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Comparison of methods of alert acknowledgement by critical care clinicians in the ICU setting.
Harrison, Andrew M; Thongprayoon, Charat; Aakre, Christopher A; Jeng, Jack Y; Dziadzko, Mikhail A; Gajic, Ognjen; Pickering, Brian W; Herasevich, Vitaly.
Afiliación
  • Harrison AM; Medical Scientist Training Program, Mayo Clinic , Rochester , MN , United States of America.
  • Thongprayoon C; Department of Anesthesiology, Mayo Clinic , Rochester , MN , United States of America.
  • Aakre CA; Department of Internal Medicine, Mayo Clinic , Rochester , MN , United States of America.
  • Jeng JY; Mayo Medical School, Mayo Clinic , Rochester , MN , United States of America.
  • Dziadzko MA; Department of Anesthesiology, Mayo Clinic , Rochester , MN , United States of America.
  • Gajic O; Division of Pulmonology and Critical Care Medicine, Mayo Clinic , Rochester , MN , United States of America.
  • Pickering BW; Department of Anesthesiology, Mayo Clinic , Rochester , MN , United States of America.
  • Herasevich V; Department of Anesthesiology, Mayo Clinic , Rochester , MN , United States of America.
PeerJ ; 5: e3083, 2017.
Article en En | MEDLINE | ID: mdl-28316887
ABSTRACT

BACKGROUND:

Electronic Health Record (EHR)-based sepsis alert systems have failed to demonstrate improvements in clinically meaningful endpoints. However, the effect of implementation barriers on the success of new sepsis alert systems is rarely explored.

OBJECTIVE:

To test the hypothesis time to severe sepsis alert acknowledgement by critical care clinicians in the ICU setting would be reduced using an EHR-based alert acknowledgement system compared to a text paging-based system. STUDY

DESIGN:

In one arm of this simulation study, real alerts for patients in the medical ICU were delivered to critical care clinicians through the EHR. In the other arm, simulated alerts were delivered through text paging. The primary outcome was time to alert acknowledgement. The secondary outcomes were a structured, mixed quantitative/qualitative survey and informal group interview.

RESULTS:

The alert acknowledgement rate from the severe sepsis alert system was 3% (N = 148) and 51% (N = 156) from simulated severe sepsis alerts through traditional text paging. Time to alert acknowledgement from the severe sepsis alert system was median 274 min (N = 5) and median 2 min (N = 80) from text paging. The response rate from the EHR-based alert system was insufficient to compare primary measures. However, secondary measures revealed important barriers.

CONCLUSION:

Alert fatigue, interruption, human error, and information overload are barriers to alert and simulation studies in the ICU setting.
Palabras clave

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Contexto en salud: 1_ASSA2030 Problema de salud: 1_sistemas_informacao_saude Tipo de estudio: Qualitative_research Idioma: En Revista: PeerJ Año: 2017 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Contexto en salud: 1_ASSA2030 Problema de salud: 1_sistemas_informacao_saude Tipo de estudio: Qualitative_research Idioma: En Revista: PeerJ Año: 2017 Tipo del documento: Article País de afiliación: Estados Unidos
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