The integration of Artificial Intelligence (AI) and the Internet of Things (IoT) in healthcare has brought about transformative changes, revolutionizing the industry by enhancing patient care, health records, telemedicine, hospital management, health tracking, and drug discovery. However, with these technological advancements come significant considerations and challenges, particularly in the realm of data security.
Some interesting figures: According to the research by ResearchGate, the Internet of Things with Artificial Intelligence System (IoT-AIS) was proposed for health care security, where the following results were achieved: data transmission rate (98.14%), delivery rate (98.90%), high period of standard responses (93.79%), less delay estimation (10.76%), improved throughput (98.23%), effective bandwidth monitoring (83.14%), energy usage (8.56%), and performance rate (98.4%).
As the use of these technologies expands, it is worth determining their perspectives, weak points, and capabilities to strengthen data security in healthcare. This article is about how AI and IoT influence healthcare data security.
There are three things you can watch forever: fire burning, water falling, and AI transforming various industries, in particular, healthcare. AI, with its ability to analyze vast datasets and derive meaningful insights, is reshaping diagnostics, treatment plans, and personalized medicine. Let’s consider some prominent examples of AI applications in healthcare:
As we can see, the contribution of AI to the healthcare industry is quite impressive. And its application keeps growing. That’s why AI technologies are promising in healthcare. Learn more about how AI can empower your business with our AI transformation service and our previous research concerning AI and BI.
AI plays a crucial role in enhancing medical device security by offering sophisticated capabilities in threat detection, anomaly identification, and real-time monitoring. Integrating AI into medical device security strategies can significantly enhance the resilience of healthcare systems against evolving cyber threats, safeguarding patient data and ensuring the integrity of medical device operations. Let’s look through how it works:
IoT stands for the Internet of Things, which means a network of interconnected physical devices, appliances, and other objects embedded with sensors, software, and network connectivity. IoT is fostering a connected healthcare ecosystem, where smart devices and wearables seamlessly collect and transmit real-time patient data, enhancing monitoring and preventive care. Since IoT is engraved in healthcare, it is important to align it with data security.
As IoT devices become integral to medical practices, ensuring their security is paramount to safeguard patient information, maintain the reliability of medical data, and prevent unauthorized access or malicious activities. This involves implementing measures to protect the integrity, confidentiality, and availability of data transmitted and processed by IoT devices in healthcare settings. These steps may, inter alia, include authentication and access controls, network segmentation, privacy, and data governance. Earlier, we showed results of how a healthcare data platform could level up data security.
However, in addition to the aforementioned, healthcare IoT security is characterized also by vulnerabilities. Let’s take a look at some of them:
As the volume of health-related data constantly grows and new technologies appear, safeguarding patient information and keeping healthcare data secure become essential. Applying AI and IoT in healthcare is definitely a breakthrough, but let’s see whether they are helpful when it comes to preventing data breaches.
At the end of this article, we want to say that prioritizing data security in healthcare is not just a regulatory requirement; it is a fundamental commitment to the well-being, privacy, and trust of the individuals whose health information is entrusted to the care of the healthcare system. Even though IoT may cause vulnerabilities and gaps in data security, the latter can be handled with thoughtful implementation of AI- and IoT-driven cybersecurity measures, regular assessments, and the adoption of best data security practices. To be more aware of how AI and IoT could be beneficial to your business, you are welcome to get a free consultation from us.
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