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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...
Kaplan-Meier Approach01:24

Kaplan-Meier Approach

The Kaplan-Meier estimator is a non-parametric method used to estimate the survival function from time-to-event data. In medical research, it is frequently employed to measure the proportion of patients surviving for a certain period after treatment. This estimator is fundamental in analyzing time-to-event data, making it indispensable in clinical trials, epidemiological studies, and reliability engineering. By estimating survival probabilities, researchers can evaluate treatment effectiveness,...
Documentation of Nursing Diagnosis01:10

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.
In some settings, data-driven computerized decision support systems are in place, allowing for more accurate nursing diagnoses. The database within one of these systems includes diagnostic labels defining characteristics, activities, and indicators for nursing. A nurse enters assessment...
Data Collection I01:30

Data Collection I

Data collection gathers information needed to make accurate judgments about a patient's present condition. During a health history interview, subjective data is collected from the patient, their caregivers, or family members, and objective data is collected through observations and physical assessment. Patients are the primary source of subjective data. Thus information gathered from patients through interviews, observations, and physical examination is primary data. Secondary sources of data...
Case Studies01:22

Case Studies

There are many research methods available to psychologists in their efforts to understand, describe, and explain behavior and the cognitive and biological processes that underlie it.
Data Validation01:03

Data Validation

Data validation is an essential part of a comprehensive assessment. Validation is confirming or verifying and opening the door to gathering more assessment data as it clarifies vague or unclear data. The process of checking and verifying the collected information is called data validation. The primary purpose of data validation is to ensure data is as free from error, bias, and misinterpretation as possible.
Nursing assessment guides are generally based on holistic models rather than medical...

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Related Experiment Video

Updated: May 15, 2026

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications
09:20

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

Published on: February 23, 2019

The development of a data-matching algorithm to define the 'case patient'.

Shelley Cox1, Rohan Martin, Piyali Somaia

  • 1Ambulance Victoria, 375 Manningham Rd, Doncaster, VIC 3108, Australia. Shelley.Cox@ambulance.vic.gov.au

Australian Health Review : a Publication of the Australian Hospital Association
|December 22, 2012
PubMed
Summary

A new case patient matching algorithm accurately links electronic patient care records. This sophisticated model achieves 99.98% accuracy, improving data management for emergency services.

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A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
07:50

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

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Last Updated: May 15, 2026

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications
09:20

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

Published on: February 23, 2019

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
07:50

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

Area of Science:

  • Health Informatics
  • Data Science in Healthcare
  • Emergency Medical Services

Background:

  • Electronic patient care records (EPCRs) are crucial for emergency medical services.
  • Accurate matching of EPCRs within a case is essential for data integrity and analysis.
  • Ambulance Victoria sought to improve its patient record linkage system.

Purpose of the Study:

  • To describe a novel algorithm for matching electronic patient care records within a case.
  • To evaluate the performance of this case patient matching model.

Main Methods:

  • Retrospective analysis of 445,576 Ambulance Victoria EPCRs (Jan 2009 - May 2010).
  • Utilized data captured via VACIS (Ambulance Victoria) and an integrated data warehouse.
  • The algorithm incorporated Jaro-Winkler, Soundex, and weight matching conditions.

Main Results:

  • The case patient matching algorithm demonstrated high performance.
  • Sensitivity: 99.98%
  • Specificity: 99.91%
  • Overall Accuracy: 99.98%

Conclusions:

  • The developed algorithm offers a sophisticated, efficient, and highly accurate method for matching patient records within cases.
  • This approach is applicable to other emergency services that use case-based identifiers.
  • Enhances data management and analytical capabilities for emergency response organizations.