
A CIO’s Guide to Scalable Patient Data Management
Healthcare technology has shifted from a back-office function to a strategic imperative. This evolution presents a powerful opportunity to redefine organizations’ futures.
Healthcare technology has shifted from a back-office function to a strategic imperative. This evolution presents a powerful opportunity to redefine organizations’ futures.
Healthcare workers are already navigating issues with lack of interoperability between systems, staff and providers, and concerns about patient data privacy and security. IT teams and healthcare systems can alleviate some anxiety by giving workers the best performing digital user experience, including physicians and other staff that share responsibility for patient care.
Experts say the fallout from HHS’ restructuring could set public health efforts back by decades by dismantling critical infrastructure. It’s also important to note that these changes cast serious doubt on the future of interoperability, pointed out Jason Prestinario, CEO of data platform Particle Health.
EMS providers often treat patients without medical history, risking delays, errors, and guesswork. But new national data-sharing frameworks are starting to close that gap, bringing critical records to first responders in real time.
Reversing this trend requires connecting disparate systems to enhance interoperability and communication and achieve more efficient, cohesive workflows. Implementing the infrastructure to streamline collaboration and reduce administrative burden will improve both staff well-being and patient outcomes.
By integrating industry standards into e-prescribing software, prescribing organizations can reduce errors to improve patient outcomes and lessen the burden of medication-related errors on healthcare systems. Here’s a look at the new National Council for Prescription Drug Programs (NCPDP) Sig Standard aimed at improving prescription accuracy.
When systems integrate better, every minute saved by removing roadblocks is a minute given back to clinicians and patient care. It’s time for vendors in this space to treat interoperability as a core business strategy rather than a buzzword or another box to check as they’re going through the motions.
The key to realizing the full potential of legacy systems in modern healthcare lies in overcoming interoperability challenges — ensuring seamless data exchange between various systems while preserving the trusted reliability and security healthcare providers depend on.
By reimagining clinical trials as the initial step in designing a service ecosystem, organizations can accelerate time to delivery and lay the groundwork for successful commercialization.
The app store approach in healthcare enables seamless integration of best-of-breed solutions with existing EMR systems, fostering innovation by accelerating the adoption of technologies like AI, telehealth, and remote monitoring.
To ensure effective cost mitigation, employers can’t wait for the market to adjust — they have to punch first.
The conversations in Nashville reinforced the idea that while innovation remains essential, vendors must navigate the fine balance between bold ideas and real-world implementation, demonstrating not just promise but tangible outcomes.
Most Americans don’t understand how an administration's view on healthcare data sharing interoperability could directly impact them, pointed out Arcadia CEO Michael Meucci. More requirements around data sharing could lead to better care continuity, improved outcomes and lower costs.
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?
Following a months-long dispute, data platform Particle Health filed an antitrust lawsuit against Epic, alleging that the EHR giant is using its dominance in the market to prevent competition in the payer platform space. Particle believes the lawsuit is an “unprecedented challenge” to Epic’s market power, while Epic thinks the startup’s claims are “baseless.”
The lack of consistent data standards poses a major barrier to the exchange of information across stakeholders. As providers and administrators struggle to identify the best next step to meet new standardization rules, they need a strategy tailored to the intricacies of their program, based on their specific data workflows — which might look vastly different state to state.