Hospital performance, engineered from the inside
SigVy builds technologies for hospital medicine — a suite of products spanning clinical enhancement, patient experience, and workflow efficiency, aimed at the metrics hospitals answer for. We are practicing hospitalists: we know the interworkings of clinical flow because we live them, and every product — and the implementation support that comes with it — is built from that vantage point.
Support grounded in the physician experience
Our products don't arrive as a login and a manual. Because we've implemented new technology on our own floors, we help yours land it — from pilot design to the physician adoption that decides whether any of it moves a metric.
Implementation & Pilot Design
Structuring a pilot on your unit — scoping, defining what success looks like, and measuring before-and-after so the results speak for themselves.
Physician Adoption & Engagement
The part that decides everything: champion building, workflow fit, and the 3am test — getting clinicians to genuinely use a new technology, not just tolerate it.
Hospital Metrics & Quality
Length of stay, throughput, CMI, readmissions, patient experience — every product and every rollout is aimed at the point where these are actually generated: the daily work of the inpatient team.
AI & Healthcare, curated weekly
A short, curated feed of AI-in-healthcare news for hospital leaders and physician executives — refreshed automatically every week.
Insurers say AI could add billions in health costs. Billing companies disagree
AI-powered billing tools are sparking debate about whether they reduce denials or inflate claims, with insurers warning of billions in added costs while vendors argue the real problem is the fragmented billing system itself. This directly impacts hospital revenue cycle performance and profitability in the near term.
Read original →How to slash the multi-billion dollar RCM Tax™: Leveling the playing field against payer AI
Clinical-financial workflows are emerging as a strategic defense against payer-side AI that drives denials, positioning proactive revenue cycle management as critical to protecting hospital margins. Hospital leaders should understand how integrated clinical and billing processes can offset denials driven by payer algorithms.
Read original →Why utilization management is one of healthcare AI's hardest problems
Predicting reimbursement and preventing denials before they occur is emerging as one of the most complex AI challenges in healthcare, directly affecting hospital cash flow and operational planning. This signals that hospitals will need sophisticated internal AI capabilities or partnerships to compete with payer-side utilization management.
Read original →