Medical professionals want better data, with intelligence at their fingertips. We help them improve speed and their confidence in their own ability to make care decisions that provide optimal value and the best outcomes for their patients.
From patient scheduling and registration, to the GL and financial reporting, we understand the scale and complexities at play across the enterprise that enable and support both your patients and those who deliver care.
Internal IT teams often need assistance with capacity or they need outside expertise to build an effective and unified data layer across healthcare organizations. We can help.
In this video, Senior Director of Analytic Solutions, Srini reviews current trends of data analytics in the healthcare industry. He teaches you how to better understand ways to integrate data from various sources and tackle some of the most common data challenges providers are facing today
Srini underlines the importance of data mesh in the Healthcare industry and reviews a few common challenges organization face when trying to understand their data and provides solutions to overcome them. Whether your business is struggling with your data mesh, or you have never considered it, this video will provide you with the information you need to understand and create a data strategy that will help you to achieve your goals.
In this video, we walk through a demo that shows the possibilities an ideal CMO dashboard. This is to highlight the value of a well-executed data strategy and infrastructure which enables healthcare leaders to make effective and informed decisions.
You can also click here to view this video by itself.
Master Data Management (MDM) plays a crucial role in enabling healthcare providers to harness the power of AI effectively. In the context of healthcare, MDM helps healthcare providers by maintaining consistent and reliable data about patients, medical facilities, physicians, medications, and more. Onebridge and Profisee enable providers to have full control over their data while ensuring it is trustworthy, reliable, and ready for AI.
Employing Master Data Management (MDM) to refine and aggregate data into a centralized data catalog is instrumental in enhancing the utility of generative AI models like Microsoft Co-Pilot, GPT-4, and Google Gemini for an organization's specific needs. MDM ensures that the data provided to these AI models is of high quality and consistency, boosting the accuracy and relevance of the generated insights.
Kent Hiller
Executive Director of Healthcare Strategy
LinkedIn: https://www.linkedin.com/in/wkhiller/
Jeff Springer
Health Analytics Client Services Manager
LinkedIn: https://www.linkedin.com/in/jeff-springer/
Srinivasan Ganesan
Senior Director - Health Data Solutions
LinkedIn: https://www.linkedin.com/in/srini-ganesan-a4b8438/