How Technology Helps You to Overcome Healthcare Spam Threats

How Technology Helps You to Overcome Healthcare Spam Threats

Healthcare Tech Outlook | Sunday, November 08, 2020

FREMONT, CA: Healthcare providers work continuously to improve the quality of care and to bring out better patients outcomes. But healthcare is one of the biggest industries to be hit hard by data breach and cyber attacks. There are a lot of hackers who hack into people’s sensitive information to illegally snatch their property. 

Fraud in the healthcare sector will continuously evolve, but technology can prevent it. Check out some of the common healthcare spam threats and phishing techniques.

• Malware

Hackers normally include malicious codes in email, in the form of PDF or Word Documents, or as links redirecting to malicious sites. Those links are designed to run in a user’s browser without their awareness.  When a user clicks on the embedded link, the malware completely takes over and spreads throughout the entire networks in mere seconds.

• Phishing

Phishing emails are the most widely used mode of cyber-attack for healthcare hackers. Phishing spammers send unrequested emails to users falsely claiming to be a well established business. Sometimes these emails will be sent in bulk and it will contain a link that takes the users to malicious sites where they have to update their sensitive data such as credit card details, bank account information and social security information.

Technology to Prevent Healthcare Frauds

Artificial Intelligence and machine learning systems can sort large amounts of user data in a fraction of the time and thus preventing normal human errors. Here’s how hospitals can fight against phishing attacks using AI and Machine Learning.

• Detecting anomalies in healthcare data

Artificial Intelligence is programmed to recognize suspicious behaviors and oddity – things that don’t look right. Machine learning acquires non-human programmed perception by analyzing data and exploring patterns trying to find specific criteria that could indicate the presence of healthcare fraud. AI system can tell the difference between genuine ways of entering data and an authentic fraud behavior. So AI and ML is slowly becoming a highly valuable tool for various industries.

AI will be a valuable tool for detecting and preventing healthcare phishing spam, but we should not completely rely on them. It can never replace the human analysts who understand the difference between the general human errors and will prevent the system from flagging them as spam that might just be a typo entered by a doctor or staffs.

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