The impact of intrusion detection systems upon healthcare environments: A research review

Abstract

As healthcare systems throughout the globe face an influx of new information exchange due from a variety of different network transferences, the caution that arises from utilizing such technologies can distinguish which healthcare systems are equipped to handle potential cybersecurity attacks and breaches in comparison to those who are not. This study seeks to review research that is currently available pertaining to the impact of Intrusion Detection Systems (IDS) upon different healthcare systems and the networks in which they exchange patient health information (PHI) and electronic health records (EHR) pertaining to their hospital and clinical experiences. The growing concern for patient information assurance is brought forth and substantiated as more and more healthcare providers switch to digital platforms for storing patient information and their staff exchange information for efficient healthcare practices. Whilst different researchers approach IDS from different perspectives in regard to healthcare, the outcome suggests neural network approaches such as autoencoding and fuzzy logic can help dispel potential breaches and network security threats from intercepting PHI as it is shared.