# Healthcare Analytics — HIPAA-Ready AI for RCM > AI analytics for healthcare and revenue cycle teams: HIPAA BAA, read-only connections, deployment in your own VPC. With results from two providers. HTML version: https://supaboard.ai/industry/healthcare Healthcare analytics teams have a specific version of the general problem: the questions are urgent, the data is spread across an EHR, a clearinghouse and a billing system, and the compliance posture rules out most of the fast answers. Supaboard is used in both revenue cycle management and clinical software, with HIPAA BAA available Enterprise, add-on on Business and SOC 2 Type II on Business and Enterprise. The two published results on this site are both healthcare. Jindal Healthcare, an RCM provider, cut analytics costs by 90%. Legend EHR gave every clinic manager their own analyst rather than a shared reporting queue. For how this works in general rather than what we built, see [AI Predictive Analytics in Healthcare: A Practical Guide](https://supaboard.ai/blog/healthcare-analytics). ## The questions this actually answers Not dashboards anyone would commission, but the operational questions that arrive faster than a reporting team can absorb them. - Denial patterns by payer, code and provider, this week rather than last quarter. - AR ageing that a manager can slice themselves without waiting for a rebuild. - Provider and site productivity, compared against the same period last year. - Claim throughput and clearinghouse rejections, alerted the moment a rate moves rather than found in a review. - Payer mix and reimbursement variance across contracts. ## Why compliance is the deciding factor here In most industries the security review happens after the buying decision. In healthcare it is the buying decision, so it is worth stating the posture plainly rather than in a badge. - HIPAA BAA — Enterprise, add-on on Business. - Read-only by construction: DDL and DML are rejected at the query layer before any statement reaches your database, and we supply the SQL to create a read-only user per source. - Credentials encrypted at rest, scoped per workspace, never logged and never returned to a client. - On-premise deployment for anyone who cannot approve an outbound connection: single-tenant containers in your own VPC, zero data egress, your own model provider keys, and nothing stored on our side. - Your data is never used to train a model, ours or a provider's. ## Where the data usually lives Healthcare analytics is rarely a warehouse problem, which is why warehouse-first tools struggle with it. The answer is normally split across an EHR or practice-management system, a clearinghouse, a billing platform and a spreadsheet someone maintains by hand. Supaboard connects to 700+ sources — 123 of them without talking to us — including the databases these systems run on, so the join happens at question time instead of in a pipeline project that has to be scoped first. ## What to be careful about Two things worth saying out loud. First, an AI analyst is not a clinical decision support tool and must not be used as one; it answers operational and financial questions about data you already hold. Second, HIPAA coverage is a plan feature, not a default — it is available on Enterprise and as an add-on on Business. If PHI is in scope, that has to be settled before the trial, not after it. ## Teams who did this - [jindal-healthcare](https://supaboard.ai/case-study/jindal-healthcare) - [legend-ehr](https://supaboard.ai/case-study/legend-ehr) ## FAQ ### Will Supaboard sign a BAA? HIPAA BAA is available Enterprise, add-on on Business. If protected health information is in scope, settle that before the trial rather than after. ### Can we run it inside our own environment? Yes, on Enterprise. Single-tenant container images deployed to your VPC or data centre, no outbound dependency on Supaboard at runtime, model traffic going straight from your environment to your chosen provider, and no platform state stored on our side. ### Can it modify data in our EHR or billing system? No. Every write statement — DROP, CREATE, ALTER, TRUNCATE, INSERT, UPDATE, DELETE, GRANT, REVOKE, CALL — is rejected at the query layer before it reaches the source. We recommend a read-only database user as well, and supply the SQL for it. ### Is this clinical decision support? No, and it should not be used as such. It answers operational, financial and administrative questions about data your organisation already holds. ### How long does a healthcare deployment take? A cloud trial connects a source and answers its first question in about 5 minutes. An on-premise deployment moves at the pace of your own provisioning and review cycle, which is usually the binding constraint rather than anything on our side. ## Keep reading - Supaboard is [the AI data analyst your whole team can trust](https://supaboard.ai/). - [Enterprise](https://supaboard.ai/enterprise) - [AI data analyst software](https://supaboard.ai/ai-data-analyst) - [Customer stories](https://supaboard.ai/case-study) - [Integrations](https://supaboard.ai/integrations) --- - Site index for agents: https://supaboard.ai/llms.txt - Sitemap: https://supaboard.ai/sitemap.xml - Blog feed: https://supaboard.ai/blog/rss.xml - Product documentation: https://docs.supaboard.ai Any page on https://supaboard.ai is available as markdown: append `.md` to its path, or send `Accept: text/markdown`.