About Caption Health
Caption Health develops an artificial intelligence (AI) platform enabling heart ultrasound access for early disease detection. Its Caption Care services offer health providers, payers, and value-based care organizations echocardiograms for their members, leveraging its Caption Atlas technology platform. It was formerly known as Bay Labs. Caption Health was founded in 2013 and is based in San Mateo, California. In February 2023, Caption Health was acquired by GE HealthCare.
Caption Health's Product Videos
Caption Health's Products & Differentiators
Convenient, cost-effective echocardiograms in any care setting to identify heart disease earlier—before undiagnosed issues become serious. Patients are identified for Caption echos based on presentation of symptoms or risk factors and engaged to schedule an exam. Caption-trained healthcare workers perform echos in accessible care settings and upload images for clinical read by a network of board-certified cardiologists. Clinical report determines disease staging and informs care plan development, with options for additional care management support through our partners.
Research containing Caption Health
Get data-driven expert analysis from the CB Insights Intelligence Unit.
CB Insights Intelligence Analysts have mentioned Caption Health in 2 CB Insights research briefs, most recently on Aug 1, 2023.
Expert Collections containing Caption Health
Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.
Caption Health is included in 4 Expert Collections, including Artificial Intelligence.
Companies developing artificial intelligence solutions, including cross-industry applications, industry-specific products, and AI infrastructure solutions.
Digital Health 50
The winners of the second annual CB Insights Digital Health 150.
The digital health collection includes vendors developing software, platforms, sensor & robotic hardware, health data infrastructure, and tech-enabled services in healthcare. The list excludes pureplay pharma/biopharma, sequencing instruments, gene editing, and assistive tech.
Winners of CB Insights' 5th annual AI 100, a list of the 100 most promising private AI companies in the world.
Caption Health Patents
Caption Health has filed 10 patents.
Medical ultrasonography, Medical imaging, Acoustics, Medical equipment, Magnetic resonance imaging
Medical ultrasonography, Medical imaging, Acoustics, Medical equipment, Magnetic resonance imaging
Latest Caption Health News
Nov 30, 2023
News provided by Share this article Share toX CHICAGO , Nov. 30, 2023 /PRNewswire/ -- Improved clinical decision support, increased interoperability, real-time language translation, and patient-centric applications are the future of natural language processing (NLP) in healthcare. Key themes that highlight the necessity of responsible deployment and respect to regulatory norms include predictive analytics, ethical considerations, continuous learning, and growing use in telehealth. The global NLP in Healthcare & Life Sciences Market is projected to grow from USD 2.7 billion in 2023 to USD 11.8 billion by 2028, at a CAGR of 34.4% during the forecast period, according to a new report by MarketsandMarkets™. NLP transforms healthcare by decoding text data, empowering efficient patient care. It aids healthcare staff in decision-making, medication management, and precise record-keeping by smartly analyzing medical information. NLP fosters evidence-based practices and encourages patient involvement in their healthcare journey. Its growth signifies improved treatments, streamlined workflows for healthcare professionals, and a more informed patient community. This symbiotic relationship between technology and healthcare promises a brighter, more accessible future in the medical landscape. Browse in-depth TOC on "NLP in Healthcare & Life Sciences Market" 346 - Tables Companies covered IBM (US), Microsoft (US), Google (US), AWS (US), IQVIA (US), Oracle Corporation (US), Inovalon(US), Dolbey and Company (US), Averbis (Germany), SAS Institute (US), 3M (US), Press Ganey (US), Ellipsis Health (US), Centene Corporation (US), Lexalytics (US), Caption Health (US), Clinithink (US), Hewlett Packard Enterprise (US), Oncora Medical (US), Flatiron Health (US), Apixio (US), Edifecs (US), John Snow Labs (US), ITRex Group (US), Forsee Medical (US), Gnani.ai (India), Notable (US), Biofourmis (US), Suki (US), Wave Health Technologies (US), Corti (Denmark), CloudMedx (US), MedlnReal (Netherlands), Emtelligent (Canada), Enlitic (US), and Deep 6 AI (US) Text Classification to hold the largest market size during the forecast period. Text classification in NLP in Healthcare & Life Sciences Market categorizes medical data, organizing it into meaningful groups such as diagnoses, symptoms, or treatments. This systematic sorting enables swift data analysis, aiding in decision-making processes for healthcare professionals. It automates administrative tasks, swiftly flags critical information, and uncovers patterns crucial for predictive analytics and research insights. By efficiently structuring information, text classification optimizes workflows, enhances clinical decision support systems, and accelerates research efforts. This streamlined approach expedites diagnoses, treatments, and discoveries, serving as a catalyst for improved patient care and advancements in healthcare practices. Solutions Segment to account for the largest market share during the forecast period. NLP solutions in Healthcare & Life sciences revolutionize data management, diagnosis, and patient interaction. These solutions streamline clinical documentation, extracting insights from unstructured data such as patient records and medical literature. It aids in precision medicine by analyzing genetic data and identifying tailored treatments. NLP powers chatbots and virtual assistants, improving patient engagement and support. Additionally, it accelerates drug discovery processes by mining vast scientific literature for patterns and insights. Ethical considerations, including privacy and bias, remain focal points in deploying NLP solutions, ensuring responsible and effective integration into these critical sectors. Asia Pacific to exhibit the highest CAGR during the forecast period. The CAGR of Asia Pacific is estimated to be highest during the forecast period. The advanced and dynamic adoption of new technologies has made Asia Pacific the fastest-growing economic region. The healthcare industry in this region has gained momentum with increased AI and ML spending. Governments across this region are taking various initiatives to implement AI in businesses. The region is hence expected to witness a noticeable growth in the adoption of NLP technologies, enabling healthcare providers to automate administrative workflows, invest more time in inpatient care, and improve the patient experience using real-time data. By applying NLP technologies, healthcare organizations optimize the manual review of unstructured text within medical records to uncover clinical insights. Top Key Companies in NLP in Healthcare & Life Sciences Market: Major vendors in the global NLP in Healthcare & Life Sciences Market are IBM (US), Microsoft (US), Google (US), AWS (US), IQVIA (US), Oracle Corporation (US), Inovalon(US), Dolbey and Company (US), Averbis (Germany), SAS Institute (US), 3M (US), Press Ganey (US), Ellipsis Health (US), Centene Corporation (US), Lexalytics (US), Caption Health (US), Clinithink (US), Hewlett Packard Enterprise (US), Oncora Medical (US), Flatiron Health (US), Apixio (US), Edifecs (US), John Snow Labs (US), ITRex Group (US), Forsee Medical (US), Gnani.ai (India), Notable (US), Biofourmis (US), Suki (US), Wave Health Technologies (US), Corti (Denmark), CloudMedx (US), MedlnReal (Netherlands), Emtelligent (Canada), Enlitic (US), and Deep 6 AI (US). Recent Developments: In October 2023, Inovalon collaborated with AWS to develop AI/ML solutions for the healthcare industry. The initial focus will be on risk adjustment, but the collaboration is expected to expand to other areas, such as disease management, population health, and clinical decision support. The goal of the collaboration is to improve patient outcomes and reduce costs. In September 2023, Apollo Hospitals announced an extended partnership with Google Cloud to make healthcare accessible to every Indian through its digital platform, Apollo 24|7. The partnership involved the development of a Clinical Intelligence Engine (CIE) using Google Cloud's Vertex AI and generative AI models. Apollo Hospitals is also considering the use of Med-PaLM 2, a Google-developed LLM capable of responding to medical queries and generating clinical text summaries, further enhancing healthcare services. In August 2023, Oracle partnered with TeleVox to provide cloud-based patient engagement solutions to healthcare organizations. This partnership would combine TeleVox's expertise in patient engagement with Oracle Cloud Infrastructure's (OCI) scalability, security, and reliability. In April 2023, Moderna signed an agreement with IBM to harness quantum computing and artificial intelligence for mRNA research, with the goal of accelerating scientific advancements in mRNA therapeutics and vaccines. This agreement aims to explore cutting-edge technologies to potentially revolutionize healthcare and biotechnology by leveraging data-driven insights and innovative solutions. In March 2023, Syneos Health announced a multi-year partnership with Microsoft to use its platform for deploying artificial intelligence (AI) in its clinical trials and commercial programs. NLP in Healthcare & Life Sciences Market Advantages: Efficiency: By automatically extracting pertinent information from unstructured clinical notes, natural language processing (NLP) can expedite the clinical recording process and save time and effort when manually entering data. Accuracy: Automated documentation promotes more thorough and accurate patient records by reducing errors. Analysing large volumes of clinical data, natural language processing (NLP) can offer healthcare practitioners insightful information that reinforces evidence-based decision-making. Alerts and Notifications: Natural Language Processing (NLP) systems has the ability to produce alerts and notifications that inform healthcare practitioners about possible problems, like missing diagnostic criteria or drug interactions. Chatbots and virtual assistants: Equipped with natural language processing (NLP), these AI tools may converse with patients, respond to their questions, and offer guidance, all of which contribute to a better patient experience. Language Understanding: Natural language processing (NLP) enables systems to comprehend and react to natural language inquiries, facilitating patient-provider communication and the retrieval of pertinent information. Risk assessment: By analysing patient data to find trends and gauge a patient's chance of contracting a particular illness, natural language processing (NLP) algorithms make it possible to take preventative measures. Early Detection: Natural Language Processing (NLP) can help identify diseases early on and may even enhance the effectiveness of treatment by analysing vast amounts of data. Report Objectives To define, describe, and predict the NLP in the Healthcare & Life sciences market by offering (solutions and services), NLP type, application, NLP technique, end users, and region To provide detailed information about major factors (drivers, restraints, opportunities, and industry-specific challenges) influencing the market growth To analyze opportunities in the market and provide details of the competitive landscape for stakeholders and market leaders To forecast the market size of segments with respect to five main regions: North America, Europe, Asia Pacific, Middle East & Africa, and Latin America To profile key players and comprehensively analyze their market rankings and core competencies To analyze competitive developments, such as partnerships, new product launches, and mergers and acquisitions, in the NLP in the Healthcare & Life sciences market Related Reports: About MarketsandMarkets™ MarketsandMarkets™ has been recognized as one of America's best management consulting firms by Forbes, as per their recent report. MarketsandMarkets™ is a blue ocean alternative in growth consulting and program management, leveraging a man-machine offering to drive supernormal growth for progressive organizations in the B2B space. We have the widest lens on emerging technologies, making us proficient in co-creating supernormal growth for clients. Earlier this year, we made a formal transformation into one of America's best management consulting firms as per a survey conducted by Forbes. The B2B economy is witnessing the emergence of $25 trillion of new revenue streams that are substituting existing revenue streams in this decade alone. We work with clients on growth programs, helping them monetize this $25 trillion opportunity through our service lines - TAM Expansion, Go-to-Market (GTM) Strategy to Execution, Market Share Gain, Account Enablement, and Thought Leadership Marketing. Built on the 'GIVE Growth' principle, we work with several Forbes Global 2000 B2B companies - helping them stay relevant in a disruptive ecosystem. Our insights and strategies are molded by our industry experts, cutting-edge AI-powered Market Intelligence Cloud, and years of research. The KnowledgeStore™ (our Market Intelligence Cloud) integrates our research, facilitates an analysis of interconnections through a set of applications, helping clients look at the entire ecosystem and understand the revenue shifts happening in their industry. Contact:
Caption Health Frequently Asked Questions (FAQ)
When was Caption Health founded?
Caption Health was founded in 2013.
Where is Caption Health's headquarters?
Caption Health's headquarters is located at 4 W 4th Avenue, San Mateo.
What is Caption Health's latest funding round?
Caption Health's latest funding round is Acquired.
How much did Caption Health raise?
Caption Health raised a total of $75.33M.
Who are the investors of Caption Health?
Investors of Caption Health include GE Healthcare, Bill & Melinda Gates Foundation, Khosla Ventures, DCVC, Edwards Lifesciences and 16 more.
Who are Caption Health's competitors?
Competitors of Caption Health include Sonio, EchoNous, Ultrasight, DiA Imaging Analysis, Signify Health and 7 more.
What products does Caption Health offer?
Caption Health's products include Caption Care and 3 more.
Compare Caption Health to Competitors
AISAP provides artificial intelligence (AI) powered diagnosis services. Its cloud-based platform provides a comprehensive real-time analysis of images and data from ultrasound studies. The company was founded in 2022 and is based in Ramat Gan, Israel.
Ultromics provides an artificial intelligence (AI)-based echocardiography imaging analysis platform. The company provides software solutions such as the EchoGo product, which enhances the accuracy of the diagnosis of cardiovascular situations and provides reports for clinicians without any need for physical software on-site. The company was founded in 2017 and is based in Oxford, United Kingdom.
Nerveblox provides an AI-based platform. The company's platform assists anesthesiologists in visually experiencing peripheral nerve blocks as a decision-support solution. The company's software captures images from ultrasonography devices and uses an AI algorithm to label the anatomical landmarks. It was founded in 2019 and is based in Ankara, Turkey.
Us2.ai operates as an online healthcare technology platform. It provides automated echo reports with disease detection. It uses a heart risk detection tool to improve patient outcomes and expand healthcare access. It was formerly known as eko.ai. The company was founded in 2017 and is based in Singapore.
Ultrasight develops an automated ultrasound solution that provides AI-based navigation, analysis, and diagnosis at the point of care. It allows healthcare professionals to perform cardiac ultrasounds in a variety of settings at the point of care including clinics, community hospitals, ambulances, and remote and rural areas. The company was founded in 2018 and is based in Ness Ziona, Israel.
Aidoc provides a care coordination platform. It offers a wide range of solutions such as real-time notifications for neuro care, automatic analysis of imaging to identify abnormalities, and more. It was founded in 2016 and is based in Tel Aviv, Israel.