Using Real-Time Data to Warn Nurses of Medication Administration Errors Using a Nurse Situational Awareness Dashboard
Electronic Health Records (EHR) are constantly gathering an exponential amount healthcare data. Historical data is often studied to identify trends and determine the effectiveness of interventions, but rarely is Real-time data utilized to positively influence the nurse at the Point of Care. A dashboard allowing nurses to visualize their individual Near-Miss (MN) medication error risk as the needs and subsequent workload of the patients they served changed was created and piloted for 30- days. Implementation of the dashboard resulted in a 15.6% reduction of NMs.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2018 |
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| Erschienen: |
2018 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:250 |
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| Enthalten in: |
Studies in health technology and informatics - 250(2018) vom: 26., Seite 140-141 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Campbell, Amy A [VerfasserIn] |
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| Themen: |
Journal Article |
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| Anmerkungen: |
Date Completed 29.10.2018 Date Revised 29.10.2018 published: Print Citation Status MEDLINE |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM285026119 |
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| 520 | |a Electronic Health Records (EHR) are constantly gathering an exponential amount healthcare data. Historical data is often studied to identify trends and determine the effectiveness of interventions, but rarely is Real-time data utilized to positively influence the nurse at the Point of Care. A dashboard allowing nurses to visualize their individual Near-Miss (MN) medication error risk as the needs and subsequent workload of the patients they served changed was created and piloted for 30- days. Implementation of the dashboard resulted in a 15.6% reduction of NMs | ||
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