Accurate case finding using linked electronic clinical and administrative data at a children's hospital

P P Breitfeld1, T Dale, J Kohne

  • 1Department of Pediatrics, Indiana University School of Medicine, 702 Barnhill Drive, Indianapolis, IN 46202, USA. breit003@mc.duke.edu

Insights

Linking hospital administrative and electronic medical record data effectively identifies children with cancer experiencing fever and neutropenia. This integrated approach improves case-finding accuracy compared to using administrative data alone.

Area of Science:

  • Pediatric Oncology
  • Health Informatics
  • Data Management

Background:

  • Accurate identification of pediatric cancer patients with fever and neutropenia is crucial for timely intervention.
  • Hospital administrative data and electronic medical records (EMRs) contain valuable but often siloed patient information.
  • Effective data linkage is needed to leverage these resources for improved clinical case finding.

Purpose of the Study:

  • To link hospital administrative data with EMR data at a children's hospital.
  • To identify pediatric cancer patients admitted for fever and neutropenia using linked data.
  • To evaluate the accuracy of this integrated case-finding strategy.

Main Methods:

  • Hospital administrative data from 13,374 encounters were linked with EMR clinical data.
  • Data validation was performed to ensure accuracy of the linked records.
  • Case-finding sensitivity and specificity were calculated and compared to administrative data alone.

Main Results:

  • Successful linkage of administrative and clinical records was achieved in 99% of cases.
  • The integrated case-finding strategy demonstrated high sensitivity (73.1%) and specificity (99.6%).
  • Using administrative data alone resulted in significantly lower sensitivity and specificity (P < 0.01).

Conclusions:

  • Linking children's hospital administrative and clinical data systems is feasible.
  • This integrated approach enhances the accuracy of identifying specific patient cohorts, such as those with fever and neutropenia.
  • The method offers a valuable tool for managing common and costly conditions in pediatric healthcare.

Related Concept Videos

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.
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...
Methods of Documentation VII: EMR01:30

Methods of Documentation VII: EMR

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,...
Statistical Software for Data Analysis and Clinical Trials01:12

Statistical Software for Data Analysis and Clinical Trials

Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...