Navigating the regulatory and ethical requirements of different medical data providers across many different countries, as well as safeguarding patient privacy, is a mammoth task that requires extra resources and expertise.
As a leader who has committed much of his career to improving healthcare — an industry that holds millions of people’s lives in its hands — I took from this terrifying incident a new guiding principle. Healthcare needs to pursue a zero-failure rate.
The progress in artificial intelligence (AI) is reshaping patient care, across various dimensions, from facilitating faster discharge to curating treatment plans and suggesting lifestyle changes.
As technology advances, AI-powered tools will increasingly reduce the administrative burdens on healthcare providers.
Truth is, there are hugely positive tailwinds at our back. But the way we’ve been thinking about the problem is holding us back from solving it. Here’s why.
We know from everyday purchasing of goods and services that you have to combine what you’re getting with what you’re paying for that good or service. But how does this basic consumer supplier concept play out in US healthcare?
Try a variety of LLM-based tools yourself. Understand the risks, limitations, and who is working on putting quality frameworks and guardrails in place. Engage your employees and partners in discussions about what might now be possible.
Hear executives from Quantum Health, Surescripts, EY, Clinical Architecture and Personify Health share their views on digital transformation in healthcare.
To fully capitalize on its potential, laboratories must ensure they understand how to use AI effectively. Without this understanding, there’s a risk of undermining the technology’s benefits and potentially harming the industry as a whole.
Clearinghouses are just one great example of how the enhanced exchange of healthcare data can increase efficiency for healthcare providers and the greater healthcare community.
The new standards emphasize the need for strong reporting and analytics that go beyond just credentialing automation. Healthcare organizations must look for solutions with comprehensive self-serve reporting capabilities to improve access and visibility into activities like potential changes to data, monitoring gaps, and more.
Despite the challenges of interoperability, regulatory compliance, technology adoption, and data privacy, the benefits of digital health are undeniable. Collaboration between policymakers, clinicians, IT developers, and patients, can help overcome these obstacles.
As technology advances, AI-powered tools will increasingly reduce the administrative burdens on healthcare providers.
To protect healthcare organizations and minimize the risk of breaches, software development companies must stay vigilant regarding the biggest vulnerability of any digital system: the users. Here are some ways to minimize irresponsible digital behavior and some tools to enhance the security of medical digital systems.
Organizations are delivering digital experiences and content to HCPs on a much larger scale than was previously possible. Integrating digital tools will advance things even further and help marketers and MLR teams maintain brand consistency and ensure compliance across digital and content operations.
Healthcare is a data-driven industry, but it's held together by incompatible, siloed data systems. Providers and payers need the ability to exchange data and update directories in real time; otherwise, they cannot ensure patients will access the high-quality care they deserve.
We need to equip pharmacists with technology that can help them to make impactful clinical interventions in the pharmacy and reimburse them for these services, which would help to address the provider shortage.
The scaling power of AI can simultaneously remove barriers to access, drive costs down system-wide and elevate the role of the human clinician so they can focus on human touch that their patients need.