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Related Concept Videos

Drug Nomenclature01:17

Drug Nomenclature

During the development of a new pharmaceutical, the manufacturer initially assigns a code name to the drug. Once approved, the drug receives a United States Adopted Name (USAN)—a generic, nonproprietary designation. Upon being listed in the United States Pharmacopeia, this nonproprietary name becomes the drug's official name. Additionally, the manufacturer assigns a proprietary name or trademark, which serves as the brand name under which the drug is marketed. It is worth noting that the same...
Anatomical Terminology01:20

Anatomical Terminology

Knowledge of anatomy is essential to understand human biology and medicine. Anatomists and health care professionals use standard terminology to describe the human body with more precision and no ambiguity. Anatomical terms have mostly Greek and Latin-derived roots. Because these languages are rarely used in conversation, the meaning of words remains the same. Each term is made up of a root in between the prefixes and suffixes. The root of a term often refers to an organ, tissue, or condition,...
Therapeutic Drug Monitoring: Overview and Classification01:16

Therapeutic Drug Monitoring: Overview and Classification

Therapeutic Drug Monitoring (TDM) is a clinical practice that measures specific drug levels in a patient's blood at designated intervals to ensure the drug concentration stays within a therapeutic range. This monitoring is crucial for optimizing individual dosage regimens, enhancing therapeutic efficacy, and minimizing drug-related toxicity. TDM is vital for drugs with narrow therapeutic windows, significant variability in pharmacokinetics, and a clear correlation between plasma levels and...
Guidelines for Nursing Documentation I01:30

Guidelines for Nursing Documentation I

Quality documentation and reporting share essential characteristics that ensure they are practical and valuable resources for those who use them. These characteristics are:
Factual:  
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Pharmaceutical Poisoning: Potential Scenarios01:26

Pharmaceutical Poisoning: Potential Scenarios

Pharmaceutical poisoning can occur through various channels, impacting an estimated 2 million hospitalized patients in the U.S. annually with serious adverse drug responses. These scenarios encompass both therapeutic uses, such as drug toxicity, where even standard dosages can lead to severe central nervous system depression, and non-therapeutic exposures, including accidental ingestion by children, and environmental and occupational exposures.Unintentional poisonings often involve exploratory...
Agonism and Antagonism: Quantification01:14

Agonism and Antagonism: Quantification

When drugs are administered, they can elicit either an agonist or antagonist effect on the body. Agonism occurs when a drug activates a specific receptor, triggering a biological response. On the other hand, antagonism happens when a drug binds to the same receptors but blocks their activation, thereby preventing a biological response.
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A Data Integration Workflow to Identify Drug Combinations Targeting Synthetic Lethal Interactions
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Cross-terminology mapping challenges: a demonstration using medication terminological systems.

Himali Saitwal1, David Qing, Stephen Jones

  • 1The University of Texas School of Biomedical Informatics at Houston, 7000 Fannin Suite 600, Houston, TX 77030, USA. hsaitwal@Apelon.com

Journal of Biomedical Informatics
|July 4, 2012
PubMed
Summary
This summary is machine-generated.

Mapping medication terminologies between electronic health records and standard systems like SNOMED CT is complex. Achieving accurate mapping requires multiple methods, highlighting challenges in data integration for clinical research.

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Published on: September 20, 2018

Area of Science:

  • Biomedical Informatics
  • Health Data Management
  • Clinical Terminology

Background:

  • Standardized terminological systems enhance biomedical research and applications.
  • Interoperability often necessitates mapping between disparate terminological systems.
  • Medication information mapping presents unique complexities due to drug nomenclature and coding.

Purpose of the Study:

  • To demonstrate the complexity and challenges of mapping medication terminological systems.
  • To map proprietary electronic health record medication codes to SNOMED CT and UMLS Metathesaurus.
  • To create a polyhierarchical classification for querying a clinical data warehouse (i2b2).

Main Methods:

  • Review of medication terminological systems and their existing linkages.
  • Case study involving mapping of electronic health record (EHR) medication codes.
  • Utilized automatic mapping, semi-automated string comparison with expert selection, and manual mapping.

Main Results:

  • Only 62.5% of source medication codes were mapped automatically; compound drugs were particularly challenging (7.5% automatic mapping).
  • A combination of three distinct mapping methods was required for the majority of medications.
  • Significant challenges include data availability, terminology evolution, granularity differences, and resource intensity.

Conclusions:

  • Mapping across medication terminological systems is intricate and resource-intensive.
  • Multiple mapping strategies are essential for comprehensive and accurate data integration.
  • Addressing challenges in terminology management is crucial for effective clinical data warehousing and research.