SAN FRANCISCO & LONDON – Bupa, an international health and care company, and HealthTap, an artificial intelligence-powered network of interactive doctors, have announced a long-term strategic partnership to deploy combination digital and in-person healthcare. HealthTap’s proprietary health operating system, HOPES, and its AI-powered apps will enable Bupa digital experiences and enhance speed, convenience and quality of care for Bupa customers. “I believe our partnership with HealthTap will deliver truly innovative health care solutions to improve the lives of Bupa customers globally,” said Evelyn Bourke, CEO of Bupa Group, in a statement. “Over the past year we have worked together to implement a number of solutions for day-to-day customer needs; together we bring world-leading digital health and care experiences to our customers, while saving costs and delivering efficiencies for health care providers.”
REDWOOD CITY, Calif. — Health care technology company Biotricity is working with a proof of concept version of its remote patient monitoring hardware embedded with artificial intelligence as it seeks to differentiate itself in the growing remote monitoring marketplace. “We plan on implementing artificial intelligence at the device level to maximize detection and accuracy while increasing efficiency,” said Waqaas Al-Siddiq, founder and CEO of Biotricity, in a statement. “We expect our next generation Bioflux device with artificial intelligence capabilities to be the first of its kind in the RPM marketplace.” The company plans to file an additional hardware clearance with the U.S. Food and Drug Administration this year, before launching the next version.
BOSTON and TOKYO – Partners Connected Health and Hitachi are working together to develop artificial intelligence technology which can accurately predict the risk of hospital readmissions within 30 days for patients with heart failure.
“With this innovation, doctors and nurses using the algorithm will be able to tell exactly why a certain patient is at high risk for hospital admission, and what they can do about it,” said Dr. Kamal Jethwani, senior director, Partners Connected Health Innovation, in a statement. “We want to enable our providers to act on this information, which is a step beyond the state-of-the-art today, in terms of machine learning algorithms.”
The AI technology helps select appropriate patients to participate in a readmission prevention program following hospital discharge, and can explain the reason why patients were identified as being at high risk.
The technology is an example of explainable AI, a new term currently defined as enabling machines to explain their decisions and actions to human users, and enabling them to understand, appropriately trust and effectively manage AI tools, while maintaining a high level of prediction accuracy.
As part of the study, the Partners Connected Health Innovation team simulated the readmission prediction program among heart failure patients participating in the Partners Connected Cardiac Care Program, a remote monitoring and education program designed to improve the management of heart failure patients at risk for hospitalization.
Hitachi’s new AI technology uses deep learning to construct the prediction model. The company developed the technology for risk prediction with analyzing the results presented by deep learning and extracting the several dozens of actionable factors for each patient from the vast amount of data collected from heart failure patients. Through a standard statistical approach based on this risk prediction model, the extracted factors were used to calculate the risk of hospital readmission, and the relevance of the factors was calculated. Thus, this explainable AI technology can enhance prediction accuracy and the quality of medical decision-making.
Hitachi and the Partners Connected Health Innovation team will jointly conduct a prospective study, which evaluates the prediction program by clinicians, and study how to integrate this within clinical workflows.
LAS VEGAS and LONDON – Accenture has completed a three-month pilot program that uses artificial intelligence and voice technology to help older people manage their care delivery and well-being. The Accenture Liquid Studio in London developed the AI-powered Accenture Platform that can learn user behaviors and preferences and suggest activities to support the overall physical and mental health of individuals ages 70 and older. The platform, which runs on the Amazon Web Services cloud, includes a Family and Carer portal that lets family and caregivers check on the individual’s daily activities, and can also spot abnormalities in behavior and alert family or friends, based on user defined permissions. “We are working closely with Accenture and other Amazon Partner Network partners to help people have access to the benefits AI can bring,” said Dr. Matt Wood, general manager for Deep Learning and AI at AWS, in a statement. The Accenture Platform’s combination of voice activation, on-screen prompts and underlying cloud-based AI technology provided the participants with new ways of doing a range of tasks and extending their well-being.
CAMBRIDGE, Mass. and EAST GREENWICH, R.I. – Provant, a provider of comprehensive workplace well-being solutions, has adopted Twine Health’s technology to help people manage their health more effectively. Twine Health’s artificial intelligence-powered SaaS platform is currently being used by 56 workplace health providers and health care delivery systems, combining a self-management app and a centralized console enabling health coaches to deliver personalized services. “We looked at a number of options, but Twine’s state- of-the-art technology and focus on coaching as a central component of care set it apart from anything else we saw,” said Tom Basiliere, CIO for Provant, in a statement.
ATLANTA – A new collaborative initiative aims to use machine learning to better identify people living with chronic obstructive pulmonary disease who are at risk of exacerbations and hospitalization.
Health care technology company Jvion is collaborating with the COPD Foundation, the Geisinger health system and pharmaceutical company GSK to leverage cognitive machine technology and data for patients with COPD.
“The best way to prevent readmission is to prevent admission in the first place,” said Dr. Paul Simonelli, director of thoracic medicine at Geisinger. “This initiative will help us identify who is sick enough with COPD to be at risk of admission and how we can prevent it.”
The goal of the initiative is to use Jvion’s Cognitive Clinical Success Machine to identify COPD patients currently under the care of Geisinger who are at risk of hospitalization and most likely to benefit from new medications. The CCSM is an advanced artificial intelligence solution built using an Eigen Spheres engine that uses patient mapping to enable a comprehensive patient view that is amplified beyond the risk of an event to the clinical actions that will improve outcomes and drive patient engagement.
The initiative, funded by GSK, is divided into two phases: phase one will target COPD patients who have had an inpatient stay and who are at risk of a readmission within 30 days of their initial discharge; phase two will focus on identifying COPD patients at-risk of an avoidable hospitalization.
“This is a huge win for us,” said Craig Kephart, CEO of the COPD Foundation, who said the organization has had multiple requests over the years from health care providers looking for information on best practices to prevent readmissions and exacerbations, and preserve lung function for people with COPD. “Developing these algorithms will help to personalize treatment a little more.”
LONDON – Biopharmaceutical company Merck Sharp & Dohme and the accelerator Wayra UK have kicked off the third Velocity Health program to award up to $90,000 to two digital health startups using artificial intelligence and machine learning to support disease and illness prevention. Velocity Health was set up in 2015 to invest in digital innovation in healthcare to address the challenges outlined in the National Health Service’s Five Year Forward View. Previous programs focused on prevention in health care with an emphasis on diabetes prevention and cancer prevention. “Velocity Health 2018 aims to build on the achievements of the previous two years of Velocity Health and work with start-ups that truly complement the future of healthcare delivery,” said Dr. Junaid Bajwa, director of health care services at MSD, in a statement. “The NHS has made digital excellence the cornerstone of its future model and we must embrace this if we are to have a healthcare system fit for the 21st Century.”
BOSTON – Senscio Systems has been granted a U.S. Patent for the invention of an artificial intelligence framework that enables people with chronic diseases to manage their health proactively and independently from home.
“This AI framework is extraordinary in that it functions like the human brain and employs a semantic model to create knowledge,” said Dr. Piali De, CEO of Senscio Systems, in a statement. “The artificial intelligence harnesses thousands of data points from within the patient’s home and generates insights that identify and prevent gaps in care, reducing the burden on physicians and transforming patient outcomes.”
Senscio Systems applied the AI framework in its digital health solution called Ibis, which learns about the patient’s home environment and behaviors by continuously collecting and contextualizing behavioral and biometric data from the home setting. It detects adverse changes in the patient’s health and immediately alerts the patient, caregiver and provider with recommendations for behavioral or clinical interventions that reduce the need for acute care or hospitalization.
Ibis was designed to address the high risk, high cost population of people with multiple chronic conditions or whose chronic condition is at a severe level, De said. It combines patented artificial intelligence with human touch through a personal care navigator who develops a comprehensive care plan and coaches the patient on how to use the Ibis care station. When the artificial intelligence flags a patient’s health status, the Care Navigator personally contacts the patient to ensure the patient follows the self-rescue measures directed by the AI and, if self-rescue measures fail or stall, coordinates timely and proactive interventions by the clinical care team to mitigate the situation in the home.
“In the next five years we will see technology start to transform how we care for people in the home and artificial intelligence is poised to become an integral part of home health care,” added De. “Ibis not only functions as a member of the patient’s care team, it augments the intelligence of patients and caregivers with artificial, cognitive assistance.”
SAN FRANCISCO – Catalia Health, a patient care management company that provides an artificial intelligence-powered patient engagement platform, has raised $4 million pre-Series A funding to expand into new disease states and grow the company. Catalia Health’s platform combines AI, psychology and medical best practices to people with chronic illnesses through its personal health care robot, Mabu. “This additional funding is a great proof point for the platform we’ve developed and will help us more rapidly expand the number of patients who can benefit from interactions with Mabu,” said Cory Kidd, CEO and founder of Catalia Health, in a statement. The robot completes daily check-ins using tailored conversations with patients to help them manage care routines, overcome the challenges of isolating illnesses and provide insight to health care professionals about patient health, progress and adherence to treatment. The company has also appointed Charles Wu as director of product management. Catalia Health will begin a patient roll out in its first three disease states early 2018.
RALEIGH, N.C. – TeleHealth Services, a provider of interactive patient engagement solutions, has launched an interactive patient engagement platform driven by artificial intelligence.
iCare Navigator uses empathetic “virtual health coach” avatars designed to connect with patients in new ways, improve health, change behaviors and, ultimately, reduce readmissions and health care costs.
Patient engagement and education is integrated with electronic medical records and other clinical systems to follow the patient through the entire continuum of care, from pre-admittance to post-acute and at home during recovery. The cloud-based services model, delivered through patient televisions, bedside tablets and mobile devices, also allows for affordability and scalability of the platform.
“The inability to truly connect with the patient is why no company in our industry has fully penetrated the patient engagement market,” said Richard Bootes, vice president of product development for TeleHealth Services, said in a statement. “Our goal in developing iCare Navigator was to create the first interactive patient care system that uses a combination of empathy, personal motivation, game theory, family involvement and artificial intelligence to help patients be more receptive to changing their health behavior.”
TeleHealth Services is working closely with several hospitals that are implementing pilot programs using the new technology to measure how patients are better motivated and engaged to participate in their health and wellness. This includes higher activation during their hospital stay and better engagement with families to support patients when they return home.
The design concept for iCare Navigator was influenced by evidence-based patient engagement research over the past decade led by Dr. Brian W. Jack, chairman of the Department of Family Medicine, Boston University School of Medicine. Jack is a strategic clinical advisor to TeleHealth Services.
“iCare Navigator combines next-generation patient engagement technology with behavior modification practices to uniquely deliver improved outcomes to hospitals and enhance patient lives,” said Dan Nathan, president, TeleHealth Services.