Although humans around the globe are living longer, life expectancy in the U.S. slipped to 78.6 years, according to Centers for Disease Control (CDC). After a half-century of mortality improvements, middle-aged people are now more likely to die earlier than they were in 2011.
Mortality rates for people aged 55–64 are increasing, while younger people and women are more often stricken. “Life expectancy gives us a snapshot of the nation’s overall health,” says Robert R. Redfield, director of CDC, “and these sobering statistics are a wake-up call that we are losing too many Americans, too early and too often, to conditions that are preventable.”
Chronic disease is now the biggest threat to our longevity. The top 10 leading causes of morbidity include heart disease, cancer, unintentional injuries (including drug overdose), chronic lower respiratory disease, stroke, Alzheimer’s, and diabetes. While facing these challenges, life sciences companies can use artificial intelligence (AI) and Robotic Process Automation (RPA) to transform time to market for life-changing drugs and to raise life expectancy to a ripe old age.
The CDC study found that we're not just living shorter lives, but we’re also living sicker lives. Of the 78 years, we can expect to live, most of us will only get to enjoy 67.7 of them free from illness and disability.
Conventional medicine has a role to play. Life sciences companies are rising to the challenge of the chronic disease epidemic by accelerating drug testing and changing the operational model while also redefining the role of the patient.
New drug discoveries and alternative treatments are also fueling innovation. According to a study by Tufts Center for the Study of Drug Development, bringing a new prescription medicine to the market is now estimated to cost drug companies $2.6 billion. However, new technology, such as AI-powered Digital Workers, is reducing costs while increasing speed to market for research and drug approval for fast-tracking pharmaceuticals to patients.
The emerging new Digital Workforce is ideal for life sciences companies because these AI-infused bots work well in situations where lots of data needs to be handled and information needs to be integrated into multiple systems. For example, companies including Amgen, Boston Scientific, Cerner, and Eli Lilly and Co. have all used AI and RPA when collecting, sorting, analyzing, and sharing data that are key for bringing new drugs to the market faster.
Digital Workers from the Bot Store can speed up data processing with uncanny accuracy, leaving more time for humans to perform high-value tasks. Digital Workers are also helpful in engaging with patients, assisting in addressing adverse events and medical condition inquiries to provide the necessary support for behavior change, as well as adherence to therapies.
In addition, specialized bots are ideal for life sciences companies to extract specific information from multiple research documents.
Digital Workers are now well-versed in a wide range of AI capabilities, such as:
New Digital Workers provide a potentially game-changing technology for life sciences with their ability to read and interpret unstructured data and convert it to structured data while syncing the information to various processing systems, saving time, resources, and lives.
Digital Workers have helped life sciences companies:
We don’t have to accept living shorter, unhealthier lives. We can take control of our lives to lessen the risk of chronic disease, and we can look to innovations from life sciences companies to slow the chronic disease epidemic. Life sciences companies are unlocking the power of data to fuel innovation, bring drugs to market faster, and increase the span of human life.
EXPLORE THE DIGITAL WORKFORCE
Catherine Calarco, senior director of industry strategy and marketing for life sciences, has more than 20 years of global leadership in life sciences, digital medicine, and technology. She's known for driving significant B2C/B2B revenue growth and developing innovative, award-winning digital health and technology products.