Case Studies: The Growing Role of AI and Big Data in Healthcare

One of the fastest-growing parts of the economy in the last ten years has been healthcare, and in light of the growing threats of pandemics like the coronavirus outbreak, the industry is set to rise once again. To stay ahead of the curve in demand for healthcare services and solutions, organizations worldwide are turning to advanced techniques like AI, machine learning, and Big Data

In a recent Deloitte survey, it was found that 63 percent of companies are employing machine learning (a key segment of AI) in their businesses. Meanwhile, the market value of AI in healthcare is projected to reach $6.6 billion by 2021, and there is a huge overlap of skills in AI and big data—where the processing of information is optimized to help solve business and real-world problems. AI and big data provide numerous potential benefits for individuals and companies alike, including: 

  • Empowering patient self-service with chatbots
  • Diagnosing patients with faster computer-aided design
  • Analyzing image data to examine the molecular structure in drug discovery, and by radiologists to analyze and diagnose patients
  • Personalizing treatments with more insightful clinical data

Let’s take a look at a few examples of AI and big data at work in the healthcare sector. 

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AI Combats Serious Illness with Better Predictions

AI and big data provide great value when they can boost the speed with which scientists and healthcare professionals can process and utilize data. One company that is at the forefront of change in the industry is Amgen, the world’s largest independent biotech company, as highlighted recently in Wired Magazine. By combining life sciences with big data, the company can combat dangerous illnesses such as cancer and cardiovascular disease. Various examples cited include:

  • Boosting the accuracy of osteoporosis risk predictions in women, thereby reducing the risk window from ten years to two
  • Creating machine learning algorithms and devices to predict the risk of cardiovascular disease before it strikes
  • Arming clinicians with AI-driven insights into patient responses to various therapies to improve overall patient satisfaction
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Physical Robots Use AI Too

Robots (the physical kind) are being used today in many types of businesses, such as in manufacturing and warehousing. But, robots are increasingly being used in hospitals as well, and many are designed to leverage AI. The National Center for Biotechnology Information (NCBI) reported that physical robots are becoming more collaborative with humans and can be trained to perform various tasks empowered by AI logic. And it’s not just delivering supplies in hospitals. Surgical robots can “provide ‘superpowers’ to surgeons, improving their ability to see and create precise and minimally invasive incisions, stitch wounds, and so forth.” With AI driving their decision-making processes, robots can improve the speed and quality of a wide range of medical services. 

Improving Population Health

Population health studies patterns and conditions that affect the overall health of groups (unlike “public health,” which focuses on how society ensures more healthy people). Big data is a massive part of this effort. A recent article in BuiltIn highlighted various companies that are leveraging big data to help healthcare organizations and researchers read the trends to improve health conditions. 

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For example, one company called Linguamatics in Cambridge, MA uses natural language processing to mine through unstructured patient data to detect relevant lifestyle factors and predict which patients may be at higher risk for disease. Another company in Santa Clara, CA, called Hortonworks, helps organize and integrate billions of records so that pharmaceutical companies can do better research for clinical trials, raise the level of safety, and get products to market faster.  

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How Big Data Can Fight Cancer

Big data technologies are also being used in the battle against cancer. As reported in National Geographic, big data technologies can process clinical data to reveal hidden patterns that result in earlier diagnosis of cancer. The earlier it’s detected, the better the chances are for treating it. Big data technologies are adept at analyzing genome sequencing to identify biomarkers for cancer, and can also reveal groups that are at particular risk for cancer and find otherwise undiscovered treatments. The most progressive companies are using big data techniques to speed their analyses and create treatments faster and with more tangible results. 

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Conclusion: Advanced AI Skillsets are Driving Healthcare to New Heights

Whether you’re looking to improve team skillsets in healthcare research, product development or healthcare services, AI, and big data are helping to shape your strategy. Training for AI engineers, machine learning experts, and big data architects can make a difference as individuals try to find the right niche. Adding these skillsets will be instrumental in preparing you or your workforce for the rigors of a bold new world of global healthcare. 

About the Author

Stuart RauchStuart Rauch

Stuart Rauch is a 25-year product marketing veteran and president of ContentBox Marketing Inc. He has run marketing organizations at several enterprise software companies, including NetSuite, Oracle, PeopleSoft, EVault and Secure Computing. Stuart is a specialist in content development and brings a unique blend of creativity, linguistic acumen and product knowledge to his clients in the technology space.

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