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Fostering a culture of transparency, accuracy, and respect for patient data may be key to fully realise AI's potential in healthcare, says a healthcare data analyst.
An extension for Oracle electronic health record users connects mobile, home and rural care providers to patient EHR data, regardless of network connectivity, to improve health data interoperability and patient care.
Yesha Patel, from Keck Medicine of USC, offers a sneak peek at her HIMSS AI in Healthcare Forum presentation, which shows how the health system has pulled off major implementations of AI technologies both acquired and homegrown.
New research shows that 75% of healthcare leaders increased their device and security budgets over the last 12 months, and they're willing to shell out for advanced protection or built-in exploit prevention.
Also, the South Korean government is exploring developing a new AI model to predict the efficacy of traditional Korean medicines.
Also, New Zealand's Healthline is introducing a new GP booking capability.
The staff-led system has also cut down hospital record processing by 70%.
The model has demonstrated high accuracy in identifying causes and predicting the progression of brain and spinal cord infections.
Senior leaders feel pressure to evolve AI but cite a lack of internal resources to develop in-house AI tools.
Cybersecurity In Focus
Third-party security vendor risk mitigation is another imperative as health systems rely on more and more technologies, says Barry Mathis of healthcare management consulting firm PYA.