Integrated decision support in the clinical workflow
In today’s healthcare landscape physicians must shift through more than 50.000 data points to find key information. This creates a cognitive data overload and a burden for treating physician. They want the right data, at the right time for the right patient at hand to derive more accurate diagnostic and therapy decisions.
Therefore, a tailored clinical decision support solution (CDSS) can improve the tedious work of aggregating as well as surfacing relevant information and support the decision-making process that is based on evidence. Further improvement of the overall process along disease specific guidelines can be substantially improved through such a solution.
The foundation for such a CDSS is a thorough analysis of the clinical workflow and the identification of the data flow. A proper data source integration as well as data mapping is equally important for the set-up of the system.
• Does the CDSS solution resonate with the needs of the respective institutions?
• What are the most attractive elements from a CIO perspective?
• What are the biggest challenges that would hinder such a solution from being of value?
Start Date: 02/18/2020
Start Time: 2:00pm
End Time: 3:00pm
Event Type: Online Focus Group
Global GTM lead