Dyania Health
VerifiedUSD | 2022 | 2023 |
---|---|---|
Revenues | 0000 | 0000 |
% growth | - | 411 % |
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 | $0.0 | round |
investor investor investor investor investor investor investor investor investor | $0.0 | round | |
* | $5.3m | Seed | |
Total Funding | 000k |
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Recent News about Dyania Health
EditDyania Health, operating under the name Synapsis AI, is a healthcare technology startup that specializes in automating the review and abstraction of electronic medical records (EMRs). The company uses a combination of artificial intelligence (AI) and medical expertise to understand, assess, and draw clinical conclusions from EMRs. This process, which would typically be manual and time-consuming, is streamlined and automated by Synapsis AI, saving healthcare providers valuable time and resources.
The company's primary clients are healthcare providers and research institutions that require efficient and accurate review of EMRs. These clients may need to pre-screen patients for clinical trials, run observational clinical studies, complete reporting or registry requirements, or monitor the quality of care. By automating these processes, Synapsis AI helps its clients to operate more efficiently and effectively.
Synapsis AI operates in the healthcare technology market, a rapidly growing sector driven by the increasing digitization of healthcare data and the need for efficient data management solutions. The company's business model is likely based on a service or subscription model, where clients pay for the use of the Synapsis AI software.
The company generates revenue by charging its clients for the use of its software. The cost to the client would depend on the volume of EMRs that need to be reviewed and the complexity of the tasks that need to be automated.
Keywords: Healthcare Technology, Artificial Intelligence, Electronic Medical Records, Clinical Trials, Observational Clinical Studies, Reporting, Registry Requirements, Quality of Care Monitoring, Service Model, Subscription Model.