What You Should Know:
Market-leading Philips PACS is now available on AWS for industry-leading availability, reliability, security, and AI-supported workflow enhancements.Expansion of the collaboration with AWS will support the development and deployment of generative AI applications that further support efficient clinical workflows and enhance diagnostic capabilities. Market-leading Philips PACS is now available on AWS for industry-leading availability, reliability, security, and
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Machine Learning in Healthcare | ML News, Analysis, Insights - HIT Consultant
4medica’s EMPI Platform Now Available on Google Cloud Marketplace
What You Should Know:
4medica®, a healthcare data quality and matching technology company, today announced that the 4medica Enterprise Master Patient Index (EMPI) platform is now available on Google Cloud Marketplace.Built on Google Cloud’s Healthcare API, 4medica’s EMPI offers healthcare organizations access to a highly scalable data management services such as referential matching and identity enrichment.
Impact of Poor Healthcare Data Quality
Far
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FDA & Cerner Enviza Collaborate to Develop AI Tools for Drug Safety
What You Should Know:
- Cerner Enviza, an Oracle company, and FDA’s Sentinel Innovation Center are teaming up to develop AI tools to extract and assess clinical notes to better understand drug safety.
- Teaming with John Snow Labs, Cerner Enviza will use AI and NLP to develop tools to extract information from clinical notes within the EHR to better aid in better understanding the effects of medicines on large populations. The project known as the Multi-source Observational
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The Future of Digital Transformation in Hospitals
Hospitals are increasingly motivated to drive digital transformation in order to improve patient outcomes, reduce costs, meet regulatory requirements and stay competitive. Additionally, digital transformation can support medical research and drive innovation in healthcare, as well as generate new revenue streams. An increasingly important tool as hospitals undergo these transformations is federated learning, a technology that we will expand on later. Federated learning is a machine learning
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PsychoGenics Launches AI Platform to Revolutionize Drug Discovery
What You Should Know:
- PsychoGenics Inc., a provider of AI-enabled phenotypic drug discovery and preclinical CRO services launches eCube®, a novel pharmaco-electroencephalography (“pharmacoEEG”) platform.
The platform supports phenotypic drug discovery, which unlike traditional target-based drug discovery, can identify novel treatments with multiple targets.
How eCube Works
eCube measures drug-induced changes to EEG spectra data and utilizes machine learning classifiers trained
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Patientory Launches Blockchain App Enabling Patients to Earn Money for Their Health Data
What You Should Know:
Patientory Inc., the creator of a blockchain-based, HIPAA-compliant, private medical data ecosystem, announced today that it has launched two solutions–Patientory Consumer Decentralized Application-designed to help patients more efficiently and securely store and earn money from their medical data and Neith Enterprise Dashboard in partnership with Prosper Healthtech, a community-backed organization committed to equity in Birmingham offering a supportive network of
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Sword Health Launches AI Solution to Predict and Prevent Unnecessary Surgeries
What You Should Know:
Sword Health, the world’s fastest-growing platform for treating pain, today announced Predict, the first AI engine using advanced machine learning to identify members who are up to 40x more likely to have surgery, more than 8 months before a decision has been made to operate, to help them avoid unnecessary and costly hip, knee, and back surgeries. With Predict, Sword can utilize a wide range of healthcare and demographic data to identify, engage and treat members
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Siemens Partners with LeanTaaS on Hospital Operational Performance
What You Should Know:
- Siemens Healthineers and LeanTaaS have entered a strategic partnership to help health systems across the country achieve and sustain peak hospital operational performance.
- The Siemens Healthineers network can now deploy system-wide tools designed to optimize capacity supported by the powerful combination of LeanTaaS’ Artificial Intelligence (AI) and Machine Learning (ML) -based predictive and prescriptive analytics solutions and the enterprise-wide management
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Can Technology Live Up to Its Promise for Clinical Trials?
By creating efficiencies with technology, CROs have an opportunity to build clinical trials of the future.
For many years, artificial intelligence (AI), machine learning (ML) and natural language processing (NLP) had a reputation in the biopharmaceutical industry as flashy buzzwords, with little concrete evidence to back up their promise. Over time, this lack of understanding has created drawn-out anticipation, leaving many skeptical about the true value of these tools.
As the
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Value-Based Administration Enables All VBC Network Stakeholders to Benefit
Despite holding the promise of delivering superior patient outcomes while lowering healthcare costs, many providers remain reluctant to embrace value-based care (VBC) reimbursement models. Progress toward VBC adoption hasn’t achieved its potential yet, hovering around 60% of all payment models from 2018 to 2021, with the remaining 40% comprised of traditional fee for service (FFS).
Though some providers simply are hesitant to abandon the FFS model that has served them well, others are leery
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