HEALTHONLINEUS

# HIMSS25 Panel Explores Interoperability Challenges in a Fragmented Data Landscape

The Healthcare Information and Management Systems Society (HIMSS) 2025 Global Conference & Exhibition (HIMSS25) is set to be a pivotal event for healthcare technology leaders, policymakers, and innovators. One of the most anticipated discussions at the conference will focus on **interoperability challenges in a fragmented data landscape**—a critical issue that continues to hinder seamless healthcare data exchange and patient care coordination.

## **The Growing Importance of Interoperability**

Interoperability—the ability of different healthcare systems, applications, and devices to exchange and interpret shared data—has long been a priority for the healthcare industry. With the rise of electronic health records (EHRs), telehealth, and artificial intelligence (AI)-driven analytics, the need for a unified, interoperable healthcare ecosystem has never been greater. However, despite significant advancements, healthcare organizations still struggle with fragmented data systems, regulatory hurdles, and technical barriers that prevent the seamless flow of patient information.

## **Key Challenges in a Fragmented Data Landscape**

At HIMSS25, a distinguished panel of experts will explore the primary challenges that continue to impede interoperability in healthcare. Some of the key issues expected to be discussed include:

### **1. Lack of Standardization Across Systems**
One of the biggest obstacles to interoperability is the lack of standardized data formats and protocols across different healthcare systems. While initiatives like **FHIR (Fast Healthcare Interoperability Resources)** and **HL7 (Health Level Seven International)** have made progress in creating common data exchange standards, many legacy systems still rely on proprietary formats that are not easily compatible with modern interoperability frameworks.

### **2. Data Silos and Fragmentation**
Healthcare organizations often operate in silos, with patient data stored in disparate systems across hospitals, clinics, pharmacies, and insurance providers. This fragmentation makes it difficult for healthcare professionals to access a comprehensive view of a patient’s medical history, leading to inefficiencies, duplicated tests, and potential medical errors.

### **3. Privacy and Security Concerns**
With increasing cyber threats and stringent regulations such as **HIPAA (Health Insurance Portability and Accountability Act)** and **GDPR (General Data Protection Regulation)**, healthcare organizations must balance the need for data sharing with the imperative to protect patient privacy. Ensuring secure data exchange while maintaining compliance with evolving regulations remains a significant challenge.

### **4. Integration of Emerging Technologies**
The rise of AI, machine learning, and blockchain presents both opportunities and challenges for interoperability. While these technologies have the potential to enhance data sharing and security, integrating them into existing healthcare infrastructures requires significant investment and technical expertise.

### **5. Policy and Regulatory Barriers**
Despite federal initiatives such as the **21st Century Cures Act**, which promotes patient data access and interoperability, inconsistent policies across states and healthcare institutions create additional roadblocks. The HIMSS25 panel will likely discuss strategies for aligning regulatory frameworks to facilitate smoother data exchange.

## **Potential Solutions and Future Directions**

The HIMSS25 panel will not only highlight challenges but also explore potential solutions to drive interoperability forward. Some of the key strategies that may be discussed include:

– **Adoption of FHIR and API-Based Data Exchange**: Encouraging healthcare organizations to implement FHIR-based APIs can improve real-time data sharing and interoperability.
– **Blockchain for Secure Data Sharing**: Blockchain technology offers a decentralized and tamper-proof method for managing patient records, enhancing security and trust in data exchange.
– **AI and Automation for Data Integration**: AI-driven tools can help standardize and clean fragmented data, making it more accessible and actionable for healthcare providers.
– **Public-Private Collaborations**: Strengthening partnerships between government agencies, healthcare providers, and technology vendors can accelerate the development of interoperable solutions.
– **Patient-Centric Data Ownership**: Empowering patients with greater control over their health data through personal health records (PHRs) and digital health wallets can enhance data accessibility and interoperability.

## **Conclusion**

As healthcare continues its digital transformation, achieving true interoperability remains a top priority. The HIMSS25 panel discussion on interoperability challenges in a fragmented data landscape will provide valuable insights into the current barriers and potential solutions shaping the future of healthcare data exchange. By fostering collaboration among stakeholders and leveraging emerging technologies, the industry can move closer to a seamless, patient-centered healthcare ecosystem.

For healthcare leaders, policymakers, and technology innovators attending HIMSS25, this panel will be a must-attend session, offering actionable strategies to overcome interoperability challenges and drive meaningful progress in healthcare data integration.

# HIMSS25: Advancing Digital Health Policy Through Collaboration with the GDHP

The healthcare industry is undergoing a rapid digital transformation, with technology playing a crucial role in improving patient care, enhancing efficiency, and driving innovation. As part of this evolution, global collaboration is essential to ensure that digital health policies align with best practices and emerging trends. The HIMSS25 Global Conference & Exhibition will serve as a pivotal platform for advancing digital health policy through collaboration with the **Global Digital Health Partnership (GDHP)**.

## **What is HIMSS25?**

The **Healthcare Information and Management Systems Society (HIMSS) Global Conference & Exhibition**, commonly referred to as **HIMSS25**, is one of the most influential events in the healthcare technology sector. This annual gathering brings together healthcare professionals, policymakers, technology leaders, and industry stakeholders to discuss the latest advancements in health information and technology.

HIMSS25 will focus on key areas such as:
– **Interoperability and Health Information Exchange**
– **Artificial Intelligence (AI) and Machine Learning in Healthcare**
– **Cybersecurity and Data Privacy**
– **Patient-Centered Care and Digital Health Equity**
– **Global Health Policy and Regulatory Frameworks**

A major highlight of HIMSS25 will be its collaboration with the **Global Digital Health Partnership (GDHP)** to drive advancements in digital health policy.

## **Understanding the Global Digital Health Partnership (GDHP)**

The **GDHP** is an international collaboration of governments, public agencies, and organizations committed to advancing digital health. Established in 2018, the GDHP fosters global cooperation to improve health outcomes through digital innovation. Member countries and organizations work together to share knowledge, develop best practices, and address challenges related to digital health implementation.

The GDHP focuses on several key areas, including:
– **Interoperability and Standards**
– **Cybersecurity in Healthcare**
– **Artificial Intelligence and Emerging Technologies**
– **Digital Health Workforce Development**
– **Patient Access and Data Governance**

By collaborating with HIMSS, the GDHP aims to strengthen global digital health policies and create a more connected and efficient healthcare ecosystem.

## **How HIMSS25 and GDHP Collaboration Will Shape Digital Health Policy**

The partnership between HIMSS25 and GDHP will focus on several critical areas to advance digital health policy:

### **1. Strengthening Global Interoperability Standards**
Interoperability remains a major challenge in digital health, as different healthcare systems use varying standards and technologies. HIMSS25 will provide a platform for GDHP members to discuss strategies for improving interoperability, ensuring seamless data exchange across borders, and enhancing patient care.

### **2. Enhancing Cybersecurity and Data Privacy**
With the increasing digitization of healthcare, cybersecurity threats have become a significant concern. HIMSS25 will facilitate discussions on best practices for protecting patient data, securing healthcare networks, and implementing robust cybersecurity frameworks globally.

### **3. Leveraging AI and Emerging Technologies**
Artificial intelligence (AI) and machine learning are transforming healthcare, from predictive analytics to personalized medicine. HIMSS25 and GDHP will explore how AI can be integrated into healthcare systems while ensuring ethical considerations and regulatory compliance.

### **4. Promoting Digital Health Equity**
Ensuring equitable access to digital health solutions is a priority for both HIMSS and GDHP. The collaboration will address disparities in digital health access, particularly in underserved and rural communities, and develop strategies to bridge the digital divide.

### **5. Developing a Skilled Digital Health Workforce**
The adoption of digital health technologies requires a well-trained workforce. HIMSS25 will highlight initiatives to enhance digital health education, upskill healthcare professionals, and prepare the workforce for the future of healthcare technology.

## **The Impact of HIMSS25 and GDHP Collaboration**

The collaboration between HIMSS25 and GDHP will have a lasting impact on global digital health policy. By fostering international cooperation, sharing best practices, and addressing key challenges, this partnership will help shape a more efficient, secure, and patient-centered healthcare system.

Key expected outcomes include:
– **Improved global interoperability frameworks**
– **Stronger cybersecurity policies for healthcare organizations**
– **Wider adoption of AI-driven healthcare solutions**
– **Greater focus on digital health equity and accessibility**
– **Enhanced workforce training and capacity-building initiatives**

## **Conclusion**

HIMSS25 will serve as a critical venue for advancing digital health policy through collaboration with the **Global Digital Health Partnership (GDHP)**. By bringing together global leaders, policymakers, and technology experts, this partnership will drive meaningful progress in digital health, ensuring that healthcare systems worldwide are better equipped to leverage technology for improved patient outcomes.

As digital health continues to evolve, the insights and initiatives emerging from HIMSS25 will play a crucial role in shaping the future of healthcare on a global

# **HIMSS25 Panel Shares Expert Strategies for Combating Cybersecurity Threats**

As the healthcare industry continues to embrace digital transformation, cybersecurity threats have become an ever-present challenge. At HIMSS25, a panel of cybersecurity experts gathered to discuss the latest strategies for combating cyber threats in healthcare. The session provided valuable insights into the evolving threat landscape and practical approaches for safeguarding sensitive patient data.

## **The Growing Cybersecurity Threat in Healthcare**

Healthcare organizations are prime targets for cybercriminals due to the vast amounts of sensitive patient data they store. Ransomware attacks, phishing schemes, and data breaches have surged in recent years, putting patient safety and institutional integrity at risk. The HIMSS25 panel emphasized that cyber threats are not just an IT issue but a critical patient safety concern.

## **Key Strategies for Strengthening Cybersecurity**

The panelists shared expert strategies to help healthcare organizations mitigate cybersecurity risks and enhance their defenses.

### **1. Implementing Zero Trust Architecture**
One of the most effective ways to combat cyber threats is adopting a **Zero Trust** approach. This model assumes that no user or device should be trusted by default, even if they are inside the network. Key components of Zero Trust include:
– **Multi-Factor Authentication (MFA):** Ensuring that users verify their identity through multiple authentication methods.
– **Least Privilege Access:** Granting users only the minimum level of access necessary to perform their job functions.
– **Continuous Monitoring:** Regularly assessing network activity to detect and respond to potential threats in real time.

### **2. Strengthening Endpoint Security**
With the rise of remote work and connected medical devices, endpoint security has become a major concern. The panelists recommended:
– Deploying **advanced endpoint detection and response (EDR) solutions** to identify and mitigate threats.
– Ensuring **regular patching and updates** to prevent vulnerabilities from being exploited.
– Using **secure configurations** for medical devices to reduce exposure to cyber risks.

### **3. Enhancing Employee Training and Awareness**
Human error remains one of the biggest cybersecurity risks in healthcare. The panel stressed the importance of ongoing **cybersecurity awareness training** for all employees. Best practices include:
– Conducting **regular phishing simulations** to help staff recognize and avoid malicious emails.
– Educating employees on **social engineering tactics** used by cybercriminals.
– Encouraging a **culture of cybersecurity** where staff feel empowered to report suspicious activity.

### **4. Strengthening Incident Response and Recovery Plans**
A well-prepared incident response plan can minimize the impact of cyberattacks. The panelists advised healthcare organizations to:
– Develop and test **comprehensive incident response plans** to ensure quick and effective action during a breach.
– Establish **clear communication protocols** for notifying stakeholders, including patients, regulators, and law enforcement.
– Regularly conduct **cybersecurity drills** to assess preparedness and identify areas for improvement.

### **5. Leveraging Artificial Intelligence and Automation**
AI and automation are playing a growing role in cybersecurity defense. The panel highlighted how AI-driven security tools can:
– Detect **anomalous behavior** and potential threats in real time.
– Automate **threat response actions** to reduce the burden on security teams.
– Improve **threat intelligence sharing** across healthcare organizations.

### **6. Strengthening Third-Party Risk Management**
Many healthcare organizations rely on third-party vendors for IT services, medical devices, and cloud storage. However, these vendors can introduce security vulnerabilities. The panel recommended:
– Conducting **thorough security assessments** of all third-party vendors.
– Requiring **strict cybersecurity policies and compliance** with industry standards.
– Implementing **continuous monitoring** of vendor access and activities.

## **The Future of Cybersecurity in Healthcare**

As cyber threats continue to evolve, healthcare organizations must remain proactive in their cybersecurity efforts. The HIMSS25 panel emphasized that a **multi-layered security approach**—combining technology, policies, and employee education—is essential for protecting patient data and ensuring operational resilience.

By adopting these expert strategies, healthcare organizations can strengthen their cybersecurity posture and safeguard the future of digital healthcare.

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Would you like additional details on any of these strategies?

# **HIMSS25 Panel Shares Expert Strategies for Combating Cybersecurity Threats**

As the healthcare industry continues to embrace digital transformation, cybersecurity threats have become a growing concern for organizations worldwide. At the **HIMSS25 Global Health Conference & Exhibition**, a panel of cybersecurity experts shared valuable insights and strategies to help healthcare organizations defend against evolving cyber threats.

## **The Growing Threat Landscape in Healthcare**

The healthcare sector has become a prime target for cybercriminals due to the vast amounts of sensitive patient data stored within electronic health records (EHRs), medical devices, and cloud-based systems. Ransomware attacks, phishing schemes, and insider threats have surged in recent years, leading to significant financial and reputational damage.

During the HIMSS25 panel discussion, experts emphasized that cyberattacks are no longer a question of “if” but “when.” Healthcare organizations must adopt a proactive approach to cybersecurity to mitigate risks and protect patient safety.

## **Key Strategies for Strengthening Cybersecurity in Healthcare**

The panelists outlined several critical strategies to combat cybersecurity threats in the healthcare industry:

### **1. Implement Zero Trust Architecture (ZTA)**
Zero Trust is a security framework that requires continuous verification of users, devices, and applications before granting access to sensitive data. The panelists stressed that healthcare organizations should move away from traditional perimeter-based security models and adopt a **Zero Trust approach** to minimize the risk of unauthorized access.

### **2. Strengthen Endpoint Security**
With the rise of remote work and connected medical devices, endpoint security has become a top priority. Experts recommended deploying **advanced endpoint detection and response (EDR) solutions** to monitor and mitigate potential threats in real time.

### **3. Enhance Employee Cybersecurity Training**
Human error remains one of the biggest vulnerabilities in cybersecurity. The panelists highlighted the importance of **regular cybersecurity training** for healthcare employees to recognize phishing attempts, social engineering tactics, and other cyber threats.

### **4. Improve Incident Response and Recovery Plans**
A well-defined **incident response plan** is crucial for minimizing the impact of cyberattacks. Experts advised healthcare organizations to conduct **regular tabletop exercises** and simulations to ensure their teams are prepared to respond swiftly to security breaches.

### **5. Leverage Artificial Intelligence (AI) and Automation**
AI-driven cybersecurity solutions can help healthcare organizations detect and respond to threats more efficiently. The panelists discussed how **machine learning algorithms** can analyze vast amounts of data to identify anomalies and potential security breaches before they escalate.

### **6. Strengthen Third-Party Risk Management**
Many healthcare organizations rely on third-party vendors for IT services, cloud storage, and medical device management. The panel emphasized the need for **rigorous vendor risk assessments** and continuous monitoring to ensure third-party partners adhere to strict cybersecurity standards.

### **7. Adopt Multi-Factor Authentication (MFA)**
Multi-Factor Authentication (MFA) is a simple yet effective way to prevent unauthorized access to healthcare systems. The panelists urged organizations to implement **MFA across all critical systems** to add an extra layer of security.

### **8. Secure Medical Devices and IoT Systems**
The increasing use of Internet of Things (IoT) devices in healthcare has introduced new security challenges. Experts recommended **regular security assessments** of connected medical devices and ensuring they receive timely software updates and patches.

## **The Future of Cybersecurity in Healthcare**

As cyber threats continue to evolve, healthcare organizations must remain vigilant and adaptive. The HIMSS25 panelists agreed that **collaboration between healthcare providers, government agencies, and cybersecurity experts** is essential to building a more resilient healthcare ecosystem.

By implementing these expert-recommended strategies, healthcare organizations can better protect patient data, maintain regulatory compliance, and ensure the continuity of critical healthcare services in the face of cyber threats.

### **Conclusion**

Cybersecurity in healthcare is no longer optional—it is a necessity. The insights shared at **HIMSS25** serve as a crucial roadmap for healthcare organizations looking to strengthen their cybersecurity posture. By adopting a proactive approach, leveraging advanced technologies, and fostering a culture of security awareness, the healthcare industry can effectively combat cyber threats and safeguard patient trust.

For more updates on cybersecurity trends and best practices, stay tuned for insights from **HIMSS25 and beyond**.

# **HIMSS25: Suki’s CEO Discusses Advancements in Health Technology**

The **Healthcare Information and Management Systems Society (HIMSS) 2025 Global Conference & Exhibition** is set to be a pivotal event for the healthcare industry, bringing together thought leaders, innovators, and technology experts to discuss the latest advancements in health IT. One of the most anticipated discussions at **HIMSS25** will feature **Punit Soni, CEO of Suki**, a leading provider of AI-powered voice solutions for healthcare professionals.

## **The Role of AI in Healthcare**

Artificial Intelligence (AI) has been transforming healthcare by improving efficiency, reducing administrative burdens, and enhancing patient care. Suki, a company at the forefront of AI-driven healthcare solutions, has been instrumental in developing **voice-enabled digital assistants** that help physicians with documentation, reducing burnout and allowing them to focus more on patient care.

At HIMSS25, **Punit Soni** will share insights on how AI is reshaping healthcare workflows, particularly in the areas of **clinical documentation, administrative automation, and physician-patient interactions**.

## **Key Advancements in Health Technology**

During his session, Soni is expected to highlight several key advancements in health technology, including:

### **1. AI-Powered Clinical Documentation**
One of the biggest challenges in healthcare is the **burden of documentation**. Physicians spend a significant amount of time on administrative tasks, which can lead to burnout and reduced patient interaction. Suki’s AI-powered assistant helps automate documentation by using **natural language processing (NLP)** to transcribe and structure clinical notes in real time.

### **2. Voice-Enabled Digital Assistants**
Voice technology is becoming increasingly sophisticated, allowing for **seamless integration** into healthcare workflows. Suki’s digital assistant enables physicians to **dictate notes, retrieve patient information, and complete administrative tasks** using simple voice commands. This reduces the need for manual data entry and improves efficiency.

### **3. Integration with Electronic Health Records (EHRs)**
One of the major pain points for healthcare providers is the complexity of **Electronic Health Records (EHRs)**. Suki’s AI assistant integrates with major EHR systems, streamlining workflows and making it easier for physicians to access and update patient records. This integration enhances **data accuracy, reduces errors, and improves overall efficiency**.

### **4. Reducing Physician Burnout**
Burnout is a growing concern in the healthcare industry, with many physicians citing administrative tasks as a major contributor. By leveraging AI-driven solutions like Suki, healthcare organizations can **reduce cognitive load, improve work-life balance, and enhance job satisfaction** for medical professionals.

### **5. Future of AI in Healthcare**
Looking ahead, Soni will discuss the **future of AI in healthcare**, including advancements in **predictive analytics, personalized medicine, and AI-driven decision support systems**. These innovations have the potential to **revolutionize patient care, improve clinical outcomes, and optimize healthcare operations**.

## **The Impact of AI on Healthcare Efficiency**

AI-powered solutions like Suki are not just about convenience—they are fundamentally changing the way healthcare is delivered. By automating repetitive tasks, improving documentation accuracy, and enhancing physician efficiency, AI is helping to create a **more patient-centered and efficient healthcare system**.

## **Conclusion**

As HIMSS25 approaches, the healthcare industry is eager to hear from **Punit Soni** and other leaders about the transformative power of AI in healthcare. With advancements in **voice technology, AI-driven documentation, and EHR integration**, companies like Suki are paving the way for a **more efficient, less burdensome, and patient-focused healthcare system**.

Stay tuned for more updates from **HIMSS25**, where the future of health technology will take center stage. 🚀

# A Guide to Chicken Lo Mein: Ingredients, Preparation, and Cooking Tips

Chicken Lo Mein is a cherished dish from Chinese cuisine that has won the affections and taste buds of food enthusiasts worldwide. This stir-fried noodle preparation is marked by its flavorful sauce, succulent chicken, and a vibrant mix of vegetables. Whether you are an experienced cook or a beginner in the kitchen, this guide will lead you through the key ingredients, steps for preparation, and cooking advice to craft a tasty Chicken Lo Mein at your place.

## Ingredients

### Noodles
– **Lo Mein Noodles**: Traditionally, lo mein utilizes fresh egg noodles that are soft and chewy. These can be located in the refrigerated aisle of Asian markets or you can opt for dried egg noodles as a substitute.

### Protein
– **Chicken**: Boneless, skinless chicken breast or thighs are typically used. Thighs provide enhanced flavor and moisture, while breasts are leaner.

### Vegetables
– **Bell Peppers**: Red, green, or yellow, sliced into thin strips.
– **Carrots**: Julienned or thinly sliced for a bit of crunch.
– **Snow Peas or Snap Peas**: Introduce a fresh, crisp texture.
– **Green Onions**: Chopped, for garnish and taste.
– **Bean Sprouts**: Optional, for an additional crunch.

### Sauce
– **Soy Sauce**: The foundation of the sauce, contributing saltiness and umami.
– **Oyster Sauce**: Introduces depth and a hint of sweetness.
– **Sesame Oil**: A little enhances the dish with a nutty essence.
– **Cornstarch**: Used to thicken the sauce.
– **Garlic and Ginger**: Freshly minced for a fragrant flavor.

### Optional Ingredients
– **Chili Paste or Sauce**: For those who prefer some spice.
– **Peanut Butter**: A unique addition that provides creaminess.

## Preparation

### Step 1: Marinate the Chicken
1. Cut the chicken into thin strips.
2. In a bowl, mix soy sauce, a teaspoon of cornstarch, and a splash of sesame oil. Add the chicken and allow it to marinate for at least 15-30 minutes. This process not only infuses flavor into the chicken but also aids in tenderizing it.

### Step 2: Prepare the Vegetables
1. Rinse and cut all vegetables into uniform pieces to guarantee even cooking.
2. Keep the vegetables separated to incorporate them into the stir-fry in phases, depending on their cooking durations.

### Step 3: Cook the Noodles
1. For fresh lo mein noodles, cook them according to package directions until al dente. Drain and set aside.
2. If using dried noodles, boil them until tender, then rinse under cool water to halt the cooking process.

## Cooking Tips

### 1. Utilize High Heat
Stir-frying is most effective over high heat. This method allows ingredients to cook quickly while maintaining their color and texture. A wok is best, but a large skillet can suffice as well.

### 2. Cook in Batches
If you have numerous ingredients, think about cooking in phases. This avoids overcrowding the pan, which may cause steaming instead of frying.

### 3. Add Ingredients in Phases
Begin with the chicken, cooking it until no longer pink. Remove it from the pan, then introduce the vegetables that require a longer cook time (like carrots and bell peppers) before adding quicker-cooking items (like snow peas and bean sprouts).

### 4. Combine and Toss
Once all components are cooked, return the chicken to the pan, add the cooked noodles, and drizzle in the sauce. Toss everything together rapidly to ensure even coating and heating.

### 5. Garnish and Serve
Top with chopped green onions and serve hot. For an extra touch, drizzle a bit of sesame oil on top just before serving.

## Conclusion

Chicken Lo Mein is a versatile dish that can be tailored with your preferred vegetables and sauces. With its quick prep and cooking time, it is ideal for weeknight meals or hosting guests. By following this guide, you will be well on your way to mastering this traditional dish, bringing a taste of Chinese cuisine into your home kitchen. Enjoy your culinary journey!

# Flatiron Health and CU Cancer Center Partner to Improve Clinical Trial Efficiency

## Introduction

Clinical trials are essential for advancing cancer treatment, but they often face challenges such as slow patient recruitment, complex regulatory requirements, and data inefficiencies. To address these issues, **Flatiron Health** and the **University of Colorado (CU) Cancer Center** have partnered to improve the efficiency of clinical trials. This collaboration aims to leverage real-world data and technology to streamline trial processes, enhance patient matching, and accelerate the development of new cancer therapies.

## The Role of Flatiron Health

Flatiron Health is a leading health technology company specializing in real-world evidence and oncology-focused data solutions. The company provides electronic health record (EHR)-integrated platforms that help researchers and clinicians optimize clinical trial operations. Flatiron’s technology enables:

– **Real-time patient identification**: Using artificial intelligence (AI) and machine learning, Flatiron can analyze patient records to identify eligible candidates for clinical trials more efficiently.
– **Data standardization and integration**: The company’s platforms help standardize oncology data, making it easier for researchers to access and analyze patient information.
– **Regulatory compliance support**: Flatiron’s solutions help ensure that clinical trial data meets regulatory requirements, reducing administrative burdens.

## CU Cancer Center’s Expertise

The **CU Cancer Center**, a National Cancer Institute (NCI)-designated comprehensive cancer center, is known for its cutting-edge cancer research and commitment to improving patient outcomes. The center conducts numerous clinical trials, offering patients access to innovative treatments. By partnering with Flatiron Health, CU Cancer Center aims to:

– **Enhance patient recruitment**: By leveraging Flatiron’s real-world data, the center can identify more eligible patients for trials, reducing enrollment delays.
– **Improve trial efficiency**: Streamlining data collection and analysis can help researchers make faster, more informed decisions.
– **Expand access to trials**: More efficient trial processes can allow more patients, including those in underserved communities, to participate in cutting-edge research.

## How the Partnership Improves Clinical Trial Efficiency

The collaboration between Flatiron Health and CU Cancer Center focuses on several key areas to enhance clinical trial operations:

### 1. **Optimizing Patient Matching**
One of the biggest challenges in clinical trials is finding eligible patients. Flatiron’s AI-driven tools analyze patient records in real-time, identifying individuals who meet trial criteria. This reduces the time spent manually reviewing records and increases enrollment rates.

### 2. **Enhancing Data Collection and Analysis**
Traditional clinical trials often rely on manual data entry, which can be time-consuming and error-prone. Flatiron’s technology automates data collection from EHRs, ensuring accuracy and reducing administrative workload. This allows researchers to focus on analyzing results and advancing treatments.

### 3. **Reducing Administrative Burdens**
Regulatory compliance is a major hurdle in clinical trials. Flatiron’s platform helps streamline documentation and reporting, ensuring that trials meet regulatory standards without unnecessary delays.

### 4. **Expanding Access to Trials**
By improving efficiency, the partnership can help expand clinical trial opportunities to more patients, including those in rural or underserved areas. This ensures that a diverse patient population benefits from the latest cancer treatments.

## Potential Impact on Cancer Research

The partnership between Flatiron Health and CU Cancer Center has the potential to transform cancer research by:

– **Accelerating the development of new treatments**: Faster patient recruitment and streamlined data analysis can shorten the time needed to complete clinical trials.
– **Improving patient outcomes**: More efficient trials mean that promising new therapies can reach patients sooner.
– **Enhancing collaboration**: The use of standardized data and technology can facilitate collaboration between research institutions, pharmaceutical companies, and healthcare providers.

## Conclusion

The partnership between **Flatiron Health and CU Cancer Center** represents a significant step forward in improving clinical trial efficiency. By leveraging real-world data, AI-driven patient matching, and streamlined data collection, this collaboration aims to accelerate cancer research and improve patient access to innovative treatments. As technology continues to advance, partnerships like this will play a crucial role in shaping the future of oncology research and patient care.

On 5th March 2025, the European Health Data Space (EHDS) Regulation was officially published in the Official Journal of the European Union. The EHDS enters into force on 26 March 2025 – this is the beginning of the transition phase towards application. At its core, the EHDS is about three things: (1) empowering patients with […]

The post European Health Data Space Regulation Published – What’s Next? appeared first on Healthcare & Life Sciences Blog.

# How to Make Homemade Onion Powder

Onion powder is a versatile kitchen staple that enhances the flavor of countless dishes. While store-bought onion powder is convenient, making your own at home ensures a fresher, more flavorful, and preservative-free alternative. Plus, it’s a great way to use up excess onions before they spoil. In this guide, we’ll walk you through the simple steps to make homemade onion powder.

## **Why Make Your Own Onion Powder?**

Homemade onion powder has several advantages over store-bought versions:
– **Fresher Flavor** – Store-bought onion powder can lose potency over time, whereas homemade powder retains its strong, natural taste.
– **No Additives or Preservatives** – Many commercial onion powders contain anti-caking agents or preservatives. Homemade onion powder is pure and natural.
– **Cost-Effective** – Making your own onion powder can save money, especially if you grow your own onions or buy them in bulk.
– **Reduces Waste** – If you have extra onions that may go bad, turning them into powder extends their shelf life.

## **What You’ll Need**

To make homemade onion powder, you’ll need:
– Fresh onions (any variety, but yellow, white, or red onions work best)
– A sharp knife or mandoline slicer
– A food dehydrator, oven, or air fryer
– A spice grinder, blender, or mortar and pestle
– An airtight container for storage

## **Step-by-Step Guide to Making Onion Powder**

### **Step 1: Prepare the Onions**
1. Peel the onions and remove any blemishes.
2. Slice the onions thinly and evenly to ensure uniform drying. The thinner the slices, the faster they will dry.

### **Step 2: Dehydrate the Onion Slices**
There are three main methods to dry onions:

#### **Using a Dehydrator (Recommended Method)**
1. Arrange the onion slices in a single layer on the dehydrator trays.
2. Set the dehydrator to **125°F (52°C)** and dry for **6-12 hours**, or until the onions are completely dry and brittle.

#### **Using an Oven**
1. Preheat your oven to **150-170°F (65-75°C)** or the lowest setting.
2. Spread the onion slices on a baking sheet lined with parchment paper.
3. Leave the oven door slightly open to allow moisture to escape.
4. Bake for **4-6 hours**, checking periodically until the onions are fully dried and crisp.

#### **Using an Air Fryer**
1. Set the air fryer to **120-140°F (50-60°C)**.
2. Place the onion slices in a single layer in the air fryer basket.
3. Dry for **2-4 hours**, shaking the basket occasionally.

### **Step 3: Grind the Dried Onions**
1. Once the onions are completely dry and brittle, transfer them to a spice grinder, blender, or mortar and pestle.
2. Grind them into a fine powder. If you prefer a coarser texture, pulse the grinder a few times instead of blending continuously.

### **Step 4: Store the Onion Powder**
1. Transfer the onion powder to an airtight container, such as a glass jar or spice bottle.
2. Store in a cool, dark place away from moisture and heat.
3. Label the container with the date to keep track of freshness.

## **Tips for the Best Homemade Onion Powder**
– **Ensure Complete Drying** – If the onions aren’t fully dried before grinding, the powder may clump or spoil quickly.
– **Use a Fine Mesh Sieve** – After grinding, sift the powder through a fine mesh sieve to remove any larger pieces.
– **Prevent Clumping** – If you live in a humid area, add a few grains of uncooked rice or a silica gel packet to the container to absorb moisture.
– **Store Properly** – Keep the onion powder in an airtight container to maintain its potency for up to **6-12 months**.

## **How to Use Homemade Onion Powder**
Homemade onion powder can be used in a variety of dishes, including:
– Soups and stews
– Sauces and gravies
– Marinades and rubs
– Salad dressings
– Seasoning blends (such as homemade taco seasoning or garlic-onion spice mix)

## **Final Thoughts**
Making homemade onion powder is an easy and rewarding process that enhances your cooking while reducing food waste. With just a few simple steps, you can create a flavorful, preservative-free seasoning that will elevate your dishes. Try making your own onion powder

# AI’s Growing Role in Healthcare: Opportunities and Challenges

Artificial Intelligence (AI) is transforming the healthcare industry at an unprecedented pace. From diagnosing diseases to personalizing treatment plans, AI-powered technologies are enhancing efficiency, accuracy, and accessibility in medical care. However, while AI presents numerous opportunities, it also brings significant challenges that must be addressed to ensure ethical and effective implementation.

## Opportunities of AI in Healthcare

### 1. **Improved Diagnostics and Early Detection**
AI-powered algorithms can analyze medical images, lab results, and patient records with remarkable accuracy. Machine learning models, such as those used in radiology and pathology, can detect diseases like cancer, pneumonia, and diabetic retinopathy earlier and more precisely than traditional methods. For example, AI-driven imaging tools can identify tumors in mammograms with high accuracy, leading to earlier interventions and better patient outcomes.

### 2. **Personalized Treatment Plans**
AI enables precision medicine by analyzing vast amounts of patient data, including genetic information, lifestyle factors, and medical history. This allows doctors to tailor treatments to individual patients, improving effectiveness and reducing adverse effects. AI-driven drug discovery is also accelerating the development of new medications by predicting how different compounds will interact with diseases.

### 3. **Enhanced Administrative Efficiency**
AI can automate administrative tasks such as medical coding, billing, and appointment scheduling, reducing the workload on healthcare professionals. Natural Language Processing (NLP) tools can transcribe and summarize patient-doctor interactions, allowing physicians to focus more on patient care rather than paperwork.

### 4. **Remote Monitoring and Telemedicine**
Wearable devices and AI-powered health monitoring systems can track vital signs, detect irregularities, and alert healthcare providers in real time. This is particularly beneficial for managing chronic diseases such as diabetes and heart disease, enabling early intervention and reducing hospitalizations. AI-driven chatbots and virtual assistants also provide 24/7 medical advice, improving access to healthcare in remote areas.

### 5. **Drug Discovery and Development**
AI is revolutionizing pharmaceutical research by analyzing complex biological data to identify potential drug candidates. Machine learning models can predict how different molecules interact with diseases, significantly reducing the time and cost of drug development. AI-driven simulations also help researchers design more effective clinical trials by identifying suitable patient groups.

## Challenges of AI in Healthcare

### 1. **Data Privacy and Security Concerns**
AI relies on vast amounts of patient data to function effectively. However, ensuring the privacy and security of this data is a major challenge. Cybersecurity threats, data breaches, and unauthorized access to sensitive medical information can compromise patient confidentiality and trust in AI-driven healthcare systems.

### 2. **Bias and Ethical Issues**
AI models are trained on historical data, which may contain biases related to race, gender, or socioeconomic status. If not properly addressed, these biases can lead to disparities in healthcare outcomes. Ethical concerns also arise regarding AI’s decision-making in critical medical situations, such as end-of-life care or prioritizing patients for treatment.

### 3. **Regulatory and Legal Challenges**
The rapid advancement of AI in healthcare has outpaced regulatory frameworks. Governments and healthcare organizations must establish clear guidelines for AI deployment, ensuring compliance with medical standards and ethical considerations. Liability issues also arise when AI makes incorrect diagnoses or treatment recommendations, raising questions about accountability.

### 4. **Integration with Existing Healthcare Systems**
Many healthcare institutions still rely on outdated IT infrastructure, making it challenging to integrate AI solutions seamlessly. Ensuring interoperability between AI systems and electronic health records (EHRs) is crucial for maximizing AI’s potential while maintaining workflow efficiency.

### 5. **Trust and Acceptance Among Healthcare Professionals**
While AI can enhance medical decision-making, some healthcare professionals remain skeptical about its reliability and impact on their roles. Physicians and nurses must be adequately trained to work alongside AI tools, understanding their limitations and capabilities. Building trust in AI-driven healthcare requires transparency in how AI models make decisions and continuous validation of their accuracy.

## The Future of AI in Healthcare

Despite these challenges, the future of AI in healthcare is promising. As technology advances, AI will continue to improve patient outcomes, reduce healthcare costs, and enhance medical research. Collaboration between AI developers, healthcare professionals, policymakers, and patients is essential to ensure that AI is used ethically and effectively.

To maximize AI’s benefits while mitigating risks, healthcare organizations must prioritize:
– **Robust data privacy and security measures**
– **Bias detection and fairness in AI models**
– **Clear regulatory frameworks and ethical guidelines**
– **Seamless integration with existing healthcare systems**
– **Ongoing education and training for healthcare professionals**

By addressing these challenges, AI has the potential to revolutionize healthcare, making it more accessible, efficient, and personalized for patients worldwide.

### Conclusion

AI is reshaping the healthcare landscape, offering groundbreaking opportunities in diagnostics