What You Should Know:
Operational limitations—such as staffing shortages, variable patient flow, and poor visibility into resource availability—can make it difficult for healthcare organizations to effectively manage their capacity, leading to volatile workloads that see resources either under- or over-utilized. Some organizations are using capacity optimization management technology, which includes artificial intelligence (AI) and machine learning (ML), to collect data that can improve
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LeanTaaS| Hospital Operations, iQueue Platform, Machine Learning
Siemens Partners with LeanTaaS on Hospital Operational Performance
What You Should Know:
- Siemens Healthineers and LeanTaaS have entered a strategic partnership to help health systems across the country achieve and sustain peak hospital operational performance.
- The Siemens Healthineers network can now deploy system-wide tools designed to optimize capacity supported by the powerful combination of LeanTaaS’ Artificial Intelligence (AI) and Machine Learning (ML) -based predictive and prescriptive analytics solutions and the enterprise-wide management
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M&A: LeanTaaS Acquires Hospital IQ, Combined Valuation Exceeds $1B
What You Should Know:
- LeanTaaS, Inc., a provider of AI-powered and SaaS-based capacity management and patient flow software for health systems, today announced it has acquired Hospital IQ, a provider of intelligent automation solutions for hospitals. The acquisition values the combined company at more than $1 billion in enterprise value and enables it to power intelligent operations across more than 180+ U.S. health systems. The financial terms of the acquisition were not disclosed.
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Unlock the Full Potential of Inpatient Bed Capacity with AI
Every day, hospital staff do the best they can to navigate the daily chaos of bed management by making educated guesses as to what is going to happen over the course of the day. Relying on team huddles throughout the day, staff pore over Excel or paper spreadsheets to predict how many beds will open up and when. They try to estimate demand for those beds by the time of day, unsure when to deploy “surge capacity.” On some days, this method works out well. However, more often than not, the staff’s
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Half of Infusion Centers Struggling to Keep Up with Demand
What You Should Know:
- LeanTaaS, Inc., an AI-based predictive and prescriptive analytics company in healthcare operations, today announced its The State of Cancer Centers in 2022 Special Report, stemming from a survey conducted in partnership with The Association of Community Cancer Centers (ACCC) in mid-2022.
- With responses from nearly 100 cancer center leaders, hailing from hospitals and health systems across the country, the survey focuses on the operational challenges that infusion
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M&A: Bain Capital Acquires Majority Stake in LeanTaaS
What You Should Know:
- Private equity firm Bain Capital has acquired a majority stake in the company in LeanTaaS, a leading provider of cloud software solutions for optimizing hospital operations and capacity management that will enable LeanTaaS to accelerate its rapid growth trajectory.
- LeanTaaS’ cloud-based iQueue solutions help hospitals transform their approach to care delivery and improve capital and scarce resource decision-making by optimizing the utilization of
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LeanTaaS Secures $130M for ML Platform to Help Hospitals Achieve Operational Excellence
What You Should Know:
- LeanTaaS
raises $130 million in Series D Funding to strengthen its machine learning platform
to continue helping hospitals achieve operational excellence during a time
where they are facing mounting financial pressures due to COVID-19.
- LeanTaaS provides software solutions that combine lean
principles, predictive analytics, and machine learning to transform hospital
and infusion center operations to improve operational efficiencies, increase
access, and
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COVID-19: How Hospitals Can Create Better Inpatient Bed Capacity through Math
Since the beginning of the COVID-19 pandemic, key elements of hospital operations such as managing inpatient bed capacity, and access to ventilators and PPE have taken center stage. The general public got a crash course on what hospitals need in order to function successfully when disaster hits, and daily news and discussions were centered around ICU bed capacity as cases accelerated across the country.
The nightmarish predictions and reality led to the development of creative measures to
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