Interviews

How Limitations in AI, Wearables Impact Depression Research

by Shania Kennedy

Artificial intelligence (AI) and wearables have seen an uptick in interest from the healthcare sector in recent years. With the rise in demand for telemental healthcare during the pandemic, the push for digital transformation in mental...

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...

How Intelligent Automation Can Help Close Care Gaps, Boost Patient Outreach

by Shania Kennedy

In the US, access to and quality of healthcare are major drivers of health disparities and widening patient care gaps. Bridging care gaps also requires providers to have access to knowledge and resources to support these efforts, which can...

Using Real-World Data to Improve Cancer Care Delivery, Precision Medicine

by Shania Kennedy

As efforts to reduce and eventually eliminate cancer, such as President Biden’s Cancer Moonshot, gain traction, providers are tasked with finding ways to improve cancer care delivery and research. As a result, the healthcare industry...

How Data Analytics Can Help Breast Milk Banks Be More Efficient

by Shania Kennedy

In the wake of the recent baby formula shortage, parents and providers are becoming increasingly interested in other methods for providing adequate nutrition to infants who may need it. Breast milk donation banks have long played a role in...

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...

Using Data to Quantify a Key Pandemic SDOH: Social Isolation

by Anuja Vaidya

Loneliness and social isolation rose alarmingly during the COVID-19 pandemic as lockdowns proliferated and in-person gatherings were discouraged. A critical social determinant of health (SDOH), social isolation is estimated to have...

Value of an Evidence-Based AI Development and Deployment Approach

by Jill McKeon

An evidence-based AI development and deployment approach could address systemic issues and help standardize AI practices in healthcare. "We need a movement for the health AI industry that is analogous to the evidence-based medicine...

Responsible AI Deployment in Healthcare Requires Collaboration

by Jill McKeon

Responsible, secure, and ethical artificial intelligence (AI) deployment in healthcare requires an informed, multi-disciplinary, and collaborative approach. But a lack of industry standards and consensus on how to responsibly deploy AI...

How Unified Patient Records Support Whole-Person Care

by Erin McNemar, MPA

Last year, Franciscan Health, a 14-hospital system with facilities in Indiana, Illinois, and Michigan partnered with Innovaccer to create unified patient records to support whole-person care. Whole-person care is a strategy that allows...

How Machine Learning Can Guide COVID-19 Decision-Making

by Erin McNemar, MPA

As the United States continues to see high rates of COVID-19 hospitalizations, providers must make difficult decisions regarding allocating medical resources to patients who may need them most. While physicians can speculate about an...

What Are the Benefits of Natural Language Processing Technology?  

by Erin McNemar, MPA

To deliver quality care and positive patient outcomes, researchers and clinicians need comprehensive patient data and medical literature.   However, since 80 percent of essential data lies in...

Prioritizing Data Analytics, Value-Based Care Strategies at Nemours 

by Erin McNemar, MPA

In 2021, Nemours Children’s Health, a pediatric health system in Delaware, New Jersey, Pennsylvania, and Florida, took steps to improve its data analytics and value-based...

How CVS Health Uses NCCN Guidelines to Advance Precision Medicine

by Erin McNemar, MPA

Organizations are constantly looking for ways to enhance treatment and patient experience. By incorporating National Comprehensive Cancer Network (NCCN) guidelines and precision medicine, CVS Health is working to improve cancer patient...

Ethical Artificial Intelligence Standards To Improve Patient Outcomes

by Erin McNemar, MPA

As providers continue to target improved patient outcomes, more organizations are utilizing artificial intelligence, data analytics, and machine learning. However, organizations should follow ethical standards to ensure positive results...

Developing Recommended Practices For Analyzing EHR Databases

by Erin McNemar, MPA

As electronic health records continue to grow in healthcare, scientists must have a uniform set of recommendations to conduct research and analyze data. In a collaborative effort, the University of California, Irvine School of Pharmacy...

Integrating Social Determinants of Health Into Risk Prediction Models

by Erin McNemar, MPA

While many risk factors patients face concerning their health are due to genetics, researchers suggest that social determinants of health could also play a role in risk prediction. In a recent study,...

How Health Systems Implement Ethical Artificial Intelligence

by Erin McNemar, MPA

As artificial intelligence capabilities in healthcare continue to advance, regulations and policies need to be put in place to ensure health equality when exploring this new method. This past June,...

Building a Data Analytics Platform to Improve Efficiency, Outcomes

by Erin McNemar, MPA

Dayton Children’s Health Partners (DCHP) partnered with Innovaccer to get assistance creating a data aggregation platform to streamline efficiency and improve patient outcomes. DCHP is a...

AI-Based Natural Language Processing Advances Precision Medicine

by Erin McNemar, MPA

To advance their precision medicine research, Washington University School of Medicine has adopted artificial intelligence-based natural language processing tools to assist in sorting their...