Galileo CDS

Galileo builds clinical decision support tools for radiology using Deep Learning and Bayesian Learning. The company was founded in 2015 and is based in Austin, Texas, United States.

Galileo is a technology-enabled healthcare company that provides comprehensive primary care services through a digital-first approach. Founded by Dr. Tom Lee, who previously started One Medical and Epocrates, Galileo aims to deliver high-quality, affordable healthcare to diverse patient populations. The company utilizes a sophisticated platform that combines artificial intelligence, telemedicine, and in-person care to offer a range of services including preventive care, chronic condition management, and acute care. Galileo's model is designed to handle both low-intensity digital interactions and high-intensity home care for complex patients, allowing it to serve a wide spectrum of healthcare needs efficiently. The company's technology includes a diagnostic and therapeutic engine that ensures consistent care delivery across its platform. Galileo also emphasizes data fluidity, streamlining information from medical records and experts to support informed decision-making.

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Clinical Decision Support Systems

Galileo is a technology-enabled healthcare company that provides comprehensive primary care services through a digital-first approach. Founded by Dr. Tom Lee, who previously started One Medical and Epocrates, Galileo aims to deliver high-quality, affordable healthcare to diverse patient populations. The company utilizes a sophisticated platform that combines artificial intelligence, telemedicine, and in-person care to offer a range of services including preventive care, chronic condition management, and acute care. Galileo's model is designed to handle both low-intensity digital interactions and high-intensity home care for complex patients, allowing it to serve a wide spectrum of healthcare needs efficiently. The company's technology includes a diagnostic and therapeutic engine that ensures consistent care delivery across its platform. Galileo also emphasizes data fluidity, streamlining information from medical records and experts to support informed decision-making.

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 Clover Health is a healthcare company focused on serving Medicare Advantage members. The company leverages its proprietary software platform, the Clover Assistant, to aggregate and analyze patient data from across the healthcare ecosystem. This data-driven approach aims to support clinical decision-making and improve health outcomes for seniors.
 
 
 
 
 Clover Health operates in two segments: Insurance and Non-Insurance. Through its Insurance segment, the company provides PPO and HMO plans to Medicare Advantage members across several states. As of March 2022, Clover Health had approximately 257,000 lives under its management, a significant increase from around 66,000 lives in the first quarter of 2021.
 
 
 
 
 The Clover Assistant is a key component of Clover Health's strategy. This software platform is designed to provide physicians with relevant patient information to facilitate coordinated care. The company reported that in 2021, its Insurance members whose primary care providers (PCPs) utilized the Clover Assistant had a significantly lower medical care ratio (MCR) compared to members whose PCPs did not use the platform.
 
 
 
 
 In its Non-Insurance segment, Clover Health participates in the Centers for Medicare &amp; Medicaid Services' (CMS) Direct Contracting model, which will transition to the ACO Reach model in 2023. This segment involves aligning with Original Medicare beneficiaries through provider attribution or voluntary alignment.
 
 
 
 
 For the full year 2022, Clover Health expected total revenues to range from USD 3.0 billion to USD 3.4 billion, including projected Insurance revenue of USD 1.0 billion to USD 1.1 billion and Non-Insurance revenue of USD 2.0 billion to USD 2.3 billion. The company also anticipated an improvement in its Insurance MCR, falling within the range of 95% to 99%, driven by operational efficiencies, increased risk scores, and lower Covid-19 costs.
 
 
 
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Clover Health

Digital Diagnostics is a healthcare technology company that develops artificial intelligence (AI) systems for disease diagnosis by analyzing medical images. The company's flagship product, LumineticsCore (formerly known as IDx-DR), is an FDA-cleared autonomous AI system designed to detect diabetic retinopathy and diabetic macular edema during a patient encounter without needing a physician to interpret the images. LumineticsCore increases patient access to care by providing diagnostic results at the point-of-care, eliminating the need for an additional appointment for most patients. This enables healthcare providers to close the gap in eye exams for diabetes care by offering a specialty-level diagnostic exam where the patient receives care.
Digital Diagnostics has also developed DermSpot, an AI system for detecting certain types of skin cancer, which is currently for investigational use only. The company aims to create AI diagnostic solutions that improve patient outcomes, increase healthcare productivity, and enhance accessibility and affordability of care. In April 2023, Digital Diagnostics expanded LumineticsCore to Labcorp patient service centers in Alabama.
Key customers and partnerships
In 2022, Digital Diagnostics signed a long-term strategic partnership with Baxter International to help front-line care providers deliver high-quality care and improve outcomes. The company also partnered with ArchWell Health to bring LumineticsCore to ArchWell Health centers across the US.
Additionally, Digital Diagnostics entered into a memorandum of understanding with the Kingdom of Saudi Arabia's Ministry of Investment in 2022 for international expansion.

Digital Diagnostics

Lunit is a leading provider of AI-powered solutions for cancer diagnostics and therapeutics. The company's flagship product, Lunit INSIGHT, is a suite of AI solutions for radiology that has been approved for commercial use in Europe and the UK through the MDR CE and UKCA certifications obtained in November 2022. The suite includes Lunit INSIGHT CXR for chest X-ray analysis and Lunit INSIGHT MMG for mammography analysis. Lunit INSIGHT CXR can detect 10 chest abnormalities, including pulmonary nodules and pneumothorax, with 97-99% accuracy, while Lunit INSIGHT MMG detects breast cancer with 96% accuracy.
After receiving FDA clearance, Lunit's solutions are clinically used in approximately 3,000 hospitals and medical institutions across 40 countries as of March 2024. In April 2024, a study published in European Radiology demonstrated that Lunit INSIGHT MMG could potentially reduce radiologists' workload by nearly 70% and boost cancer detection accuracy by 30.5%, showcasing its ability to enhance operational efficiency and improve patient outcomes.
In May 2024, Lunit completed the acquisition of Volpara Health Technologies, a New Zealand-based company offering software for early cancer detection, for USD 193 million. The acquisition aimed to strengthen Lunit's presence in the US market and leverage Volpara's robust repository of over 100 million medical images to develop innovative solutions for cancer diagnostics.
Key customers and partnerships
Lunit has established strategic partnerships to expand its reach and integrate its AI solutions into healthcare systems worldwide. In March 2024, the company signed supply contracts with Chung Shan Medical University in Taiwan and Gleneagles Hospital in Singapore to provide Lunit INSIGHT CXR and Lunit INSIGHT MMG, respectively. These collaborations aimed to enhance lung and breast cancer detection in the East and Southeast Asian regions.
In November 2023, Lunit partnered with NTT DATA Singapore to introduce Lunit INSIGHT CXR to Singapore's public healthcare system through the AimSG platform, a national medical imaging AI initiative. The solution was piloted at Singapore General Hospital and Changi General Hospital, two major public hospitals, to enhance the efficiency of chest screening and provide innovative medical services with improved accuracy.
Lunit has also collaborated with leading healthcare technology companies, such as GE healthcare, Fujifilm, Philips, and Guardant Health, to deploy its AI products and leverage their distribution networks.

Lunit

Lumeon is a digital health company that provides a cloud-based Care Orchestration platform designed to automate and streamline the care coordination process for healthcare providers. The platform leverages real-time, bi-directional data integration and applies dynamic clinical intelligence to ensure that patients receive the right care at the right time, every time.
Lumeon's Care Orchestration platform acts as a "care traffic control" center, synchronizing disparate data across the care continuum, orchestrating and automating care pathway activities, and delivering relevant information to care teams and patients. By automating routine tasks and workflows, the platform enables care teams to focus on providing direct patient care, working at the top of their licenses.
The platform integrates with electronic health records (EHRs) and other systems, creating a real-time synthetic patient record to inform care decisions. It visualizes care plans, virtualizes monitoring, and automates routine tasks, ultimately reducing manual intervention and associated costs for providers. The platform can be deployed enterprise-wide and applied across various use cases within a healthcare system.
Key features of Lumeon's Care Orchestration platform include real-time bi-directional data integration with EHRs and other systems, automation of care orchestration tasks and workflows, and the ability to present information through multiple modalities, including within EHRs, native interfaces, web portals, and mobile apps.
Lumeon's platform has been deployed by leading healthcare providers in the US and Europe across more than 2,000 care locations, delivering measurable results in as little as 90 days.

Lumeon

Proscia is a software company that develops digital and computational pathology solutions. Its flagship product, Concentriq, is an enterprise pathology platform that serves as a hub for digital pathology data and AI applications. Concentriq bridges the gap between anatomic pathology laboratories and life sciences organizations, enabling real-world pathology data to fuel innovation that enhances patient care.
The platform delivers an open environment to run a range of AI applications, including Proscia's proprietary algorithms and those developed by partners or customers. One such AI solution is DermAI, a dermatopathology module launched in June 2019 to assist laboratories in tasks like case prioritization, automated quality assurance, and enhanced technical component reporting.
In February 2024, Proscia received 510(k) clearance from the FDA for its Concentriq AP-Dx solution for primary diagnosis in clinical settings. This comprehensive diagnostic software streamlines collaboration and helps drive confidence and efficiency gains. As of December 2023, over 10,000 pathologists and scientists, including those at leading diagnostic laboratories and 14 of the top 20 pharmaceutical companies, used Proscia's solutions.
Furthermore, in December 2023, CellNetix Pathology & Laboratories announced a collaboration with Proscia to digitize a portion of its 1 million glass slides per year and adopt AI-powered digital pathology workflows.

Proscia

Software that provides a list of possible diseases based on data collected from patients. Platforms are only used for initial assessments.

Platforms and software that generates alerts based on patient treatment and current status.

Platforms and software that monitor and track treatment plans of patients, identifies possible treatment issues, and suggests alternative treatment options.

Workflow management software that helps clinicians track and follow procedure for operations.

In most cases, CDSSs are provided to healthcare providers

Uses digital mediums to generate actionable insights from health data

Uses AI/ML to output decisions/recommended actions based on databases of medical records

Uses IoT to connect databases with medical devices for decision support

Galileo CDS

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