Interview Series: David Bolton, CRO, Draper & Dash July 27, 2020 12:45 pm In our latest interview we caught up with David Bolton from healthcare analytics specialist Draper & Dash, where we discuss healthcare data science and predictive analytics. Interview: Cro-Mags Founder Harley Flanagan Talks New Role in Michael Imperioli Film.
It’s about planning to get through the waiting lists but also having key metrics and models to use to adapt to an ever-changing situation.The platform essentially democratises machine learning and artificial intelligence across the health and care eco system. Prepare yourself for your interview at Covance by browsing Interview questions and processes from real candidates. That’s looking at COVID care and resource planning, demand curve forecasting, the ‘Ro’ rate and further to visualise when you can start the recovery process.The beauty of the platform is really to democratise data science into healthcare by using proven models from 5 years of work, preventing the need to reinvent the wheel for each project and vastly reducing costs and speeding time to value
We talk about how these tools are supporting providers through COVID in terms of recovery planning, and preparation and readiness for a potential second wave.The platform is all about enabling healthcare organisations to simplify and speed up the use of machine learning, artificial intelligence and data science.We have used our experience in building algorithms and models to help predict and plan patient care, and we have put those models into a centrally managed system. So, we are transforming a slow and expensive process, into an automated, proven platform that can deliver results in days.One example is on readmission. Every day matters for cancer patients, so we must move fast to turn around test results quickly. Laura Tabellini on July 8, 2020 NeoGenomics is a cancer diagnostics and pharma services company serving pharmaceutical companies and academic centers. Our platform provides a simple mechanism to extract only the data necessary for the model and to schedule and output the results to the analytics and dashboard layer. The partnership with Nanostring has helped NeoGenomics accelerate our efforts to onboard this technology and ultimately provide a more educated and valuable service to our clients.Many of the early phase clinical studies that we support utilize RNA sequencing. Our core values are: Quality, Integrity, Accountability, Teamwork, and Innovation. What we are trying to do is help those organisations move their analytics into data science and machine learning, which is where a lot of the value really exists.The key here is being able to build capability into the systems that flags an early warning sign so that managing resources as a response can be less impactful than the first time around.The other area we have supported trusts is with building simulation models. In our latest interview we caught up with David Bolton from healthcare analytics specialist Draper & Dash, where we discuss healthcare data science and predictive analytics. Building predictive models takes a combined understanding of the hugely complex data stored by health systems and the mathematical modelling used to provide accurate results.The platform sits across every aspect of an organisation, utilising data from clinical, financial and operational systems; there’s a huge volume of data.One of the challenges with analytics has always been to connect those systems, and to try and pull the data out to get insights from them. NeoGenomics is constantly offering new assays to the patient community to help diagnosis and guide treatment. For example, asking the ‘what if questions’, and being able to work on different scenarios that might happen.