Healthcare leaders should champion human-AI collaboration by having people work with AI to validate insights and develop engagement strategies. Organizations can — and should — implement conversational AI because it allows leaders to identify actionable areas of change and protects individuals’ privacy and identities.
Yet while these organizations recognize the merit of sharing these conversations enterprise-wide, many worry that doing so will compromise data privacy and compliance. But
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How Artificial Intelligence is Combatting Physician Burnout, Keeping Communities Healthy
Doctors do so much to keep our communities thriving. Unfortunately, according to the American Medical Association, about 63 percent of physicians report experiencing emotional exhaustion at least once weekly. Exacerbated by the volume of clinical notes required at the end of the day, physician burnout can adversely affect patient care, leading to errors and reduced care quality. This is especially alarming in the context of the physician shortage because it heightens the strain on an
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Defending Healthcare Data in 2024: 6 Basic Security Principles to Follow
Research reveals that the total number of data breaches in healthcare has doubled over the last three years. If that doesn’t prompt you to reexamine your organization’s security posture, the financial toll of these incidents might be: The average cost of a healthcare data breach is now $11M.
Despite these alarming trends, most data breaches can still be prevented by implementing the foundational principles of strong cybersecurity. Here are six measures healthcare organizations can take to
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Shifting the Paradigm: Data-Driven Product Development and the AI-Driven Standard of Care
Over the past decade, product development has undergone a transformative shift, driven by the integration of AI, machine learning, and data-driven approaches. Traditional methods that relied on user stories, prototype testing and customer research offered limited control over product development outcomes, often leaving success to multiple iterations of feasibility, testing and field assessment. However, with the advent of advanced technologies and data analysis, product development has become
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Leveraging RWD & Tech: Diversifying Clinical Research for Real-World Impact
In today's complex healthcare landscape, real-world data (RWD) is increasingly valued for its information regarding diverse patient populations. Clinical research sites are an essential part of the RWD collection process, which increasingly leverages advanced technologies that enhance data collection, analysis and informed decision-making.
RWD can accelerate development timelines and augment clinical trial insights with key observational results from a wider and more diverse range of
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The New Era of Clinical Trials: Adopting Electronic Informed Consent
The clinical trials landscape continues to evolve and with it, an exponential growth in the adoption of electronic informed consent (eConsent) solutions. These solutions deliver a myriad of benefits for trial sponsors, sites and patients. However, there is still some reluctance to adopt these solutions due to perceived costs associated with implementation and training.
The Importance of eConsent
Clinical trials are evolving with novel designs, hybrid and decentralized
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AI in Healthcare: Top Use Cases and Key Implementation Strategies for 2024
Artificial intelligence (AI) is earning recognition for its potential benefits to the healthcare sector at large, from its ability to improve care and increase efficiency, to its ability to lower costs throughout the industry. For example, applications of AI include detecting distress in hospital workers' conversations, improving providers’ revenue cycle operations, transforming healthcare supply chains – and mitigating existing racial biases in medicine.
Much of the attention surrounding
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Transforming Healthcare Through Ethical AI: Enhancing Trustworthiness, Privacy, and Compliance
In November, President Biden signed a new Executive Order – titled “Safe, Secure, and Trustworthy Artificial Intelligence” – that promises to introduce new national AI regulations that focus on safety and responsibility in the use of this revolutionary new technology. Fast on the heels of this high-profile EO, the Biden Administration has already started the process of writing actual standards for the safe use of generative AI by announcing that the U.S. Department of Commerce. In late December,
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Beyond the Hype: How AI is Helping Transform Neurodegenerative Disease Treatment Right Now
Artificial intelligence (AI) can be a sensitive subject for some healthcare professionals, and rightfully so. It was not too long ago that IBM’s Watson supercomputer won on “Jeopardy!” The hype and hubris that followed led to one of the great all-time examples of technology that some might say over-promoted and under-delivered. However, in the years that followed, AI, such as machine learning (ML), has managed to integrate into all facets of healthcare research and analysis. Some of the
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Improving Healthcare for Patients & Providers Through AI & Machine Learning
With many economic hurdles this year including rising costs and inflation, the healthcare industry has had a challenging backdrop in which to operate. In a sector dedicated to improving and saving lives, healthcare has so much to gain by adopting new AI and machine learning (ML) technologies. The World Economic Forum sums up the transformative potential of AI and ML in this setting: from propelling the development of drugs and vaccines to improving medical diagnosis and treatment, it can
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