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Survey: 18 percent of healthcare employees willing to sell patient data

ZDNet

Nearly one in five employees in the healthcare field said they're willing to sell confidential data like login credentials to unauthorized parties, a new survey from Accenture claims. Nearly one quarter of the survey's respondents said they know someone in their organization who has sold their credentials or access to an unauthorized outsider. Microsoft is trying again to tackle the healthcare market with a concerted strategy involving artificial intelligence, productivity tools, and partnerships. "Employees have a key role in the healthcare industry's battle with cyber criminals," John Schoew, leader of Accenture's Health & Public Service Security practice in North America, said. "As payers and providers invest in digital to transform productivity, cut costs and improve quality, they need a multi-pronged approach to data security that involves consistent and relevant training, multiple security techniques to protect data and continuous monitoring for anomalous behavior."


Healthcare Websites and Patient Engagement

#artificialintelligence

As part of our ongoing work in healthcare, LiquidHub routinely surveys and assesses healthcare sites related to pharma, health insurance, hospitals, and healthcare systems. This report is focused on hospital and healthcare systems, specifically assessing publicly available content. We apply a rigorous methodology to competitive and comparative reviews, looking across the entire public facing digital brand ecosystem, following the customer/patient journey from consideration through transaction and usage. This exploration is about understanding the sites' experience on a holistic level.


Health technology to address patient 'no shows'

#artificialintelligence

The Sibyl technology comes from the developers of macro-eyes, which is a machine learning company centered on personalizing patient care. The new technology allows care practices to manage the points in the day when patients do not turn up for appointments. In the U.S., for example, it has been estimated that patients not turning up for medical appointments accounts for some 15 percent of all appointments made, although for'worst case' situations'no shows' can account for up to 40 percent of the day's bookings. Costing medical centers money According to Benjamin Fels, CEO of macro-eyes, in a message sent to Digital Journal: "No-Shows and lack of optimization in scheduling costs healthcare providers billions, hits morale, strains operations and has implications on care that can cost lives." This was the reason why his company developed Sibyl, aiming to solve the appointments gap problem with machine learning.