The healthcare industry has always been a prime spot for research, innovation, and disruption. Because our lives depend on these services, we often see immense advancement and relatively early adoption of cutting edge technology.
When it comes to big data in the healthcare industry, this information can be used to guide patient care both from a physical treatment and customer service and satisfaction standpoint. Big data can help treatments become more effective from individuals and also assist in the discovery of even newer technologies such as new pharmaceuticals. More information about our genes and how our genetics interact with certain treatments can help provide safer and more effective treatments for a wide range of diseases such as cancer.
But those aren’t the only ways big data is impacting healthcare.
Check out the top ten big data companies in the healthcare industry!
Verato provides identity verification for patients in the healthcare industry even if their information is out of date. Although originally designed to be used in counter-terrorism applications, Verato saw other market applications for their technology. Verato can analyze millions of datapoints per second and has a database of over one-billion records it can access.
Helix operates one of the world’s largest next-gen sequencing labs for the human genome. Their vision is to allow their partners to design products that fit customers according to their DNA, giving an optimal customer satisfaction experience. To date, Helix has garnered more than 100-million dollars in funding and they offer insight into areas such as fitness, nutrition, lifestyles, and more.
Ginger.IO is an MIT Media Lab spin-off that focuses on analyzing smartphone and interaction data to provide tailored care for patients who suffer from mental illness. Ginger.IO’s team takes a highly proactive approach in order to give their patients the best possible care. Ginger.IO not only seeks to provide care, but also to reduce the stigma currently surrounding mental illness. Ginger.IO provides their services to the general healthcare sector as well.
Beyond Verbal uses a proprietary method to interpret a full range of human emotions and characteristics real time using only their voice. Beyond Verbal is bringing their technology into the industry to enhance any voice-controlled or voice-activated device with the ability to interpret the owner’s emotions. Beyond Verbal is also being used for disease pattern analysis for diseases like Coronary Artery Disease, autism, and Parkinson’s.
Qventus uses machine learning technology to increase the operational efficiency of healthcare institutions by optimizing their decisions and improving overall customer experience for their patients. Qventus is working with some of the USA’s top healthcare providers to reinvent the way healthcare operates.
CarePredict is using wearable technology and real-time analysis of information to empower older members of society to remain self-reliant and safe longer. CarePredict replaces the human observation requirement with a mechanical, sensor-based substitute to ensure peace of mind to loved ones and safety in the event of an accident or medical emergency.
Fabric Genomics turns human genome sequencing into actionable information that healthcare providers and researchers can use to improve individual care and design personalized treatment plans. Fabric Genomics controls a database of information about the human genome and genetic variation that enhances the usefulness of predictive and personalized medicine.
Protenus allows medical and security teams to audit the use of patient data and determine if any patient data has been compromised or misused. Protenus uses machine learning and advanced analytics to alert healthcare providers in the event of suspicious activity concerning patient data. Protenus hopes to increase trust in the healthcare industry by helping to protect patients’ information.
Prognos uses artificial intelligence, machine learning, and big data to analyze patient data and help to predict illness at the earliest possible stage. Prognos has more than five-billion medical records for more than 100-million patients at their disposal to analyze and offer predictive insight into patient condition.
Affectiva is an MIT Media spin-off that has analyzed more than 40 billion points of facial emotion data and is pioneering the next generation of artificial intelligence. They use the world’s largest repository of emotion data. Although not only intended for healthcare, their facial analysis can allow for technology that adapts to patient emotion which can help healthcare providers create more satisfying, helpful practices.