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Clinical Study of Using Biometrics to Identify Patient and Procedure.

Jason W Sohn1, Haksoo Kim2, Samuel B Park3

  • 1Radiation Oncology, Allegheny Health Network, Pittsburgh, PA, United States.

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|December 18, 2020
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Summary
This summary is machine-generated.

A Biometric Automated Patient and Procedure Identification System (BAPPIS) using fingerprints was developed to reduce errors in radiotherapy and surgery. The system successfully identified patients and recalled records, potentially minimizing non-automated steps and improving safety.

Keywords:
assurancebiometricsoncologysurgeryverification

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Area of Science:

  • Medical Informatics
  • Biometrics
  • Radiotherapy and Surgery

Background:

  • Patient identification errors pose significant risks in healthcare settings, particularly in radiotherapy and surgery.
  • Accurate patient identification is crucial for ensuring correct treatment delivery and surgical procedures.

Purpose of the Study:

  • To develop and validate a Biometric Automated Patient and Procedure Identification System (BAPPIS) to reduce human interaction errors.
  • To enhance patient safety and treatment accuracy in radiotherapy and surgical environments through biometric verification.

Main Methods:

  • BAPPIS was developed using C++, Microsoft Foundation Class Library, and Oracle database, incorporating fingerprint scanning and webcam imaging.
  • Patient registration involves capturing fingerprints, photographs, and essential medical information; identification uses fingerprint verification linked to Electronic Medical Records (EMR).
  • A validation study included 143 radiotherapy patients and 21 surgery patients, with an additional 3D patient model module for surgical procedures.

Main Results:

  • The system achieved a 96.9% fingerprint verification rate among 1,311 attempts from 143 patients.
  • No false positive recognitions were reported, indicating high accuracy in patient identification.
  • The slight decrease in completion ratio was attributed to operator training during the initial study phase.

Conclusions:

  • BAPPIS effectively demonstrated the capability to accurately identify patients and retrieve their records from EMR systems.
  • The implementation of BAPPIS holds significant potential for reducing medical errors by automating identification processes and minimizing manual steps.