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Following on from my last blog AI & ML - What Are They & Why Should You Care?, we now delve into the critical realm of GDPR compliance, especially in the complex landscape of healthcare data management. This includes not just patient data, but also a myriad of enquiry data across platforms such as websites, digital forms, CRM, EMR, and teletherapy/video call platforms. In order for your technology to do what you want, your business must have impeccable data hygiene and solid internal processes to manage data both effectively and legally.
By 2024, 75% of large enterprises will use AI in an operational capacity, according to Gartner (a leading technological research firm). When you consider that healthcare data breaches cost an average of £3.4 million per incident (as reported by IBM) the financial implications of non-compliance with data and privacy regulations could be catastrophic under GDPR and the Data Protection Act
AI can process and analyse vast amounts of data, which means that your GDPR compliance becomes both more complex yet your obligations to safeguard remain non-negotiable. It’s also not just about securing data but also about ensuring it’s used ethically and transparently.
My Top 5 GDPR Strategies & Considerations
Enhanced Data Security Measures: When handling special category data, implementing advanced security protocols is non-negotiable. Encryption, access controls, and regular security audits are crucial. If you do not already have someone running lead on data in your organisation now is the time to get that sorted.
Robust Data Processing Agreements: Ensure that any third-party AI solutions are GDPR compliant. Rigorous vetting and clear agreements are essential to safeguard against compliance risks. Always remember that due diligence is your responsibility. Not all countries adhere to the same data governance rules especially in relation to special category information, you need to ensure any software you use is suitable for the rules of the country in which you will be processing data.
Employee Training and Awareness: Regular training sessions for staff on GDPR compliance, especially in the context of AI, can significantly reduce the risk of data breaches. Training includes providing staff with relevant guides on how to use the platform and the processes you want performed on it, it is also about creating a space for feedback if anyone feels the system is not working well or they require more support. Lastly, even the slickest software may go down at some point, what contingency processes do you have in place for if that happens and do all relevant employees know about them? Making sure they do will limit the negative impact the down time could have on your business.
Implementing AI with Ethical Considerations: AI should be designed and deployed with an ethical framework in mind, prioritising patient privacy and data security. Not only will keeping this sentiment at the forefront of your plans ensure your staff understand the values you aim to uphold, it will also help you address any resistance you meet from patients and clients around having their data stored or having any part of their experience automated.
Maintaining Transparency in AI Algorithms: AI systems should be transparent and explainable, especially when they’re used to assist with a patient's diagnosis or treatment recommendations. Do you need to update your treatment contracts, privacy policy or terms and conditions to incorporate the new process or software you are using? If in doubt, check!
“Privacy means people know what they’re signing up for, in plain language, and repeatedly. I believe people are smart. Some people want to share more than other people do. Ask them.” – Steve Jobs
Compliance is not just a legal necessity; it’s a business imperative. A study by Cisco revealed that 90% of businesses saw an operational benefit from investing in privacy, with an average return of $2.70 for every $1 spent on privacy. With that in mind can you afford to not invest in this?
Why External Consultants Like JCRC are Crucial
Tailored GDPR Roadmaps: We can provide customised strategies that align with your specific stack and business model, ensuring both compliance and operational efficiency. We can also assist in onboarding your staff to the new systems and discerning how your new tech will help you better interact with your customers or patients and other businesses you may have cause to interact with.
Risk Assessment and Management: We can conduct thorough risk assessments, identifying potential vulnerabilities in your data handling and AI applications.
Business Continuity Planning: We can help develop robust plans to ensure business continuity, especially in the event of a data breach, if a software breaks or around any potential compliance issues.
Cost-Effective Compliance: By identifying the most effective compliance strategies, we can help optimise expenditure, avoiding unnecessary costs and maximising ROI.
As the healthcare sector increasingly adopts AI and ML, integrating GDPR compliance into this technological evolution is not just about adhering to regulations; it's about fostering trust, ensuring ethical data use, and ultimately, enhancing business profitability. The intersection of AI, GDPR, and healthcare presents unique challenges, but it also offers unparalleled opportunities for innovation, growth, and profitability.
Embracing AI in healthcare is an exciting journey, but it must be navigated with care and expertise. If you’re looking to enhance your profitability while staying compliant and ethical in your data handling, we’re here to help. Connect with us for a comprehensive consultation tailored to your unique needs. Let’s make your healthcare service not just innovative, but also resilient and responsible in this digital age.
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