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Related Concept Videos

Bioequivalence Data: Statistical Interpretation01:16

Bioequivalence Data: Statistical Interpretation

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Body:The statistical interpretation of bioequivalence data is a significant aspect of pharmaceutical research. Bioequivalence refers to the absence of any significant difference in the rate and extent to which the active ingredient in pharmaceutical products becomes available at the site of drug action when administered at the same molar dose under similar conditions. This helps determine if different drug products have similar absorption rates, ensuring their interchangeability.Statistical...
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Dosage Interval and Administration Route: Determination Methods01:19

Dosage Interval and Administration Route: Determination Methods

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A medication’s effectiveness largely depends on its appropriate dosage and the route of administration. Dosage ensures that a sufficient drug concentration is maintained in the bloodstream to elicit the desired therapeutic effect without causing toxicity. The route of administration affects the drug's bioavailability, rate of absorption, and onset of action, which are crucial for achieving optimal therapeutic outcomes. Drug dosage calculations are critical to tailoring therapy to...
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Dosage Regimen: Individualization01:24

Dosage Regimen: Individualization

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Individualization in dosing regimens is the customization of medication doses for individual patients. Its necessity arises from the goal of maximizing therapeutic benefits while minimizing risks. This approach is pivotal because human responses to drugs can vary widely; what is effective for one person may be inadequate or excessive for another. Interpatient (intersubject) variability refers to differences in drug responses between individuals, while intrapatient (intrasubject) variability...
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Dosage Regimens: Partial Pharmacokinetic Parameters01:01

Dosage Regimens: Partial Pharmacokinetic Parameters

64
It is not uncommon for complete drug pharmacokinetic profiles to remain elusive in pharmacokinetics. This necessitates certain educated assumptions by pharmacokineticists to determine appropriate dosage regimens without comprehensive pharmacokinetic data from animal or human studies. One prevalent assumption is setting the bioavailability factor, denoted as F, to 1 or 100%. This assumption caters to the scenario where a drug doesn't achieve full systemic absorption, resulting in the patient...
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Measurement of Bioavailability: Pharmacodynamic Methods01:20

Measurement of Bioavailability: Pharmacodynamic Methods

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Pharmacodynamic methods provide insights into a drug's effects on physiological processes over time and play a crucial role in understanding bioavailability and therapeutic efficacy. These methods can be broadly classified into acute pharmacological and therapeutic response approaches, each with distinct mechanisms and applications.The acute pharmacological response method directly correlates a drug's physiological effects, such as ECG or pupil diameter changes, to its time course in the body.
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Therapeutic Drug Monitoring: Drug Analysis Methods01:26

Therapeutic Drug Monitoring: Drug Analysis Methods

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Therapeutic Drug Monitoring (TDM) is a clinical practice that measures specific drug levels in a patient's blood or body tissues to tailor drug therapy effectively. This monitoring is critical for managing drugs with narrow therapeutic indices like digoxin and phenytoin, ensuring they are both safe and effective. For instance, monitoring theophylline levels in asthma patients involves precision and sensitivity to adjust doses according to individual responses to therapy, ensuring efficacy and...
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The Generalizability of a Medication Administration Discrepancy Detection System: Quantitative Comparative Analysis.

Eric Kirkendall1,2,3, Hannah Huth1,4, Benjamin Rauenbuehler1,5

  • 1Center for Healthcare Innovation, Wake Forest School of Medicine, Winston Salem, NC, United States.

JMIR Medical Informatics
|December 2, 2020
PubMed
Summary
This summary is machine-generated.

MED.Safe software effectively detected medication administration discrepancies at a new site. Customizations improved its performance, highlighting the need for flexible software to adapt to diverse clinical workflows and enhance medication safety.

Keywords:
automated algorithmdetectiondiscrepancyelectronic health recorderrorgeneralizabilitymedication administrationperformance algorithmportabilityquantitative analysisquantitative comparative analysis

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Area of Science:

  • Health Informatics
  • Clinical Pharmacy
  • Patient Safety

Background:

  • Medication errors are a significant concern, driving the need for advanced prevention strategies.
  • Electronic Health Record (EHR) technology enables real-time identification of medication administration errors.
  • MED.Safe software was developed to detect discrepancies between medication orders and administration records (MARs).

Purpose of the Study:

  • To evaluate the portability and generalizability of MED.Safe software at a secondary healthcare site.
  • To assess MED.Safe's algorithm performance and fit by comparing discrepancy rates across institutions.
  • To determine the software's effectiveness in diverse clinical settings.

Main Methods:

  • Executed MED.Safe on medication data from an implementation site to calculate prescribing ratios and discrepancy rates.
  • Conducted a retrospective analysis comparing prescribing and documentation patterns to a development site.
  • Analyzed performance variations and characterized factors contributing to discrepancies.

Main Results:

  • The implementation site exhibited lower audit/order ratios and higher MAR/(order + audit) ratios compared to the development site.
  • Consistently higher medication administration discrepancy rates were observed at the implementation site.
  • Key drivers for discrepancies included dosing range orders, data transfer issues, and delayed documentation of verbal orders.

Conclusions:

  • MED.Safe successfully detected medication administration discrepancies at a second site, demonstrating feasibility and effectiveness.
  • Comparing medication ordering, administration, and discrepancy rates identified areas for MED.Safe improvement through customization.
  • A software update enhanced MED.Safe's algorithmic fit, emphasizing the value of flexible customization for broader clinical adoption.