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Related Experiment Video

Updated: Jun 16, 2026

Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index
06:55

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Published on: January 8, 2020

Exploring medical identity theft.

Desla Mancilla1, Jackie Moczygemba

  • 1West Suburban College, Oak Park, IL, USA.

Perspectives in Health Information Management
|February 20, 2010
PubMed
Summary
This summary is machine-generated.

Medical identity theft is a growing concern. Healthcare organizations need better patient identity confirmation, staff training, and advanced solutions like biometrics to combat this crime.

Keywords:
Medical identity theftadmittingpatient identificationregistration compliance

Related Experiment Videos

Last Updated: Jun 16, 2026

Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index
06:55

Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index

Published on: January 8, 2020

Area of Science:

  • Healthcare Administration
  • Information Security
  • Medical Ethics

Background:

  • Medical identity theft poses a significant and increasing threat to healthcare institutions.
  • Current patient identification and verification practices within healthcare settings exhibit considerable variability.
  • Effective strategies are needed to mitigate the risks and impact of medical identity theft.

Purpose of the Study:

  • To evaluate existing practices in admitting and registration departments for reducing medical identity theft.
  • To identify areas for improvement in patient identity management within healthcare organizations.
  • To explore potential solutions for enhancing patient identification verification.

Main Methods:

  • A mixed-method study employing a two-stage electronic survey.
  • Follow-up telephone surveys with chief compliance officers in acute healthcare organizations.
  • On-site observations of admitting and registration department procedures.

Main Results:

  • Significant variance was observed in how patient identity is confirmed across different healthcare settings.
  • Current information systems may not be optimized for efficient identity management.
  • Compliance with existing medical identity theft policies and procedures requires consistent monitoring.

Conclusions:

  • Healthcare organizations must enhance patient identity management through improved information systems and robust training for admitting and registration staff.
  • Regular monitoring of compliance with established policies is crucial.
  • Implementing advanced solutions, such as biometric identity management, should be considered to strengthen patient identification verification and prevent medical identity theft.