Best Practices

Coalition for Health AI Unveils Draft Blueprint for Ethical AI Implementation

December 12, 2022 - The Coalition for Health AI (CHAI) has published a draft of its ‘Blueprint for Trustworthy AI Implementation Guidance and Assurance for Healthcare,’ which outlines recommendations for ethical health artificial intelligence (AI) guidelines to support high-quality care and increase AI credibility. CHAI launched in March as an initiative...

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Researchers Outline Strategies to Develop High-Quality Medical ML Models

by Shania Kennedy

A study published this month in BMC Medical Research Methodology outlines how to develop high-quality machine learning (ML)-based models for use in clinical research and medicine through the use of...

How to Create a Healthcare Data Culture

by Shania Kennedy

Data analytics and interoperability are necessary for health systems to provide high-quality care services to patients, but transitioning from pen, paper, and fax machines to computers and the cloud for data collection and sharing is only...

How to Improve Data Normalization in Healthcare

by Shania Kennedy

Data normalization refers to the process of standardizing data to reduce ambiguity and make the data useable across systems. In the context of healthcare, health information is normalized to promote data sharing and analytics across the...

Arguing the Pros and Cons of Artificial Intelligence in Healthcare

by Editorial Staff

In what seems like the blink of an eye, mentions of artificial intelligence have become ubiquitous in the healthcare industry.  From deep learning algorithms that can read CT scans faster than...

Implementing a Precision Medicine Strategy to Improve Cancer Care

by Jessica Kent

To effectively treat a disease as complex as cancer, the healthcare industry has recognized the need to tailor therapeutic approaches to individual patients – a method commonly known as precision...

New Method Uses Data-Driven Models to Inform COVID-19 Policymaking

by Jessica Kent

An international team of researchers has developed a new method to leverage multiple data-driven models for COVID-19 outbreak management. For more coronavirus updates, visit our resource page,...

How Observational Studies Can Inform Healthcare Decision-Makers

by Emily Sokol, MPH

A constant influx of data from electronic health records and insurance claims makes data analytics easier than ever before. As such, data-driven decision making in healthcare has become a must-have...

Best Practices to Develop a Social Determinants of Health Strategy

by Emily Sokol, MPH

Addressing the social determinants of health (SDOH) in a community can seem like an insurmountable task, but Humana’s best practices show that a changing health system is ready to tackle these problems. The SDOH are factors outside...

10 High-Value Use Cases for Predictive Analytics in Healthcare

by Jennifer Bresnick

As healthcare organizations develop more sophisticated big data analytics capabilities, they are beginning to move from basic descriptive analytics towards the realm of predictive insights. Predictive...

EHR, Big Data Analytics Success Hinges on Holistic Change Management

by Jennifer Bresnick

The ancient Greek philosopher Heraclitus probably didn’t have electronic health records, value-based care, and big data analytics in mind when he said that “change is the only constant in...

Data Governance Key to Hospital’s Natural Language Query Project

by Jennifer Bresnick

Whether inside or outside of the hospital, data is everywhere – and consumers of data are getting used to a certain level of speed, accuracy, and trustworthiness when they ask questions of...

Adult Vaccine Project Produces Population Health Best Practices

by Jennifer Bresnick

The majority of patients know that vaccines play a critically important role in population health management by protecting children against serious communicable diseases.  But fewer realize that...

4 Partnership Steps for Addressing Social Determinates of Health

by Jennifer Bresnick

A successful population health management program must be built on strong, engaging, and collaborative community partnerships in order to tackle the social determinates of health for needy patients,...

The Top 3 Planning Pain Points in Healthcare Big Data Analytics

by Jennifer Bresnick

“Measure twice, cut once” is the advice given to do-it-yourselfers embarking on a new home improvement project, but healthcare organizations ramping up their big data analytics initiatives...

Healthcare Big Data Success Starts with the Right Questions

by Jennifer Bresnick

In the world of big data analytics, there is perhaps one catchphrase that towers above all the other buzzwords, jargon, watchwords, and mantras.  “If you can’t measure it, you...

Laying the Groundwork for Actionable Healthcare Analytics

by Jennifer Bresnick

Even the longest journey must start with a single step, but when it comes to healthcare analytics, that first leap of faith can seem incredibly daunting.  Financial concerns, data integrity woes,...

How to Build a Successful Big Data Analytics Program in Healthcare

by Jennifer Bresnick

When it comes to big data analytics in the healthcare industry, there’s a significant difference between starting an initiative and succeeding with it.  Most hospitals and health systems...

5 Ways to Turn Chronic Disease Management Knowledge into Action

by Jennifer Bresnick

In order to cut the skyrocketing costs of chronic disease management and reduce the burdens of diabetes, heart disease, asthma, and other conditions on the patient population, providers must take...

How Big Data, EHRs, IoT Combine for Chronic Disease Management

by Jennifer Bresnick

As the nation’s medical system sheds its own reactive, sick-care skin and reinvents itself as a proactive, data-driven, team-based ecosystem of wellness and health maintenance, there is a strong...

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