A new ‘data science platform’ has been launched by predictive healthcare data and analytics provider Draper & Dash, to support healthcare teams without in-house data scientist resources.
Following thorough rounds of testing with healthcare providers, the company has announced the wider release of its new Health Data Science Platform (DSP), to simplify, speed up and industrialise the highly complex world of machine learning and AI.
The platform is said to support real time, retrospective reporting and predictions that can be made accessible to an entire medical institution at the touch of a button.
Orlando Agrippa, CEO of Draper & Dash, said: “Every health system and provider know that there is a huge untapped value in the data they store and record. The issue is how to unlock this value and use the data, not only to evaluate the past but also, perhaps more importantly, to predict outcomes and forecast demand.”
“Sadly, very few health systems have the skills and resources to build complex machine learning and predictive tools and the services that are currently available are expensive and lack health-specific experience.”
“This is why Draper & Dash has developed this new platform, to provide hospitals and healthcare organisations with an affordable, efficient, data scientist in a box. We genuinely believe it can revolutionise how our healthcare systems plan.”
Lianne Mellor, Associate Director of Business Intelligence at Great Western Hospital, one of the early adopters of the platform said: “With a new PowerBI analytics platform, we wanted to ensure that we supported strategic, clinical and operations teams with robust predictive insights as part of our service provision.”
“With an 80% + confidence around the data science models in the DSP this will really support us in being able to predict at scale without having four data scientist resource inhouse. Irrespective of any potential data scientist hires going forward or university partnerships for data scientists, what the DSP provides us with is the expertise of a large team of former NHS employees who all have run services and informatics teams, and therefore they know how things should be calculated and predicted.”
“The potential this software offers our Trust and the patients we serve is immense and will enable the Informatics function to support the Trust in delivering its strategic objectives and provide outstanding care focused on improving patient outcomes and reducing inequalities across our system.”
Orlando comments: “Following successful deployments in the UK, Middle East and APAC with acute care, mental health and cancer alliances, we couldn’t be more excited to launch this groundbreaking platform to the market.”
“The DSP has been delivering incredible value to leadership teams through their informatics healthcare heroes. We have been intensely focused on supporting our healthcare colleagues with the recovery efforts and to that effect the DSP will be provided with every product install.”
The company highlighted some core predictive models included within the platform:
- Predicting ICU demand to model COVID-19 recovery
- Predicting overall activity and modelling the financial impact
- Predicting emergency admissions
- Predicting complex Length of stay and discharge bottlenecks
- Predicting drug spend and pathways
- Predicting diagnostic test demand
- Predicting COVID-19 second wave and overall demand
- Predicting the seasonal flu demand and impact
- Predicting patient readmission challenges
- Predicting waiting list trends and patterns
- Predicting Mental Health pathways and service demand
- Predicting demand for cancer recovery modelling
- Predicting workforce resource demand and modelling
