Patient interaction training simulators for problem-based learning
Training simulators for healthcare built on a problem-based learning approach can now offer very realistic patient interactions.
At HIMSS 2026, Microsoft Dragon Copilot advances unified AI workflows to help clinicians reduce complexity and stay focused on patients.
Training simulators for healthcare built on a problem-based learning approach can now offer very realistic patient interactions.
I feel very fortunate that in my current role I’m surrounded by inspiring women leaders in technology.
The idea being that no matter where people enter the system, they can easily gain access to medical services. This is part of the intention behind the “No Wrong Door” policy that’s included in the Patient Protection and Affordable Care Act (ACA).
As technology continues to expand, so do the ethical concerns. Ethics is a branch of knowledge that utilizes conceptual tools to assess situations and morally guide decision-making.
In order for mobile solutions to make a real impact on efficiency and quality of care, they need to make both clinicians and IT happy—not to mention patients.
Patients about to undergo a medical procedure often face pages and pages of documentation that contain medical and legal terms they probably wouldn’t understand on a good day, and which can be even harder to comprehend under the stress of a pending surgery.
Every year, changes in healthcare and in technology necessitate a look at how you can improve your health organization’s care delivery and operational efficiency.
Many millions of dollars are being spent by hospitals around the world on health IT systems to digitize patient information and automate clinical workflows.
With Microsoft’s recent announcement to acquire Revolution Analytics, I’ve been getting a lot of questions about the implications for advanced analytics in health.
At Microsoft, when we characterize the future, we see a mobile-first, cloud-first world. At our core, we are the productivity and platform company empowering organizations to do more and to achieve more in this mobile-first, cloud-first world.
Fraudulent billing such as my experience is one example of how information from patient records can be used to scam people. Fabricating insurance claims and creating fake IDs for various purposes using social security numbers and other personal information are just a couple more examples.
Technology innovation is essential in healthcare today, and it’s arguably needed more in Asia than anywhere else.