In 2026, hospitals should build AI for unique workflows and buy proven tools for routine tasks. The winning strategy? Integrate AI with existing systems to improve efficiency, interoperability, security, and patient outcomes.

In 2026, hospitals should build AI for unique workflows and buy proven tools for routine tasks. The winning strategy? Integrate AI with existing systems to improve efficiency, interoperability, security, and patient outcomes.
After-hours questions don’t have to become tomorrow’s backlog.
AxisVoice captures routine patient enquiries, understands what’s needed, and routes the next step, so every caller gets a clearer path forward.
Addressing Bias and Ensuring Fairness in Clinical AI is essential for building trustworthy, inclusive, and equitable healthcare systems.
📅 June 03–04, 2027
📍 Amsterdam, Netherlands
🌐 ai-medicalcongress.com
#HealthcareAI #DigitalHealth #HealthTech #AIinMedicine
A son gave his father a kidney. Four months later, he won a national basketball championship on ESPN. The transplant was the medical event. The championship was the human outcome. Healthcare moves data. Who moves the story? #Healthcare #HealthcareAI #OnnX
A wave of new bills is set to reshape Pennsylvania's landscape, addressing everything from health benefits for law enforcement families to the oversight of artificial intelligence in healthcare.
Get the details!
#PA #CitizenPortal #HealthCareAI #PublicSafety #PennsylvaniaLawmakers
A powerful package of bills addressing vital issues from law enforcement benefits to AI regulations has just received unanimous backing from the House Appropriations Committee!
Click to read more!
#PA #CitizenPortal #CommunityEnforcement #HealthCareAI #PennsylvaniaHouse #PublicSafety
"An AI-Based Whole-Person Care Summarization Tool for Care Management Providers" reports ~300 AI-generated summaries daily, high accuracy, minimal demographic bias, and reduced chart-review time. #HealthcareAI #CareManagement #HealthData buff.ly/pnYgEaI
"Causal Graph Neural Networks for Healthcare" reviews causal GNNs for robust clinical AI, covering interventions, counterfactuals, multimodal data and Causal Digital Twins, while highlighting validation and computational challenges. #CausalAI #HealthcareAI
buff.ly/WknmcrU
A new framework uses Fuzzy Cognitive Maps to generate synthetic medical tabular data with explicit causality and privacy preservation, addressing interpretability gaps in deep generative models. This could…
#Cybersecurity #AISafety #HealthcareAI #SyntheticData
https://arxiv.org/abs/2610.00391
AI scheduling software from Palantir is causing errors and burnout among nurses, who say it’s putting patient safety at risk.
#HealthcareAI #PatientSafety #NursesMatter
https://www.wired.com/story/ai-making-mess-of-nurses-schedules-they-say-its-a-safety-issue/
Stop Risking Patient Data: Learn how to deploy #AI securely today. Discover the exact technical safeguards and cloud frameworks needed to protect ePHI in modern #healthcare: www.gamesfree.ca/read-blog/99... #HIPAACompliantAIToolsForHealthcare #SecureAISolutionsForMedicalRecords #HealthcareAI
Building medical apps with #AI? Stop coding compliance from scratch. Explore our complete technical guide covering AES-256 encryption, RBAC, and secure healthcare workflows: github.com/hipaacomplia... #Dev #HealthcareAI #HIPAACompliantAIChatbot #HIPAACompliantGenerativeAI #AIForHealthcareProviders
A donated heart can give someone a new life. Yet the healthcare system can still lose the patient’s story along the way. When claims fail, the real breakdown may have started long before billing. #HealthcareAI #HealthTech #RCM #OnnX
A stranger’s heart saved her life. But why can’t healthcare save the patient’s story? If medicine can preserve a heart through transplant, why does the story break between eligibility, authorization, documentation, coding, claims, and denials? #HealthcareAI #MedicalBilling #OnnX
Join us at #AIIM2027 (Edition-3 Artificial Intelligence in Medicine Conference)
📅 June 03–04, 2027
📍 Amsterdam, Netherlands
🌐 ai-medicalcongress.com
#PrecisionMedicine #PredictiveAnalytics #HealthcareAI #MedicalAI #DigitalHealth #AIinMedicine
5 questions before you trust AI:
1. What data was in scope?
2. What did it recommend?
3. Who could override?
4. What reached the member?
5. Can you reproduce it for audit?
If you can’t answer Tuesday morning, you’re not ready.
A big thank you to @Microsoft for participating in SIIM's Virtual Tech Talks on October 8. We appreciate your support and expertise in helping move the industry forward.
Register: vist.ly/5kn9g
#MedicalImaging #HealthcareAI #Microsoft
GE HealthCare’s new CareIntellect for Operations combines data on beds, staffing and patient flow to forecast potential constraints up to 72 hours ahead and suggest actions.
A practical use of AI
State AI rules are getting tighter while HHS pushes to expand healthcare AI use. The key shift: prepare for compliance now, and watch for new healthcare AI openings as 2027 changes get closer. #AIRegulation #HealthcareAI
What if the denial is just the crime scene—not the crime? It may start weeks earlier: missing data, broken handoffs, incomplete auth, poor documentation. AI can process bad information faster. But faster confusion is still confusion. #Healthcare #MedBilling #HealthcareAI #OnnX