About Carbon Health
Carbon Health develops a mobile-based healthcare network. It offers hybrid care by combining custom technology with expert care and enables patients to establish a direct relationship with an integrated team, monitor and manage their health on the go, and access in-person care. Carbon Health was formerly known as MD Collab. It was founded in 2015 and is based in San Francisco, California.
ESPs containing Carbon Health
The ESP matrix leverages data and analyst insight to identify and rank leading companies in a given technology landscape.
The hybrid primary & specialty care market aims to provide patients with a combination of virtual and in-person healthcare services. This market addresses the challenges of affordable and accessible healthcare and the demand for personalized care. The market includes vendors that offer unique value propositions such as virtual primary care, mental health, and in-person care all via one seamless ap…
Carbon Health's Products & Differentiators
Primary and Urgent Care Services
Carbon Health delivers a seamless patient experience through its omnichannel care model which includes in-clinic, virtual, and home-based care. Thanks to its proprietary technology, it has re-engineered the healthcare stack to automate clinical operations and simplify workflow through continuous learning and artificial intelligence. Carbon Health’s omnichannel model integrates home-based care including remote patient monitoring, and home diagnostics services to span care for chronic, preventative, and acute conditions. During virtual care appointments, physicians discuss main complaints, as well as symptoms and the patient's general health, to then create a unique care plan and diagnosis, sent directly through the app for easy access.
Research containing Carbon Health
Get data-driven expert analysis from the CB Insights Intelligence Unit.
CB Insights Intelligence Analysts have mentioned Carbon Health in 8 CB Insights research briefs, most recently on Aug 31, 2023.
Expert Collections containing Carbon Health
Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.
Carbon Health is included in 4 Expert Collections, including Unicorns- Billion Dollar Startups.
Unicorns- Billion Dollar Startups
Digital Health 150
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.
Companies developing, offering, or using electronic and telecommunication technologies to facilitate the delivery of health & wellness services from a distance. *Columns updated as regularly as possible; priority given to companies with the most and/or most recent funding.
Latest Carbon Health News
Aug 31, 2023
I connect the dots between the economy ... and business! Got it! getty Healthcare will see large productivity gains from artificial intelligence, but not through robotic medical services right away. The big, early gains will come from faster, easier clerical tasks that today consume too much of doctors’ and nurses’ time. Healthcare services constitute 11% of gross domestic product . That figure rises to 18% when non-service spending is included, such as drugs, devices and construction. A big gain in this industry will really help total output of the economy. Healthcare staffing shortages accentuate the benefits that will accrue from productivity gains. I previously expected slow take-up of AI tools in healthcare, but I’ve changed my opinion. Although it’s still true that healthcare has very high stakes, high litigiousness and a good deal of regulation, there are many clerical and administrative tasks that can be automated fairly easily. AI for Clerical Healthcare Tasks Eren Bali, the founder of Udemy and now founder/CEO of Carbon Health , explained in a conversation the large opportunity, using his company’s charting software as an example. Doctors and other direct providers spend a great deal of time on clerical tasks, such as writing up patient visit summaries. At Carbon Health, doctors have the option of using an app on their phone or iPad that will record the conversation. The recording is transcribed, then GPT-4 creates a summary of the patient’s concerns, doctor’s observations and treatment plan. The doctor edits the health record as needed, then signs off on the report. Electronic health records offer substantial potential benefits, but practitioners have complained about the time required to write up patient visits. Carbon Health reports time to fill out the patient chart has dropped from 16 minutes to less than four minutes, with much greater detail. Ponder that gain. In terms of the physician’s time, that’s a huge savings. In terms of the physician’s job satisfaction, less paperwork and more patient time is a big plus. MORE FOR YOU Up and down the healthcare system, doctors, nurses and clerical personnel perform simple tasks that do not involve diagnosis or treatment of illness. But the tasks are often vital for good patient treatment or for billing. Using AI makes tremendous sense. Carbon Health’s next steps include easier writing of prescriptions, lab orders and patient communications. Carbon Health is not alone in this market. Other firms have developed scribing tools, as they are called, that incorporate artificial intelligence for transcription and summaries. AI in Medical Diagnosis and Treatment The use of AI in diagnosis and treatment is far more controversial. The Wall Street Journal reported on dissatisfaction among nurses about AI systems conflicting with the their views of what was best for patients. Some of the criticisms by nurses reflected poor management decisions more than bad AI. Nurses have been told to both use their judgment and to listen to the AI’s recommendations. Every company with a procedures manual has had the same problem: When should an employee go by the book, and when should the employee use judgment because the book isn’t right in a particular circumstance? Right now ChatGPT seems to be about as good as a newly graduated M.D. The AI got a 60% score—a passing grade—on a simulation of the United States Medical Licensing Exam . (We patients may be worried that our doctors could pass the exam with 40% incorrect answers. However, the exam is typically completed in the doctor’s first year out of medical school, before completing a residency. So the physician we see in a clinic usually has more experience.) The likely next step in AI usage for diagnosis and treatment is a “recommendation engine.” The AI would listen in on the conversation between patient and doctor while accessing past visits, lab reports and imaging, and occasionally make a recommendation. “Recommend you consider possibility of infection as a cause of patient’s vision loss” or “Recommend an x-ray to rule out possibility of a fracture.” The practitioner could reject the recommendation or accept it. This process would combine the knowledge of a trained physician or nurse with the AI, giving the human final authority. The recommendation engine could be trained on actual patient data about practitioners’ final decisions and the patients’ outcomes. Over time, recommendation engines will improve, possibly to the point where the recommendation engine can be used where practitioners are not readily available. That could include rural clinics or after hours care. We may find that a good nurse with a good recommendation engine can substitute for a doctor in many cases. However, the transition will be managed cautiously given that human lives are at stake. Healthcare Productivity Gains from AI Medical care includes hands-on activity, which will be slow to benefit from AI. However, much healthcare involves processing information about a patient and the medical possibilities. Over 1.1 million people work as physicians, surgeons, physician assistants and nurse practitioners. If each of these can save a few minutes every hour through greater productivity, the country will reap large gains. Follow me on Twitter or LinkedIn . Check out my website .
Carbon Health Frequently Asked Questions (FAQ)
When was Carbon Health founded?
Carbon Health was founded in 2015.
Where is Carbon Health's headquarters?
Carbon Health's headquarters is located at 300 California Street, San Francisco.
What is Carbon Health's latest funding round?
Carbon Health's latest funding round is Series D - III.
How much did Carbon Health raise?
Carbon Health raised a total of $623.18M.
Who are the investors of Carbon Health?
Investors of Carbon Health include CVS Health Ventures, 500 Global, Brookfield Asset Management, Dragoneer Investment Group, Weston McKennie and 36 more.
Who are Carbon Health's competitors?
Competitors of Carbon Health include Oak Street Health, Tia, One Medical, Pando Bioscience, Juno Medical and 11 more.
What products does Carbon Health offer?
Carbon Health's products include Primary and Urgent Care Services and 4 more.
Compare Carbon Health to Competitors
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