Regard
VerifiedUSD | 2022 | 2023 |
---|---|---|
Revenues | 0000 | 0000 |
% growth | - | 70 % |
EBITDA | 0000 | 0000 |
Profit | 0000 | 0000 |
EV / revenue | 00.0x | 00.0x |
EV / EBITDA | 00.0x | 00.0x |
R&D budget | 0000 | 0000 |
Date | Investors | Amount | Round |
---|---|---|---|
- | investor investor investor investor | $0.0 | round |
* | $15.3m | Series A | |
Total Funding | 000k |
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Recent News about Regard
EditRegard is a cutting-edge healthcare technology startup that aims to modernize the practice of medicine by leveraging advanced data analytics and automation. The company primarily serves healthcare providers, including hospitals and clinics, by offering a platform that analyzes and synthesizes patient data. This platform helps in recommending diagnoses, automating note-taking, and capturing missed revenue opportunities. Essentially, Regard's system handles repetitive administrative tasks, allowing healthcare professionals to focus more on patient care.
Operating in the healthcare technology market, Regard addresses a critical need for efficiency and accuracy in medical documentation and diagnosis. The company's business model revolves around a software-as-a-service (SaaS) approach, where healthcare institutions pay for access to its platform. This model ensures a steady revenue stream while providing scalable solutions to its clients.
Regard makes money by charging subscription fees for its platform, which offers significant value by saving clinicians 15-30% of their time and improving hospital finances with an estimated $100K revenue impact per user. By reducing coding queries and enhancing the accuracy of medical records, Regard not only improves operational efficiency but also boosts the financial health of its client institutions.
In summary, Regard is revolutionizing healthcare by automating documentation and enhancing diagnostic accuracy, thereby freeing up valuable time for clinicians and improving hospital revenues.
Keywords: healthcare technology, data analytics, automation, SaaS, medical documentation, diagnosis, efficiency, revenue impact, hospitals, clinics.