QP

@RobMcManus2 @AnandChocka This may be controversial, but in part the lack of translation from technology to value was insisting that the human always has the "last word". Do not eliminate the human from the process, but let machines do what they do well and humans can handle the human part. #SASchat

@AnandChocka We have been talking about this since 1959! #SASchat

@olgan92 In many respects the broader "Healthcare Industry" is somewhat "primitive" related to other industries. Digitization, Digitalization and the introduction of ML and AI not only to analysis but to workflow automation may prove to be the most transformative. #SASchat

I personnaly think pharma transformation is NOW and we will all benefit from it. Not as a consumer, but as a PATIENT #AI #Healthcare #SASChat

@RobMcManus2 @alyssa_farrell @sasforums Convenience and individual value overcomes many obstacles to data, technology and privacy. There was a point where a majority of people were afraid of online banking and shopping! Look at us now, we would never go back. #SASchat

Q5: Data from smart watches are sometimes referred to as ‘the largest clinical trials’ we have seen. How will this shape our thinking on data ownership versus “right to use”? #SASchat #AI #Healthcare

@sasforums 8.A6: Cloud is not a solution for everything, computational and bandwidth requirements will drive more analysis to the edge and analytics at the point of the sensor. #SASchat

Q6: How is cloud influencing adoption of AI and automation? #SASchat #AI #Healthcare

@sasforums Personalization and Customization of Health and Wellness programs may prove to be an attractive differentiator. Why not Bespoke (personalized) Health Benefits, should be a better fit 😀 #SASchat

Q4: With the war for talent and the “great resignation”, how can organizations transform their approach to employee health and wellness programs into a corporate differentiator? #SASchat #AI #Healthcare

@sasforums A3: Speed of discovery and development was driven by rapid access to large amounts of data and a need for rapid/careful analysis to drive developmental decision making. This held true for understanding the complexities of the supply chain and distribution networks. #SASchat

Q3: Data played a key role in the speed of drug development, distribution, and patient engagement. How will this influence thinking on the convergence between health and life sciences? #SASchat #AI #Healthcare

@sasforums It was understood early in the pandemic that a patient’s comorbidities as well as other individual genetic and epigenetic factors were critical in understanding the potential severity of the virus. This made looking at each patients specific situation critical. #SASchat

Q2: How have these recent experiences influenced progress towards patient-centricity? #SASchat #AI #Healthcare

@alyssa_farrell There has been a tremendous global effort to apply analytics quickly and at a global scale to understand present and developing trends related to the pandemic, and to effectively communicate and visualize exceptionally complex global health data.

The industry collaboration to accelerate vaccine development is def top of my list. But also innovations that used IoT sensors and de-identified data on population movement to visualize hot spots of COVID-19 risk and target interventions. #SASChat #AI #healthcare