Pogosh CDS is a structured clinical decision support engine developed by GigHz, aimed at healthcare organizations, EMR vendors, clinical app developers, and research institutions. It emphasizes that it is “not a chatbot” and “not a search engine,” but rather a system that encodes expert-style clinical reasoning into executable rules and embeds them into care workflows via a JSON API.
The product covers 413 diseases across more than 40 specialties, including emergency medicine, internal medicine, surgery, interventional radiology, and more. Its output is not generic advice, but is organized around high-value lab tests, ancillary testing, imaging choices, specialist referrals, escalation of care, and reminders for missing orders. Its patient-specific interface can adjust recommendations based on age, sex, vital signs, comorbidities, existing tests, and other factors. Each recommendation can be traced back to specific clinical rules, which is a key difference from black-box AI assistants.
Pogosh provides a REST JSON API with Bearer Token authentication, including endpoints for disease lists, full disease-specific decision data, and patient-level individualized assessments. The company says it is deployed on Cloudflare’s global edge network, with P95 response times under 200ms, making it suitable for frequent calls when a physician opens a patient chart. For integration, the documentation explicitly supports EMRs, clinical applications, and AI assistants, and it also provides an OpenEMR module. The Enterprise plan supports custom EMR integrations.
Pricing is based on physical location rather than call volume. Clinic costs $149/month and supports up to 5 providers. Practice costs $299/month and supports up to 15 providers, adding priority support, a Slack channel, usage analytics, and early access to new disease modules. Enterprise requires contacting sales. A demo key allows 50 requests per day, and there are also 10 clinical validation partnership slots that include 3 months of free full access.
Its strengths include explainable rules, a clear API structure, unlimited request volume, and close alignment with EMR workflows. It should be attractive to organizations looking to build a clinical copilot or add decision support to OpenEMR. The main gaps are that available materials do not disclose compliance information such as HIPAA, SOC 2, ISO 27001, data residency, or encryption, and they also do not clarify payment methods or the formal support boundaries of the service. The product is still in a limited-access and clinical validation stage, so its real-world accuracy, liability boundaries, and clinical adoption still need to be validated in actual deployments.
Access from China is unknown, and because it is based on Cloudflare’s edge network, actual connectivity needs to be tested. There is also no visible information on payment, contracts, medical compliance, or localization. Domestic Chinese institutions handling real patient data should first evaluate requirements around cross-border data transfer, compliance filings, and integration with in-hospital systems. Alternatives to compare include UpToDate, DynaMed, BMJ Best Practice, VisualDx, as well as Chinese medical knowledge bases, clinical pathway systems, and hospital IT vendor solutions.
⚠ This review is compiled from public sources and does not constitute a purchase recommendation. Verify all facts on the vendor's official site. Verify on pogosh.com official site.
pogosh.com is an Unknown SaaS Tools provider. TG4G tracks its product information, an overall rating of 6.0/10, and a China-accessibility score of Workable. Click "Visit Official Site" to reach pogosh.com directly.