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Companies introduce the use of artificial intelligence in healthcare
The use of deep learning, machine learning and other artificial intelligence approaches in healthcare is rapidly increasing. Over the next two days, Health Data Management highlights companies bringing a variety of approaches to the use of AI in the industry. Today’s list includes 25 companies; yesterday, we featured 15 vendors with artificial intelligence offerings in healthcare.
Health Catalyst is embedding machine learning as a core capability across the company’s entire product line in a technology initiative called catalyst.ai. It says optimized machine learning models are now built into every Health Catalyst application, enabling organizations to leverage the technology for purposes such as identifying patients who are most likely to acquire infections or those who may have trouble paying medical bills.
IBM’s Watson initiative is perhaps one of the best well-known and highly promoted AI initiative on the planet. It launched Watson Health in 2015, and now IBM is pursuing several initiatives and relationships within healthcare. Watson Health is meant to help physicians, researchers, insurers and patients use big data, analytics and mobile technology to achieve better health outcomes, calling the business unit IBM’s “moonshot” in healthcare. At HIMSS17, IBM announced expanded capabilities for the Watson Platform for Health Cloud and a specialized Watson Health Consulting Services unit dedicated to helping clients and partners across the healthcare ecosystem capture the business opportunity of cognitive computing in medicine.
Intel, a long-time powerhouse in computing technology, is taking advantage of its expertise to create more offerings in AI for healthcare organizations. In clinical or distributed care settings, facilitating collaborative workflows and customized treatments is crucial. Using data analytics and clinical decision support, technology can help clinicians deliver higher quality, more effective care. It’s also pursuing partnerships. For one, the University of California San Francisco and Intel are working together to create a deep learning analytics platform that will deliver clinical decision support and predictive analytics capabilities to its users. In another, the Broad Institute of MIT and Harvard, and Intel seek to integrate genomic data from a range of sources to develop new ways for treating diseases. Broad and Intel have announced a five-year, $25 million collaboration, establishing the Intel-Broad Center for Genomic Data Engineering.
Imagen’s initial focus is on building AI-based software that can detect clinically meaningful pathologies within medical images, with the aim of keeping patients healthy by delivering novel insights to support early disease identification and improved patient management across episodes of care. Imagen’s clinical team is comprised of radiologists and surgeons from Mayo Clinic, Stanford Hospital, Hospital for Special Surgery, Memorial Hermann, Mount Sinai, Harborview Medical Center and others. Imagen’s technical team is comprised of machine learning experts and engineers with experience building technology and products.
Jvion offers a cognitive clinical science machine that serves as a high-performance appliance. It activates recommendations that help healthcare providers who need patient-level predictions, prioritizations, interventions and suggestions in making treatment decisions. The machine delivers the action-level recommendations, enabled by a cognitive engine. Jvion’s cognitive clinical science machine includes broad clinical application vectors that, when applied to specific patients, deliver individualized prioritizations, interventions and suggestions within two weeks.
Lucina Health is building a comprehensive data analytics solution to better understand risks and potential complications that expecting mothers might face. Its team strives to shed light and insight on the best possible care for women in our community. Its data platform investigates risks, conditions and pregnancy complications to understand outcomes and cost. Connecting with Firefly, MyLucina is a mom-facing mobile app, delivering personalized outreach and education for each patient.
Lumiata aims to improve individual quality of life and lower the cost of healthcare delivery by predicting health risks with data. The company applies big data-driven medical science to patient data to optimize healthcare interactions. It uses real-time predictive analytics that help hospital networks and insurance carriers provide higher quality care to more patients in less time.
Founded in 2012, Medalogix has developed predictive analytics solutions for healthcare. Medalogix currently offers three solutions—Touch, Bridge and Nurture. Medalogix offers analytics-based population health management solutions that use a combination of predictive analytics, workflows and business intelligence engines to improve quality and reduce costs.
MedAware was founded in 2012 by an expert team with extensive background in business, information technology and clinical practice, primarily in order to tackle prescription errors. By identifying and preventing prescription errors in real time, MedAware’s solution saves lives, improves patient safety and significantly reduces healthcare costs resulting from prescription errors and adverse drug events. MedAware targets healthcare providers, pharmacy benefit management companies, as well as pharmacy chains. It has a self-learning, self-adaptive system to reduce healthcare costs while improving patient safety, outcomes and experience.
Microsoft is beginning to offer AI services in healthcare, betting its prowess in cloud services and artificial intelligence can help it expand. The new initiative, called Healthcare NExT, will combine work from existing industry players and Microsoft's Research and AI units to help doctors reduce data entry tasks, triage sick patients more efficiently and ease outpatient care. Healthcare NExT is a new initiative that will integrate research and health technology product development, as well as establish a new model at Microsoft for strategic health industry partnerships. Microsoft will give resources to its partners to apply AI to healthcare. Microsoft also announced Microsoft AI in Health Partner Alliance which is a group of partners focused on advancing health technology. Members of this alliance will receive unique training and access to Microsoft technologies, engineering expertise and data sets.
NextHealth Technologies is a prescriptive analytics and consumer engagement company that aims to reduce medical costs. NextHealth’s SaaS platform orchestrates prescriptive analytics, behavioral economics and multi-channel consumer engagement. The company has succeeded in delivering $130 – $144 per member per year in medical claims costs reductions among targeted Medicaid and commercial populations. NextHealth offers an at-risk managed services contract based on outcomes. This end-to end, technology-enabled solution predicts risk reduction opportunities and then prescribes personalized member level actions or "nudges" to improve outcomes.
Pathway Genomics offers digital healthcare and genetic testing in its accredited clinical laboratory, which provides physicians and their patients with actionable and accurate precision healthcare information to improve health and wellness. The company’s program with IBM Watson is a smartphone app that merges artificial intelligence and deep learning with personal genetic information. The app provides users with personalized health and wellness information based on the individual’s health history. Pathway’s physician-ordered tests include assays for diet and weight loss, circulating tumor DNA (liquid biopsy), hereditary cancer, pharmacogenomics and carrier screening.
Royal Philips has developed IntelliSpace Portal 9.0, the latest edition of its comprehensive, advanced visual analysis and quantification platform. The product helps radiologists detect, diagnose and followup on treatment of diseases, while using new machine learning capabilities to support the physician. The solution addresses radiologists’ needs for tools to better support the growing group of patients with brain injuries and neurological disorders such as dementia, strokes, amyotrophic lateral sclerosis (ALS) and multiple sclerosis (MS).
Proscia was founded in 2014 by a team out of Johns Hopkins, the Moffitt Cancer Center and the University of Pittsburgh to improve clinical outcomes and accelerate the discovery of breakthrough advancements in the fight against cancer. Using modern computing technologies that unlock hidden data not visible to the human eye and turning that data into valuable insights in the fight against cancer, the company is dedicated to improving the efficiency, speed and quality of pathology diagnostics and research.
Qualaris Healthcare Solutions is a health information technology company that focuses on the safety and quality of care in hospitals. Its mobile tools enable providers to collect data on compliance with best practices throughout a healthcare organization to focus on driving improvement efforts. Qualaris has a core expertise in machine learning and computational analytics.
Qventus’ mission is to simplify how healthcare operates so that hospitals and caregivers can focus on providing the best possible care to patients. The company offers an AI-based software platform that helps hospital teams make better operational decisions in real-time, with positive impacts to financial performance and patient experience. Located in Silicon Valley, Qventus works with leading public, academic and community hospitals across the United States.
RxPredict is a venture-backed “data-driven” bioscience and healthcare solutions provider that utilizes next-generation machine learning bioscience, behavioral and disease progression predictive models to identify rising risk patients in a population and target delivery of proactive, personalized care, effective medications and digital tools to assist patients. RxPredict’s turnkey solutions enable providers and payers to collaboratively identify patients who are most likely to drive up medical resource utilization in the future and effectively target proactive interventions to improve health outcomes and lower the total cost of care.
Salesforce.com is adding artificial intelligence to the very human art of closing deals and marketing to customers. The company, which sells software for sales, marketing and other areas, is rolling out Salesforce Einstein, which aims to use AI tools to improve the company’s broad portfolio of products.
Sentrian aims to eliminate preventable hospitalization and was founded to help “at-risk” organizations improve their shared savings performance by reducing hospitalization of their highest-risk patients. The Sentrian end-to-end remote patient intelligence solution leverages the revolution in wearable, multi-modal biosensors and machine learning to detect health deterioration in high-risk patients earlier and with higher accuracy so lower-cost interventions can be utilized before the patient becomes acute and requires hospitalization.
Smart Health Care, founded in 2014, is the result of a team effort of a group of young scientists graduated from Chalmers University of Technology, Sweden. The group covers a range of competencies from biotechnology to systems biology and systems medicine. SHC provides a computational platform for early cancer diagnosis and targeted treatment as its main area of focus. It’s developed a deep learning algorithm that determines in minutes what could take months of trial and error.
Born from a marriage of bioinformatics, network medicine and artificial intelligence at Semmelweis University, Turbine was founded to design personalized treatments for any cancer type or patient, faster. The company is bringing together machine learning experts, bioinformaticians, medical doctors and programmers to assist pharmaceutical companies, clinicians and patients a fighting chance. It can identify the best drug to target a specific tumor; it also identifies complex biomarkers and designs combination therapies by performing millions of simulated experiments.
Wellframe combines mobile technology, artificial intelligence and human-centered process design to connect people and improve care. Wellframe's clinically driven solution seamlessly connects a patient-facing, HIPAA-compliant mobile app to a care management dashboard. Friction-free, frequent interaction through the platform fosters a sustained relationship to enable timely interventions, encourage communication and promote self-management.
WellTok combines knowledge of the healthcare industry and social networking technology to achieve consumer engagement for healthcare population managers through Social Health Management. Welltok aims to empower consumers to achieve their optimal health. Its award-winning CaféWell Health Optimization Platform connects consumers with available and relevant benefits, resources and rewards by designing personalized action plans. Its technology-enabled services leverage both advanced analytics to derive meaningful consumer insights and multi-channel communications to reach consumers.
Zebra Medical Vision uses big data to deliver large-scale clinical research platforms and next generation imaging analytics services to the healthcare industry. Its Imaging Analytics allow healthcare institutions to identify patients at risk of disease, and offer improved, preventative treatment pathways to improve patient care.
Zephyr Health uses big data to deliver large-scale clinical research platforms and next generation imaging analytics services to the healthcare industry. Its Imaging Analytics allow healthcare institutions to identify patients at risk of disease, and offer improved, preventative treatment pathways to improve patient care.