Computing In Pharmacy Flashcards

Dr. Ubani

1
Q

What is computing in pharmacy?

A

Competing in pharmacy refers to the application of computer technology and informatics in the field of pharmacy to improve patient care, streamline pharmacy operations, and enhance the effectiveness of medication management.

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2
Q

Mention 5 areas of computer application in pharmacy.

A
  1. Pharmacy informatics
  2. Prescription management systems
  3. Pharmacy databases and drug information systems
  4. pharmacokinetic modeling and simulation
  5. Artificial intelligence (AI) and machine learning
  6. Telepharmacy and digital health
  7. Pharmacy Robotics
  8. Regulatory compliance
  9. Research and drug development
  10. Simulation and education
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3
Q

Discuss Pharmacy Informatics as an application of computing in pharmacy.

A

Electronic health records (EHR): Used to integrate and manage patient data, such as patient history, prescription history, and medication therapy management within electronic systems

Clinical decision support systems (CDSS): These systems use computing power to analyze patient data and provide real-time alerts or recommendations to pharmacists and healthcare providers about potential drug interactions, allergies, or dosage errors

Medication management systems: These systems help track and manage medication prescriptions, monitor patient adherence, and provide drug interaction checks. It helps reduce repetitive work and reduce associated medication errors

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4
Q

Discuss Prescription Management Systems as an application of computing in pharmacy.

A
  • Automated dispensing systems: robots and automated dispensing cabinets (ADCs) prepare and dispense medication, minimising error
  • E-prescribing: Docors send Rxs electronically, reducing risk of error due to illegible writing.
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5
Q

Discuss pharmacy databases and drug information systems as an application of computing in pharmacy.

A

Drug Databases: Online databases like Medscape or Embase help pharmacists/health professionals stay up-to-date on drug
information

Drug Interaction Software: These systems analyze drug regimens for possible interactions and adverse reactions, improving patient safety

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6
Q

Discuss Pharmacokinetic Modeling and Simulation as an application of computing in pharmacy.

A

Dosing Recommendations: Pharmacokinetic software helps in optimizing drug dosing by predicting how a drug pharmokinetics, which is especially useful for drugs with narrow therapeutic windows

Therapeutic Drug Monitoring (TDM): Computing tools are used to monitor drug levels in a patient’s bloodstream and adjust dosages accordingly

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7
Q

Discuss Artificial Intelligence (AI) and Machine Learning as an application of computing in pharmacy.

A
  • Predictive Analytics: AI and machine learning models analyze large datasets to predict treatment outcomes, optimize drug therapy, and identify potential ADRs before they occur,
  • Natural Language Processing (NLP): NLP algorithms are used to extract meaningful information from unstructured data such as clinical notes, which can aid in decision-making and automated reporting
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8
Q

Discuss Telepharmacy and Digital Health as an application of computing in pharmacy.

A
  • Remote Counseling: Telepharmacy allows pharmacists to provide counseling and MTM services remotely, which is especially important in rural or underserved areas.
  • Mobile Apps: Apps for medication reminders, medication tracking, and health monitoring help patients stay compliant with their therapy while providing valuable data to healthcare providers.
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