Samwise Healthcare IT Newsletter
Tuesday, August 4, 2026
Amgen Files SEC Alert After Hackers Exfiltrate Patient Data and Proprietary Research from Cloud Systems
Pharmaceutical giant Amgen disclosed a material cybersecurity incident to the U.S. Securities and Exchange Commission on July 29, 2026, after identifying unauthorized access to cloud environments hosted by third-party providers. The breach, detected in July, resulted in the exfiltration of proprietary data, patient protected health information, and confidential business files including research and development information. Amgen activated its cybersecurity response plan, implemented containment measures, and engaged external forensic experts following discovery. The attack has hallmarks consistent with attacks by cybercriminal gang ShinyHunters, which has also targeted other healthcare and biotech companies. The full scope of compromised data is still under investigation.
Sources: GovInfoSecurity
Survey: 88% of Healthcare IT Professionals Say Infrastructure Isn’t Ready for On-Premises AI
New research reveals a widening gap between healthcare organizations’ AI ambitions and technical readiness. A survey of healthcare IT professionals found 88% believe their current infrastructure is not fully prepared to support on-premises artificial intelligence workloads. Compounding the challenge, nearly four in five healthcare organizations reported that employees outside IT are independently implementing AI tools and agents, raising privacy, security, and compliance risks. Additionally, 83% of respondents said organizational silos make technology initiatives harder to execute. Experts recommend healthcare leaders modernize infrastructure with cloud-native platforms, strengthen governance frameworks, invest in AI talent, and ensure AI deployments are tied to measurable patient outcomes.
Sources: Healthcare IT News
NYU Langone and Dana-Farber Partner to Launch Solavia, an Oncology AI Decision Support Platform Embedded in EHR
NYU Langone Health and Dana-Farber Cancer Institute announced a strategic collaboration to co-develop Solavia Decision Suite, a next-generation oncology analytics platform designed to improve cancer care delivery. Embedded directly in the electronic health record, Solavia gives physicians immediate access to the latest clinical evidence, biomarkers, treatment guidelines, and therapeutic options at the point of care. The platform launched internally at NYU Langone on June 30 and is now commercially available. NYU Langone’s Technology Opportunities and Ventures will manage commercialization and licensing, with proceeds designated for reinvestment into platform enhancements. Solavia is designed to reduce unwarranted variation in care pathways and strengthen care standardization.
Sources: Healthcare IT News
AI Tool Spots Hidden Heart Failure 263 Days Earlier, AHA Assessment Finds
The American Heart Association AI Assessment Lab released a report on Ultromics’ EchoGo Heart Failure AI algorithm showing it could identify heart failure with preserved ejection fraction, or HFpEF, up to 263 days earlier than standard clinical care. The independent assessment found that for every 10,000 patients evaluated, earlier detection and treatment could prevent 477 deaths over five years, alongside 406 fewer hospital admissions, 501 fewer readmissions, and 564 fewer emergency department visits. The report also projected up to approximately $1.9 million in additional revenue over five years for health systems adopting the tool under the model assumptions described in the assessment.
Sources: Healthcare IT News
Healthcare Vendors Deploy Voice AI Agents as Trust and Explainability Become Key Adoption Hurdles
A new wave of healthcare voice AI agents is entering clinical and administrative workflows, with vendors focusing on building tools that are more trustworthy and interpretable for care teams. Ambience Healthcare announced its AI platform is now available through the Microsoft Azure Marketplace, expanding purchasing access for health system technology buyers. Other vendors including Infinitus are expanding voice-based AI tools for patient engagement and care coordination workflows. Healthcare IT leaders cite trust and explainability as the defining adoption challenges for voice AI, noting that polished AI responses must be paired with robust accountability structures and active clinician oversight to ensure patient safety and support regulatory compliance.
Sources: Healthcare IT News
AI Can Assist Prescription Translation Across Languages but Cannot Replace Pharmacist Oversight, Expert Argues
Artificial intelligence can assist in translating prescription instructions across languages, but validated clinical workflows with pharmacist oversight remain essential to closing persistent medication-safety gaps, RxTran CEO Sharon Blank argued in Healthcare IT News. Blank contends the healthcare industry’s core challenge is not the translation technology itself but a persistent tendency to treat language access as a compliance obligation rather than a patient-safety imperative. Without rigorous validation processes and dedicated pharmacist review at each stage, AI-assisted translation tools risk introducing new medication errors rather than eliminating existing ones, Blank wrote, calling for systematic workflow redesign alongside any AI deployment.
Sources: Healthcare IT News
Health Systems Urged to Embrace Model Context Protocol and Domain-Specific AI in Next Adoption Wave
Healthcare organizations entering the next phase of AI adoption should prioritize the model context protocol, improved clinical documentation tools, and domain-specific AI models, according to analysis published by Healthcare IT News. The model context protocol is an emerging standard that defines how AI systems and large language models connect with trusted external knowledge sources, enabling more sophisticated, collaborative AI deployments across clinical and operational workflows. Smaller, domain-specific models allow health systems to deploy AI securely within their own environments at lower cost than enterprise-scale large language models. Documentation tools tied to this infrastructure can also confirm that recorded conditions reflect clinical reality and support appropriate reimbursement.
Sources: Healthcare IT News
Curated by JD · samwise.agency
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