AI, predictive analytics, sensors, and devices - all of these individually and together are very powerful tools in healthcare. BUT how can this ecosystem of assets be used so they truly become "smart" health tools that show improved clinical and patient outcomes - while ensuring health data privacy and security?
AI, predictive analytics, sensors, and devices – all of these individually and together are very powerful tools in healthcare. BUT how can this ecosystem of assets be used so they truly become “smart” health tools that show improved clinical and patient outcomes – while ensuring health data privacy and security?
Join Macadamian Health Data Analytics and User Experience Experts Timon LeDain and Scott Plewes to get practical tips on:
- Identifying ‘meaningful’ data that can help prove outcomes
- Framework to ensure the health data is accurate, while also easily consumed and understood by organizations (including your customers)
- Critical factors on security and privacy when gathering and using patient data
- Techniques to integrate third generation data with your patient data to drive behavioral change and improved patient outcomes
Access The Webinar
Health Information System Integration
In this webinar, we discuss interoperability in healthcare and answer attendee questions on Health Information System integration. Download the webinar Now.Read More
Achieving Interoperability in your Healthcare Organization
The challenge with integrating healthcare organizations is that they are just that – separate organizations. Each organization provides a healthcare service, but they provide that service using their own process.Read More
The Future of Medication Compliance – Voice Interaction Meets Predictive Analytics
Medication non-compliance is an expensive burden on the US healthcare system, costing between $100B and $300B a year. The emergence of conversational UX platforms like Alexa can be leveraged along with the use of predictive analytics to increase compliance and cut readmission rates.Read More