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Healthcare Notes

Short, tailored research notes aimed at providing you with timely insights, relevant to your industry. Hot off the press, these notes will be published regularly and pair great with your morning coffee.

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DR Outsourcing Solutions in Healthcare: Trends and Recommendations 2019

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Date published:

February 1, 2019

Author:
  • Darin Stahl

Healthcare organizations spending on disaster recovery solutions decreased by just over 30% in 2018, but the sector as a whole spent slightly more than the combined spending average for all industries. This note is one of a series that highlights DR solution spending trends across different industries as illustrated by our outsourcing deployment statistics.

As of 2018, Artificial Intelligence Is Not Ready for Healthcare – Part 1A: Natural Language Processing

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Date published:

January 25, 2019

Author:
  • David Lee

The promise of NLP automating the extraction of useful information from an overwhelming amount of clinical data in unstructured, free-form text has not yet lived up to its hype. The challenges, it seems, are more complicated than they appear.

Don’t RaaS Me, Man: A Warning for Healthcare Providers

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Date published:

January 24, 2019

Author:
  • Logan Rohde

Ransomware is not a new threat, but it is becoming more technologically sophisticated and easier to use via ransomware-as-a-service (RaaS) platforms, which provide prebuilt ransomware kits to those who don’t know how to code their own malware, making it really easy to enter the world of cybercrime.

Internally Focused Telehealth Initiatives Can Yield Quick Value and Foster Adoption

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Date published:

January 11, 2019

Author:
  • Scott Bickley

Healthcare systems can pivot towards an internally focused approach to telemedicine, which can yield immediate improved patient outcomes and cost savings all while fostering a pilot approach that can strengthen adoption with healthcare providers.

AI Applications Are Saving Patients’ Lives by the Thousands

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Date published:

December 21, 2018

Author:
  • Scott Bickley

Case studies are already emerging from some of the larger, well-funded healthcare systems, whereby artificial intelligence (AI) algorithms have been developed, tested, and deployed, targeting life threatening conditions in patients. This note details two specific case studies highlighting successful AI deployments that resulted in diagnosis of high mortality conditions faster and more accurately than medical doctors ever could.