84 928).

CONCLUSIONS: Although the annual rate of CHM-related encounters was low and did not indicate a major public health burden, for individual families who present to the ED or hospital for concerns related to CHMs, there may be important adverse financial and emotional consequences.

DOI

10.1542/hpeds.2021-006438

Alternate Title

Hosp Pediatr

PMID

35762227

Title

Alert burden in pediatric hospitals: a cross-sectional analysis of six academic pediatric health systems using novel metrics.

Year of Publication

2021

Date Published

2021 Oct 19

ISSN Number

1527-974X

Abstract

<p><strong>BACKGROUND: </strong>Excessive electronic health record (EHR) alerts reduce the salience of actionable alerts. Little is known about the frequency of interruptive alerts across health systems and how the choice of metric affects which users appear to have the highest alert burden.</p>

<p><strong>OBJECTIVE: </strong>(1) Analyze alert burden by alert type, care setting, provider type, and individual provider across 6 pediatric health systems. (2) Compare alert burden using different metrics.</p>

<p><strong>MATERIALS AND METHODS: </strong>We analyzed interruptive alert firings logged in EHR databases at 6 pediatric health systems from 2016-2019 using 4 metrics: (1) alerts per patient encounter, (2) alerts per inpatient-day, (3) alerts per 100 orders, and (4) alerts per unique clinician days (calendar days with at least 1 EHR log in the system). We assessed intra- and interinstitutional variation and how alert burden rankings differed based on the chosen metric.</p>

<p><strong>RESULTS: </strong>Alert burden varied widely across institutions, ranging from 0.06 to 0.76 firings per encounter, 0.22 to 1.06 firings per inpatient-day, 0.98 to 17.42 per 100 orders, and 0.08 to 3.34 firings per clinician day logged in the EHR. Custom alerts accounted for the greatest burden at all 6 sites. The rank order of institutions by alert burden was similar regardless of which alert burden metric was chosen. Within institutions, the alert burden metric choice substantially affected which provider types and care settings appeared to experience the highest alert burden.</p>

<p><strong>CONCLUSION: </strong>Estimates of the clinical areas with highest alert burden varied substantially by institution and based on the metric used.</p>

DOI

10.1093/jamia/ocab179

Alternate Title

J Am Med Inform Assoc

PMID

34664664

Title

Safety of Automatic End Dates for Antimicrobial Orders to Facilitate Stewardship.

Year of Publication

2016

Number of Pages

1-5

Date Published

2016 May 13

ISSN Number

1559-6834

Abstract

<p>Following implementation of automatic end dates for antimicrobial orders to facilitate antimicrobial stewardship at a large, academic children's hospital, no differences were observed in patient mortality, length of stay, or readmission rates, even among patients with documented bacteremia. Infect Control Hosp Epidemiol 2016;1-5.</p>

DOI

10.1017/ice.2016.103

Alternate Title

Infect Control Hosp Epidemiol

PMID

27174362

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