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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
A report published late last month by Forrester outlines some of the challenges that healthcare organizations face, including security and compliance issues, and provides best practices when...
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...
The healthcare sector is an increasingly complex system that incorporates various stakeholders outside of clinicians and patients. This complexity generates significant amounts of data across the continuum of care. To promote health...
Deep learning (DL), which is also known as deep structured learning or hierarchical learning, is a subset of machine learning. It is loosely based on the way neurons connect to one another to process information in animal brains. To...
A patient’s social determinants of health contribute more to her health than her genetic code or her medical care. These social determinants of health are factors outside of the traditional healthcare setting that impact an...
Risk scoring allows organizations to understand their population based on defined risk factors and anticipate the future risk of the group. A risk score is a metric used to predict aspects of a patient’s care (cost, risk of...
Since the beginning of recorded history, healthcare practitioners have striven to make their actions more effective for their patients by experimenting with different treatments, observing and sharing their results, and improving upon the...
Financially and clinically successful population health management programs must take much more into account than what happens to a patient while she is sitting on the exam table.
As the healthcare system’s responsibility...
From claims to electronic health records to input from the Internet of Things, healthcare organizations have a whole lot of data on their hands. Big data has become one of the industry’s most...
