Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Typical Model Studies01:30

Typical Model Studies

638
Fluid mechanics model studies often utilize scaled-down systems to predict fluid behavior in full-scale environments, such as river flows, dam spillways, and structures interacting with open surfaces. Maintaining Froude number similarity in river models is crucial, as it replicates surface flow features like wave patterns and velocities.
638
Antipsychotic Drugs: Typical and Atypical Agents01:21

Antipsychotic Drugs: Typical and Atypical Agents

903
Antipsychotic drugs are classified into first-generation (typical) drugs including phenothiazines; and second-generation (atypical) drugs. Chlorpromazine hydrochloride (Thorazine), a phenothiazine derivative, broadly impacts the central, autonomic, and endocrine systems. This drug, along with typical agents like haloperidol (Haldol), primarily works by antagonizing D2 receptors, thus reducing dopaminergic neurotransmission. However, typical antipsychotics can cause side effects such as sedation...
903
Role of Communication in the Nursing Process III: Evaluation and Documentation01:08

Role of Communication in the Nursing Process III: Evaluation and Documentation

2.1K
A successful patient outcome depends mainly on the evaluation stage of the nursing process. Evaluation determines effectiveness by reviewing what was done previously after the completion of nursing interventions. Every time a healthcare professional steps in or administers treatment, they must reassess or evaluate the action to ensure the intended result. During the evaluation phase, there are three probable patient outcomes:
2.1K
Nursing Process for Patient and Caregiver Teaching III: Evaluation and Documentation01:20

Nursing Process for Patient and Caregiver Teaching III: Evaluation and Documentation

2.6K
Evaluation of the teaching process enables the nurse to determine if the patient's learning needs were met and if training was effective. If the expected outcomes are not met, the care plan is revised, and additional education or reinforcement is provided. Nurses can ask questions after the session or obtain feedback to assess the patient's understanding of the topic.
Nurses can use several methods to evaluate patient outcomes. For example, oral questions can assess cognitive learning,...
2.6K
How Data are Classified: Categorical Data01:11

How Data are Classified: Categorical Data

45.0K
A variable, usually notated by capital letters such as X and Y, is a characteristic or measurement that can be determined for each member of a population. Data are the actual values of variables. They may be numbers, or they may be words. Datum is a single value.
Data are classified based on whether they are measurable or not. Categorical data cannot be measured; instead, it can be divided into categories. For example, if Y denotes a person's party affiliation, some examples of Y include...
45.0K
How Data are Classified: Numerical Data00:59

How Data are Classified: Numerical Data

38.1K
Data that are countable or measurable in specific units are called numerical or quantitative data. Quantitative data are always numbers. Quantitative data are the result of counting or measuring the attributes of a population. Amount of money, pulse rate, weight, number of people living in a town, and number of students who opt for statistics are examples of quantitative data.
Quantitative data may be either discrete or continuous. All quantitative data that take on only specific numerical...
38.1K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Protective Effect of EDC/NHS Cross-Linking Against Urea-Induced Collagen Destabilization in Ready-to-Eat Sea Cucumber During Room-Temperature Storage.

Foods (Basel, Switzerland)·2026
Same author

Development and Application of a Fluorescence Quantitative RT-PCR Assay for Detection of Group A Rotavirus Among Pigeons in China from 2023 to 2024.

Viruses·2026
Same author

Mesoporous catechin hydrogel for enhanced astaxanthin-based inflammatory bowel disease therapy.

Journal of nanobiotechnology·2026
Same author

PPAR-δ is a potential modulator of central carbon metabolism in human adipocytes.

Bioinformation·2026
Same author

The mediating role of health literacy in the relationship between social support and glycemic control among rural patients with diabetes in Western China: a cross-sectional SEM study.

Frontiers in endocrinology·2026
Same author

KPC-2 Orchestrates Systemic Metabolic Rewiring to Facilitate Antibiotic Adaptation in <i>Klebsiella pneumoniae</i>.

Microorganisms·2026
Same journal

Evaluation of temporal preservation in synthetic longitudinal patient data.

Journal of biomedical informatics·2026
Same journal

ARKE: An ontology-driven framework for automated mapping of local radiology procedure terms to the LOINC-RadLex playbook using large language model.

Journal of biomedical informatics·2026
Same journal

A validation-driven training controller for cross-lingual biomedical NER via reinforcement learning-based adaptive loss weighting.

Journal of biomedical informatics·2026
Same journal

ASP-HR: An Adaptive Spatial Perception and Hierarchical Reasoning mechanism for document-level biomedical relation extraction.

Journal of biomedical informatics·2026
Same journal

Beyond Accuracy: Safety-Centered guidelines for the evaluation of LLM-based therapy recommendation systems for chronic multimorbidity patients.

Journal of biomedical informatics·2026
Same journal

DeepEN: A deep reinforcement learning framework for personalized enteral nutrition in critical care.

Journal of biomedical informatics·2026
See all related articles

Related Experiment Video

Updated: Feb 9, 2026

Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis
07:11

Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis

Published on: November 10, 2023

3.3K

A data-driven framework of typical treatment process extraction and evaluation.

Jingfeng Chen1, Leilei Sun2, Chonghui Guo1

  • 1Institute of Systems Engineering, Dalian University of Technology, Dalian 116024, PR China.

Journal of Biomedical Informatics
|June 15, 2018
PubMed
Summary
This summary is machine-generated.

This study introduces an automated method to extract typical patient treatment pathways from electronic medical records (EMRs). This approach aids in optimizing clinical pathways and personalizing care for better patient outcomes.

Keywords:
AP clusteringEMR data miningSet sequence similarityTreatment process discovery

More Related Videos

A Data-Driven Approach to Quantifying Immune States in Sepsis
07:42

A Data-Driven Approach to Quantifying Immune States in Sepsis

Published on: February 7, 2025

546
Author Spotlight: Advances in Evaluating Human Lung Epithelial Cells' Response to Metal-Organic Frameworks
04:53

Author Spotlight: Advances in Evaluating Human Lung Epithelial Cells' Response to Metal-Organic Frameworks

Published on: May 26, 2023

1.7K

Related Experiment Videos

Last Updated: Feb 9, 2026

Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis
07:11

Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis

Published on: November 10, 2023

3.3K
A Data-Driven Approach to Quantifying Immune States in Sepsis
07:42

A Data-Driven Approach to Quantifying Immune States in Sepsis

Published on: February 7, 2025

546
Author Spotlight: Advances in Evaluating Human Lung Epithelial Cells' Response to Metal-Organic Frameworks
04:53

Author Spotlight: Advances in Evaluating Human Lung Epithelial Cells' Response to Metal-Organic Frameworks

Published on: May 26, 2023

1.7K

Area of Science:

  • Health Informatics
  • Data Mining
  • Clinical Pathway Development

Background:

  • Clinical pathways (CPs) standardize care but are time-consuming to create.
  • Electronic medical records (EMRs) offer a rich data source for CP construction.
  • Data-mining methods can automate the extraction of treatment processes from EMRs.

Purpose of the Study:

  • To develop an automatic method for extracting typical treatment processes from EMRs.
  • To leverage EMR data for the efficient creation and optimization of clinical pathways.
  • To support clinicians in understanding routine treatments and personalizing patient care.

Main Methods:

  • A novel similarity method to compare treatment records.
  • Affinity propagation clustering to group doctor order set sequences (DOSSs).
  • A framework to derive high-level descriptions of treatment clusters.
  • Evaluation of extracted processes using treatment efficacy, length of stay, and cost.

Main Results:

  • The method effectively extracts typical treatment processes from EMRs.
  • Experiments on 8287 cerebral infarction patients demonstrate the method's efficacy.
  • The approach shows potential for improving treatment outcomes through personalized pathways.

Conclusions:

  • Extracted treatment processes offer intuitive insights for CP redesign and optimization.
  • The method assists clinicians in understanding routine care and recommending optimal pathways.
  • Automated extraction from EMRs facilitates personalized medicine and enhances patient safety.