Healthcare Data Breaches: Insights and Implications

Area of Science:

• Digital Health
• Information Security
• Healthcare Data Analytics

Background:

• The digital transformation in healthcare, driven by the Internet of Medical Things and cloud services, enhances accessibility but increases vulnerability to data breaches.
• Data breaches pose significant risks to clients, stakeholders, and organizations, impacting confidentiality and trust.

Purpose of the Study:

• To analyze the categories and trends of healthcare data breaches.
• To infer findings from breach analysis to improve healthcare data confidentiality.
• To examine the increasing frequency, magnitude, and financial losses associated with healthcare data breaches.

Main Methods:

• Time series analysis using the simple moving average (SMA) method.
• Time series analysis using the simple exponential smoothing (SES) method.
• Comparative analysis of SMA and SES for forecasting healthcare data breach trends and costs.

Main Results:

• Hacking/IT incidents are the most prevalent cause of healthcare data breaches, followed by unauthorized internal disclosures.
• The frequency, number of exposed records, and financial losses from healthcare data breaches are escalating.
• The simple moving average method demonstrated more reliable forecasting results compared to simple exponential smoothing.

Conclusions:

• Healthcare data is a high-value target, necessitating robust security measures to prevent misappropriation.
• Understanding breach trends through time series analysis is crucial for enhancing data confidentiality.
• The simple moving average method offers a reliable approach for predicting future healthcare data breach patterns and associated costs.