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Methods of Documentation III: PIE

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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:

Methods of Documentation VII: EMR

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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 settings,...

Methods of Documentation II: POMR

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The Problem-Oriented Medical Record (POMR) revolutionized medical record-keeping by introducing a systematic approach focusing on the patient's problems rather than merely listing symptoms. Dr. Lawrence Weed's introduction of this method in the 1960s marked a significant advancement in medical documentation. The POMR framework consists of four key components: the database, problem list, plan of care, and progress notes.

Guidelines for Nursing Documentation I

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Documentation of Nursing Diagnosis

Documentation of Nursing Diagnosis

The nurse documents nursing diagnoses and enters them into the patient record. The identified patient's nursing diagnosis is either written out with a plan of care or entered into the electronic health record.
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Methods of Documentation V: CBE

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Related Experiment Video

Updated: May 22, 2026

Implementation of Non-invasive Point of Care Transient Elastography for Evaluation of Liver Disease in Pediatric Populations with Cystic Fibrosis

Implementation of Non-invasive Point of Care Transient Elastography for Evaluation of Liver Disease in Pediatric Populations with Cystic Fibrosis

Published on: August 29, 2025

Assessing Electronic Note Quality Using the Physician Documentation Quality Instrument (PDQI-9).

Peter D Stetson¹, Suzanne Bakken, Jesse O Wrenn

¹Department of Biomedical Informatics, Columbia University.

Applied Clinical Informatics

|May 12, 2012

Summary

The Physician Documentation Quality Instrument-9 (PDQI-9) effectively measures electronic physician note quality, demonstrating strong validity and reliability. Further trials are needed to confirm its generalizability across diverse healthcare settings.

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Last Updated: May 22, 2026

Implementation of Non-invasive Point of Care Transient Elastography for Evaluation of Liver Disease in Pediatric Populations with Cystic Fibrosis

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Published on: July 7, 2023

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

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:

Medical Informatics
Healthcare Quality Improvement
Clinical Documentation

Background:

Physician documentation quality is crucial for patient care and healthcare system efficiency.
Existing tools for assessing clinical notes may lack comprehensive validation.
The Physician Documentation Quality Instrument (PDQI) was developed to address this need.

Purpose of the Study:

To refine the Physician Documentation Quality Instrument (PDQI) into a 9-item version (PDQI-9).
To rigorously test the validity and reliability of the PDQI-9 for evaluating electronic physician notes.

Main Methods:

Two physician groups (n=7 and n=24) assessed admission notes, progress notes, and discharge summaries using the PDQI-9.
Evaluated criterion-related validity, discriminant validity, internal consistency reliability (Cronbach's alpha), and inter-rater reliability (ICC).

Main Results:

The PDQI-9 demonstrated strong criterion-related validity (r = -.678 to .856).
Significant discriminant validity was observed (t = 9.3, p = .003).
High internal consistency reliability (Cronbach's alphas = .87-.94) and inter-rater reliability (ICC = .83) were found.

Conclusions:

The PDQI-9 is a valid and reliable tool for assessing the quality of electronic physician notes.
Complementary tools for assessing note redundancy are recommended.
Further multi-institutional trials are necessary to establish the generalizability of the PDQI-9.