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’s AI-Driven Low Ejection Fraction ECG-AI Technology Recognized in CMS 2025 OPPS Final Rule, Expanding Access to Advanced Cardiovascular Care
Company’s ECG-AI algorithm enables earlier heart failure detection{post_date: F d, Y}
How Mayo Clinic is using AI to spot hidden heart conditions
Advisory Board: Mayo Clinic last month released a study suggesting that an artificial intelligence (AI) algorithm could be used to better diagnose a certain heart condition called low ejection fraction—one step…{post_date: F d, Y}
Data from Anumana’s New Study Show AI Algorithm Has the Potential to Detect Pulmonary Hypertension Early Using ECG Data
Data from Anumana’s New Study Show AI Algorithm Has the Potential to Detect Pulmonary Hypertension Early Using ECG DataCAMBRIDGE, Mass, June 27, 2024 Anumana, a leading AI-driven health technology company…{post_date: F d, Y}
Anumana expands AI cardiac care platform with support from Boston Scientific
Anumana announced today that it brought its diagnostic ECG-AI technology into perioperative and acute cardiac care with help from Boston Scientific. Read more on massdevice.com{post_date: F d, Y}


