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Welcome to another installment in our market map series, a collaborative project mapping emerging opportunities in tech. This deep dive into Digital Healthcare Infrastructure features 90+ companies building in the space, 60 active investors and insights from founders, investors and thought leaders.
Artificial Intelligence (AI) is at the forefront of healthcare innovation. AI in healthcare enhances medical treatment and patient experiences, from faster diagnosis to robot-assisted operations. It improves healthcare workers' ability to better identify the day-to-day patterns and requirements of the patients they care for, allowing them to provide better feedback, assistance, and support for good health.
Whether you are new to machine learning or are looking forward to coming up with a startup in the same domain, the best way to get inspired is by looking at successful startups. Machine learning has not left any industry untouched. Be it healthcare, defense, B2B services, or agriculture, machine learning has catered in numerous ways. In this article, we will throw light on the top 10 machine learning startups to watch in 2023. Read on!
Alongside the potential to remove tasks from the plate of clinical staff, artificial intelligence also enables the collection of thousands of data points a day on each patient. AI technology can recognize connections, formulate subsequent conclusions and can help advance health care practices, but only if the data is available.
AI has become a board-level priority. Last month, Optum published their 4th annual AI survey and 98% of the 500 healthcare executives they surveyed said they have an AI strategy or are planning to implement one. Healthcare organizations are not only ready for AI—they need it to succeed.
LTC ACO, the first ACO dedicated to long-term care facility residents, has selected ClosedLoop to provide predictive analytics that will drive improved health outcomes for nearly 20,000 beneficiaries nationwide.
ClosedLoop and CareJourney have announced a partnership to enhance the way VBC program administrators make decisions with clinical data, improving prediction accuracy and performance gaps.
ClosedLoop today announced it has been selected to participate in the AWS Healthcare Accelerator for Health Equity, a technical, business, and mentorship program for startups seeking to use AWS to increase access to health services, reduce disparities by addressing social determinants of health (SDoH), and/or use data to promote equitable and inclusive systems of care.
ClosedLoop, a leading healthcare data science platform, announced today it was awarded Best in KLAS for Healthcare Artificial Intelligence: Data Science Solutions in the 2022 Best in KLAS: Software & Services report.
ClosedLoop.ai, healthcare’s data science platform, today announced that it has been named as one of Fierce Healthcare’s Fierce 15 of 2022, designating it as one of the most promising healthcare companies in the industry.
ClosedLoop.ai, healthcare’s data science platform, today announced another year of exceptional growth. In 2021, ClosedLoop established itself as the leader in predictive AI for healthcare by winning the largest healthcare-focused AI challenge ever, quadrupling its revenue year-over-year, more than doubling its customer base and employee headcount, and winning several high-profile industry awards.
Olive, the automation company creating the Internet of Healthcare, today announced a partnership with ClosedLoop, a healthcare data science platform that makes it easy for healthcare organizations to use AI to improve outcomes and reduce costs. ClosedLoop has also joined The Library, a first-of-its-kind universal marketplace for healthcare solutions, to provide AI-enabled predictive analytics to deliver better patient outcomes, such as reducing unplanned hospitalizations, readmission rates and hospital-acquired infections.
