Biometric Authentication Systems in Healthcare

Biometric Authentication Systems in Healthcare Amir Ahmed and Bharath Perugu The University of Texas at Austin Health Information Technology Fall Certificate Program 2011 Discussion/Conclusion Healthcare providers must ensure efficient management of sensitive patient data. In addition, patient records should be accessed by authorized personnel only on a “need to know” basis 2 . The increased adoption of electronic health records (EHRs) has prompted vendors to improve the robustness of the privacy and security of their systems. Federal agencies have also taken positions regarding security of patient data. Since its inception, the Health Insurance Portability and Accountability Act (HIPAA) has increased patient privacy and security. The Centers for Medicare and Medicaid Services (CMS) encourages the use of two-factor authentication when accessing ePHI 3 . Additionally, the Federal Trade Commission (FTC) has required healthcare organizations to comply with the Identity Theft Red Flag regulations, as found in the Fair and Accurate Credit Transactions (FACT) Act 4 . However, patient data are still subjected to unauthorized access, both intentionally and unintentionally, on a frequent basis. Recently, Tricare- the managed care arm of the Military Health System- announced that five million records containing electronic protected health information (ePHI) were illegally breached 1 . Biometric authentication systems (BAS) could help healthcare providers in fulfilling the FTC mandate, as well as decrease the opportunity of illegal access to ePHI. Therefore, the purpose of this research poster is to investigate the best possible biometric authentication method for accessing health records, based on cost, hygiene, usability, anti-forgery, and accuracy. Napua reviewed different biometric methods and compared them for accuracy and usability, as shown in Figure 1 4 . From Napua ’s results, we selected three methods (palm vein authentication as shown in figures 2 and 3, fingerprint authentication as shown in figure 4, and Iris authentication as shown in figures 5 and 6), and compared them across five factors (accuracy, hygiene, cost, usability, and anti-forgery) that should be considered when choosing a BAS. These factors were common throughout the research articles we studied. The three methods were chosen because they were ranked moderate to high on usability. We then ranked each biometric method against the five factors on a low-medium-high scale, as shown in Table 1. The research by Malki showed that palm vein patterns (Figure 2) are recognized with a 99.45% accuracy rate, within 100 milliseconds scan-to-identification time 5 . The false rejection rate (FRR) is less than 0.01%, and the false acceptance rate (FAR) less than 0.00002% 5 . We researched scientific articles using Google Scholar, PubMed, and Science Direct. The keywords we used were “biometrics”, “iris scanning”, “biometric authentication”, “ePHI”, “palm vein scanning”, and “biometrics in healthcare”. We reviewed, and selected from, the first 25 articles of every search query that were published within the last six years. We also reviewed the website of the United States Department of Health and Human Services, as well as current news articles. 1 Versel, N. (2011) Information Week Healthcare. http://www.informationweek.com/news/healthcare/security-privacy/231700161 2 Hewitt, B. (2010) ‘Exploring how security features affect the uses of electronic health records’, International Journal of Healthcare Technology and Management, Vol. 11, Nos. 1/2, pp. 31-49. 3 Search for reference 4 Napua, J. (2011) ‘Growth of Biometric Technology in Self-Service Situations’, Fujitsu Science & Technical Journal , Vol. 47, No.1, pp. 68-74. 5 Malki, S., Spaanenburg, L. (2010) ‘CBAS: A CNN-based Biometrics Authentication System’, International Workshop on Cellular Nanoscale Networks and their Applications (CNNA) , pp. 1-6. 6 Watanabe, M., Endoh, T., Shiohara, M., Sasaki, S. (2005) “Palm vein authentication technology and its applications”, Proceedings of the Biometric Consortium Conference. Table 1: Comparison of Major Biometric Methods Figure 1: Comparison of palm vein and other technologies 4 ,[object Object],[object Object],[object Object],[object Object],[object Object],Amir Ahmed: aahmed99@gmail.com; (512) 736-3319 Bharath Perugu: bharath.perugu@gmail.com; (512) 632-4236 We thank Dr. Leanne Field, Dr. Kimberly Smith, Mr. Robert Ligon, Dr. Diane Kneeland, and Dr. Richard Nauert for their guidance, support, and helpful suggestions in creating this poster. Despite the different rules and regulations put in place to ensure the protection of electronic protected health information (ePHI), there are still many instances where data breaches occur. We performed a review of the literature to determine the best possible biometric authentication method. We considered eight methods, and evaluated three based on five selected factors. Based on these factors, we found that palm vein scanning was found to be the most accurate, hygienic, and cost-effective biometric authentication method. Acknowledgements References Contact Information Results Abstract Introduction Methods Figure 2: Palm Vein Pattern Figure 3: Palm Vein authentication device Figure 5: IRIS authentication device Figure 4: Finger Print authentication device Figure 6: IRIS Pattern

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