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

Methods of Documentation VI: Case Management Model01:15

Methods of Documentation VI: Case Management Model

The case management model is a multidisciplinary approach that involves healthcare professionals from diverse disciplines, such as physicians, nurses, therapists, social workers, and pharmacists, working collaboratively to address the various needs of patients. Each healthcare professional brings unique expertise and perspectives, contributing to a more comprehensive understanding of the patient's condition and tailoring treatment plans accordingly.
For example, a patient with a chronic illness...
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast, controlled...
Measurement of Bioavailability: Pharmacodynamic Methods01:20

Measurement of Bioavailability: Pharmacodynamic Methods

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.
Measurement of Bioavailability: Pharmacokinetic Methods01:30

Measurement of Bioavailability: Pharmacokinetic Methods

Pharmacokinetics is a vital branch of pharmacology that examines how drugs are absorbed, distributed, metabolized, and excreted by the body. Two key methodologies in pharmacokinetics are plasma drug concentration studies and urinary drug excretion analyses, both of which provide critical insights into a drug's therapeutic efficacy and bioavailability.Plasma Drug Concentration-Time StudiesPlasma drug concentration-time studies involve analyzing blood samples at specific intervals to quantify...
Clinical Trials01:16

Clinical Trials

Clinical trials are prospective experimental studies conducted on humans to determine the safety and efficacy of treatments, drugs, diet methods, and medical devices. Using statistics in clinical trials enables researchers to derive reasonable and accurate conclusions from the collected data, allowing them to make wise decisions in uncertain situations. In medical research, statistical methods are crucial for preventing errors and bias.
There are four phases in a clinical trial. A phase one...
Nursing Clinical Information System01:27

Nursing Clinical Information System

Nursing Clinical Information System (NCIS)
A Nursing Clinical Information System (NCIS) is a specialized type of healthcare information system tailored to meet the unique needs of nursing practice. It incorporates the principles of nursing informatics to streamline information management and improve the quality of care delivery.
Critical attributes of NCIS include:

You might also read

Related Articles

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

Sort by
Same author

The role of context in strategic human resource management within private hospitals in Ethiopia, compared to public hospitals.

Frontiers in health services·2026
Same author

Acute effect of cryoballoon pulmonary vein isolation on the signal-averaged P-wave.

Frontiers in cardiovascular medicine·2026
Same author

Ablation of atrial fibrillation sources identified through sequential high-density mapping: in silico comparison against anatomy-based approaches.

Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology·2025
Same author

Estimated atrial fibrillation burden on early rhythm-control and cardiovascular events in the EAST-AFNET 4 trial.

EClinicalMedicine·2025
Same author

The role of cultural values and norms in the adoption and implementation of foreign innovations in health service delivery in China.

Frontiers in health services·2025
Same author

Editorial: Health services and the 4th industrial revolution.

Frontiers in health services·2025
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: Jun 10, 2026

Using Continuous Data Tracking Technology to Study Exercise Adherence in Pulmonary Rehabilitation
09:42

Using Continuous Data Tracking Technology to Study Exercise Adherence in Pulmonary Rehabilitation

Published on: November 8, 2013

Measuring clinical pathway adherence.

Joris van de Klundert1, Pascal Gorissen, Stef Zeemering

  • 1Institute of Health Policy & Management, Erasmus Medical Centre, Rotterdam, The Netherlands. vandeklundert@bmg.eur.nl

Journal of Biomedical Informatics
|August 11, 2010
PubMed
Summary
This summary is machine-generated.

New dynamic programming methods accurately measure clinical pathway adherence by analyzing individual patient data. This approach overcomes limitations of existing binary adherence measurements, offering deeper insights into implementation challenges and outcomes.

Related Experiment Videos

Last Updated: Jun 10, 2026

Using Continuous Data Tracking Technology to Study Exercise Adherence in Pulmonary Rehabilitation
09:42

Using Continuous Data Tracking Technology to Study Exercise Adherence in Pulmonary Rehabilitation

Published on: November 8, 2013

Area of Science:

  • Health Informatics
  • Clinical Informatics
  • Healthcare Management

Background:

  • Clinical pathway adoption is increasing globally, necessitating robust adherence measurement.
  • Current adherence literature often relies on binary measurements for patient groups, limiting individual patient pathway analysis.
  • Existing methods fail to capture the complexity of actual patient journeys through clinical pathways.

Purpose of the Study:

  • To develop and validate novel dynamic programming formulations for measuring clinical pathway adherence.
  • To enable adherence assessment based on partially ordered data from medical records and pathway definitions.
  • To analyze clinical pathway adherence at a specific academic medical center.

Main Methods:

  • Development of dynamic programming algorithms for adherence measurement.
  • Utilizing partially ordered data from electronic health records.
  • Application of developed methods to clinical pathway definitions.
  • Empirical analysis of clinical pathway adherence data.

Main Results:

  • Successfully developed and tested dynamic programming formulations for clinical pathway adherence.
  • Demonstrated the capability to measure adherence using complex, partially ordered patient data.
  • Provided a more nuanced understanding of adherence compared to traditional binary methods.
  • Analyzed adherence patterns within a real-world clinical setting.

Conclusions:

  • The novel dynamic programming approach offers a significant advancement in measuring clinical pathway adherence.
  • This method provides valuable insights into individual patient pathway deviations and adherence complexities.
  • Accurate adherence measurement is crucial for understanding and optimizing clinical pathway implementation and outcomes.