Case Study: How MiHIN Went From Legacy HIE to Next-Gen Innovator Driving Patient-Centered Healthcare
The Client: The Michigan Health Information Network Shared Services (MiHIN) is Michigan’s statewide health information network, securely connecting hospitals, pharmacies, health insurance providers, doctors and specialists to help deliver the best
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Posted
Apr 29, 2024 | Author Kate Wang, tagged in
Since early March, Cloudticity has been following the massive attack on Change Healthcare that’s led to a deluge of issues–from operational delays, government involvement, lawsuits, and an increased threat of further attack.
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Posted
Apr 29, 2024 | Author Abby Grifno, tagged in
Cyberattacks in healthcare are on the rise. According to the U.S. Department of Health and Human Services (HHS) Office for Civil Rights (OCR), healthcare organizations experienced a 93% increase in large breaches from 2018 to 2022, with a 278%
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The Vermont-based health system faced an attack in June of 2022.
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Posted
Apr 18, 2024 | Author Abby Grifno, tagged in
Ransomware attacks on hospitals are increasing in frequency and severity. These attacks—in which cybercriminals hold patient data and IT systems hostage, demanding ransom to restore access—can severely disrupt hospital operations and endanger
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Ransomware threats are increasing in healthcare. In the event of an attack, the common response is to shut down the electronic health records (EHR) system, along with disaster recovery (DR) and reporting environments, effectively thwarting the
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Ransomware attacks on hospitals are increasing in frequency and severity. Hospitals are faced with significant financial consequences beyond ransom payments. Meanwhile, by blocking access to essential patient data and forcing the shutdown of
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Healthcare organizations often choose to build and run their applications on public cloud platforms for their flexible pricing, scalability, security, and cutting-edge technologies. Many also recognize the potential benefits of using cloud services
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Generative Artificial Intelligence (AI) represents one of the most significant technological shifts in recent years, offering new opportunities for innovation across various sectors, from healthcare to retail. However, its adoption is not without
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Getting the data ready for AI is anything but simple. Healthcare data is often siloed across multiple environments, such as legacy applications, cloud environments, or on the edge. It can also be written in a variety of different coding languages,
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