As we strive to improve clinical decison making and patient outcomes – predictive analytics are a wonderful tool to help us in that goal. But you can’t just decide to throw predictive analytics into your organization; it’s a tool that needs a lot of support. We reached out to our beautiful Healthcare IT Today Community to ask — how can healthcare IT systems support predictive analytics to improve clinical decision making and patient outcomes? The following is what they had to share.
Supporting Predictive Analytics to Improve Clinical Decision Making and Patient Outcomes
Related Articles
Anumana to Showcase AI-Driven Cardiovascular Solutions at AHA and NAPCRG 2024
Company to highlight how its ECG-AI® algorithms enable earlier cardiovascular disease detection{post_date: F d, Y}
AI specialists ink deal with Pfizer to target cardiac amyloidosis
Cardiovascular Business: Anumana, a Massachusetts-based healthcare technology company focused on artificial intelligence (AI), has announced a new multi-year deal with Pfizer focused on improving the identification and diagnosis of cardiac…{post_date: F d, Y}
AI-powered device to identify low LV ejection fraction gains FDA 510(k) clearance
Healio: An AI-powered device to identify low left ventricular ejection fraction in patients at risk for HF gained 510(k) clearance from the FDA.{post_date: F d, Y}
Anumana Announces Issuance of New American Medical Association CPT Category III Codes for Novel ECG AI Analysis of Cardiac Dysfunction
DAIC: Anumana, Inc., an AI-driven health technology company from nference, Inc., today announced the American Medical Association (AMA) has issued new industry-first Category III Current Procedural Terminology (CPT) codes for…{post_date: F d, Y}