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How Data-Informed Risk Stratification Can Support Suicide Prevention

HealthITAnalytics As the mental health crisis in the United States persists, supporting patients and preventing adverse outcomes are top priorities for healthcare providers. However, the national behavioral health workforce shortage and access barriers to mental healthcare mean that many are unable to receive the care they need, a phenomenon with potentially life-threatening consequences. Listen to the...


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Using Analytics Tools to Drive Care Coordination for Wildfire Victims

Climate change is a public health crisis, threatening human health by increasing the frequency and intensity of natural disasters like hurricanes, tropical storms, floods, heatwaves, wildfires, and more. These events have significant...

Exploring the National Academy of Medicine’s AI Code of Conduct

The question of how the healthcare industry can leverage artificial intelligence (AI) ethically and responsibly has become a hot topic in recent years. Throughout 2022 and 2023, industry professionals, policymakers, and regulatory...

Healthcare Stakeholders Plan to Prioritize AI, Analytics This Year

As the new year begins, health systems are gearing up for new opportunities and challenges in the year ahead. For many, top priorities from last year — such as establishing analytics infrastructure, deploying predictive analytics, and...

Top Health IT Analytics Predictions, Priorities for This Year

As health systems work to address challenges caused or worsened by the COVID-19 pandemic, such as health inequity and chronic disease management hurdles, many are turning to data analytics and artificial intelligence (AI) tools....

How Will Biden’s Executive Order on Trustworthy AI Impact Healthcare?

In October, President Joe Biden signed the Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence (AI). The order establishes guardrails focused on promoting safety and security, protecting...

Can Digital Twin Neighborhoods Help Tackle Health Disparities?

Addressing health disparities and improving patient outcomes are key to achieving health equity, but tackling these issues requires health systems to understand their population’s needs and develop strategies to meet them. Approaches...

How Can Medical Schools Educate Students on Artificial Intelligence?

Artificial intelligence (AI) is a hot topic in healthcare as stakeholders work to assess how these tools can be used to drive improvements in areas like clinician burnout, population health, and precision medicine. As health systems begin...

Exploring a Framework for Pediatric Data Use in Health AI Research

The number of artificial intelligence (AI) and machine learning (ML)-enabled medical devices authorized by the United States Food and Drug Administration (FDA) has risen in recent years as healthcare organizations have become increasingly...

Exploring the Role of Cleveland Clinic’s First Chief Analytics Officer

As data analytics becomes more valuable and accessible, health systems are creating leadership roles to reflect this shift. Chief data officer and chief analytics officer roles are becoming more common, but what does such a role entail? One...

Will Clinicians Become Dependent on Artificial Intelligence Tools?

Artificial intelligence (AI) technologies have garnered much attention in the healthcare industry in recent years, but the hype raises significant questions and concerns. How should these technologies be developed? For what use cases? With...

The Clinical Promise and Ethical Pitfalls of Electronic Phenotyping

As information technology (IT) methods for disease surveillance, predictive analytics, and clinical decision support become more advanced, big data mining will be crucial to ensure tools use large, high-quality datasets. Data mining can...

Visualizing, Interpreting, and Disposing of Healthcare Analytics Data

The success of a healthcare analytics project is predicated on how well project stakeholders navigate the data lifecycle, which consists of data generation, collection, processing, storage, management, analysis, visualization,...

Storage, Management, and Analysis in the Health Data Lifecycle

The data lifecycle drives data analytics projects across industries, and healthcare is no exception. Healthcare stakeholders need to have a firm grasp on each of the steps in the cycle — data generation, collection, processing,...

The Healthcare Data Cycle: Generation, Collection, and Processing

As data analytics become more necessary to advance population and public health, healthcare stakeholders may find themselves increasingly working on analytics projects. The outcomes of these projects depend on many factors, but healthcare...

How Can Predictive Analytics Help ACOs Boost Value-Based Care Delivery?

Accountable care organizations (ACOs) play a critical role in shifting the healthcare system toward value-based care, but population health management and care coordination initiatives require ACOs to invest in new technologies to achieve...

Breaking Down 3 Types of Healthcare Natural Language Processing

Healthcare generates massive amounts of data as patients move along their care journeys, often in the form of notes written by clinicians and stored in EHRs. These data are valuable to improve health outcomes but are often difficult to...

Investigating the Potential of Confidential Computing in Healthcare

Healthcare data analytics requires some of the highest data privacy and protection measures across the industry, making implementing privacy-preserving technologies a top priority. Doing so requires health systems to investigate, assess,...

Exploring Patient, Provider Perceptions of Healthcare AI

Artificial intelligence (AI) has been the subject of intense interest and scrutiny within the medical community in recent years, boasting significant pros and cons that continue to fuel debate in the healthcare sector. The Research and...

Explaining the Basics of Patient Risk Scores in Healthcare

As medicine advances and healthcare organizations move toward value-based care, providers and health systems are prioritizing population health and preventive care. But to prevent disease and adverse outcomes for patients, health systems...