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1Texas A&M University School of Veterinary Medicine and Biomedical Sciences and
2The School of Biomedical Informatics |The University of Texas Health Science Center at Houston
Elise G. Brune1, Dean F. Sittig PhD2, Allison B. McCoy PhD2
Evaluation of Clinical Decision Support Alerts for Medications Contraindicated in Cancer Patients
Results
Methods
• We assessed e-prescription clinical decision support
alerts from Allscripts Enterprise EHR at UT Physicians
practice in Houston, TX.
• We then compiled and analyzed using Microsoft Excel to
identify characteristics of alert overrides.
Summary of Conclusions
Introduction
• In addition to intensive therapies, cancer patients are
frequently prescribed medications to treat comorbid
illnesses.
• Caution must be taken to prevent harmful drug
interactions that may affect patient health.
• Computerized provider order entry-based alert systems
are a way to identify medication contraindications.
• Patient safety is compromised when medication
contraindication alerts are ignored and overridden.
• Most medication contraindication alerts are overridden.
• The abundance of alert overrides may be credited to
insufficient training or poor understanding of alert system
by health professionals.
• Appropriate alert presentation, as well as tiered alerting
systems may aid efforts in decreasing overrides.
• Improvements in clinical decision support systems are
imperative to patient safety.
Acknowledgements
This project was supported in part by the CPRIT Undergraduate
Summer Cancer Research Program, a UTHealth Young Clinical and
Translational Sciences Investigator Award (KL2 TR 000370-06A1), and
NCRR Grant 3UL1RR024148.
Please contact the senior author via email:
amccoy1@tulane.edu
Results
• 117 cancer patients experienced a total of 214
contraindicated medication alerts.
• 93% of alerts were overridden.
• On average, each patient experienced 1.7 overridden
alerts.
• 83.2% of alerts were overridden and given no
explanation by the health care provider.
• Nurses and physicians overrode all presented alerts.
• Health care providers in Obstetrics/Gynecology and
Endocrinology overrode the majority of alerts.
• Otolaryngology specialists experienced non-overrides
the most.
• Most alert overrides were experienced in September and
the least in June.
• Overridden and non-overridden alerts similarly peaked
the greatest at 1:00 pm, followed by 9:00 am.
0 5 10 15 20 25 30 35 40
Obstetrics/Gynecology
Endocrinology
Family Medicine
Internal Medicine
Neurology
Unknown
Oncology
Geriatrics
Rheumatology
Urology
Dermatology
Cardiology
General Surgery
Nephrology
Pediatrics
Cardiothoracic and Vascular Surgery
Orthopedic Surgery
Otolaryngology
Pulmonary Medicine
Plastic Surgery
Number of Alerts
ProviderSpecialty
Alerts by Provider Specialty
Overridden Not Overriden
0
10
20
30
40
50
60
70
NumberofAlerts
Provider Type
Alerts by Provider Type
Overriden
Not Overriden
0
5
10
15
20
25
30
0:00
1:00
2:00
3:00
4:00
5:00
6:00
7:00
8:00
9:00
10:00
11:00
12:00
13:00
14:00
15:00
16:00
17:00
18:00
19:00
20:00
21:00
22:00
23:00
NumberofAlerts
Time of Day
Alerts by Time of Day
Overriden
Not Overriden
83%
5%
3%
2%
7%
Alert Overrides by Reason
No Explanation; Alert was overriden
Benefit out weighs risk in this patient
Low risk; appropriate warnings given
to patient
No reasonable alternatives for this
patient
No Explanation; Alert was not
overriden
0
10
20
30
40
50
60
70
80
90
Absolute Contraindication Potential Contraindication Contraindication Caution
NumberofAlerts
Priority
Alerts by Priority
Overriden
Not Overriden
0
5
10
15
20
25
30
NumberofAlerts
Month
Alerts by Month
Overriden
Not Overriden
Objective
The study was conducted to describe alerts for
contraindicated medications of cancer patients and
understand the reasoning for alert overrides in order to
improve clinical support systems.

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Evaluation of Clinical Decision Support Alerts for Medications Contraindicated in Cancer Patients

  • 1. 1Texas A&M University School of Veterinary Medicine and Biomedical Sciences and 2The School of Biomedical Informatics |The University of Texas Health Science Center at Houston Elise G. Brune1, Dean F. Sittig PhD2, Allison B. McCoy PhD2 Evaluation of Clinical Decision Support Alerts for Medications Contraindicated in Cancer Patients Results Methods • We assessed e-prescription clinical decision support alerts from Allscripts Enterprise EHR at UT Physicians practice in Houston, TX. • We then compiled and analyzed using Microsoft Excel to identify characteristics of alert overrides. Summary of Conclusions Introduction • In addition to intensive therapies, cancer patients are frequently prescribed medications to treat comorbid illnesses. • Caution must be taken to prevent harmful drug interactions that may affect patient health. • Computerized provider order entry-based alert systems are a way to identify medication contraindications. • Patient safety is compromised when medication contraindication alerts are ignored and overridden. • Most medication contraindication alerts are overridden. • The abundance of alert overrides may be credited to insufficient training or poor understanding of alert system by health professionals. • Appropriate alert presentation, as well as tiered alerting systems may aid efforts in decreasing overrides. • Improvements in clinical decision support systems are imperative to patient safety. Acknowledgements This project was supported in part by the CPRIT Undergraduate Summer Cancer Research Program, a UTHealth Young Clinical and Translational Sciences Investigator Award (KL2 TR 000370-06A1), and NCRR Grant 3UL1RR024148. Please contact the senior author via email: amccoy1@tulane.edu Results • 117 cancer patients experienced a total of 214 contraindicated medication alerts. • 93% of alerts were overridden. • On average, each patient experienced 1.7 overridden alerts. • 83.2% of alerts were overridden and given no explanation by the health care provider. • Nurses and physicians overrode all presented alerts. • Health care providers in Obstetrics/Gynecology and Endocrinology overrode the majority of alerts. • Otolaryngology specialists experienced non-overrides the most. • Most alert overrides were experienced in September and the least in June. • Overridden and non-overridden alerts similarly peaked the greatest at 1:00 pm, followed by 9:00 am. 0 5 10 15 20 25 30 35 40 Obstetrics/Gynecology Endocrinology Family Medicine Internal Medicine Neurology Unknown Oncology Geriatrics Rheumatology Urology Dermatology Cardiology General Surgery Nephrology Pediatrics Cardiothoracic and Vascular Surgery Orthopedic Surgery Otolaryngology Pulmonary Medicine Plastic Surgery Number of Alerts ProviderSpecialty Alerts by Provider Specialty Overridden Not Overriden 0 10 20 30 40 50 60 70 NumberofAlerts Provider Type Alerts by Provider Type Overriden Not Overriden 0 5 10 15 20 25 30 0:00 1:00 2:00 3:00 4:00 5:00 6:00 7:00 8:00 9:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00 23:00 NumberofAlerts Time of Day Alerts by Time of Day Overriden Not Overriden 83% 5% 3% 2% 7% Alert Overrides by Reason No Explanation; Alert was overriden Benefit out weighs risk in this patient Low risk; appropriate warnings given to patient No reasonable alternatives for this patient No Explanation; Alert was not overriden 0 10 20 30 40 50 60 70 80 90 Absolute Contraindication Potential Contraindication Contraindication Caution NumberofAlerts Priority Alerts by Priority Overriden Not Overriden 0 5 10 15 20 25 30 NumberofAlerts Month Alerts by Month Overriden Not Overriden Objective The study was conducted to describe alerts for contraindicated medications of cancer patients and understand the reasoning for alert overrides in order to improve clinical support systems.