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EMRlog method for computer security for electronic medical records with logic and data mining.

Sergio Mauricio Martínez Monterrubio¹, Juan Frausto Solis², Raúl Monroy Borja³

¹Departamento de Ciencias Computacionales, Tecnológico de Monterrey, Campus Cuernavaca, Autopista del Sol Km 104, Colonia Real del Puente, 62790 Xochitepec, MOR, Mexico.

Biomed Research International

|October 24, 2015

Summary

Hospital computer systems face risks from inconsistent security policies. EMRlog enhances hospital data security by verifying implemented policies against directives, reducing vulnerabilities and improving system safety.

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Area of Science:

Computer Science
Information Security
Healthcare Informatics

Background:

Hospital computer systems are critical for operations but vulnerable to security policy inconsistencies.
Inconsistent policies can lead to data breaches, system failures, and data loss, impacting patient care and hospital integrity.

Purpose of the Study:

To introduce EMRlog, a novel method for enhancing computer security in hospitals.
To address the challenges posed by inconsistent security policies in healthcare IT environments.

Main Methods:

EMRlog employs predicate logic for syntactic verification of security policies.
Data mining techniques identify implemented security policies by staff.
An automatic theorem prover validates consistency between directive and implemented policies.

Main Results:

The study demonstrates a method to systematically verify security policies in hospital computer systems.
EMRlog enables detection of discrepancies between intended and actual security policy implementation.
Validation confirms the ability to identify and address policy inconsistencies.

Conclusions:

EMRlog offers a robust approach to improving hospital computer system security.
By ensuring policy consistency, EMRlog helps mitigate risks like data theft and system failures.
The method contributes to achieving safer and more reliable healthcare IT infrastructure.