Primers

The Clinical Promise and Ethical Pitfalls of Electronic Phenotyping

October 19, 2023 - 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 enable electronic phenotyping— a process to query electronic health records (EHRs) and clinical information systems to extract patient...

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Visualizing, Interpreting, and Disposing of Healthcare Analytics Data

by Shania Kennedy

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

by Shania Kennedy

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

by Shania Kennedy

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...

Breaking Down 3 Types of Healthcare Natural Language Processing

by Shania Kennedy

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

by Shania Kennedy

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

by Shania Kennedy

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

by Shania Kennedy

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...

Patient Privacy in Healthcare Analytics: The Role of Augmentation PETs

by Shania Kennedy

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...

How Architectural Privacy-Enhancing Tools Support Health Analytics

by Shania Kennedy

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

by Shania Kennedy

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...

Data Analytics in Healthcare: Defining the Most Common Terms

by Shania Kennedy

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

by Shania Kennedy

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

by Shania Kennedy

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...

Leveraging Artificial Intelligence to Support Medication Adherence

by Shania Kennedy

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...

Exploring Data De-Identification in Healthcare

by Shania Kennedy

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...

Using a Patient-Reported Outcome Tool to Make EHR Data Actionable

by Shania Kennedy

EHRs play a critical role in guiding care coordination and delivery, but interoperability challenges can prevent EHR data from being used effectively to improve patient care. Addressing these issues is a major focus for healthcare...

Exploring Decentralized Architecture Networks in Healthcare

by Shania Kennedy

Efficient and secure health data interoperability is a top priority for providers, payers, and other healthcare stakeholders, but enabling interoperability remains a major challenge for many organizations across the country. To support...

How Does the White House AI Bill of Rights Apply to Healthcare?

by Shania Kennedy

In October, the White House unveiled its Blueprint for an AI Bill of Rights, providing guidelines for the design, use, and deployment of AI-based tools to protect Americans from harm as the use of these technologies continues to grow in...

Using Data Analytics to Improve Primary Care, Referral Management

by Shania Kennedy

Primary care is an essential facet of modern healthcare, serving as the conduit through which many patients access and engage with available medical care services. When a patient has a non-emergency health concern, a primary care physician...

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