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Related Concept Videos

Methods of Documentation III: PIE01:21

Methods of Documentation III: PIE

Problem-intervention-evaluation (PIE) is a systematic approach to documentation used in healthcare settings for clinical decision-making and patient care planning. It is a structured approach to organizing patient data based on problems, interventions, and evaluations. Here's a breakdown of its key features and considerations:
Quality Assurance01:19

Quality Assurance

Quality assurance is the overarching term used to describe the activities employed to ensure the proper performance of a system. These activities can be classified into three categories: quality control, quality assessment, and internal corrective measures. Typically, these activities work cyclically: quality control is performed before and during the analysis, while quality assessment occurs during and after the investigation. Internal corrective measures are implemented based on the findings...
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.
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Health Information Technology and Healthcare Information System01:30

Health Information Technology and Healthcare Information System

Health Information Technology (HIT)
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Nursing Implementation01:15

Nursing Implementation

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Quality Control01:05

Quality Control

Quality control is one of the three cyclical quality assurance activities that help keep a system under statistical control. Typical quality control activities include creating quality control charts, conducting proficiency testing, and documenting and archiving results.
Quality control helps track data, visualize trends, and identify variations, making it easier to detect deviations that may affect the accuracy of an analysis. One way to do this is by generating a quality control chart, which...

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Related Experiment Video

Updated: Jun 11, 2026

The Participant-Reported Implementation Update and Score (PRIUS): A Novel Method for Capturing Implementation-Related Data Over Time
06:05

The Participant-Reported Implementation Update and Score (PRIUS): A Novel Method for Capturing Implementation-Related Data Over Time

Published on: February 19, 2021

Piloting the NPF data-driven quality improvement initiative.

Michael S Okun1, Andrew Siderowf, John G Nutt

  • 1National Parkinson Foundation Center of Excellence, University of Florida, Movement Disorders Center, McKnight Brain Institute, Department of Neurology, Gainesville, FL 32611, USA. okun@neurology.ufl.edu

Parkinsonism & Related Disorders
|July 9, 2010
PubMed
Summary
This summary is machine-generated.

A pilot program is establishing a data infrastructure for Parkinson disease (PD) quality care. This will enable comparative effectiveness research (CER) and improve patient outcomes beyond clinical trials.

Related Experiment Videos

Last Updated: Jun 11, 2026

The Participant-Reported Implementation Update and Score (PRIUS): A Novel Method for Capturing Implementation-Related Data Over Time
06:05

The Participant-Reported Implementation Update and Score (PRIUS): A Novel Method for Capturing Implementation-Related Data Over Time

Published on: February 19, 2021

Area of Science:

  • Neurology
  • Health Services Research
  • Data Science

Background:

  • Comparative Effectiveness Research (CER) informs healthcare decisions and enhances care quality.
  • A network of National Parkinson Foundation (NPF) Centers of Excellence can leverage CER for improved Parkinson disease (PD) management.

Purpose of the Study:

  • To pilot a data-driven quality care program within NPF Centers of Excellence.
  • To develop the necessary infrastructure for conducting CER across a broad network of PD centers.

Main Methods:

  • Staged planning for a pilot study demonstrating infrastructure development and implementation.
  • Creation of a standardized, patient-centered clinical practice database for PD.
  • Feasibility testing within a subset of six NPF Centers of Excellence.

Main Results:

  • Description of the infrastructure for pilot feasibility testing.
  • Discussion of the potential impact of collected data (available from 2010) on PD management.
  • Demonstration of infrastructure for a multi-center clinical practice database.

Conclusions:

  • Facilitates longitudinal tracking of therapies and outcomes in PD clinical practice.
  • Provides insights into PD beyond the typical clinical trials population.
  • Aims to identify treatment-associated health outcomes and variations in clinical outcomes to refine best practices.