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Patient Privacy in Healthcare Analytics: The Role of Augmentation PETs

HealthITAnalytics Healthcare big data analytics efforts must strike a balance between making patient data accessible to researchers and guaranteeing that it is private and protected from unauthorized individuals. To do so, stakeholders can utilize privacy-enhancing technologies (PETs). For healthcare analytics, experts recommend combining algorithmic, architectural, and augmentation PETs to ensure data...


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How Architectural Privacy-Enhancing Tools Support Health Analytics

Data analytics is critical to advancing healthcare quality and medical breakthroughs, but protecting patient data must be a priority throughout the process. Privacy-enhancing technologies (PETs) are critical tools healthcare organizations...

Using Algorithmic Privacy-Enhancing Technologies in Healthcare Analytics

Big data analytics in healthcare have the potential to advance medical research and lead to important breakthroughs, but ensuring both security and access to protected health information (PHI) can be a challenge. Healthcare data access is a...

Exploring Mayo Clinic’s AI Efforts to Enhance Organ Transplants

Organ transplants represent one of many revolutionary advancements within the field of medicine over the past century. Since the first successful human kidney transplant in 1954, the number of treatment options for once life-threatening or...

Data Analytics in Healthcare: Defining the Most Common Terms

Big data analytics play an increasingly significant role in improving care quality, patient outcomes, operational efficiency, and cost reduction for healthcare stakeholders. But navigating the healthcare data analytics landscape requires...

Breaking Down the 4 Types of Healthcare Big Data Analytics

Big data analytics has become a hot topic as healthcare systems have transitioned to EHRs and begun pursuing digital transformation. Patients generate massive amounts of data throughout their care journeys that could be used to improve...

Explaining the Basics of Blockchain Technology in Healthcare

Like artificial intelligence (AI), machine learning (ML), robotics, and virtual reality (VR), blockchain has been hyped across sectors, including healthcare. But navigating the hype and assessing the potential value of blockchain remains a...

Top Data Analytics Tools for Population Health Management

Effective population health management requires collecting, processing, and analyzing large amounts of patient data, making data analytics tools key for any population health initiative. Population health is often conceptualized based on a...

Investigating Use Cases for AI, IT Tools in Emergency Medical Services

Emergency medical services (EMS) and first response teams play an instrumental role in providing timely, life-saving healthcare. To help make emergency care more efficient and improve patient outcomes, many EMS organizations are evaluating...

Exploring the Role of Artificial Intelligence in Anesthesiology

In anesthesiology, as in all medical specialties, clinicians strive to support patient safety and improve outcomes. Some anesthesiology professionals are investigating how advanced technologies like artificial intelligence (AI) and machine...

Using AI to Support Healthcare Amid a Mental Health Provider Shortage

Healthcare provider shortages are nothing new, but recent shifts in care-seeking behaviors and rising demand for health services illustrate some of the unique challenges healthcare organizations face in addressing these shortages. A 2022...

How Elevance Health, MVP Health Care Are Leveraging Data Analytics

Payers rely on accurate, high-quality data to make health insurance processes more efficient and support improved patient outcomes. However, each beneficiary generates a plethora of data points throughout their care journeys that payers...

How NorthShore Uses AI, NLP to Tackle SDOH in the Emergency Department

Identifying and tackling social determinants of health (SDOH) are crucial aspects of any health equity strategy. But establishing how best to capture patients’ SDOH needs and develop interventions in the clinical setting remains a...

Leveraging Artificial Intelligence to Support Medication Adherence

Medication adherence remains a persistent, complex challenge for the healthcare industry as drug costs rise and prescription adherence rates sink. The Centers for Disease Control and Prevention (CDC) report that adherence to prescribed...

How Risk Stratification Can Help Combat Preterm Birth Disparities

In 2021, preterm births, which occur when an infant is born before 37 weeks gestational age, affected roughly one out of every 10 infants born in the US. The rate of preterm births rose 4 percent in a single year from 10.1 percent in 2020...

How ACOs Use Data Analytics to Improve Outcomes, Reduce Financial Risk

Accountable care organizations (ACOs) have significantly influenced the shift in the healthcare payment process from fee-for-service models to value-based care since their introduction in 2010 through the Affordable Care Act (ACA). However,...

How AI, Digital Screening Tools Can Help Flag Early Cognitive Decline

Alzheimer's disease and Alzheimer's disease-related dementias (AD/ADRD) present a challenge for clinicians as the disease burden and toll on individuals, caregivers, and health systems rise. Currently, the National Institute of...

Exploring Data De-Identification in Healthcare

Adequately de-identifying healthcare data is critical for health systems, payers, and other stakeholders to ensure HIPAA compliance. However, the advent of newer technologies, such as artificial intelligence (AI) and connected devices, has...

How a Digital ‘Baseball Card’ Supports Care Management

The Agency for Healthcare Research and Quality (AHRQ) highlights care management as a fundamental means of managing the health of defined populations and supporting the triple aim of healthcare. AHRQ and the Center for Health Care...

Using Artificial Intelligence for Aneurysm Rupture Risk Monitoring

Cerebral aneurysms, also known as intracranial or brain aneurysms, present a unique challenge for clinicians, as most are small dilations that occur at weak points along the arteries of the brain and have no symptoms. However, as the...