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EHRA asks HHS to Modernizing the Regulatory Approach to RFI

EHRA asks HHS to Modernizing the Regulatory Approach to RFI

The HIMSS Electronic Health Record Association in the US has gone to respond to a new request pertaining to the information from the US Department of Health and Human Services by seeing it as a very crucial opportunity in order to examine regulations that don’t reflect the present technology or market realities and also go ahead and make corrections to the misaligned approaches when it comes to rulemaking.

It is well to be noted that EHRA submitted the comments pertaining to its reform as well as regulatory priorities to the HHS. This was in response to its request for information (RFI) ensuring lawful regulation and unleashing innovation to make America healthy again request for information. Apparently, the EHR has asked the HHS to modernizing the regulatory approach to RFI.

In its comprehensive response, EHRA went ahead and stressed the critical requirement for regulatory modernization in order to keep pace with the rapid technological advancements within digital health. The association specifically called for updates to the present regulatory approach that surrounds the RFIs and other policymaking processes, arguing that the outdated frameworks go on to create unnecessary barriers to innovation within electronic health records and related health IT solutions. The recommendation of EHRA happens to focus on creating a more flexible, responsible regulatory environment that can go ahead and adapt to the emerging technologies such as AI, interoperable systems, and also patient-centered care models and, at the same time, make sure that compliance with the present laws takes place.

Through submitting these recommendations, EHRA looks forward to supporting HHS in developing regulations that both protect the patients and also empower the healthcare organizations to leverage cutting-edge technologies in an effective way. The association emphasized that the modernized regulations are going to be very critical for achieving nationwide interoperability, thereby ultimately enhancing the health outcomes throughout the care continuum.

Why all this makes a difference?

The coalition of health technology vendors has long held the fact that an expansion of Food and Drug Administration oversight of medical device regulation to technology that is subject to oversight already by way of the Office of the National Coordinator for Health Information Technology Certification Program happens to go beyond the statutory boundaries of the 21st Century Cures Act.

The EHR Association, in a comment letter on July 14, 2025, said that as the federal government looks forward to modernizing its regulatory approach and also supporting innovation throughout healthcare, it hence urges HHS to focus on clarity, alignment with statutory intent, and at the same time, elimination of low-value or duplicative regulatory needs.

It is worth noting that the organization’s position is that EHR systems should not get regulated as medical devices, and there is in place a guidance issued in 2022, which is having a chilling effect on developers willingness to invest in tools that are required to support public health along with value-based care programs. The organization said that the EHR association goes on to urge the EHS to revoke the final guidance on clinical decision support software from the FDA, which nearly conflicts with the seven principles that are already outlined in the executive order 14219.

Notably, the guidance lacks the statutory grounding and introduces legal ambiguity and at the same time also imposes excessive costs along with deterring innovation. Rather, the EHR Association went on to say that the FDA should reinstate or even revise the 2019 draft guidance to explicitly go ahead and exclude CDS functionality, which is embedded within the certified EHRs, and also eradicate new regulatory constructs, which include time-critical decision-making along with automation bias that was introduced in the latest guidance.

According to the trade organization, other HHS regulations along with policies also happen to fall within the deregulatory scope that has been outlined in the executive order 14212 by the Trump administration.

These happen to include clarifying predetermined change control plan requirements, which address the bias when it comes to classifying products as devices that happen to impose user fees. Altering outdated HIT certification testing tools and, at the same time, better defining certain aspects of interoperability requirements.

It is well to be noted that the organization also went on to urge HHS to go ahead and clarify electronic case reporting requirements, which include automated reporting of public health conditions along with chronic disease indicators, and also offer adequate funding as well as technical support for the Centers for Disease Control and state, tribal, and local as well as territorial authorities.

The EHR Association said that rather than deregulation in this case, success happens to depend on stability, coordination, as well as capacity building.

What’s the larger trend?

In January 2025, the FDA said that while it happens to be committed to rolling out new medical devices at a much faster pace, it is going to take a science-based approach when it comes to requirements for medical devices that are powered by artificial intelligence as well as machine learning.

Thereafter, in April 2025, the assistant secretary for technology policy went on to update the guidance that healthcare organizations use to assess and optimize the safety of their EHRs. The 2025 safety assurance factors when it comes to EHR resilience guides happen to contain CURES Act revisions, which also include the use of AI for clinical care, integration of FDA-approved medical device data into EHRs, and cybersecurity.

The EHRA said in its letter that as the federal government looks forward to modernizing the regulatory approach to RFI and supporting innovation through healthcare, they urge the HHS to focus on clarity, alignment with statutory intent, and also eradication of low-value or duplicative regulatory needs. The letter further added that the recommendations with regard to this response happen to reflect the practical realities that their member companies face when it comes to delivering high-quality, patient-centered, and interoperable digital health tools.

AI in Patient Engagement Clocking Around 22% CAGR by 2029

AI in Patient Engagement Clocking

AI in patient engagement – market size in 2029

Let us look at the recent changes and trends in this domain.

In the past few years, there has been a prominent rise when it comes to the market size in terms of AI in patient engagement. The market, which happened to be valued at almost $7.70 billion in 2024, is anticipated to touch somewhere around $9.35 billion in 2025, thereby reflecting a CAGR of around 22%. This kind of market expansion during the historical period can be traced back to elements like elevated patient interaction, growth in terms of demand for custom-made healthcare, growing utilization when it comes to wearable technology, more stress on patient-centric care, data protection protocols that are enhanced, and a surge in terms of chronic disease cases.

It is well to be noted that the market size for AI in patient engagement is anticipated to go through phenomenal increase in the years to come. It is expected to rise to $20.6 billion in 2029 at a CAGR of 22%. This kind of projected growth in the forecast period can be attributed to the speeding up of integration of AI in healthcare systems, the rapid expansion when it comes to telehealth services, more focus on remote patient tracking, consistent progression of chatbots related to AI, and a boom within health data analytics.

Some of the major trends that further throttle this growth encompass the usage of AI for predictive analytics within patient care, incorporation of AI within electronic health record (EHR) systems, consistent technological advancements within AI, healthcare solutions that are personalized, and growth in natural language processing (NLP).

AI in the patient engagement market – what are the co-factors that are driving the expansion?

The growth and demand when it comes to personalized healthcare options is also set to drive the expansion when it comes to AI in patient engagement. These kinds of customized treatments, which are otherwise called personalized medicine, happen to factor in a person’s prior medical history, certain given situations, diagnostic tests, as well as genetic data. AI, apparently, gets utilized within the patient engagement so as to refine these healthcare solutions by making use of data evaluation and machine learning in order to customize the healthcare strategies and, at the same time, forecast the results of the patient and even fine-tune the care plans, which are in line with the genetics of the individual, the lifestyle, and also certain clinical aspects.

It is well to be noted that in 2022, the Personalized Medicine Coalition, which happens to be a US group that advocates for innovators, patients, and scientists, went on to report that the FDA’s Center for Drug Evaluation and Research (CDER) gave the green light to 37 novel molecular entities (NMEs).

Notably, out of 37, 35 were therapeutic, and 12 of them were classified as customized medicine as per the personalized medicine collection (PMC). Because of this, there was an increased demand for customized medical services, which has been fueling the growth of AI in patient engagement sector.

AI in patient engagement – How is the market structured across segments?

The AI in patient engagement market, which has been covered in the report, happens to be segmented by way of –

– Technology, which is chatbot, computer vision, and natural language processing (NLP).

– Delivery type, which is cloud-based or on-premise.

– Therapeutic area, which includes health and wellness, as well as chronic disease management.

– In terms of applications, which include outpatient health management, population health management, inpatient health management, as well as other applications.

– End use that includes the likes of providers, players, as well as certain other end uses.

What would be the subsegments of it?

  • By chatbot, it would include virtual health assistance, symptom checkers, as well as appointment scheduling bots.
  • By natural language processing, it will have sentiment analysis, applications, voice recognition systems, and text analysis tools.
  • By computer vision, it’ll include patient monitoring systems, image evaluation for diagnostics, and augmented reality for medical training.

What are the innovation trends that are going to redefine the AI in patient engagement market spectrum?

It is well to be noted that top firms in the AI patient engagement market are indeed going ahead and creating cutting-edge products by way of using advanced technologies such as AI patient engagement tools in order to stay ahead of the curve. These innovations are transforming healthcare by way of helping with customized treatment recommendations, automated patient tracking, and intelligent virtual health assistance, which offer improved clinical outcomes along with patient satisfaction.

These kinds of tools are AI-assisted patient engagement features, which elevate communication, deliver customized care, and, at the same time, engage patients in a very active way so as to manage their health. For instance, in October 2023, ZS Associates, which happens to be a management consulting firm based out of the US, went on to introduce the ZAIDYN connected health solution, which was an all-inclusive patient engagement platform that incorporated AI-powered virtual assistance, customized messaging, and also actionable intelligence in order to elevate the care and experience of patients. This kind of platform was developed in order to help healthcare institutions to scale their personal support throughout all care points and make sure that patients get relevant information and even resources in no time.

What are the locations where the AI in patient engagement market happens to be experiencing the fastest regional growth?

In 2024, North America happened to be the largest region in the AI in patient engagement market. There is no shred of doubt when we say that Asia Pacific is anticipated to be the fastest-growing region within the forecast period. The regions that are covered in the AI in patient engagement report are Western Europe, Asia Pacific, Eastern Europe, North America, the Middle East, South America, and Africa.

Omega Healthcare Expands Collaboration with Microsoft to Accelerate Generative and Agentic AI Capabilities, Leading RCM Innovation

Omega Healthcare Expands

Omega Healthcare, a leading provider of technology-enabled RCM services, announced today an expanded collaboration with Microsoft to further enhance its advanced AI capabilities across the revenue cycle. Through the integration of Microsoft Azure cutting-edge AI models through Azure AI Foundry, and the company’s proprietary Omega Digital Platform (ODP), Omega Healthcare launched more than 20 generative and agentic AI solutions to help healthcare organizations enhance revenue cycle operations and improve financial performance.

Since establishing the relationship with Microsoft in 2023, Omega Healthcare has rapidly deployed these solutions leveraging intelligent automation within its ODP framework helping healthcare organizations automate complex workflows, such as correspondence processing, appeal filing, denial management, and call center support—while increasing accuracy, compliance, and profitability for its customers.

“By combining the strength of our RCM and healthcare expertise with Microsoft’s advanced large language models, we are unlocking new efficiencies, previously considered by the market as too complex to automate,” said Anurag Mehta, CEO and Co-Founder, Omega Healthcare. “We are bringing scalable, tech-enabled services without requiring healthcare leaders to take on large, risky technology investments, freeing them up to focus on what matters most – delivering exceptional patient care.”

“Omega Healthcare is one of the most innovative partners we’ve worked with in applying Microsoft Azure AI Foundry capabilities – including Azure OpenAI in Foundry Models – to revenue cycle management and other real-world healthcare challenges,” said Elena Bonfiglioli, General Manager, Worldwide Healthcare at Microsoft. “Their ability to translate AI innovation into practical, high-impact solutions across the entire revenue cycle and beyond, has positioned them as a clear leader in tech-enabled RCM transformation.”

The AI solutions incorporate Microsoft Azure’s intelligent automation engines that are seamlessly integrated across the ODP, supporting the full revenue cycle: patient access, mid-cycle operations, and back-end processes. These modules combine advanced AI models in Azure AI Foundry with Omega Healthcare’s deep domain expertise to automate routine processes, such as medical coding and integrate with ODP’s AI/ML models to support key services for customers, such as clinical documentation improvement (CDI), denials management and prevention. For example, ODP can automate routine tasks across the revenue cycle, including standard denial processes, evidence retrieval, and appeal submission. Key outcomes include up to 75% reductions in AR follow-up days, faster resolution times, and improved compliance.

Omega Healthcare has also launched additional solutions for payers unleashing new potential for retrospective HCC coding automation and has deployed solutions for areas like data curation for life sciences.

“The possibilities are endless as we continue building new AI-powered capabilities across the healthcare ecosystem in collaboration with Microsoft and our customers,” added Mehta.

Highlighting the additional promise for the future of AI innovation in healthcare, a recent Everest Group survey, concluded an overwhelming majority (85%) of senior healthcare executives surveyed believe AI will improve efficiencies in RCM operations over the next five years.

“We are thrilled to be a pioneer in driving RCM transformation,” emphasized Mehta. “Our customers are already experiencing the benefits of generative and agentic AI and are excited about future developments as we work together and continue to innovate.”

Medical Device Manufacturers to Boost in Saudi Arabia

The Ministry of Industry and Mineral Resources of Saudi Arabia went on to announce on July 8, 2025, the establishment of the non-profit Association of Medical Device Manufacturers, which is aimed at supporting the development as well as growth pertaining to the medical device industry. This initiative syncs with the efforts of the ministry to empower non-profit organisations within the industrial as well as mining sectors, thereby reflecting its faith in their role when it comes to the advancement of the economic and social development of the Kingdom. As per a ministry statement, the association looks forward to encouraging high-quality investments within medical device manufacturers in Saudi Arabia, giving its support to factories’ compliance with the highest benchmarks in quality as well as safety, raising awareness in terms of locally produced devices as well as their benefits, and also elevating export efficiency when it comes to Saudi medical products.

It is well to be noted that the association is also going to offer specialized advisory services, accelerate the likelihood and pace of innovation, and also help in developing the skills of the workforce within the sector in order to make the regional as well as global competitiveness of the Kingdom more robust.

Interestingly, the establishment of the non-profit Association of Medical Device Manufacturers in Saudi Arabia happens to form part of the broader efforts by the ministry to help the non-profit sector and, at the same time, elevate its role when it comes to industry as well as mining. This initiative looks forward to increasing its contribution and also the direct impact on the GDP of the Kingdom, which is in line with the objectives of Saudi Vision 2030.

China Puts Curbs on Medical Devices Imported from the EU

China Puts Curbs on Medical Devices Imported from the EU

The Ministry of Finance in China on July 10 detailed out the measures that the country has taken against medical devices imported from the EU by way of government procurement projects. The ministry said in a notice on July 6 that when a purchaser happens to buy medical devices with a budget of more than 45 million yuan, which is about $6.2 million, if it is deemed necessary to purchase imported products by going through relevant legal procedures, the participation of EU enterprises, which excludes funded enterprises within China, should be excluded.

It is well to be noted that on July 10, when answering a question pertaining to the budget threshold of 45 million yuan, the ministry went on to say that if a budget reaches 45 million yuan or even more, the measures stipulated within the notice are going to be implemented in spite of whether the procurement happens to involve single-unit purchases of a specific product type, purchases of a specific type related to any sort of bulk buying, or the obtaining of varied kinds of products.

Interestingly, the EU-funded enterprises in China can very well participate in the government procurement projects that involve the purchase of medical devices that exceed a cost of more than 45 million yuan. However, if these products that they provide include medical devices imported from the EU, the value of the medical devices that are imported from the EU should not exceed half of the total contract value, as per the ministry.

The state-owned enterprise procurement in China is not categorised under the government procurement, and this notice does not apply, the ministry added.

Apparently, China’s commerce ministry spokesperson on July 6 had said that the European Commission had introduced measures on June 20, 2025, in order to restrict the Chinese enterprises as well as products from participating in the public procurement of medical devices in the EU, and the barriers continue to grow for the Chinese firms when it comes to public procurement.

The spokesperson added that China had repeatedly expressed, by way of bilateral dialogue, its willingness to go ahead and resolve the differences with the EU through dialogue and also via consultation as well as bilateral government procurement arrangements. However, in spite of the goodwill and sincerity by China, the EU has insisted on taking measures that are restrictive in order to build new protectionist barriers.

Hence, China has no choice but to go ahead and take reciprocal restrictive measures in order to safeguard the legitimate rights as well as interests of the enterprises in China and to maintain a fair competition scenario, said the spokesperson.

The New Tariffs Lead To US Medical Device Costs Surge

The New Tariffs Lead To US Medical Device Costs Surge

The new round of tariffs by President Donald Trump, this time targeting copper, has gone on to intensify concerns with regard to rising costs through major sectors, including healthcare.

However, in spite of the significant price pressure on aluminum, steel, and copper, all of which happen to be very vital to medical device production, there is no indication that US hospitals are stockpiling the equipment ahead of the anticipated price hike, as per the recent findings from GlobalData.

It is well to be noted that the recently announced Trump’s 50% tariff when it comes to copper imports happens to match the doubled rates that are already in effect when it comes to steel as well as aluminum. This could mean that the US medical device costs may as well bloat-up. As expected, the White House has already defended these actions, which are imposed under Section 232 of the Trade Expansion Act of 1962, as a necessary requirement in order to protect the US national security and, at the same time, revive the domestic manufacturing. However, with these kinds of tariffs, which are applied indiscriminately throughout all the import sources, which exclude only the United Kingdom on certain sets of metals, concerns are even mounting over the downstream impact, specifically for those industries that are dependent on foreign raw materials.

As per medical analyst at GlobalData, Amy Paterson, although these tariffs are most likely to impact distribution and at the same time increase the consumer costs, there are some facilities that may not have the financial resources in order to buy the devices well in advance. She added that while there are some markets that have already seen a growth in spending, it does not appear that the healthcare facilities are indeed stocking up when it comes to medical devices in order to prepare themselves for a potential price increase or even supply chain disruptions for that matter.

The increased tariffs when it comes to these essential metals will inevitably lead to growing healthcare costs, as manufacturers will pass on additional expenses to the hospitals and the medical facilities. This comes at a particularly challenging time for the healthcare sector, which is still recovering from the pandemic-related financial stress and now happens to face inflationary pressure across all operational elements. This kind of cost escalation could as well potentially delay the critical equipment upgrades and, at the same time, infrastructure improvements, especially when we talk of budget-conscious public health systems and developing nations where medical resources are already stretched thin.

Besides this, these materials happen to play a very specialised role in medical applications, which are difficult to substitute. Surgical-grade stainless steel, for example, offers unique corrosion resistance and durability, which is required for repeated sterilization. Medical-grade aluminum offers the ideal combination when it comes to lightness and strength for portable diagnostic equipment. The superiority of copper conductivity as well as anti-microbial properties makes it indispensable across sensitive medical electronics and, at the same time, infection control applications. The limited alternatives happen to mean that healthcare providers may have no choice but to absorb the rising costs, potentially compromising the other areas of patient care or, even for that matter, medical research funding. US medical device costs are indeed going to feel the pressure of such scenarios.

This kind of situation highlights the delicate balance between trade policy and healthcare accessibility. While the tariff may serve important economic objectives, however, its effects on medical technology costs can inadvertently affect the patient outcomes as well as healthcare affordability. This kind of development warrants very careful consideration coming from policymakers in order to make sure that the public health priorities are adequately safeguarded when it comes to trade decision-making processes.

Apparently, the US healthcare facility invoicing database of GlobalData, which happens to track procurement activity throughout 56 medical device categories, happens to show no significant signs of any kind of an increase when it comes to healthcare expenditures between January and May 2025.

Even when we see the May as well as the June data, as they continue to roll in, early signs happen to suggest that the healthcare purchasing behavior is still consistent and balanced, and there is no preemptive action that has been seen.

It is worth noting that this kind of spending inertia comes in spite of the broad signals that the cost pressures when it comes to the US healthcare providers may even worsen. Unlike certain exemptions, which are already applied to pharmaceuticals or even food products, the latest tariffs happen to make no carve-outs in terms of medical equipment or, for that matter, life-saving devices.

All of this goes on to mean that hospitals, which are already facing very tight budgets as well as post-pandemic financial issues, may as well have to absorb the cost of equipment, which is much higher, or may as well pass it on to the patients.

All put together, the policy shift along with the trade actions happens to illustrate a very broad Trump administration approach, which happens to be centred on cutting international dependencies in spite of the sector in question.

When it comes to the metals, the administration goes on to argue that cheap imports coming from China and also elsewhere have flooded the worldwide markets, thereby putting the US producers out of business and even threatening industrial self-sufficiency. The move to go ahead and double the tariffs on steel and aluminum reflects this ambition. Copper, which has been added to this list, goes on to signal a consistent and continued hard line that the administration has taken that could affect everything right from consumer electronics to defence manufacturing.

It is worth noting that the US apparently happens to import more than 50% of its aluminum and about one-third of its copper, most of it from countries such as Chile and Canada. By way of raising the costs when it comes to these metals, the administration looks forward to encouraging domestic mining as well as refining. But when it comes to the short term, there is no shred of doubt that the US industries are actually bleeding, and this has to be addressed.

Philips Powers Smart Healing Environment via Partnerships

Philips Powers Smart Healing Environment via Partnerships

Phillips went ahead and announced its collaborations with four leading critical care companies – Hamilton Medical, Getinge, Drager, and a leading infusion pump company, B. Braun Melsungen AG, in order to drive the operational enhancement and improve the hospital experience when it comes to patients as well as clinicians.

It is well to be noted that these collaborations happen to be centred around service-orientated device connectivity – SDC benchmarks, which help with interoperability throughout medical devices as well as platforms. SDC happens to support a common language between SDC-certified medical devices so that the clinicians can seamlessly see as well as act upon data derived from these technologies, in spite of their device manufacturer.

The open patient monitoring ecosystem of Philips helps partnerships along with outside device manufacturers, thereby enabling the future of enhanced connectivity throughout the hospital. This is a prominent step towards what Phillips calls a smart healing environment, wherein the facilities will be able to consolidate alarms and, at the same time, feed them into management workflows, which go on to meet the clinicians wherever they are.

This is going to definitely support a future system of integrated third-party devices that will enable a holistic view of patient information in one place, thereby helping the clinicians to track patients remotely and at the same time inform quicker care decision-making. The impact of these partnerships is immense, and they do sync in with the philosophy of improving care.

Alarm management when it comes to enhanced patient care

It is worth noting that alarms happen to play a very important role when it comes to hospitals by way of helping the clinicians to go ahead and respond to the needs of the patients.

The pervasive issue of alarm fatigue within hospitals goes on to represent a very crucial patient safety concern that happens to demand immediate attention. With clinicians being bombarded by hundreds of daily alarms per patient, the majority of which are either non-urgent or false, healthcare providers are faced with an unsustainable situation that compromises care quality. This kind of constant auditory assault not just desensitizes the medical staff to certain potentially critical alerts, but at the same time, it also goes on to create a very chaotic environment that negatively affects the recovery of patients. Studies happened to show that the stress from incessant alarms can elevate the blood pressure and also the heart rate in patients, thereby, ironically, triggering more monitor alerts when it comes to this vicious cycle.

It is well to be noted that Phillips does recognise that this kind of multifaceted challenge needs a systematic and collaborative approach. Through working with technology partners, they are developing integrated solutions that apply intelligent algorithms in order to prioritise as well as suppress non-critical alarms, while at the same time ensuring that genuine alerts go on to receive appropriate care and attention. Their approach happens to focus on three major areas: first, going ahead and implementing smart thresholds, which comprise individual patient baselines and not the generic parameters.

Second, coming up with unified alarm management platforms that aggregate as well as prioritise alerts throughout different tracking systems. And third, introducing a visual alarm notification system, which decreases the auditory overload while at the same time maintaining the clinical awareness.

Apparently, these technological advancements happen to be complemented by work designs that helped the clinicians to better manage responses without compromising on the vigilance. The objective is to transform hospitals from environments of constant noise to spaces of healing where the technologies support and not disrupt the care process. By way of these innovations, Phillips aims to reduce the false alarms and, at the same time, make sure that critical patient events never go unnoticed.

This is going to be made possible due to the following key actions that must be taken:

  1. Consolidating the alarm notifications – Since the clinicians will be able to get as well as act upon alarm notifications coming from multiple devices, they will be able to review as well as manage alarms from anywhere within the hospital, thereby streamlining the clinical work workflows.
  2. Creating the capacity in order to treat more patients – As hospitals continue to grapple because of staffing shortages, alarm management enables Freeing up clinical capacity by allowing the clinicians to track as well as address patient alarms while at the same time treating other patients where they are.
  3. Reduction of noise in patient rooms – Enhancing connectivity will also help devices to share data bi-directionally so that the clinicians can view as well as manage alarms from anywhere they are, which may also help in reducing the noise within patient rooms.
  4. Enhancing the response times – SDC will also enable timely intervention since the clinicians will be able to raise alarms as required from their mobile devices, thereby helping them to deliver prompt care across patients.

Powering smart healing environment by way of open and connected systems

Clinicians happen to make critical decisions every day that are based on data coming from a wide array of medical devices. Many of these devices don’t talk to each other, however, it is indeed now the time to simplify that reality. Through making data more accessible by way of SDC, a smart healing environment is created by Philips that happens to work better for both patients as well as clinicians.

The fact is that the challenges that the patients as well as the clinicians face are indeed very real, and Phillips is on the cusp of making a very meaningful as well as lasting effect. These collaborations mark a key landmark when it comes to the advancement of medical device connectivity, thereby making the open ecosystem a benchmark within the healthcare spectrum in order to enhance the experience pertaining to hospitals when it comes to one and all.

FDA Publishes Updated AI-Enabled Medical Devices List

FDA Publishes Updated AI-Enabled Medical Devices List

FDA Publishes Updated AI-Enabled Medical Devices List

The U.S. Food and Drug Administration (FDA) announced its extended public list of AI-enabled medical devices, increasing transparency and awareness.

To increase openness and understanding regarding regulated artificial intelligence (AI) technology in healthcare, the U.S. Food and Drug Administration (FDA) published an enlarged public list of AI-enabled medical devices on July 10, 2025.

The FDA defines AI-enabled devices as those leveraging artificial intelligence or machine learning (AI/ML) for one or more functions integral to clinical care. These devices are either classified as software intended to operate as a medical device (Software as a Medical Device, or SaMD) or are embedded within broader systems.

The AI-Enabled Medical Device List is not merely a catalogue—it is a strategic tool developed to serve multiple stakeholders:

  • For developers and digital health innovators: The list offers visibility into how the FDA is evaluating AI technologies, helping shape future innovations and regulatory submissions.
  • For hospitals and healthcare providers: It enhances transparency in medical AI, enabling better-informed decisions when adopting new technologies.
  • For patients and the public: It clearly signals when medical devices incorporate AI, fostering trust in safety, accuracy, and oversight.

Emphasis on Transparency, Lifecycle, and Foundation Models

In parallel with device authorisations, the FDA is pushing forward several initiatives designed to safeguard patient safety and promote responsible AI development.

1. Lifecycle Management via PCCPs

The final guidance on Predetermined Change Control Plans (PCCPs) supports the safe and predictable evolution of AI systems over time. It allows manufacturers to update algorithms (e.g., via retraining or threshold adjustments) without needing full resubmission—as long as predefined plans and monitoring criteria are approved.

2. Foundation Model Tagging (LLMs)

The FDA also plans to label or flag devices that utilise large language models (LLMs) or multimodal AI architectures, enhancing transparency on how AI tools operate, especially those that process free text, voice, or diverse inputs.

3. Good Machine Learning Practice (GMLP)

The agency continues to encourage adherence to GMLP principles, covering everything from dataset diversity to clinical evaluation and post-market monitoring.

What Hospital Leaders Need to Know

The explosion in FDA-cleared AI devices—211 in under 10 months—isn’t just a regulatory milestone. It’s a call to action for hospital management teams, clinical engineers, and CIOs.

Key Strategic Considerations:

  • Procurement & Integration: AI tools must fit into existing EHR/PACS and IT infrastructures, minimising clinician friction.
  • Clinical Oversight: Institutions should form AI governance committees to vet tools, review efficacy, and track real-world performance.
  • Compliance Monitoring: With PCCPs and evolving guidance, hospitals must track AI system updates and ensure regulatory alignment.

Education & Trust: Staff training and patient communication are critical to the successful adoption of AI-driven care protocols.

What’s New: 211 Devices Cleared Since Sept 2024

Since September 28 2024, the FDA has certified or approved 211 AI-enabled medical devices, demonstrating the rapid adoption of algorithmic intelligence in clinical operations.

According to multiple independent analyses, the radiology panel continues to dominate these new clearances, reflecting both market demand and technological maturity in medical imaging.

Breakdown by Medical Speciality Panel (July 2025 update):

Specialty Panel % of AI Devices
Radiology 81%
Cardiovascular 10%
Neurology   4%
Hematology   2%
Pathology, Ophthalmology, Others   3% combined

 

Radiology at the Forefront

The sheer volume of AI devices in radiology is no surprise. Deep learning’s exceptional performance in image classification, anomaly detection, and pattern recognition has made it ideal for applications such as:

  • Mammography and breast cancer risk prediction
  • Lung nodule detection on CT scans
  • Fracture identification in X-rays
  • Workflow triage and flagging of critical cases

One standout addition is Clairity’s Allix5 system—a breast cancer risk assessment AI that was granted De Novo authorisation under the newly assigned SEZ product code, marking a significant innovation in preventive oncology.

Other Panels Gaining Ground

Cardiovascular Devices

AI tools in cardiology are emerging in rhythm analysis, echocardiographic image assessment, and heart failure risk scoring. Roughly 10% of the new approvals belong to this category.

Neurology & Hematology

Neurological devices include stroke-detection and seizure-prediction systems, while haematology sees applications in automated cell counting and blood film analysis.

Dental, Ophthalmology & Other Panels

These fields are early adopters of AI-enabled detection tools—e.g., automated caries detection, retinal disease screening, and pathology slide analysis.

Full FDA list is available here: FDA AI-Enabled Medical Devices

Final Takeaway

With this July 10 update, the FDA’s running tally of AI-enabled devices exceeds 840 listings, out of which 211 were added in just the past nine months. While radiology remains the epicentre, a broader shift is underway—signalling that AI’s role in medicine is maturing from niche to necessity.

Hospital leaders must now pivot from exploration to execution—developing robust frameworks to harness this next generation of intelligent healthcare tools for both patient care and operational efficiency.

Optimizing Recruitment for Clinical and Healthcare Research

Optimizing Recruitment for Clinical

Finding the right people is key to successful study. In clinical and healthcare research, this can be a major challenge. Delays in hiring can slow down progress and raise costs. That’s why optimizing recruitment for clinical research is so important.

It helps bring the best talent on board quickly. With better hiring strategies, your research team can stay on track and reach goals faster. Let’s explore how to make it work.

Understanding Recruitment Challenges in Clinical Research

Clinical research faces numerous recruitment issues. Challenges include finding qualified patients, acquiring trained staff, and adhering to deadlines. Poor planning can lead to delays and increased costs.

Recruitment professionals also face strict regulations and patient privacy laws. These can make the process slower and harder. Knowing these challenges is the first step to finding better solutions.

Using Technology to Improve Recruitment

Technology helps speed up the hiring and enrolment process. Tools like databases and online forms save time and reduce errors. They also help reach more people in less time.

Social media and mobile apps can also support recruitment. These tools help share study information quickly. They also allow researchers to connect with a broader audience.

Building Strong Healthcare Research Teams

Strong teams are the core of any research project. Hiring experienced and trained staff ensures smoother work and better results. Healthcare research staffing should focus on both skills and teamwork.

It’s also important to support the staff after hiring. Training and clear communication help them do their jobs well. A strong team leads to faster, better research outcomes.

Engaging Patient and Caregiver Panels

Involving the right patients is key to research success. Patient and caregiver panels for market research can revolutionize recruitment strategies. They provide access to real people with real experiences.

These panels help researchers find suitable participants faster. They also offer insights into what patients want and need. This makes studies more accurate and meaningful.

Effective Clinical Trial Recruitment Strategies

Smart strategies save time and money. One method is pre-screening patients to see if they qualify. This helps avoid delays later on.

Working with doctors and clinics can also help. They already know patients who may be good for trials. This builds trust and improves results.

Best Practices for Patient Recruitment in Healthcare

Simple and effective communication is key when reaching out to patients. They need to know what the study is about and why it matters. This helps build trust and boosts sign-ups.

Offering support during the study also helps. Transportation or reminders can keep patients involved. These small steps lead to big improvements in recruitment.

Clinical Research Hiring Solutions for Success

Hiring the right staff is just as important as finding the right patients. Clinical research hiring solutions should focus on skill, speed, and long-term fit. Quick hiring without cutting corners keeps projects on schedule.

It’s also good to have a backup plan. If someone leaves, the project shouldn’t stop. A good hiring system keeps your team strong and steady.

Building Success Through Better Recruitment for Clinical Research

Recruitment for clinical healthcare research needs careful planning and the right tools. With better strategies, you can find patients and staff faster. This saves time and helps your study stay on track. Clear communication and strong support also make a big difference.

Using new technology can make the process easier. Patient panels and smart hiring help improve results. Every part of the plan matters. When done right, recruitment for clinical research leads to better outcomes and faster progress.

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InterSystems and MyCLNQ Health Partner to Advance Patient Engagement Across Asia

Modern Healthcare facilities

Partnership helps hospitals to extend reach beyond existing facilities while providing seamless patient care

Singapore, 15th July 2025 – InterSystems, a creative data technology provider managing over one billion healthcare records globally, and MyCLNQ Health, a digital health solutions leader, have announced a regional strategic partnership to help hospitals enhance patient engagement and increase service offerings across Asia. As part of the collaboration MyCLNQ will embed the InterSystems IRIS for Health™ data platform into its customizable, white-label mobile technologies to provide interoperability between MyCLNQ and other hospital systems for seamless patient care.

At the core of this partnership is a shared vision to create seamless, real-time engagement between hospitals and their patients. By combining InterSystems’ robust interoperability capabilities with MyCLNQ’s flexible mobile health solutions, hospitals across the region can now enhance care delivery, reduce integration complexity, and elevate patient satisfaction without needing to build their own patient-facing apps or expand IT teams.

“This partnership addresses a very real need for hospitals navigating digital transformation,” said Luciano BrustiaRegional Managing Director, Asia Pacific at InterSystems. “Healthcare institutions are under pressure to expand service offerings and to meet patients’ growing expectations of the care experience that should be convenient without compromising continuity of care. In partnership with MyCLNQ we are helping hospitals go beyond their traditional boundaries and deliver better care through real-time digital engagement.”

MyCLNQ Health currently operates in over eight countries, including Singapore, Indonesia, Malaysia, Vietnam, and Cambodia, offering a customizable and multilingual platform that allows hospitals to personalize features based on patient demographics and institutional needs. The white-label nature of MyCLNQ’s solution means hospitals can deploy a branded, patient-facing app rapidly while maintaining full visibility over the patient journey.

Comprehensive Patient Engagement Features

The partnership unlocks a range of tools for hospitals, such as real-time notifications and reminders, live reporting, ambulance bookings, satisfaction tracking, teleconsultation, and access to medical history. MyCLNQ enables providers to manage both patient and healthcare provider engagement on one unified platform, streamlining workflows and improving outcomes.

“We built MyCLNQ with the goal of empowering patients through convenient, technology-driven access to healthcare,” said Anwar RafiqueCo-Founder and CEO of MyCLNQ Health. “Our mobile app helps users book appointments, consult with doctors, and receive medication at home. With InterSystems IRIS for Health as the data platform, we can scale this experience across more hospitals, faster and more efficiently.”

InterSystems IRIS for Health is purpose-built to facilitate healthcare application development and interoperability at scale. Hospitals already using InterSystems platforms can integrate MyCLNQ Health with minimal time and cost, enabling rapid adoption without disrupting existing systems. For healthcare providers not yet on InterSystems, MyCLNQ Health can still be adopted seamlessly, thanks to InterSystems’ robust interoperability with healthcare standards and its scalable architecture, ensuring smooth integration with existing systems.

Empowering Hospitals with End-to-End Digital Solutions

MyCLNQ Health enables users to stay connected to their preferred healthcare providers while traveling, through a cross-border model supported by integrated payment systems and access to international medical professionals. Hospitals benefit from an end-to-end digital solution that can be launched without investing in new infrastructure or additional human resources.

The collaboration is driven by three key goals: increasing patient engagement, improving satisfaction, and empowering hospitals to extend their reach beyond their physical facilities. In a region where national blueprints are pushing for digital-first healthcare, the InterSystems–MyCLNQ partnership offers a tangible and scalable way to meet government mandates and patient expectations alike.

Looking ahead, both companies are committed to continuing innovation that supports connected care ecosystems, from primary care to diagnostics, insurance, and home health. Data captured via the MyCLNQ app, such as consultations, prescriptions, and patient feedback, can be securely fed back into the hospital’s system via InterSystems IRIS for Health, providing clinicians and administrators with a single, real-time view of each patient.

With hospitals seeking smarter, faster, and more cost-effective ways to modernize, this partnership delivers a future-ready model for patient-centric care, secure, scalable, and built for Asia’s dynamic healthcare landscape.

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