Related Experiment Video
Updated: Jun 28, 2026
05:04
Using Simulation Models to Train Clinicians in the Use of Point-of-Care Ultrasound
Published on: August 9, 2024
Using detailed clinical models to bridge the gap between clinicians and HIT
1Results 4 Care B.V., Amersfoort, the Netherlands. williamtfgoossen@cs.com
Studies in Health Technology and Informatics
|October 28, 2008
Summary
Detailed Clinical Models (DCM) enable electronic health records and messages to be independent of specific clinical data, enhancing flexibility and reusability across multiple health IT standards and technologies.
Area of Science:
- Health Informatics
- Clinical Data Modeling
Background:
- Recent health IT standards like HL7 v3, CEN/ISO 13606, and OpenEHR utilize two-level object modeling.
- This approach allows for generic electronic health record (EHR) and message functions independent of specific clinical data.
Purpose of the Study:
- To present an overview of Detailed Clinical Models (DCM) development.
- To discuss standardization efforts and project proposals for DCM.
Main Methods:
- Eliciting clinical data from clinicians.
- Modeling clinical data as standardized clinical statements or archetypes.
- Developing generic EHR and message functions adaptable to standardized models.
Main Results:
- Detailed Clinical Models (DCM) make clinical data explicit and manageable.
- Standardized models offer flexibility in technology development.
- Facilitates data use across multiple health IT standards and technologies.
Conclusions:
- DCM enhance interoperability and flexibility in health IT systems.
- Standardization of clinical models is crucial for effective data management.
- The paper outlines progress and future directions for DCM standardization work.
Related Concept Videos
01:15Methods 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...
For example, a patient with a chronic illness...
01:26Modeling in Therapy
Modeling, a key technique in therapy, uses observational learning to help clients acquire and practice new skills by watching therapists demonstrate desired behaviors. This approach, rooted in Albert Bandura's concept of vicarious learning, plays a significant role in therapeutic interventions for various psychological conditions, including social anxiety, ADHD, and depression.
Participant Modeling
Participant modeling involves therapists demonstrating calm and effective behaviors in situations...
Participant Modeling
Participant modeling involves therapists demonstrating calm and effective behaviors in situations...
01:27Pharmacodynamic Models: Overview
Pharmacodynamic (PD) responses describe the interaction between a drug and its biological target, culminating in a physiological effect. These responses can be classified into different types: continuous variables, such as blood glucose levels; categorical outcomes, like survival rates; and time-to-event metrics, such as disease progression. Understanding and modeling PD responses are critical for optimizing drug efficacy and safety.PD models describe the relationship between drug concentration...
01:20Pharmacokinetic Models: Overview
Pharmacokinetic models utilize mathematical analysis to achieve a detailed quantitative understanding of a drug's life cycle within the body. They are instrumental in simulating a drug's pharmacokinetic parameters, predicting drug concentrations over time, optimizing dosage regimens, linking concentrations with pharmacologic activity, and estimating potential toxicity.
There are three primary types of models: empirical, compartment, and physiological. Empirical models, with minimal assumptions,...
There are three primary types of models: empirical, compartment, and physiological. Empirical models, with minimal assumptions,...
01:26Pharmacokinetic Models: Comparison and Selection Criterion
Physiological and compartmental models are valuable tools used in studying biological systems. These models rely on differential equations to maintain mass balance within the system, ensuring an accurate representation of the dynamic processes at play.
Physiological models take a detailed approach by considering specific molecular processes. They can predict drug distribution, metabolism, and elimination changes, providing a comprehensive understanding of how drugs interact with the body.
Physiological models take a detailed approach by considering specific molecular processes. They can predict drug distribution, metabolism, and elimination changes, providing a comprehensive understanding of how drugs interact with the body.
01:15Impact of Pharmacokinetic–Pharmacodynamic Models: Regulatory Decisions
PK–PD modeling has significantly influenced FDA regulatory decisions, particularly drug approval, dosage optimization, and labeling. These models integrate pharmacokinetics (PK) and pharmacodynamics (PD) to predict drug behavior and effects, aiding in optimizing dosing regimens and enhancing the probability of clinical trial success.One notable example is Nesiritide (Natrecor®), a recombinant human brain natriuretic peptide for treating acute decompensated congestive heart failure (CHF).