Intelligent Paradigms for Healthcare Enterprises: Systems Thinking
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Past, present and future belief systems rest on a bedrock of paradigms: Beliefs that are internalized by the practitioners who study their effects. Several paradigms were entrenched societal belief systems — until they were changed. We are familiar with many of the past paradigms:. In this modern world, we wrestle with existing paradigms that are accepted, if not overtly then by limited attempts to prove the alternative.
New CIO paradigms for cybersecurity and prevention
Expanded value requires expanding thinking. A practical case that presents a lesson and has a clear solution. Pace led an amazing presentation on the advanced persistent threat APT case study on the Office of Personnel Management data breach full report.
The OPM data breach resulted in personnel records 4. OPM had traditional antivirus software running. This threat went undetected until not a typo. This system contained detailed lists of federal and military personnel going back 30 years. To emphasize the significant harm to national security, Pace provided one example.
He noted that special operatives were not listed in the database. Imagine that there were 15 personnel stationed at a foreign embassy. Twelve are listed in the database, who are the other three? It would not take long to identify the special operatives with this information. The magnitude of this breach was massive. The lesson: New tactics are required to thwart security threats — the old antivirus paradigm is no longer effective.
Prevention-based incident response uses artificial intelligence to identify threats, dispelling the foundational belief that antivirus software is required. Changing your core belief system is difficult. Enterprises primarily use antivirus software and run quick scans on endpoints daily if not hourly. CylancePROTECT predicts, prevents and protects enterprise endpoints from known and unknown threats by using artificial intelligence, removing the requirement for traditional signature updates. Cylance takes a mathematical approach to identify malware, using machine learning techniques instead of reactive signatures, blocking threats in real time.
Intelligent Paradigms for Healthcare Enterprises: Systems Thinking
Part of the allure of being a CIO is that as leaders we learn new concepts daily and have the good fortune to share exceptional ideas with our organizations. This paradigm shift is one of those exceptional ideas. How does OPM plug this breach? How many endpoints points are affected?
Think for a moment, how long would it take your organization to respond and address every endpoint in your infrastructure — days, months, years?
Intelligent paradigms for healthcare enterprises : systems thinking
Cylance was engaged to evaluate 10, endpoints and discovered 2, pieces of malware and contained the entire breach in 10 days. The result was nothing short of spectacular. The analysis was conducted within 48 hours, and the entire formal report was delivered in one week. After the Cylance analysis was completed, a law enforcement entity performed a detailed incident response that spanned three months; they found nothing additional.
It is built on the foundation of international standards and frameworks for integrating privacy and security into the architecture, implementation, and operation of the platform. Surprisingly, he believes privacy will increase as the datasets grow. With infomed consent, we can then build large datasets of anonymized data for AI training. Meanwhile, this year saw a large-scale cyberattack on the British National Health Service , and the increasing reliance of hospitals and clinics on computing solutions could compound similar threats.
What are the potential risks associated with the expanded role of intelligent data platforms in the sector?
Roy admits that he is optimistic. Philips is building a healthcare ecosystem with strong partners like Qualcomm Life and Amazon to ensure data is protected and the healthcare industry takes advantage of new technological advancements.
AI will no doubt play a role in improving security and protecting against threats, Roy explains. However, Artificial Intelligence is also increasingly used to monitor who accesses what information under specific conditions and to uncover patterns there. We will use AI to make data much, much safer. So what does the future hold for AI in healthcare and pharmaceutical technology? Roy believes that the paradigm shift he describes needs to occur before AI becomes truly useful in medicine.
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In an industry where patient safety is the top priority, we need to build clinical evidence and adjust our current ways of working. We have to all agree that reactive care is sometimes avoidable, and that proactive care is better than reactive. This calls for an increase in the incentives for pharma professionals and doctors alike to focus on long-term, pro-active patient care.
Past, present and future paradigms
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Singapore is quick to investigate, slow to deploy AI. The augmented clinic Surveys of patient attitudes towards AI carers and staff have produced ambiguous results. Towards smarter consumer health products Philips aims to make their consumer health products and devices smarter and more capable of collecting accurate and useful data from individuals. The impact of AI on risk.
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