Abstract
The healthcare sector has seen a digital revolution in smart devices, information systems, cloud services, and smart technology. The advancement of digital healthcare services has made treatment easier and more accessible. However, the healthcare sector is now the target of most cyberattacks that are impacted by data breaches. Healthcare data breaches are exposing a larger volume of records, and resulting in financial losses. Protection models are needed to analyze the pattern of healthcare data breaches and detect and forecast outcomes. This chapter aims to study the importance of cyberattacks and propose a digital trust architectural model for connected medical devices in the real-time healthcare environment.
TopIntroduction
Emerging technologies can be integrated into all areas of business including the healthcare sector. The healthcare sector takes advantage of emerging technology that monitors patients' health using smart devices (e.g., smartwatches), blood pressure cuffs, and healthcare sensors. These devices and sensors provide alerts when patients have a healthcare issue, such as a heart attack, high blood pressure, or high sugar levels. These devices can collect and evaluate medical data, enabling healthcare professionals to act before a problem arises.
Access to proactive, and personalized healthcare can be gained through remote technologies. They assist individuals in taking control of their health outcomes, and they must enable self-care for everybody. In the future of healthcare, a direct channel to the doctor is provided by Web portals, telehealth, remote health monitors, and provider chat sessions that operate around the clock. However, a few concerns may be the COVID-19 pandemic, the shortage of clinicians, and remote technology. Due to a shortage of clinicians, numerous healthcare professionals and the teams that support them are expected to have put in lengthy hours of work despite having fallen victim to infection, tragedy, and death.
Healthcare Data Security
The above concerns lead to challenges such as data transfer, a trove of data, data ownership, and business leverage in a cloud environment. Additionally, health data that is connected to banks, credit cards, and financial organizations can be stolen by criminals. For example, a Finnish company faced demands for money to keep their private notes private. It leads to data breach issues in healthcare systems. Data breaches (Verizon, 2023) in the healthcare sector are becoming common and can be brought on by a variety of events, such as malware that steals credentials, an insider who divulges patient information on purpose or by accident, or misplaced laptops or other devices. Customers are paying more attention to data protection as a result of the rising frequency of reported data breaches and penalties. Hence, data breaches must embed trust and security throughout the healthcare solution design and delivery pipeline.
Healthcare institutions can incorporate digital security methods for data breaches. Creative trust-building tools such as blockchain technology (Baltic of Estonia), creating data vaults (data stores or Pods), encryption, and data protection governance models such as GDPR and the CCPA must be used in healthcare solutions for ensuring data privacy.
But despite technology's advantages, only patients and doctors use it when they have faith in it (LisaEsch, 2021). The integration of technologies into the healthcare business needs digital trust for doing business (Charalambous et al., 2016). The digital technologies have created new business and communication opportunities. At the same time, they have exposed individuals and organizations to unknown risks, such as data breaches, cyberattacks, and online fraud.
Key Terms in this Chapter
Device Certificate: A device certificate is a type of digital certificate that enables mutual authentication and secure connections between two devices (i.e., machine-to-machine, or M2M communications). Device certificates make it possible to do everything from authenticating devices to securing their communications and data as they transmit across the Internet.
PKI Technology: Technology that can encrypt data so that it can only be read by the intended recipient using the proper certifications and cryptographic keys.
Neural Networks: Neural networks are about the human brain's working principle. It involves making a computer capable of thinking. Neural networks detect patterns and make comparisons with the general pattern used by the cardholder. If an unusual pattern is detected, then that transaction has a high chance of being fraudulent.
ZTNA: Set of solution controls who can access healthcare companies' and customers' data and keep information behind tightly locked doors.
Emerging Technologies: Emerging technologies are ICT, IoT, Cloud Computing, Artificial Intelligence (AI), Virtual or Augmented Reality (VR/AR), blockchain, robotics, and automation, etc.,
Malicious activity: Activity that attempts to obtain sensitive information such as banking and credit card details, login credentials, and personal identification information.
Healthcare Stakeholders: These are manufacturers (product and device manufacturers), distributors and wholesalers, healthcare service providers, healthcare providers/organizations (hospitals, clinics, laboratories, etc.), research and academia (academic and research institutions), standards and nonprofits organizations, healthcare patient organizations, healthcare & technology experts, etc.
Digital Trust Ecosystem: A digital trust ecosystem involves interdependent actors (enterprises, people, things) sharing standardized digital platforms to achieve a mutually beneficial purpose underpinned with cryptographic trust.
Data Protection: This is the process of safeguarding important information from corruption, compromise, or loss.
Micro-Segmentation: Micro-segmentation can be at the user, data, and credential level.
Data Vaults: Data vaults are called personalized online data stores or Pods.