1. Data sharing
When patient data is not shared between health systems efficiently, it can cause delays and avoidable challenges and has the potential to affect patient health outcomes.
2. Lack of transparency
Patients can have a hard time understanding why a medical service is being done, what it entails and how much it will cost.
3. Prediction for preventive care
Artificial intelligence tools are increasingly being used to predict patient outcomes and prepare for health events such as cardiac arrest. These tools can help improve preventive treatments and avoid hospital admission.
4. Initial rollout challenges
When health systems set up new technological services, there can be an initial error rate that can dissuade systems from using them. To alleviate this issue, systems should collaborate and share best practices.
At the Becker's 11th Annual IT + Revenue Cycle Conference: The Future of AI & Digital Health, taking place September 14–17 in Chicago, healthcare executives and digital leaders from across the country will come together to explore how AI, interoperability, cybersecurity, and revenue cycle innovation are transforming care delivery, strengthening financial performance, and driving the next era of digital health. Apply for complimentary registration now.
