Anyone who works in medical technology knows that the industry is currently focused obsessively on two prime targets – maximizing the availability of self-testing and playing its part in the common goal of achieving net zero. To those can now be added a third priority – attempting to find a way to make those twin targets mutually achievable rather than, what seems increasingly to be the case, of them canceling each other out. In the evolving landscape of MedTech, biotech, and life sciences, the
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Health IT & Digital Health-Opinion | Op-Eds | Guest Columns | Analysis, Insights - HIT Consultant
Why Patient Engagement Must Be at the Center of Value-Based Care
In the dynamic and ever-changing landscape of the healthcare industry, patient engagement continues to emerge as a pivotal element of the value-based care (VBC) model. Value-based care seeks to improve health outcomes by leveraging the Quintuple Aim framework – focusing on the patient experience, population health success, cost reduction, team wellbeing, and health equity. Value-based care models center on patient outcomes and how well healthcare providers can improve the quality of care based
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Unleashing the Dynamic Force of AI and Automation to Revolutionize Revenue Cycle Management
Every year, hospitals across the United States, regardless of their size or type, face significant financial losses amounting to hundreds of billions of dollars due to uncompensated care. This staggering figure does not even consider the additional losses incurred by hospitals as a result of underpayments from government-funded healthcare programs such as Medicare and Medicaid.
As healthcare organizations grapple with rising costs, eroding financial margins, ongoing labor shortages, and
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Digital Transformation in Healthcare: Why EAM is the Missing Piece
The sector that is perhaps the most critical candidate for digital transformation is the healthcare sector - the US healthcare system wastes approximately $1 trillion a year and most of it is due to administrative complexity leading to a wastage in medical supplies and equipment. The sector is slowly jumping on the bandwagon of digital transformation in an attempt to improve healthcare provision and increase the efficacy of processes.
In the midst of the ongoing digital transformation
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How Vertical Commercial Optimization Platforms Help Pharma Companies Do Omnichannel Marketing Right
In a world full of options, companies need to compete on every prospect and existing customer. As the number of potential channels to reach customers increases, companies need to build strategies for interacting with the right customers, through the right channels, at the right time and with the right messages. Omnichannel marketing has emerged as an effective and efficient means for optimizing this customer engagement. However, while omnichannel is far from being simple in any industry, it
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Glass Half-Full: How Practically Applied Generative AI Will Enhance Healthcare Operations
The year 2023 marked a milestone for generative AI, bringing unprecedented attention to the immense potential of AI technologies across industries. As a physician who also leads a team of data scientists, I'm thrilled to see this broader market awareness – but it’s important to recognize that AI has been quietly advancing healthcare for decades.
In fact, AI was first applied in the field of biomedical research as early as the 1970s. Over the following decades, as manual data modeling
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Is the Business of Healthcare Out of Control? Optimize Time and Reduce Administrative Burden with AI
Juggling the administrative business of a complex healthcare system with administering patient care is an undeniable challenge. Healthcare professionals, such as nurses, feel that daily in their roles. The juggling act is increasingly driving reports of burnout and opening discussions around how administrative tasks and expectations have changed within our healthcare system.
Coming out of the 2020 pandemic, there were high levels of reported burnout across healthcare
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6 Ways AI is Reshaping Healthcare Diagnostics & Treatment
Of the many industries witnessing AI-led transformation, healthcare happens to be one. Today, AI’s promise in healthcare extends beyond automation-led operational and administrative efficiencies. It’s beginning to show a measurable impact directly on patient care and diagnosis. The AI in healthcare industry is predicted to reach $187.95 billion by 2030.
Today, technology companies of all sizes are conducting AI-related research and development in healthcare. From IBM Watson’s diabetes and
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Using Network Data to Improve the Performance & Security of Clinical Apps
From diagnosis to prescription, each facet of healthcare delivery hinges on the reliability of digital infrastructure in assuring the patient-care experience. Technical issues can impact diagnostic tests, disrupt scheduling, impair the delivery of prescription services, damage campus-wide communications, and ultimately, harm the patient-care experience.
To prevent this type of risk, health system IT departments need an independent means to monitor the health of their clinical and business
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AI in Healthcare: Enhancing Data Quality & Reducing Clinician Burden
Healthcare is on the cusp of a transformative era, with artificial intelligence (AI) and large language models (LLMs) demonstrating remarkable potential in streamlining clinical documentation, quality measurement, and medical coding. As these technologies mature, forward-thinking healthcare provider organizations are exploring ways to leverage AI to improve data quality, reduce clinician burden, and ultimately enhance patient care.
AI's Role in Clinical Documentation and Coding
AI, through
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