A recent report by The Markup, validated by research published in Patterns, highlights the risk of including third-party JavaScript in an organization’s website. The studies discovered that the Meta/Facebook “pixel” that was included on a large number of hospital and health organization websites was sending sensitive medical data to Meta, possibly in violation of HIPAA regulations.
Given the way the modern web is constructed, with pages assembled in real-time in the customer’s browser, there
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Harnessing Healthcare Data: How the Right Low-Code Solution Empowers Clinicians & Improves Patient Experience
The healthcare industry has been slowly adopting new technology solutions to improve efficiency and patient care, but it’s still largely known for paper-based processes, and for having massive amounts of data1. To make matters worse, it’s estimated that 80% of the data in the healthcare industry is unstructured, in the form of discharge summaries, medical images, and clinical notes.2
Even though the industry has started to adopt technology tools to get better insights and
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How Faster Data Access Can Save Lives
Eleven months versus ten years. When you’re waiting for an answer to cure or prevent a disease, that difference can feel like forever. Scientists that developed the COVID vaccine in under a year represent a huge medical breakthrough compared to the standard decade-long vaccine process. The expedited research and development phase showed the world just how quickly the process could occur if given the right resources.
The key here was better data. Data collaborations quite literally
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Realizing the Dream of AI in Clinical Trials—How to Address Key Challenges
The clinical development process is incredibly time consuming and only yields a success rate of about 10%. One way to reduce the time, cost and success of the clinical development process is to introduce artificial intelligence (AI) into clinical trials and implement AI-driven process automation.
The dream of AI in clinical trial execution is for trial functions to run autonomously, like a self-driving car. A self-driving car knows how fast it is going, where it needs to go,
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How Service Line Alignment Can Improve Cost Savings for Health Systems
Healthcare leaders continue to face new and complex challenges in a constantly evolving landscape, including staffing and capacity constraints, product shortages, and rising costs. These shifting demands change the expectations put on hospitals when it comes to both patient care and financial performance. As we’ve observed, this uncertainty was further amplified by the COVID-19 pandemic, which shined a light on many opportunities for improved financial and clinical operations across the
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Challenges and Opportunities for At-Home COPD Management
There are an estimated 16 million Americans who suffer from Chronic Obstructive Pulmonary Disease (COPD). Patients with COPD are frequently prescribed respiratory medication and given at-home treatment strategies designed to improve general wellness and improve airflow. These strategies may include smoking cessation, air quality control, exercise, and stress management. Unfortunately, despite the use of medication and widespread adoption of lifestyle strategies, COPD continues to represent a
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Why There’s Renewed Interest In The Cloud for Healthcare
From the development of the EMR to the growth of telehealth, the digital environment for healthcare has evolved tremendously over the last few years. So, it’s no surprise that IT spending is set to increase by 12.3% for cloud computing, 9.7%, for digital transformation, and 9.7% for security software this year. Though healthcare organizations have historically been slower to adopt cloud, we’re now seeing renewed interest.
Has the pandemic caused a reaction among IT leaders to
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SDoH: Today’s Health Systems Are Ill-Equipped to Meet SDOH Demands
Today’s youth understand the role SDoH plays in their health outcomes. But health systems are woefully ill-equipped to meet this growing demand. That needs to change. And with the right technology, it can.
A true social revolution began on August 1, 1981. That’s the day teens and tweens everywhere started telling their parents, “I want my MTV!”
Music Television (MTV)—streamed via satellite and a proprietary set-top box 14 years before the Internet was a glimmer in the consumer’s
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Using AI to Match Patients with Clinical Trials for Proactive Treatment
We are entering a new era of patient treatment options thanks to cutting-edge technologies that are changing the way life science companies approach and execute pharmaceutical research. One of the more significant solutions that support the faster and more efficient development of new pharmaceutical products – such as the COVID-19 vaccine, which was developed faster than any other vaccine in history – is artificial intelligence (AI)-driven data analysis. Thanks to modern life science technology
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EMPI/MPI: An End-to-End Approach to Patient Data Integrity
Maintaining patient data integrity is more complicated than ever; cybersecurity threats loom, patients are taking more ownership of their care (self-registration, for example) and health system merger activity is on the rise. It can make the quest for the ever-elusive 1% maximum duplicate rate seem, at times, unattainable.
But a secure, accurate, and duplicate-free MPI/EMPI can be achieved. It just requires a multi-pronged approach to protect data throughout its journey into a health system
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