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Electronic Medical Records (EMRs) primarily center around electronically documenting patients' health information within a single healthcare organization or practice. They contain essential clinical data related to a patient's medical history, diagnoses, medications, treatment plans, lab results, and other pertinent information relevant to the specific encounter or episode of care. EMRs are designed to streamline documentation and workflow processes within individual healthcare...
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Electromechanical systems are intricate configurations that effectively combine electrical and mechanical elements to achieve a desired outcome. Central to many of these systems is the DC motor, a device that converts electrical energy into mechanical motion, enabling various applications ranging from simple fans to complex robotic mechanisms.
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Related Experiment Video

Updated: Mar 26, 2026

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering
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Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering

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An Algorithm for Building an Electronic Database.

Wess A Cohen1, Lloyd B Gayle2, Nima P Patel2

  • 1Department of Surgery, Maimonides Medical Center, Brooklyn, NY.

Eplasty
|January 28, 2016
PubMed
Summary
This summary is machine-generated.

We present a reproducible algorithm for creating and maintaining electronic databases to analyze clinical outcomes. This cost-efficient method empowers researchers to improve patient care through data-driven insights.

Keywords:
breastdata collectiondatabaseelectronic databasereconstruction

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Area of Science:

  • Health Informatics
  • Clinical Research Methodology

Background:

  • Effective clinical outcome analysis requires robust data collection.
  • Existing methods may lack prospective maintenance or adaptability.

Purpose of the Study:

  • To propose a reproducible algorithm for establishing and maintaining electronic databases.
  • To enable retrospective analysis of prospective data for improved evidence-based care.

Main Methods:

  • Utilized Microsoft Access for database creation with standardized input fields.
  • Employed a hybrid approach: surgeon-completed forms and dedicated data entry personnel.
  • Ensured HIPAA compliance for secure data handling.

Main Results:

  • Facilitated easy and efficient data collection and transcription.
  • Allowed for flexible evolution of clinical interests and addition of new data categories.
  • Demonstrated a cost-efficient database solution without requiring additional software.

Conclusions:

  • The proposed method provides a roadmap for creating reproducible, prospectively maintained databases.
  • Enables surgeons to analyze and compare outcomes, fostering improvements in patient care.
  • Offers a sustainable and adaptable platform for ongoing clinical research.