This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
"To optimize patient and provider experience through telemedicine, stakeholders need to focus on enhancing technology interoperability and usability and providing sufficient training for efficient telemedicine use," wrote Sun, Blayney and Hernandez-Boussard. Embedded quality, value and patient-reported outcome metrics.
The following is a guest article by Anthony Murray, Chief Interoperability Officer at MRO In the ever-evolving landscape of healthcare, the quest for interoperability has become paramount. Here we explore the three main interoperability challenges that continue to shape the narrative in healthcare.
The journey to achieve interoperability in healthcare has been too long and too expensive. To address this, companies have put effort into creating interoperability tools and platforms designed to make it easier to exchange data. To accelerate interoperability efforts, however, creating more technology may not the answer.
However, amidst the IT infrastructure responses we received a number of health IT experts talking about the importance of health data and interoperability infrastructure. Here’s a look at the insights our community shared when it comes to health data and interoperability infrastructure. Parth Shah, Head of Product at AssureCare.
Lonnie Rae Kurlander has seen the healthcare system from a lot of angles: as a doctor-in-training, as a health tech CEO, and twice as a patient with a serious condition — once with a broken hip in a city far from home, and once with a mystery disease that left her too weak to walk or think.
One of the biggest problems with AI solutions in healthcare right now is getting quality data that you can use to train your AI models. When you train an AI model using generic data, it is like a child trying to teach another child. You couldn’t just throw more data at the problem.
Plus, they look at how interoperability can help address this problem and provide valuable analytics. In many cases, one of the biggest problem with these devices is that they’re not interoperable. An interoperable platform relieves the clinicians of this duty so they can spend more time with patients.
That speaks to Steve’s phrase, “ecosystem of ecosystems,” because that’s not just “digital” health — that’s now the true nature of health/care, and what is driving connectivity toward interoperability, cloud computing, and the adoption of APIs to enable health data liquidity.
For HHM Health , an FQHC serving the Dallas area, interoperability and access to medical records is vital for establishing trust with their patients and saving lives. Interoperability saves lives. He was ever so grateful and still comes to our clinic now for his follow-up appointments.
Telehealth in the pandemic was, in Philips’ words, “crucial but underused” Interoperability is still an obstacle, and, Digital technology will be pivotal in the next few years. Our health care system is only as strong as the clinicians who have been trained and committed themselves to serve it.
This is particularly crucial in the context of healthcare AI, where large datasets are required to train and validate machine learning models. This aggregation enables the creation of comprehensive datasets that are essential for training AI models. TIEs must have mechanisms for assessing and improving data quality.
At MEDITECH Live, John chatted with Mike Elder and Kelsey Reed at the southwest Georgia health system, which recently opened a Living and Learning Center to really recruit and train the next generation of nurses. The limitations of interoperability has made value-based care more complex , said Ashay Thakurat Cedar Gate Technologies.
Healthcare Analytics and Interoperability. And now, check out our community’s healthcare analytics and interoperability predictions. The interoperability community has been waiting for the updated Prior Authorization proposal after the late 2020 proposal was withdrawn due to concerns about costs and deadlines.
" Nicklaus Children's Hospital developed a technology roadmap and implemented telehealth platform enhancements with a focus on interoperability and integration with its EHR. "These included the effectiveness of training programs and standardized processes," Aftab said. User support and resources.
We have a lot of training to do, especially in telehealth. Like with the electronic health record: The very first thing for our customers that has been studied is that the most important thing is good training, good learning. So learning and training is the most critical thing. And that's what interoperability is able to do.
A Look at Epic Culture and Interoperability with Brendan Keeler. Part 1 of the interview focused on what it was like to work at Epic , as well as what opportunities exist to improve interoperability systems today. We hope this gives you a chance to catch up on anything you may have missed during the week.
Even a few students attended, a growing trend as academia recognizes the shortage of workers trained to solve thorny problems of the world. This round, the hackathon attracted hundreds of nurses from at least 20 countries and 30 U.S. What makes a good hack, anyway?
Issue of interoperability, communication and collaboration within countries, and across Europe. An impressive 7,500 nurses responded, and completed rapid training to bring the cohort up to date. Systemic issues of the nursing shortage, critical care capacity and Personal Protective Equipment (PPE) were common across countries.
Until AI training is ubiquitous, startups will need their own teams to make it happen. Forbes – Anti-Predictions For Healthcare In 2025 , Seth Joseph Favorite Forecast: Progress on data interoperability will continue, but painfully slowly. Public healthcare tech companies have a service-heavy revenue mix for a reason.
digital literacy training, user-friendly interfaces) Workflow integration: How do you seamlessly integrate telehealth into existing clinical workflows? Methodology (Queen): Data quality and bias: How do you ensure the AI is trained on diverse and representative datasets to avoid bias and ensure accurate results across different populations?
One effort launched recently by IEEEs Standards Association is to identify and promote AgeTech standards, titled Technology Standards for the Aging which included a commitment to AgeTech interoperability an objective that has eluded the AgeTech world, but that would help with the goal of making daily tasks and aging easier.
“Encouraging generative AI adoption in healthcare depends on instilling models with empathy and domain-specific knowledge, mitigating bias by connecting the data ecosystem and continuously fine-tuning models, keeping humans in the loop and developing more cost-effective ways to train and run multi-modal foundation models,” the paper recommended.
David Lareau, CEO at Medicomp Systems 2025 will mark a critical shift from AI experimentation to standardization in clinical settings, with healthcare organizations implementing strict validation protocols to ensure AI tools are trained on real patient data rather than synthetic datasets.
Interoperability: Achieving seamless interoperability between different AI systems and healthcare IT infrastructure will be crucial. Challenges and Opportunities: Regulatory Hurdles: Navigating regulatory complexities and ensuring compliance with healthcare standards will be a key challenge.
The number of DHBs with telehealth programme managers has increased and more DHBs are also providing telehealth training to staff. New entrants to the video conferencing market are often open and interoperable by nature, and better connectivity has also boosted growth. Telehealth also improves access to education and training.
Interoperability Challenges Data Standards: The lack of standardised data formats and interoperability standards can hinder the integration of healthtech solutions with existing healthcare systems. Interoperability Standards: Support the adoption of standardized data formats and interoperability standards.
"It is crucial for our students to train and be assessed in a manner that is consistent with clinical practice in the hospital setting," said Dr Sean Jolly, Senior Lecturer at the Adelaide Health Simulation. The exam involves mock patient scenarios where students may be required to access made-up patient medical records.
Federally-sponsored innovation hubs can manage the scoring and evaluation of technology, usability, and interoperability while keeping end-users at the center of the design and development process. They can bring together researchers, technologists, and healthcare professionals to push the boundaries of what’s possible in medical technology.
Director at NTT DATA On February 8, 2024, the Office of the National Coordinator for Health Information Technology (ONC) published the Health Data, Technology, and Interoperability (HTI-1) Final Rule in the Federal Register, which took effect on March 11, 2024. The initial investment in updating technology and training staff is notable.
Used by thousands worldwide, Mirth Connect by NextGen offers cost-effective interoperability. We have also invested in Mirth training.” It is a beloved tool, but not much has been said about it over the past few years. Mirth users and developers will be happy to know that NextGen is investing in Mirth. “We
Virtual reality (VR) for surgery: Companies like Surgical Theater and Osso VR are using VR to improve the training and planning of surgical procedures. Blockchain for healthcare: Companies like Mediledger and BurstIQ are using blockchain technology to improve the security and interoperability of healthcare data.
Tellingly, 60% of recommended imaging isn’t followed up on , and panelists said the one-two punch of limited interoperability and poor engagement play a big part in that. Colin also shared some key stats and thoughts from an RSNA panel. Read more… A Look at Changes in the New HIPAA Security Rule.
Furthermore, the growing volume of electronic health records and the need for interoperability between different systems can make it challenging to ensure compliance with all relevant regulations. There are rules on the transparency of AI models (including HTI-1) and the data they are trained on as well as HIPAA requirements.
These models are trained on vast datasets, enabling them to understand and generate human-like language with remarkable precision. Interoperability Healthcare providers use different electronic health record systems, which may not be interoperable with the large language models used in telemedicine.
Expressing similar sentiments, Dr Keren Priyadarshini, Regional Business Lead, Worldwide Health, Microsoft Asia said that the pandemic has resulted in more openness to try new ways of working – for example, her company has partnered with neurologists to adopt mixed reality models for training.
Drawing from this experience on both sides of the equation, I believe the next generation of EHRs can better meet the needs of all involved with better usability, interoperability, and flexibility. Enhancing Interoperability In addition to greater usability, EHRs need better data-sharing capabilities to bring real value to the clinical space.
We talk a lot about sharing data and how it will improve patient outcomes and interoperability, but do we talk enough about how to do it safely? Healthcare is going to be rapidly advancing as patient data becomes more interoperable and effectively used across traditional organizational boundaries. So many good answers here!
High Switching Costs: If a HealthTech product is deeply integrated into a healthcare provider's workflow or involves a significant investment in training, it becomes costly and disruptive for them to switch to a competitor. Brand Recognition and Trust: In healthcare, trust is paramount.
Visit [link] Intro to the Argonaut Project The Argonaut Project is a private sector initiative to advance industry adoption of modern, open interoperability standards. FHIR is a lightweight, RESTful API that allows healthcare organizations to share data in a way that is secure, efficient, and interoperable.
Such was the case at the first ever collaborative conference for health information exchange (HIE), interoperability, public health, and health equity. The Civitas Networks for Health 2022 Annual Conference, a Collaboration with the DirectTrust Summit, brought together HIEs, state agencies and interoperability experts nationwide. .
The upswing of interest in telehealth and virtual care, combined with the federal focus on interoperability , has highlighted the importance across the industry of keeping patient data secure. hosts anti-phishing training and uses a password management system, so that employees don't create their own passwords. Internally, Doxy.me
Finally, a data-driven culture that prioritizes data literacy and staff training is key. By beginning with pilot projects to demonstrate value and building a robust data infrastructure that enables interoperability, healthcare organizations can create a foundation for sustained AI growth.
Efforts to integrate CDS tools into medical devices and leverage low-cost, high-quality monitoring solutions are underway, but challenges such as regulatory hurdles, data privacy concerns, and the need for robust training systems remain significant barriers. Digital health technologies offer promising avenues to improve pediatric sepsis care.
We organize all of the trending information in your field so you don't have to. Join 48,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content