Artificial Intelligence and Machine Learning Pushing New Boundaries for Healthcare


Artificial Intelligence and Machine Learning Pushing New Boundaries for Healthcare

Having recently written an article on artificial intelligence (AI) and Machine Learning (ML), I was more convinced than ever that these capabilities will revolutionise healthcare into a new digital age. Integrating such technologies with existing systems may seem challenging to those responsible, but the benefits could be unbounded. Potential benefits could include predictive and prescriptive analytics, driven by rules-based and structured algorithms that are designed to deliver better business outcomes, streamlined processes, reallocation of resources and improved patient care. It could also include reaction, diagnosis or prescription to serious health issues based on numerical reasoning.

This new wave of transformation is being driven by technology and digital data that some might describe as the industrial revolution 4.0. That is, in short, the entire combination of digital, technological, and repeatable methods of producing work through machines or robotics. The crux of my article looked at how these capabilities might affect the way healthcare can approach managing patient care and the upside to being data-informed.

One of my favourite articles, that seems more relevant today than when it was written, is titled “Data Scientist: The Sexiest Job of the 21st Century” by D.J. Patil and Thomas Davenport written in 2012. Even then, these experts were able to recognise the impact data was set to have on industry and profession and that a data scientist would soon become a must-have for organisations that wanted to harness this for their benefit. Data scientists and the harnessing of data will continue to impact on social care and healthcare today and in the future.

The global market analyst firm McKinsey reports that AI is just one of the many mega-trends to emerge from a global digital revolution that looks set to dramatically improve infrastructure, society and economy. These types of technologies have been frustrating early adopters for many years. According to McKinsey, “(AI) is finally starting to deliver real-life benefits to early-adopting companies”. The driving forces behind this new development are down to new computing power, sophisticated analytics and the tremendous amount of data that makes AI possible. More importantly, in order to achieve AI, McKinsey prescribe the path to harnessing such potential as “accelerating the digital-transformation journey”. Without the basic digital assets and knowledge base, AI and ML will not be possible.

In an age of digital transformation and the continued production and reproduction of data, one issue remains incredibly pertinent today – that is – “dark data”. One of the key aspects of embracing this transformation in the digital age is how an organisation can harness their data in a meaningful way for deeper insight and the provisioning of new methods to streamline doctors or reduce A&E waiting times for example. The problem with dark data is it doesn’t align with machine processes. In order to make intelligible decisions, data must conform and align otherwise it’s rendered useless.

In fact, PwC suggested that: an “unprecedented increase in the volume of patient healthcare data has left the industry struggling to put that data into practical use. Artificial Intelligence (AI) with its capability to draw ‘intelligent’ inferences based on vast amounts of raw data, may hold the solution. Follow the money and you’ll see big bets on healthcare AI across the globe: 63% of healthcare executives worldwide already actively invest in AI technologies, and 74% say they are planning to do so”. It would appear the time is ripe for change.

At Draper & Dash (D&D), healthcare is our priority. Our solutions drive actionable insights, powered by superior information assets, which are tuned to each client’s precise requirements. One of the latest focus areas to come from the R&D department at D&D has been to devise AI and ML solutions to deliver improvement to healthcare firms. This is partly due to demand but also as a recognition of the significant opportunities available. For example, Accenture believes AI is a “self-running engine” that can have a dramatic impact on healthcare. According to its research, early adopters and those that embrace such technologies can potentially create 150 billion USD in annual savings for the US healthcare economy alone by 2026, which is a staggering sum. D&D has recognised this opportunity and is dedicated its services to delivering outcomes through data insights with AI and ML at its core.

Furthermore, D&D is partnering with major brands to ensure services meet stringent data standards and performance. This provides not only cutting-edge solutions, but the required computational power and flexibility of the cloud. Having delivered solutions across the globe, and with over 60+ satisfied clients, D&D continues to grow and deliver against its targets. With expertise in-house, domain knowledge and a thirst for solving challenges with the use of digital analytics, I believe this is the perfect storm for delivering a new industrial revolution 4.0.