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The Problem-Oriented Medical Record (POMR) revolutionized medical record-keeping by introducing a systematic approach focusing on the patient's problems rather than merely listing symptoms. Dr. Lawrence Weed's introduction of this method in the 1960s marked a significant advancement in medical documentation. The POMR framework consists of four key components: the database, problem list, plan of care, and progress notes.
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Model-Independent Approaches for Pharmacokinetic Data: Noncompartmental Analysis00:59

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Noncompartmental analyses offer an alternative method for describing drug pharmacokinetics without relying on a specific compartmental model. In this approach, the drug's pharmacokinetics are assumed to be linear, with the terminal phase log-linear. This assumption allows for simplified analysis and interpretation of the drug's behavior in the body.
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An ideal Y-Y transformer, grounded through neutral impedances, displays per-unit sequence networks akin to those of a single-phase ideal transformer when subjected to balanced positive- or negative-sequence currents. These currents do not produce neutral currents, and their associated voltage drops.
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Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
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Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
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Conceptual design of a generic data harmonization process for OMOP common data model.

Elisa Henke1, Michele Zoch2, Yuan Peng2

  • 1Institute for Medical Informatics and Biometry, Carl Gustav Carus Faculty of Medicine, Technische Universität Dresden, 01307, Dresden, Germany. elisa.henke@tu-dresden.de.

BMC Medical Informatics and Decision Making
|February 26, 2024
PubMed
Summary

This study conceptualizes a generic data harmonization process for the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM). This nine-step guide aids researchers in transforming local data into the standardized OMOP CDM format.

Keywords:
Claims dataClinical dataData harmonizationInteroperabilityOHDSIOMOP

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Area of Science:

  • Health Informatics
  • Data Science
  • Clinical Research

Background:

  • Linking clinical and claims data is crucial for understanding real-world patient care.
  • The Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) ensures data interoperability.
  • A standardized process for harmonizing data into the OMOP CDM is lacking.

Approach:

  • A literature review identified publications on clinical or claims data harmonization for OMOP CDM.
  • Process steps and OHDSI tools were extracted and compared across studies.
  • A generic sequence of process steps was derived from the literature.

Key Points:

  • Conceptualized a nine-step generic data harmonization process for OMOP CDM.
  • Process includes dataset specification, data profiling, vocabulary mapping, and quality analysis.
  • Identified seven OHDSI tools supporting various harmonization steps.

Conclusions:

  • The developed generic process serves as a step-by-step guide for researchers.
  • Facilitates consistent and efficient data harmonization into the OMOP CDM.
  • Aids in improving the quality and comparability of observational health data.