What You Need to Know
- Google has been secretly working with St. Louis-based Ascension on an initiative code-named “Project Nightingale” to gather millions of patient records across 21 states since last year, reports The Wall Street Journal.
- The collected data includes patient names, date of birth (DOB), lab results, doctor diagnoses and hospitalization records to provide a complete health history.
- After the WSJ article, Ascension officially announced its collaboration with
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Machine Learning in Healthcare | ML News, Analysis, Insights - HIT Consultant
Payment Integrity: Is AI The Real Answer to Reducing Overutilization?
Some experts estimate that $200 billion is wasted each year on unnecessary or excessive medical testing and treatment. This could be up to 40% of the unnecessary spending in the system today.
Despite the extreme focus to reduce the total amount spent on healthcare, why does extensive spending on unnecessary or excessive tests or procedures continue? The easy answer is because it is often difficult to spot what is unnecessary or excessive.
There are certainly moments when overutilization of
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Q/A: Life Image CEO Matthew Michela Talks Data Sharing Challenges in Breast Imaging
- President and CEO Matthew Michela talk about how Life Image is creating easier access to breast imaging data while also solving some of data sharing’s biggest snags.
Interoperability—it’s the long-awaited result that evolving HIT promised
to bring with it, and yet, it still gets left behind. Disparate data is not a
problem exclusive to one data type or innovation; breast imaging, for example,
has created some of the toughest challenges. However, there is now an app for
that.
Life Image,
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Syapse Leverages Machine Data Analytics to Safeguard Global Patient Data
- Today, Syapse and Sumo Logic have released an announcement furthering the support and delivery of valuable real-world data-based insights to its health system and life sciences partners. - Sumo Logic’s standardized process, security and audit capabilities are helping Syapse through a global health system network, adhere to strict healthcare data regulations.Sumo Logic, the leader in continuous intelligence, today announced that Syapse has chosen Sumo Logic to support the delivery of valuable
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Study Reveals First-Ever Predictive Model for Uncontrolled Type 2 Diabetes Related to Social Determinants
- Landmark study released from Stanford Medical School reveals a first-ever predictive model for uncontrolled type 2 diabetes mellitus related to social determinants of health. - Peer-reviewed study released August issue of Medical Care that sheds light on an important aspect of T2DM causality, and addressing them has the potential to save the US Healthcare system billionsDr. Sanjay Basu and Dr. Rajiv Narayanaswamy, in conjunction with Stanford Medical School recently released an article in an
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Google Adds Suki As One of Their First Clinical Digital Voice Assistant Partners
- Google has just added Suki—an AI-powered, voice-enabled digital assistant that lifts the administrative burden from doctors—as one of Google Cloud Global Healthcare Solutions’ first clinical digital voice assistant partners. - As one of Google Cloud’s first partners offering a digital clinical assistant, Suki will also use its voice technology to develop and improve language models for physician-focused applications.Today, Suki, an AI-powered, voice-enabled digital assistant that lifts the
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Premier Acquires Medpricer for $35M to Optimize Savings in Purchased Services
- Premier acquires Medpricer’s technology solution that enables purchased services savings across a total addressable acute care market of $160 billion. - Cloud-based platform provides purchased services management technology, including pricing benchmarks, RFP templates and other supplier data. - Acquisition enables healthcare providers to better manage third-party contracts to improve financial performance.Premier Inc., a healthcare improvement company, has acquired Medpricer, a
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BioSymetrics Launches New AI Capability to Improve Patient Outcomes
- First biomedical machine learning framework BioSymetrics introduces a new component that enables users to reduce bias, increase speed to market and improve patient outcomes.
- Augusta Architect enables data scientists in hospitals, healthcare systems, and pharmaceutical companies to perform fast, effective data pre-processing and ML.
- New component has a simple syntax that allows users to quickly process and integrate multiple, diverse datatypes and run or compare multiple ML
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3 Myths About Robotic Process Automation in Healthcare, Debunked
Patients’ wellbeing should be the central focus of healthcare. Unfortunately, this isn’t always the case. Studies show that doctors spend almost half their time on data entry and more than half of their workdays managing records instead of caring for patients. Add this lost time to the fact that healthcare in the United States is already understaffed – averaging 2.5 healthcare practitioners to every 1,000 patients – and it’s easy to see that something’s got to give to bring
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Mastercard Unveils Suite of Healthcare Solutions to Detect Fraud & Protect Health Data
- Mastercard unveils new suite of healthcare solutions to move beyond cards and reimagining how its technology and capabilities can benefit the healthcare ecosystem. - Mastercard Healthcare Solutions will develop and provide the tools needed to protect detect fraud, waste, and abuse, capture more revenue, and protect patient health data.Mastercard today unveiled Mastercard Healthcare Solutions, a new suite of products dedicated to helping healthcare partners detect fraud, waste, and abuse,
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