Category: health

New AI Model Improves Personalized Blood Glucose Prediction for Type 1 Diabetes

Jeonbuk National University Researchers Develop an AI Model For Personalized Blood Glucose Monitoring

The hybrid model integrates three components to address key challenges and was rigorously evaluated, paving way for accurate blood glucose prediction

Patients with Type 1 diabetes (T1D) require accurate and consistent monitoring of their blood glucose levels. Over the past decade, AI models have been explored to tackle this challenge; however, inter-patient variability and large data volumes remain key challenges. In a new study, researchers present BiT-MAML, a model-agnostic algorithm aimed at personalized blood glucose prediction of patients with T1D. This approach overcomes the limitations of existing models and enables precise predictions in real clinical settings.

Type 1 diabetes (T1D) is an autoimmune condition in which the body’s own immune system attacks insulin-producing cells. As a result, patients with T1D must closely monitor their blood glucose (BG) levels and rely on insulin injections or pumps. Even small miscalculations or oversights can lead to unregulated blood sugar levels, leading to potentially life-threatening complications.

Continuous glucose monitoring (CGM) systems have emerged as a promising tool for predicting and forecasting BG levels. Over the past decade, researchers have explored artificial intelligence (AI) models for improving the prediction accuracy of CGM systems. However, differences in physiology between patients and poor adaptation for new users persist to challenge the widespread adoption of this technology in real-world settings. In addition, traditional models often focus on either short-term or long-term glucose patterns, but not both.

In an attempt to address these issues, a research team led by Professor Jaehyuk Cho from the Department of Software Engineering at Jeonbuk National University in South Korea, have developed an innovative model, named BiT-MAML, aimed at tackling inter-patient variability in BG prediction. Explaining further, Prof. Cho says, “BG dynamics are not uniform across all patients. The physiological patterns of an elderly patient are vastly different from those of a young adult.” Adding further, he says, “Our model demonstrates how this variability can be accounted for by developing more personalized models.” Their findings were published in Scientific Reports on August 20, 2025. 

BiT-MAML (where “BiT-“ stands for Bidirectional LSTM-Transformer” and “MAML” stands for “Model-Agnostic Meta-Learning”) uses hybrid architecture combining two deep learning models: bidirectional long-short-term memory (Bi-LSTM) and Transformer. Bi-LSTM processes time-series BG data bidirectionally, precisely capturing short-term patterns. Simultaneously, the transformer, utilizing a multi-head attention approach, efficiently models long-term patterns, capturing complex day-to-day and lifestyle-based cyclical variations. During training, the researchers applied a meta-learning approach known as Model-Agnostic Meta-Learning (MAML) that helps the model quickly adapt to new and diverse patients using only a small amount of training data by learning from a wide range of patient examples. 

To test model performance, the researchers adopted a Leave-One-Patient-Out Cross-Validation (LOPO-CV) scheme. “In simple terms, we train the AI on five patients, then test it on the sixth patient it has never seen before,” explains Prof. Cho. “This is effective for assessing the model’s ability to generalize to unseen patients.” 

The model demonstrated significantly reduced prediction error compared to conventional models. Notably, the prediction error varied from an excellent 19.64 milligram/decilitre (mg/dL) for one patient to a challenging 30.57 mg/dL for another. While these results represent a clear improvement over the standard LSTM models, they also highlight the persistent difficulty of managing inter-patient variability in real-world settings. “Our study shows how AI-based BG prediction models should be evaluated to improve both trust and model performance,” concludes Prof. Cho. “Addressing this challenge will contribute to the development of effective CGM models that can serve diverse patients with T1D, from children to elderly.”

These findings attest to the fact that the development of effective personalized BG prediction requires the use of advanced AI models incorporating robust evaluation methods that can transparently report the full spectrum of performance.

Reference

Title of original paper: Personalized blood glucose prediction in type 1 diabetes using meta-learning with bidirectional long short term memory-transformer hybrid model

Journal: Scientific Reports

DOI: 10.1038/s41598-025-13491-5  

How Samsung Is Tackling Sleep Apnea to Energise Your Days

Millions worldwide suffer from sleep apnea, but 80% of sufferers[1] don’t even know they have it. This serious condition causes people to pause breathing while asleep, potentially disrupting oxygen supply, lowering sleep quality, and leading to health complications including hypertension and stroke. Despite these risks, the disorder largely goes unnoticed because getting a diagnosis usually requires time-consuming and costly in-lab sleep studies.

To mark World Sleep Day 2026, a global study of Samsung Health users[2] is shedding new light on the true extent of the condition and the disruptive impact it has on your sleep. Aligned with this year’s World Sleep Day theme, “Sleep Well, Live Better,” Samsung is turning the invisible signs of sleep apnea into actionable insights through its Galaxy Watch series, helping those affected improve their sleep habits and overall health.

How Does Sleep Apnea Impact Your Sleep?

The report found that 23% of study participants are at risk of sleep apnea.

“The microarousals and awakenings that follow breathing pauses fragment your sleep,” explains behavioral sleep scientist Dr. Vanessa Hill. “Those occurrences can prevent the brain from staying in the REM and deep sleep stages necessary for cognitive and physical restoration.”

The report shows these constant disruptions take a direct toll on sleep duration and quality, leading to:

  • Reduced REM Sleep: Participants with moderate to severe sleep apnea indicators detected by their Galaxy Watch got around four minutes less rapid eye movement (REM) sleep, the phase where our brains process emotions, consolidate memories and cement learning. Without enough of it, people can experience mood instability and memory problems, impacting performance at work and overall well-being.
  • Less Deep Sleep: Sleep apnea also robs sufferers of deep sleep, approximately eight minutes less per night, on average. This is the body’s critical physical restoration phase, where growth hormone is released, muscles are repaired, and your immune system is activated. Losing out on deep sleep is why you may feel physically exhausted, have slower recovery times, and get sick more often.
  • Frequent Nightly Awakenings: Study participants with signs of sleep apnea also woke up regularly during the night and stayed awake around four minutes longer. These interruptions derail the sleep cycle, locking you into lighter, less restorative stages and making next-day exhaustion inevitable, no matter how long you slept.
  • Shorter Sleep Duration: Overall, people with a higher likelihood of sleep apnea averaged around 12 minutes less sleep. While this loss may seem minor, it can have a significant impact on overall sleep quality as your sleep cycle gets fragmented throughout the night.

Why It Matters: “Even a small loss in sleep duration is compounded by a larger loss of sleep quality,” said Dr. Hill. “This can be the difference between simply being ‘in bed’ and getting restorative rest, which could be why people feel so tired the next day.”

Dr. Hill also advocates a multidimensional approach to sleep health. “Sleep apnea affects many dimensions of sleep, duration, quality, sleep efficiency and even daytime fatigue,” she stated. “They together help determine our health and functioning.”

With sleep apnea shown to impact all aspects of sleep and lead to other health complications, detection is an essential first step in the fight against the condition.

How Does Galaxy Watch Help Detect Signs of Moderate to Severe Sleep Apnea?  

For years, sleep apnea has been difficult to detect due to the need for inconvenient hospital tests. However, Samsung offers at-home detection with a first-of-its-kind Sleep Apnea[3] feature on your Galaxy Watch.

  • How It Works: Users simply track their sleep with a compatible Galaxy Watch[4] for more than four hours over two nights within a ten-day period. Available through the Samsung Health Monitor app, the Sleep Apnea feature enables users to proactively spot signs of the condition. Initially launched in Korea, the feature has since received De Novo authorization from the U.S. FDA and is now available in 78 markets[5] worldwide and counting.
  • The Technology: Leveraging the Galaxy Watch’s BioActive Sensor, the feature tracks blood oxygen levels to determine when the user stops breathing (apnea) or is not breathing enough (hypopnea). Based on this data, the feature estimates the user’s Apnea-Hypopnea Index (AHI), which indicates the severity of obstructive sleep apnea (OSA).
  • From Awareness to Action: By detecting signs of sleep apnea early, the feature provides the data needed for an informed consultation with a medical professional. In addition to tackling sleep apnea, your Galaxy Watch can help you build habits for better holistic sleep health. Features include the Sleep Coaching program for detailed analysis and tips on how to improve sleep quality and Bedtime Guidance,[6] which recommends your optimal bedtime to ensure you consistently get enough sleep.

“For years, the inconvenience of an in-lab clinical sleep study has been a barrier to diagnosing sleep apnea,” added Dr. Hill. “Wearable technology such as Galaxy Watch is a breakthrough because it democratizes that first step. It allows people to gather meaningful data from their own beds, providing a starting point for a conversation with a healthcare professional.”

Take Control of Your Night

A good night’s sleep is the first step toward a healthier, more energized life, and Samsung is here to guide you. Samsung’s ecosystem offers end-to-end care, from detecting signs of sleep apnea on your Galaxy Watch to providing suggestions to receive professional adviceto connecting you with professional advice through our health network.

Looking ahead, Samsung is constantly innovating and improving the Sleep Apnea feature to make it even more powerful with sharper insights. Prioritize your rest today to unlock a healthier tomorrow.

[1]Obstructive Sleep Apnea National Indicator Report,” American Academy of Sleep Medicine (2023)

2Samsung Health users from the U.S., South Korea, Brazil, Canada, Mexico, Russia, Chile, South Africa, and the Philippines participated in the study from January–June 2025.

3The Sleep Apnea feature is an over-the-counter (OTC), software-only, mobile medical application operating on a compatible Samsung Galaxy Watch and phone. It is intended for on demand use. Users should not use this feature to replace traditional methods of diagnosis and treatment by a qualified clinician. The data provided by this device is also not intended to assist clinicians in diagnosing sleep disorders. For users over the age of 22 who have not been diagnosed with sleep apnea, the feature monitors for signs of moderate to severe obstructive sleep apnea (OSA).

4Availability may vary by market, carrier, model, or a paired smartphone. Available on Galaxy Watch4 series and later models. The watch requires the Wear OS 5.0 version or later and must be paired with a Samsung Galaxy smartphone with Android 12.0 or later.

5Supported markets include Australia, Austria, Azerbaijan, Bahrain, Belgium, Bolivia, Brazil, Bulgaria, Canada, Chile, Christmas Island, Cocos (Keeling) Islands, Croatia, Cyprus, Czech Republic, Denmark, Dominican Republic, Ecuador, Egypt, El Salvador, Estonia, Faroe Islands, Finland, France, Georgia, Germany, Greece, Guatemala, Hong Kong, Hungary, Iceland, Iraq, Ireland, Italy, Jordan, Kuwait, Latvia, Lebanon, Lithuania, Luxembourg, Malaysia, Mauritius, Mayotte, Mexico, Netherlands, Nicaragua, Norfolk Island, Norway, Oman, Panama, Paraguay, Peru, Philippines, Poland, Portugal, Qatar, Romania, Russia, Réunion, Slovakia, Slovenia, South Africa, South Korea, Singapore, Spain, Sweden, Switzerland, Syria, Taiwan, Thailand, United Arab Emirates, United Kingdom, United States, Venezuela, Vietnam, Yemen.

6Bedtime guidance is available on Android phone (Android 11 and above) requires Samsung Health app (v6.30.2 or later). Bedtime guidance based on 3 days of sleep analysis of user’s circadian rhythm and sleep pressure. Intended for general wellness and fitness purposes only. The measurements are for your personal reference only. Not intended for use in detection, diagnosis, treatment of any medical condition or sleep disorder. Please consult a medical professional for advice.

See our Samsung reviews 

WHOOP launches AI-powered hormonal insights for women in Ireland

WHOOP, the human performance company, today announced its expanded Women’s Health feature set in Ireland with the launch of Hormonal Symptom Insights and Predictions, a significant update to its Menstrual Cycle Insights and Pregnancy Insights offering. 

For many women, hormonal changes influence far more than just their cycle. Energy levels, sleep quality, mood and training capacity can shift throughout the month. Yet traditional tracking tools often rely on static calendar averages that fail to reflect that variability. 

Within the WHOOP app, menstruating members now receive a personalised model of their cycle that adapts over time based on their unique physiological data and historical patterns. Rather than relying on static calendar tracking, the system continuously learns from longitudinal biometric signals to provide increasingly accurate predictions that evolve as more data is collected.  

Members now have access to key cycle data that enables them to adjust daily routines, fitness programmes and recovery practices with greater clarity and anticipate potential symptoms rather than simply record them. 

New capabilities include: 

·        A dynamic date window for the next period, allowing greater anticipation and planning 

·        Tracked trends in cycle length, period length and variability, flagging irregular patterns before larger issues persist 

·        Analysed individual symptom patterns to anticipate when symptoms are most likely to occur 

·        AI-driven Daily Outlook recommendations that adapt based on menstrual phase, pregnancy stage, recovery metrics and logged symptoms 

The expansion builds on the existing Menstrual Cycle Insights feature from WHOOP, which leverages continuous biometric data including heart rate variability, resting heart rate, skin temperature, respiratory rate and recovery trends to generate personalised cycle predictions with minimal manual input. 

“What makes this powerful isn’t any single data point- it’s how the system comes together,” said Emily Capodillupo, Senior Vice President of Research, Algorithms, and Data at WHOOP. “Women don’t experience their physiology in silos. Hormones influence sleep, sleep affects recovery, and recovery shapes training response. By modeling these interactions over time – across continuous biometrics, lab data, and behavior- we can deliver guidance that reflects the full system, not just a snapshot.” 

Menstrual Cycle White Paper 

WHOOP has published a comprehensive Menstrual Cycle White Paper outlining the research, methodology and validation behind its modelling approach. The white paper demonstrates how continuous physiological monitoring improves prediction accuracy over time, how the system accounts for variable cycles, perimenopause and hormonal birth control, and how prediction windows dynamically widen or narrow based on individual variability. 

In addition to hormonal modelling, the Women’s Health feature set integrates the WHOOP Strength Trainer and Healthspan capabilities. WHOOP remains the only wearable that measures Muscular Load, quantifying the mechanical stress placed on muscles and connective tissue during resistance training. Healthspan calculates WHOOP Age and Pace of Ageing using nine physiological metrics, connecting sleep, cardiovascular fitness and strength to long-term vitality. 

WHOOP is the first human performance and healthspan system to integrate continuous hormonal modelling, predictive symptom insights, muscular load measurement and biological age tracking within a single wearable ecosystem. 

With support from the WHOOP Medical Advisory Board, including Dr Robin Berzin and Dr Hazel Wallace, and in collaboration with Clue, WHOOP continues to advance innovation in women’s health in Ireland. 

See our WHOOP reviews 

New Advanced CT Scanning Service delivered by Alliance Medical at Charter Medical Private Hospital

Charter Medical Private Hospital (CMPH) Mullingar is pleased to announce on behalf of Alliance Medical the launch of its new state-of-the-art CT scanning service in partnership with Alliance Medical, one of Ireland’s leading independent diagnostic providers. The enhanced service, delivered on-site in Mullingar, will provide significantly expanded diagnostic capacity for patients across the Midlands.

The investment by Alliance Medical in the delivery of the new CT scanning service further enhances CMPH’s role as a key regional healthcare provider, supporting faster diagnosis, earlier intervention, and improved outcomes for both public and private patients.

It also serves to strengthen the long-term partnership between CMPG and Alliance Medical and is a clear demonstration of support by Alliance Medical in the development of the hospital’s infrastructure, along with the ambitious expansion plans of CMPH.

The CT service is fully operational and accepting referrals from GPs, consultants and allied health professionals. It provides access to a comprehensive suite of high‑quality imaging services. CMPH patients can now access Neuro CT, Orthopaedic & Musculoskeletal, Vascular CT,  CT Angiography; and Oncology CT.

Cardiac CT will be added shortly, strengthening CMPH’s ability to support rapid diagnosis of cardiovascular conditions.

All imaging is carried out on-site by Alliance Medical’s specialist radiography team, with reporting completed by RCSI‑accredited consultant radiologists, ensuring clinical accuracy and rapid turnaround times.

The collaboration with Alliance Medical ensures CMPH can provide a best‑in‑class diagnostic experience while maintaining seamless integration with its surgical, outpatient and public healthcare services.

Peter Burke TD, Minister for Enterprise, Trade & Employment, said:  “This investment by Alliance Medical into Charter Medical Private Hospital Mullingar is extremely positive for local and regional healthcare. Faster access to diagnostics has a profound impact on patient outcomes, and the expansion of the service here in Mullingar will ease pressure on the wider system. It is encouraging to see continued investment in high‑quality services and clinical capacity here in Westmeath. I wish both CMPH and Alliance Medical every success with this important initiative. ”

Paula Gray, Chief Executive Officer, Charter Medical Private Hospital Mullingar, said:  “This development represents a major step forward for patient care in the Midlands. Quick access to accurate diagnostics is critical for early detection, effective treatment and peace of mind. By working closely with Alliance Medical, we can now offer patients the highest standard of imaging locally, without long waiting times or the need to travel. This is an important investment in the health of our community and the future of our hospital.”

Stephen Sullivan, Alliance Medical Unit Manager, Mullingar:  “We have seen a great uptake in referrals in the first few months of the service, and we are very excited to see this grow over the course of the year. To be able to offer patients access to high‑quality CT scans without the need to travel long distances is a great benefit for the local area.”

Charter Medical Private Hospital is a 77‑bed acute hospital delivering a broad range of clinical, surgical and diagnostic services to patients across the Midlands. It is part of a wider healthcare network employing over 300 professionals across Dublin and Westmeath.

CMPH plays a significant role in supporting the HSE through the National Treatment Purchase Fund (NTPF) and Access to Care (ATC) programmes, delivering thousands of procedures in ENT, Ophthalmology, Urology, Dermatology, and General surgery and minor procedures

The hospital is also home to the only public Minor Injuries Unit in the Midlands, treating approximately 10,000 patients per year.

CMPH accepts a wide range of insurance providers including VHI, Laya Healthcare, Irish Life Health, Garda Medical Aid and Prison Officer Medical Aid and offers a transparent self‑pay option for patients seeking immediate access to diagnostic imaging.

4D-Printed Vascular Stent Activates at Body Temperature

Researchers fabricate micro-architected coronary artery stents comprising polycaprolactone-based shape-memory polymer composite

Next-generation vascular stents can make cardiovascular therapies minimally invasive and vascular treatments safe and less burdensome. In a new advancement, researchers from Japan and China have successfully proposed a novel adaptive 4D-printed vascular stent based on shape-memory polymer composite. The stent exhibits mechanical flexibility, radial strength, biomechanical compliance, and cytocompatibility in in vitro and in vivo experiments, making them promising for future clinical applications.

Cardiovascular diseases constitute a major global health concern. Various complications that affect normal blood flow in arteries and veins, such as stroke, blood clot formation in veins, blood vessel rupture, and coronary artery disease, often require vascular treatments. However, existing vascular stent devices often require complex, invasive deployment procedures, making it necessary to explore novel materials and manufacturing technologies that could enable such medical devices to work more naturally with the human body. Moreover, the development of patient-specific, adaptively deployable vascular stents is crucial to further advance minimally invasive cardiovascular therapies and make vascular treatments safe and less burdensome for both patients and healthcare providers.

In an innovative breakthrough, a team of researchers from Japan and China, led by Professor Shinjiro Umezu from the Graduate School of Advanced Science and Engineering, Waseda University, Japan, has successfully developed a new 4D-printed vascular stent that expands naturally at body temperature, eliminating the need for external heating and potentially enabling safer and less invasive treatments. 

The team also included Yannan Li, Yifan Pan, Chaolun Xu, Jianxian He, Jingao Xu, Dr. Kewei Song, and Dr. Ze Zhang from Waseda University, Prof. Chikahiro Imashiro and Dr. Kayo Hirose from The University of Tokyo, Japan, Dr. Chen Gao from Southeast University, China, Dr. Junbo Jiang from South China University of Technology, and Prof. Runhuai Yang from Anhui Medical University, China. Their novel findings have been published online in the journal Advanced Functional Materials on January 15, 2026.

In this study, the researchers leveraged a polycaprolactone-based shape-memory polymer composite to fabricate micro-architected coronary artery stents through projection micro-stereolithography 4D printing technology. This technology utilizes ultraviolet light to create micro-sized objects with high-resolution features. Scientists used this technology to create such micro-coronary artery stents. Notably, they precisely modulated the thermal transition temperature to approximately 37 °C by utilizing diethyl phthalate as a plasticizer, facilitating quick and automatic shape recovery with no external heating. 

Finite element simulations and a viscoelastic stress relaxation model confirm that the developed stents remarkably balance mechanical flexibility and radial strength, and demonstrate long-term biomechanical compliance. Moreover, while in vitro studies using human umbilical cells exhibited excellent cytocompatibility, in vivo implantation experiments in mice indicated the potential for clinical application. 

Prof. Umezu points out the immense potential of their innovative next-generation technology. “Our work provides a robust platform for next-generation adaptive vascular stents with programmable mechanics, intelligent deployment, smoother integration with human body, and reduced need for complex procedures, offering significant potential for personalized treatment in anatomically complex vascular structure.” 

The present work may help address challenges in vascular treatments and could be utilized in other implantable medical devices. The coronary artery stents developed in this study highlights high operational feasibility and engineering controllability. These advantages also demonstrate highly tunable and personalized fabrication of stents for diverse patient groups.  The findings of the study showcase a generalized approach for the development of vascular implants, with significant potential for clinical translation. 

“Consequently, our research could contribute to future vascular stent technologies used in minimally invasive procedures, potentially simplifying deployment and reducing the need for additional equipment. The same approach may be applicable to other implantable medical devices that are designed to respond to the body’s natural environment,” highlights Prof. Umezu. 

Healthtech company, Dedalus to create 100 jobs in Ireland

Dedalus, Europe’s leading healthcare software provider, has announced it will create 100 new high-value jobs in Ireland over the next four years as part of a €10 million expansion of its Irish operations. The investment, supported by IDA Ireland, was announced by Taoiseach Micheál Martin TD.

The expansion will bring Dedalus’s total Irish workforce to 150 people, scaling its presence across software engineering, product management, clinical informatics, data and analytics, cybersecurity, and implementation services. It will further embed Ireland at the centre of Dedalus’s efforts to deliver digital health solutions to providers across the country and Europe.

The company currently partners with the HSE and a range of hospitals across the country (see below). In 2021, Dedalus acquired the online healthcare appointment platform Swiftqueue which manages over four million appointments annually across Ireland’s healthcare system.

Taoiseach, Micheál Martin TD said:
“Dedalus’s expansion in Ireland is a welcome boost to our digital health ambitions. These 100 new jobs will support the delivery of better, more connected healthcare services while reinforcing Ireland as a key player in the European health technology ecosystem.”

Minister for Enterprise, Tourism and Employment, Peter Burke TD said:
“Dedalus’s decision to expand its operations in Ireland and create 100 high-quality jobs is very welcome news. It is a strong endorsement of our talent base and our reputation as a hub for innovation in health technology. This investment will strengthen Ireland’s digital health capabilities and contribute to better healthcare outcomes for patients across the country. I thank Dedalus for their continued investment and wish the team every success as it grows and continues to deliver innovative solutions.”

Cathy McCartan, Executive Director, Dedalus Healthcare Ireland, said:
“Ireland is central to our mission to help healthcare systems deliver safer, more connected care. This investment allows us to expand our Irish team and capabilities—supporting hospitals and community services with interoperable electronic health records, diagnostics and imaging platforms, clinical decision support, and integration services. By helping unlock the full value of Ireland’s healthcare data, we can improve outcomes for patients, strengthen system-wide decision-making, and deliver real value to the country. We’re excited to grow here and to export Irish-led innovation across our wider European network.”

Michael Lohan, Chief Executive, IDA Ireland, said:
“Dedalus’s decision to expand in Ireland underscores IDA Ireland’s track record and reputation as a leading location for digital health and enterprise software. These highly skilled roles will contribute to innovation in patient care and strengthen Ireland’s position within a dynamic European health-tech sector. IDA Ireland is pleased to support this investment and looks forward to Dedalus’s continued success.”

The announcement comes as Dedalus continues to support some of the most significant digital health initiatives ever undertaken in Ireland. This year alone, the company has collaborated with healthcare partners on a range of major national initiatives, including:

  • Beaumont Hospital: go-live of new clinical applications with 3,000 hospital staff trained and using the system.
  • St James’s Hospital: modernisation of laboratory information management systems, processing over 12 million tests annually.
  • National Medicinal Product Catalogue: a central reference source for medicines and medical devices, promoting safer, more consistent prescribing, strengthening monitoring and planning, and enabling more joined-up care for patients.
  • National Terminology Service: the country’s first such service, now live, transforming how medical data is classified and harnessed across the health system.
  • National Data Dictionary: ensuring all healthcare professionals use the same definitions and language across care delivery.
  • Regional Contracts: supporting regionalised care with the deployment of digital systems across the Mid-West and West/North-West regions.

Dedalus is Europe’s only large-scale provider of electronic health records (EHRs), with applications used in the care of one in three European citizens. The company’s strong European roots offer Irish patients and policymakers the added assurance that data remains within Europe, fully compliant with EU data protection laws.

The company is actively shaping European digital health policy through its leadership in initiatives such as the European Health Data Space (EHDS) and the European Electronic Health Record Exchange. Its AI tools are developed using European health data and are fully aligned with the EU AI Act, ensuring ethical, secure, and localised innovation.

Dedalus is also the only large-scale EHR vendor that is an active member of OpenEHR International, the global community and standards organisation that develops and maintains specifications for the design, exchange, and storage of health records.

Top Healthcare Analytics Companies in 2025

The rapid digitalization of the healthcare sector has brought data to the forefront of clinical decision-making, operational efficiency, and patient outcomes. Healthcare providers, digital health startups, research institutions, and payers now rely heavily on intelligent data tools to extract value from vast volumes of clinical, administrative, and patient-generated information. Healthcare analytics companies are leading this transformation, offering solutions that improve care quality, reduce costs, enable interoperability, and support population health management. Below is a detailed list of the top healthcare analytics companies in 2025 that are redefining the future of data-driven healthcare.

1. Kodjin

Kodjin is an advanced, FHIR-native healthcare data analytics platform designed to help healthcare organizations unify fragmented data sources, standardize datasets, and generate actionable insights in real time. Built by Edenlab, Kodjin solves a core problem in healthcare: lack of interoperability and the difficulty of transforming raw medical data into structured, analyzable formats. 

The platform incorporates a powerful FHIR engine, ensuring compliance with global data standards while enabling seamless exchange of clinical information across systems, applications, and care environments. Kodjin empowers hospitals, payers, and digital health vendors with dashboards, predictive models, query tools, and analytics workflows that support population health analysis, operational management, clinical decision-making, and regulatory reporting. With its focus on clean data, speed, security, and scalability, Kodjin positions itself as a cornerstone solution for organizations undertaking digital transformation, building health information exchanges, or implementing modern data architectures.

2. Optum

Optum is one of the most established names in healthcare analytics, offering robust data intelligence solutions for providers, payers, and life sciences organizations. Leveraging one of the largest healthcare datasets in the world, Optum delivers insights that support predictive risk modeling, chronic disease management, and operational optimization. Its analytics tools help healthcare systems identify care gaps, improve value-based care performance, and reduce unnecessary utilization. Optum’s long-standing expertise, combined with AI-driven analytics and deep clinical datasets, makes it a trusted partner for organizations seeking to enhance care quality and efficiency.

3. SAS Institute

SAS Institute is a global leader in advanced analytics and AI-driven health intelligence. Its healthcare suite uses machine learning, statistical modeling, and data science to support clinical research, population health initiatives, and hospital management. Healthcare organizations rely on SAS for fraud detection, epidemiological modeling, outcome prediction, and quality improvement. With decades of experience in data analytics and an unmatched record in trustworthy algorithms, SAS empowers medical researchers and health systems to uncover patterns and derive insights that lead to evidence-based improvements in care.

4. Health Catalyst

Health Catalyst provides cloud-based analytics and data warehousing solutions specifically tailored to the healthcare sector. The company helps organizations aggregate, normalize, and analyze data from across clinical and administrative systems. Health Catalyst’s platform is widely recognized for driving measurable improvements in operational performance, cost reduction, and patient outcomes. Their tools support decision-making across quality metrics, financial operations, and patient experience. By focusing on outcome-driven analytics and real-world implementation, Health Catalyst stands out as a leading partner for hospitals aiming to accelerate digital transformation and enhance clinical efficiency.

5. IQVIA

IQVIA is a powerhouse in healthcare analytics, blending real-world data, artificial intelligence, and life sciences expertise. Known for its extensive datasets and advanced data modeling, IQVIA supports pharmaceutical companies, researchers, and health providers with tools for real-world evidence analysis, clinical trial optimization, and patient journey insights. Their platform enables organizations to analyze treatment effectiveness, improve drug development processes, and strengthen population health strategies. IQVIA’s unique ability to integrate clinical, genomic, and behavioral data makes it a foundational analytics partner for organizations focused on precision medicine and innovation.

6. Truven Health Analytics (IBM Watson Health)

Truven Health Analytics delivers evidence-based insights powered by AI and natural language processing through IBM Watson Health technologies. The company provides analytics solutions for population health management, clinical benchmarking, and operational efficiency. Truven’s tools allow hospitals to evaluate performance, improve patient safety, and align care delivery with national quality standards. Government agencies and employers also rely on Truven for policy evaluation and cost analysis. With strong analytical capabilities and a focus on actionable intelligence, Truven helps healthcare systems make informed decisions that improve outcomes and reduce costs.

7. MedeAnalytics

MedeAnalytics provides enterprise analytics solutions designed to help healthcare organizations strengthen both financial and clinical operations. Its platform offers real-time dashboards, revenue cycle analytics, and population health tools that enable healthcare leaders to uncover inefficiencies and identify improvement opportunities. MedeAnalytics focuses on intuitive data visualization, giving stakeholders at all levels—from executives to clinical managers—the ability to interpret data quickly and effectively. Their predictive analytics solutions also support resource planning, patient engagement, and quality improvement initiatives. By turning complex data into clear, actionable insights, MedeAnalytics enables organizations to achieve measurable performance enhancements.

Conclusion

The healthcare analytics landscape is becoming increasingly vital as organizations navigate growing data requirements, regulatory pressures, and the shift toward value-based care. Each company on this list plays a crucial role in advancing data-driven healthcare—whether through enhanced interoperability, predictive modeling, research analytics, or operational intelligence. Kodjin, with its FHIR-native architecture and focus on real-time data standardization, stands out as a leader for modern healthcare ecosystems seeking scalable and future-proof analytics solutions. Together, these top healthcare analytics companies empower the industry to improve patient outcomes, increase efficiency, reduce costs, and accelerate innovation. In a world shaped by digital health, analytics is not just a tool — it is the foundation of smarter, safer, and more efficient care delivery.

 

Top Healthcare Data Analytics Companies Driving Insights in 2025

In today’s rapidly evolving healthcare environment, data has become a critical asset. Organizations are seeking to harness clinical, operational and claims information to drive better outcomes, reduce costs and improve patient experiences. Healthcare data analytics firms play a vital role in this transformation—offering platforms, services and expert guidance that turn raw data into actionable intelligence. Here are seven leading companies that stand out in the healthcare data analytics space.

1. Edenlab

Edenlab specializes in healthcare data architecture, interoperability, analytics platforms and decision‑support systems connecting disparate data sources—clinical, claims, monitoring and administrative. As trusted providers of healthcare data analytics solutions, they help healthcare organizations build scalable data lakes, clinical data repositories, ETL pipelines and analytics engines that enable real‑time insights, predictive modelling and population health management. 

Their expertise in FHIR, large‑scale data processing and custom analytics has enabled providers and payers to consolidate fragmented data ecosystems, improve data governance and extract value across the care continuum. With consistent emphasis on performance, scalability and compliance, Edenlab is a partner of choice for health systems looking beyond dashboards to embedded analytics and intelligence.

2. Health Catalyst

Health Catalyst is a well‑known analytics firm dedicated exclusively to healthcare. Their platform brings together clinical, financial and operational data to support performance improvement across care delivery, cost management and regulatory reporting. With extensive experience spanning hundreds of health systems, Health Catalyst provides robust analytics libraries, machine‑learning models and workflow integration to help clients move from data to outcomes. Their strength lies in helping clients embed analytics into clinical and administrative workflows, enabling care teams to act on insights rather than just view them.

3. Innovaccer
Innovaccer offers a data activation platform designed for providers, payers and digital health innovators. Their technology connects multiple data sources—EHRs, claims, patient‑generated data and social determinants—to provide a unified patient record, analytics and care‑management tools. Through predictive risk modelling, care‑gap identification and segmentation analytics, Innovaccer helps healthcare organizations transition to value‑based care, optimize provider performance and engage patients. Their focus on data readiness, workflow integration and actionable insights positions them as a strong player in the data analytics market.

4. CitiusTech
CitiusTech is a global healthcare technology firm offering data management, consulting and analytics services. Their healthcare data analytics capabilities span advanced visualizations, predictive modelling, AI/ML integration and cloud‑based data platforms. They serve payers, providers and life‑sciences companies wishing to scale data analytics initiatives, unify fragmented systems and derive business value from large volumes of healthcare data. With deep domain experience and consulting capability, CitiusTech helps organizations build analytics road‑maps, accelerate time‑to‑insight and optimize both clinical and financial performance.

5. Merative (formerly IBM Watson Health)
Merative brings decades of experience in data, analytics and AI for the healthcare sector. Their solutions leverage clinical, genomic and real‑world evidence data to provide insights for providers, life sciences firms and research organizations. Through analytics‑enabled decision support, outcomes modelling and cost‑quality optimisation, Merative supports clients in translating data into strategic action. Their global footprint and strong product ecosystem make them a key choice for healthcare data‑analytics needs with scale and complexity.

6. Datavant
Datavant is a healthcare data and analytics infrastructure company whose core strength lies in linking and harmonising data across healthcare participants—providers, payers, research institutions and technology firms. By enabling secure data exchange and establishing linked ecosystems, Datavant allows clients to derive deeper analytics from integrated datasets rather than isolated silos. Their focus on data connectivity, de‑identification and analytic readiness supports advanced use cases such as population risk modelling, real‑world evidence generation and operational benchmarking.

7. Sophia Genetics

Sophia Genetics may be known for its genomics platform, but its analytics capability spans imaging, clinical and molecular data to deliver insights for hospitals, laboratories and biopharma. Their data‑driven medicine platform combines multi‑modal analytics and machine learning to enable precision diagnostics and actionable insights. While niche, their expertise represents a growing frontier in healthcare data analytics—where deep biomedical data is fused with analytics to move from population care to personalised medicine.

Conclusion
Healthcare data analytics is no longer a nice‑to‑have—it’s a strategic imperative. By integrating, modelling and interpreting data across clinical, operational and population domains, organisations can gain the insights needed to refine care delivery, reduce cost, engage patients and meet regulatory challenges. The companies listed above represent the leading edge of this field, offering platforms and services that transform data into actionable intelligence.

Among them, Edenlab stands out for its strong focus on scalable healthcare analytics architecture, interoperability and custom analytics solutions. Their healthcare data analytics solutions offering enables healthcare organisations to move from scattered data to strategic insight and improved decision‑making. As data volumes swell, regulatory demands increase and value‑based care intensifies, partnering with an experienced analytics firm becomes critical for turning data into impact.

 

OxygenCare expands Digital Healthcare offering with Medanets

OxygenCare is delighted to announce the introduction of the Medanets integrated Point of Care Nursing app to its ever-expanding Digital Healthcare solutions portfolio. The collaboration brings together two companies with a shared vision for improving patient care through innovative digital healthcare solutions.

Stephen Nicholson, Digital Health Manager, OxygenCare, explains: “Medanets simplifies nursing routines, supports decision making, complements and integrates with EHR systems, and releases time to care for patients.’ The CE and MDR certified app was developed in collaboration with healthcare professionals.

OxygenCare is a multi-award-winning, family-owned business with over 50 years supporting healthcare throughout the island of Ireland.

“Their dedicated digital health team and prior experience in delivering complex ICU and anaesthesia systems make them an deal partner for us,” says Medanets CEO Juha-Matti Ranta. “On top of that, their deep market knowledge and the impression made by their team further solidified our confidence in this partnership. It seems we are a natural fit in both values and working style.”

For over 30 years, OxygenCare has been transforming digital healthcare through clinical systems and working with innovative products and solutions throughout Ireland. The Medanets integrated nursing app supports point-of-care documentation and immediate access to key patient data, making it a natural fit with OxygenCare’s digital portfolio.

Combining OxygenCare’s connectivity solutions with Medanets’ mobile solutions can provide significant added value both to organisations already using an electronic health record (EHR) and to hospitals beginning their digital journey.

“We can offer healthcare providers a fast-track way to modernise operations, even in settings where an EHR is not yet in place. For instance, Medanets supports “lightweight IT” approaches such as sending PDFs directly to a document archive—a direct impactful step forward in digital empowerment,” Ranta explains.

Maurice Moran, Managing Director of OxygenCare, adds: “This Medanets offering complements our portfolio, and we see strong market potential. Together, we are currently conducting exploratory efforts in the market to identify opportunities and tailor our approach to local needs. Through this new partnership, all care phases can be managed digitally through a single provider. This partnership marks a promising step toward improving healthcare outcomes in Ireland and underscores the strength of collaboration in driving innovation forward.”