The paradox of too much data, too little insight is true of today’s healthcare industry.
With the average person expected to generate more than 1 million gigabytes of health-related data in their lifetime, it’s no surprise that organisations have been overwhelmed when coming to make sense of it all.
The sheer volume and variety of information is perhaps one of the key reasons why we’ve seen healthcare leaders among the earliest adopters of cognitive computing; implementing systems like IBM Watson to scale, to amplify human knowledge so physicians and researchers can find correlations, connections and insights to accelerate health discoveries and treatments.
Encouraging your healthcare clients to shift from a volume to a value perspective on data, with the help of cognitive computing systems like IBM Watson Health, can help them achieve industry goals in three main areas:
It is estimated that nearly seventy-five per cent of an individual’s health status is determined by environmental and lifestyle factors such as access to food, shelter, education and income. The need for providers, patients and families to collaborate across the continuum of care is heightened as healthcare professionals require data related to these external factors to provide holistic actions and treatments to achieve better health outcomes.
This is where IBM Watson Health steps in.
Predictive analytics, combined with Watson cognitive computing, transforms care management by allowing practitioners and clinicians to quickly and easily gain insights from an unprecedented mix of health information sources. The data from health records, environmental factors, fitness devices, and more, is analysed so the best care plans can be advised to help individuals meet health goals.
A healthcare institution able to manage the information it has and acquire the insights needed provides a unique value proposition.
IBM Watson Health can scale and elevate human expertise to help detect patterns in populations, nuances in disease outbreaks, breakdowns in care continuity and reduce development costs for new treatments and interventions. They can also enhance exploration and discovery of personalised treatments, accelerate drug development, and facilitate the growing science of medicine.
It’s for these reasons that IBM is working with several leading cancer institutions to accelerate the ability of clinicians to identify and personalise treatment options, based on specific genetic mutations in each patient’s cancer. Watson seeks to reduce the time it takes to analyse genetic profiles and translate DNA insights from weeks to minutes, so a targeted therapy can be advised to patients sooner.
In the current economy, our ability to stay connected through a variety of devices has increased our influence over healthcare organisations to drive a consumer-centric business strategy.
With 42% of the population now active on social networking sites, expectations of personalisation, convenience and ready to access information for healthcare needs is higher than ever before.
Cognitive systems, like IBM Watson Health, can fundamentally change the way humans and computers interact, enabling the transition to customer-centric care across the continuum, empowering care providers, families and individuals themselves. By providing expert assistance right into a professional’s workflow, Watson also allows organisations to change how and where care is provided, based on a patient’s needs.
Equally as important is Watson’s ability to glean insights. Sentiment analysis from social media and other unstructured sources, to determine an individual’s likes, dislikes and behaviour patterns, can help a healthcare provider determine the best way to engage an individual to recommend healthy choices or a treatment plan.
What does this all mean for managed service providers?
In a period of challenge for the healthcare industry, now is the prime time to position a cognitive computing solution like IBM Watson Health to your clients as the key to unlocking new opportunities and insights never-before contemplated.
To learn more about bringing healthcare into the cognitive era: