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What Is Deep Learning and How Will It Change Healthcare

Many of the industry’s deep learning headlines are currently related to small-scale pilots or research projects in their pre-commercialized … See more

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URL: https://healthitanalytics.com/features/what-is-deep-learning-and-how-will-it-change-healthcare

AHIMA Launches Resource Hub for Non-Clinical AI Use in Healthcare

WEBFebruary 09, 2024 - The American Health Information Management Association (AHIMA) has launched its AI Resource Hub to provide healthcare and health information (HI) …

Category:  Health Go Health

Tech Companies Aim to Expand Use of Data Analytics in Healthcare

WEBHealthcare-based tech companies are also looking to expand the scope of AI in the operating room. Olive’s recent acquisition of Empiric Health, a clinical analytics …

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How to incentivize providers to address SDOH, health equity

WEBMay 01, 2024 - Health equity involves constant communication with local leaders and community-based organizations as well as a personalized approach to care. …

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Exploring Data De-Identification in Healthcare

WEBMarch 15, 2023 - Adequately de-identifying healthcare data is critical for health systems, payers, and other stakeholders to ensure HIPAA compliance. However, the advent of …

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AI project to help older patients understand lab test results

WEBApril 30, 2024 - A research team spearheaded by Florida State University (FSU) faculty has received a $1 million grant from the US Department of Health and Human …

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Top 12 ways artificial intelligence will impact healthcare

WEBApril 23, 2024 - Data have become increasingly valuable across industries as technologies like the Internet and smartphones have become commonplace. These data can be used …

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What Are the Benefits of Predictive Analytics in Healthcare

WEBBy Editorial Staff. February 06, 2024 - Predictive analytics in healthcare plays a major role in improving care delivery and patient outcomes. By leveraging historical …

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Data Analytics in Healthcare: Defining the Most Common Terms

WEBIn healthcare, data is collected from a multitude of sources, including EHRs, claims, social determinants of health (SDOH) information, public health surveillance, …

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Shift to Cloud Key Strategy in Healthcare, But Challenges Persist

WEBJune 06, 2022 - A report published late last month by Forrester outlines some of the challenges that healthcare organizations face, including security and compliance issues, …

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Explaining the Basics of Patient Risk Scores in Healthcare

WEBRisk scores are used to support risk stratification, a process that enables health systems to systematically categorize each patient based on health status and a …

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Are Universal EHRs Key to Healthcare Value, Trust, and AI Adoption

WEBHalf of the 16 countries included in the index have universal EHRs, while the other half have let a combination of free market forces and regulatory guidance dictate …

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Understanding De-Identified Data, How to Use It in Healthcare

WEBAccording to HHS , de-identification also “supports the secondary use of data for comparative effectiveness studies, policy assessment, life sciences research, …

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Breaking Down the Basics of the Patient-Centered Medical Home

WEBThe patient-centered medical home is a series of guidelines and best practices intended to foster more complete, accessible, and data-driven preventative …

Category:  Medical Go Health

Breaking Down the 4 Types of Healthcare Big Data Analytics

WEBAugust 14, 2023 - Big data analytics has become a hot topic as healthcare systems have transitioned to EHRs and begun pursuing digital transformation.. Patients generate …

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Visualizing, Interpreting, and Disposing of Healthcare Analytics Data

WEBOctober 04, 2023 - The success of a healthcare analytics project is predicated on how well project stakeholders navigate the data lifecycle, which consists of data generation, …

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Using Visual Analytics, Big Data Dashboards for Healthcare Insights

WEBVisual analytics and big data dashboards can provide valuable insights to healthcare organizations - if they follow some important guidelines. September 18, 2017 …

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What Is the Role of Data Analytics in Population Health …

WEBThe health management method relies on data analytics to identify populations in need of care, measure the care provided to those populations, and deliver …

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Top Data Analytics Tools for Population Health Management

WEBAugust 04, 2023 - Effective population health management requires collecting, processing, and analyzing large amounts of patient data, making data analytics tools key for any …

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How do population health, public health, community health differ

WEBThe CDC indicates that public health focuses on efforts to ensure that the conditions in which people live are healthy, whereas population health focuses on how …

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How Population Health Analytics Drives Value-Based Care Success

WEBBy Emily Sokol, MPH. August 17, 2021 - Population health analysis is closely intertwined with value-based care. Not only can population health analytics help identify patient …

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Using Data Analytics to Close Care Gaps, Improve Patient Outcomes

WEBIntermountain is rethinking the role of data analytics in closing care gaps and improving patient outcomes. August 30, 2021 - Data analytics serves as an essential …

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