Optimizing Patient Safety
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The University of Nairobi *
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Course
430
Subject
Health Science
Date
Nov 24, 2024
Type
docx
Pages
3
Uploaded by kww001
1
Optimizing Patient Safety: Leveraging Predictive Analytics to Mitigate Medication Errors
in Hospital Pharmacies
Student’s Name
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OPTIMIZING PATIENT SAFETY
2
ABSTRACT
Research Purpose:
This study focuses on the application of predictive analytics to enhance
patient safety by proactively mitigating medication errors in hospital pharmacy settings. It aims
to explore the utility of predictive analytics in identifying and preventing medication errors
through the use of historical data and predictive models, empowering healthcare providers to
take preemptive measures.
Background
: Patient safety is fundamental in healthcare, and
medication errors remain a significant challenge. This research study addresses this challenge by
leveraging predictive analytics to anticipate and prevent medication errors before they occur,
thereby fortifying patient safety within hospital pharmacies.
Methods:
The study employs a
comprehensive literature review methodology, with a specific focus on existing literature related
to predictive analytics in healthcare, its applications in medication safety, and its potential to
mitigate medication errors. The articles were accessed through databases such as PubMed, Web
of Science, and CINAHL with the help of various keywords which were directly related to the
question research.
Results:
The findings emphasize the potential of predictive analytics to
proactively mitigate medication errors, supplying actionable insights to healthcare providers.
This approach aligns with the broader goals of data-driven healthcare and patient safety,
advancing the understanding of how data-driven methods can optimize medication safety in
healthcare practices.
Conclusion
: Predictive analytics has the potential to play a pivotal role in
enhancing patient safety by proactively mitigating medication errors. By leveraging historical
data and predictive models, healthcare providers can anticipate potential errors and take
preemptive measures.
(Word Count: 242)
OPTIMIZING PATIENT SAFETY
3
Keywords:
Patient Safety, Medication Errors, Predictive Analytics, Hospital Pharmacies,
Healthcare Technology, Medication Safety, Healthcare Quality Improvement, Pharmacy
Management, Data-driven Healthcare, Medication Adverse Events.
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