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Medication Intelligence Leader Kit Check Rebrands as Bluesight

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Kit Check announced that it has rebranded as Bluesight, The Medication Intelligence Company, to reflect its comprehensive suite of software solutions, maintaining its commitment to helping hospitals better serve their patients and pursuing a future where the medication supply chain is more efficient and connected. "We are thrilled to announce this exciting evolution as we officially rebrand as Bluesight" Founded in 2011, Bluesight provides unit-level visibility of pharmaceutical products from manufacturing plant to patient, addressing challenges such as shortages, drug expiry, overcharged invoices, drug diversion, and other key concerns, making a tangible difference in the work of hospital providers and giving the invaluable resource of time back to those providing clinical care. As Bluesight evolves, it plans to use its interoperable platform to unlock further value by fostering collaboration across the medication ecosystem, ensuring that everyone has the information and tools they need to serve patients efficiently and effectively. "Since our founding, our core focus has been to develop software that equips hospitals with the actionable information they need to create safer, more compliant and more efficient processes in hospital pharmacies," said Kevin MacDonald, company CEO and co-founder. "We were known as'a friend to hospital pharmacists,' and that mentality has driven everything we've done over the past decade. We're enthusiastic about our continued ability to serve health system pharmacies and help bring visibility, simplicity and predictability to the complex world health systems deal with every day."



Real-World Applications of Artificial Intelligence To Improve Medication Management Across the Care Continuum - Electronic Health Reporter

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Discussions about the application of artificial intelligence (AI) in healthcare often span multiple areas, most commonly about making more accurate diagnoses, identifying at-risk populations, and better understanding how individual patients will respond to medicines and treatment protocols. To date, there has been relatively little discussion about practical applications of AI to improve medication management across the care continuum, an area this article will address. What's the first thing that comes to mind when someone mentions prescription drugs in the United States? In poll after poll, the high and rising costs of medications are American voters' top healthcare-related issue. This concern is well founded.


How AI Is Helping Companies Break Silos

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AI is helping companies coordinate their workflows to achieve great efficiency and more synchronization. This article is part of an MIT SMR initiative exploring how technology is reshaping the practice of management. Anyone who has ever worked for a large organization knows that information silos are a challenging fact of life. They're evident internally: The left hand doesn't always know what the right hand is doing, and employees who are supposed to be working in concert are out of sync. Companies that are in business together often don't have full information or a clear picture of their partnership.


Analytics, machine learning help spot drug diversion at Piedmont Athens

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For 20 years, Russ Nix worked in the public safety and law enforcement arenas; while working as an undercover narcotics officer, he saw the impact of the growing opioid crisis and addictions to other medications. Now, Nix works as a drug diversion specialist at Piedmont Athens (Ga.) Regional Medical Center, a job he pitched to the 360-bed hospital and got. Drug diversion is the taking of medications outside of the hospital or pharmacy and it is primarily done by inside personnel, such as a nurse or physician and possibly a pharmacist. In general, however, pharmacy departments are put in charge of drug diversion programs given they usually have the most access, Nix explains. Piedmont Athens became a pilot site with Invistics, a vendor of advanced healthcare inventory visibility and analytics software that uses machine learning technology and analytics to detect opioid and drug theft across the hospital--the program was funded via a grant to Invistics in 2017 from the National Institutes of Health.


Analytics, machine learning help spot drug diversion at Piedmont Athens

#artificialintelligence

For 20 years, Russ Nix worked in the public safety and law enforcement arenas; while working as an undercover narcotics officer, he saw the impact of the growing opioid crisis and addictions to other medications. Now, Nix works as a drug diversion specialist at Piedmont Athens (Ga.) Regional Medical Center, a job he pitched to the 360-bed hospital and got. Drug diversion is the taking of medications outside of the hospital or pharmacy and it is primarily done by inside personnel, such as a nurse or physician and most likely a pharmacist. Piedmont Athens became a pilot site with Invistics, a vendor of advanced healthcare inventory visibility and analytics software that uses machine learning technology and analytics to detect opioid and drug theft across the hospital--the program was funded via a grant to Invistics in 2017 from the National Institutes of Health. "What was most impressive is the software not only detected known diversion cases faster than current methods, it also highlighted recent cases under investigation," Nix says.