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Introducing The Future of Advanced, Smart, Digital clinical practice. So Join us today in this exciting journey to build future of healthcare.

Almost every sector is impacted by digitalization But when we look at our healthcare system, it seems stand quite behind in comparison with digital evolution in other sectors. Our clinical practice & patient care techniques are still traditional, non-digitalized mostly pen-paper based. As we all know how badly our current healthcare infrastructure got shaken and stretched to its maximum capacity d

uring COVID crisis & we realized that we need more stronger, better and most importantly more connected new healthcare infrastructure which can handle such situations and work efficiently. Our current healthcare infrastructure still based on pen-paper based prescriptions most non-digitalized, unstructured, segregated, non-evidence based, having poor clinical data acquisition systems. lack of enough clinical data makes new clinical research process very slow and inefficient. As a solution for this challenge to design a new infrastructure/platform to fulfil today's population healthcare need we've come up with an idea to build such giant, advanced digital health infrastructure (WILLING HEALTHY) where all healthcare practitioner can work together on single platform sharing their knowledge and expertise to improve clinical practice better & improved everyday. Digital models of health systems ensure better delivery of preventive, curative, and rehabilitative health services to people grappling with chronic diseases, irrespective of their geographical location.

15/08/2023

From struggle to triumph, we stand united in pride and progress. Happy Independence Day, India! 🇮🇳 ✨

01/08/2023

Laughter is contagious! Hearing laughter triggers areas in the brain responsible for facial movements and sound. 😂🧠

21/07/2023

Thermo Fisher Scientific Inc., a global leader in scientific solutions, announced that the U.S. Food and Drug Administration (FDA) has granted clearance for the Thermo Scientific B·R·A·H·M·S PlGF plus KRYPTOR and B·R·A·H·M·S sFlt-1 KRYPTOR novel biomarkers. These biomarkers, the first and only of their kind, have received breakthrough designation and clearance from the FDA for the assessment and management of preeclampsia, a severe complication that can occur during pregnancy.

Preeclampsia is a dangerous condition characterized by high blood pressure and can pose significant risks to both the mother and the fetus. It is a leading cause of maternal and fetal mortality and morbidity worldwide, and its incidence rates have been on the rise in the United States in recent years.

The newly cleared assays are intended to be used in conjunction with other laboratory tests and clinical evaluations to aid in the risk assessment of pregnant women who have been hospitalized for hypertensive disorders of pregnancy. These tests aim to determine if these women are at risk of developing severe preeclampsia within the next two weeks.

Alan Sachs, the chief medical officer at Thermo Fisher Scientific, expressed the company's commitment to advancing diagnostic solutions for reproductive health, aligning with their broader mission of promoting global health and safety. He emphasized the significance of the FDA's clearance for these breakthrough biomarkers, stating that they will have a substantial impact on prognosis and treatment for the thousands of women at risk of preeclampsia in the U.S. each year.

The biomarkers, B·R·A·H·M·S sFlt-1 KRYPTOR and B·R·A·H·M·S PlGF plus KRYPTOR, are blood-based and have been validated through the PRAECIS study. This study involved more than 700 pregnant women across 18 hospitals in the United States. By assessing the risk stratification ratio of the two assays (sFlt-1/PlGF ratio ≥ 40), positive test results can identify women who are at risk of developing severe preeclampsia. These women can then receive enhanced monitoring and expedited care before severe symptoms manifest.

Ravi Thadhani, MD, MPH, executive vice president of health affairs at Emory University and co-author of the PRAECIS study, emphasized the importance of these biomarker tests in enabling caregivers to better manage the health of both mothers and newborns. Eleni Tsigas, chief executive officer at the Preeclampsia Foundation, also expressed her enthusiasm for these advancements, highlighting the benefit of improved tests for predicting the progression of preeclampsia, particularly for patients at risk of early-onset or severe forms of the condition.

The new assays are designed to be used with the Thermo Scientific B·R·A·H·M·S KRYPTOR compact PLUS clinical chemistry analyzer. This analyzer utilizes TRACE technology, which is based on Nobel Prize-winning chemistry, and can provide results in under 30 minutes. This rapid turnaround time enables efficient and timely risk assessment and management for pregnant women at risk of preeclampsia.

The FDA's clearance of these novel biomarkers marks a significant milestone in improving the care and outcomes for pregnant women at risk of preeclampsia. With the availability of these tests across the country, caregivers can now benefit from enhanced diagnostic tools to aid in the early detection and management of this life-threatening condition.

20/07/2023

Did you know that listening to music can lower your heart rate and blood pressure? 🎶❤️

14/07/2023

Connected healthcare has the potential to revolutionize the healthcare industry by leveraging the power of technology and connectivity. By improving access to care, enhancing patient engagement, and enabling efficient healthcare delivery, it promises to transform the way we prevent, diagnose, and treat diseases.

Join WILLING HEALTHY now

14/07/2023

Artificial Intelligence (AI) has transformed industries, including medicine, with its potential to enhance diagnostics, improve outcomes, and streamline healthcare. In this guide, we explore AI's applications and its revolutionary impact on healthcare.

AI in Medicine: Simplified Principles

Machine Learning: AI relies on machine learning, enabling computers to learn and make predictions without explicit programming. In medicine, machine learning analyzes patient data to assist in diagnosis, predict disease progression, and identify personalized treatment options.

Neural Networks: Designed to mimic the human brain, neural networks aid medical image analysis by detecting abnormalities in X-rays, CT scans, and MRIs, facilitating early disease detection.

Deep Learning: Training deep neural networks with multiple layers, deep learning analyzes genomic data to identify patterns, genetic markers, and potential therapeutic targets for personalized medicine and precision oncology.

Natural Language Processing (NLP): NLP teaches computers to understand and generate human language. In healthcare, NLP analyzes medical literature and clinical notes, extracting valuable information to support decision-making and evidence-based practice.

Computer Vision: Computer vision allows computers to "see" and understand visual information. In medical imaging, computer vision automates the analysis of medical images, aiding radiologists in detecting tumors, fractures, and organ abnormalities.

Data Mining: Extracting valuable patterns from large datasets, data mining optimizes treatment strategies, predicts disease outbreaks, and analyzes electronic health records, clinical trials data, and population health data.

Reinforcement Learning: Reinforcement learning optimizes treatment plans through continuous learning from patient responses, adjusting dosages, and refining strategies for better outcomes.

Embracing AI enables accurate diagnoses, personalized treatment plans, and improved patient outcomes. The future of medicine relies on understanding AI's applications for better, patient-centered care.

13/07/2023

The human nose can remember up to 50,000 different scents. 🌸👃

12/07/2023

Fitness smartwatches have become essential companions for individuals seeking to monitor and improve their health and wellness. But with so many options available, it's important to know what to look for when buying one. Let's dive into the key factors to consider, ensuring you find the perfect fit for your lifestyle. 🏃‍♂️🔍

1️⃣ Fitness Tracking: Look for a smartwatch with advanced sensors to accurately monitor steps, distance, and calories burned. Consider GPS tracking for outdoor activities or an altimeter for hikers and climbers. 🏋️‍♀️⛰️

2️⃣ Heart Rate Monitoring: Opt for continuous, real-time heart rate monitoring to track exertion levels and gauge cardiovascular health. Advanced metrics like heart rate variability (HRV) can provide insights into stress levels and recovery. 💓📈

3️⃣ Battery Life: Aim for a smartwatch that lasts at least a couple of days with regular use. Longer battery life means less frequent charging. 🔋⏱️

4️⃣ Compatibility: Ensure the smartwatch is compatible with your smartphone's operating system. Look for seamless integration with popular health and fitness apps. 📱💻

5️⃣ Display and Design: Consider a clear and easily readable display with intuitive touchscreen functionality. Choose a design that matches your style and comfort preferences. 💡⌚

6️⃣ Additional Features: Explore sleep tracking, stress monitoring, and advanced sports metrics based on your fitness goals and lifestyle. 😴😌🏆

7️⃣ Price and Value: Set a budget and prioritize features that matter most to you. Avoid overspending on unnecessary functionalities. 💰💡

8️⃣ User Reviews: Read user reviews and seek recommendations. Consider overall satisfaction, reliability, and durability. 📚👥

9️⃣ Regulatory Approval: Ensure the smartwatch has received regulatory approval, like FDA or CE marking, for safety and performance. ✅🔒

🔟 Data Privacy: Review the manufacturer's privacy policy and terms of service. Choose a smartwatch known for employing robust security measures. 🔐🛡️

Finding the right fitness smartwatch is a personal choice. By considering these factors, you can make an informed decision and embark on your fitness journey with the ideal companion on your wrist. Stay fit, stay connected! 💪🌟

11/07/2023

The human eye can distinguish approximately 10 million different colors. 🌈👀

10/07/2023

In today's fast-paced healthcare landscape, the effective exchange and utilization of patient data have become essential for providing high-quality care, enabling research advancements, and improving overall healthcare outcomes. However, achieving seamless data interoperability remains a significant challenge

📊 Current Status of Data Interoperability:

Despite advancements in health information technology, achieving comprehensive data interoperability remains elusive. Healthcare systems often operate in silos, with patient data scattered across various electronic health record (EHR) systems, laboratories, imaging centers, and other healthcare facilities. These data repositories often use different formats, standards, and protocols, making it difficult to exchange and combine information seamlessly.

The lack of standardized data models, inconsistent coding systems, and variations in privacy regulations further exacerbate the interoperability challenge. Interoperability gaps hinder the timely access to critical patient information, impede care coordination, and hinder the potential for breakthroughs in medical research and innovation.

🔮 Future Requirements: To unlock the full potential of data interoperability, we must focus on:

1️⃣ Standardization: Adopting standardized data models, coding systems, and interoperability standards to harmonize data exchange globally.
2️⃣ Enhanced Infrastructure: Investing in robust technical solutions, secure data storage, advanced APIs, and interoperability frameworks.
3️⃣ Data Governance: Establishing clear policies on data ownership, consent, and sharing while addressing legal and ethical considerations.
4️⃣ Education and Training: Equipping healthcare professionals and IT staff with the necessary knowledge and skills to leverage interoperability effectively.

💡 Benefits: Embracing data interoperability brings substantial advantages to the healthcare industry:
1️⃣ Enhanced Care Coordination: Seamless data sharing among providers leads to informed decision-making, reduced errors, and improved patient outcomes.
2️⃣ Empowered Patients: Access to medical records enables patients to actively participate in their care decisions, increasing engagement and compliance.
3️⃣ Accelerated Research and Innovation: Interoperable systems enable large-scale studies, population health analyses, and the discovery of new treatments.
4️⃣ Operational Efficiency and Cost Savings: Streamlined data exchange reduces administrative burdens, eliminates redundancies, and optimizes resource allocation.

🌍 By overcoming challenges and investing in data interoperability, we can revolutionize healthcare delivery, research, and patient engagement. Let's work together to unlock the power of data for better healthcare outcomes and a healthier future!

09/07/2023

Hugging 🫂 is not just a warm and comforting gesture; it has been found to have remarkable effects on our physical and emotional well-being. Research suggests that hugging can significantly lower stress levels and increase the release of oxytocin, often referred to as the "love hormone" or "cuddle chemical." ❤️

Oxytocin plays a crucial role in promoting social bonding and reducing anxiety and stress. When we engage in a heartfelt embrace, the pressure exerted during the hug stimulates the production and release of oxytocin in the brain, leading to a sense of calmness and relaxation. This hormone also helps to regulate heart rate and blood pressure, promoting cardiovascular health. 💓🧠

Additionally, hugging triggers the release of endorphins, our body's natural painkillers, which further contribute to a sense of well-being. So, the next time you feel stressed or overwhelmed, consider reaching out for a hug, as this simple act of connection can have profound benefits for your mental and physical health. 🤗💪

07/07/2023

Did you know that regular exercise can increase the size of your brain's hippocampus, improving memory? 🏋️‍♀️🧠

06/07/2023

🏥 Electronic Health Records (EHRs) play a pivotal role in driving evidence-based medicine and transforming healthcare. With real-time applications, EHRs empower healthcare professionals to access comprehensive patient information, aiding in informed decision-making, reducing errors, and enhancing patient safety. From enhanced data accessibility to improved clinical decision support, here's a closer look at how EHRs are shaping the future of healthcare:

1️⃣ Enhanced Data Accessibility and Availability: EHRs provide real-time access to critical patient information, including medical history, lab results, and medication records. This accessibility ensures that clinicians have all the necessary data at their fingertips to make informed decisions, leading to better patient outcomes.

2️⃣ Improved Clinical Decision Support: EHRs come equipped with real-time clinical decision support systems (CDSS), offering alerts, reminders, and recommendations at the point of care. These prompts help clinicians identify potential risks, consider alternative medications, and prescribe evidence-based treatments, ultimately improving patient safety.

3️⃣ Facilitating Research and Population Health Management: Real-time data from EHRs can be de-identified and used for research purposes and population health management. Researchers can analyze aggregated data to monitor disease outbreaks, track intervention effectiveness, and identify high-risk populations, leading to evidence-based protocols and targeted interventions.

4️⃣ Enhancing Care Coordination and Collaboration: EHRs foster real-time communication and collaboration among healthcare providers, ensuring coordinated and evidence-based care. Multidisciplinary teams can access and contribute to the same electronic record, resulting in improved patient outcomes, reduced errors, and streamlined workflows.

5️⃣ Real-Time Analytics and Predictive Modeling: EHRs enable healthcare organizations to leverage real-time data analytics and predictive modeling. By analyzing patient data in real-time, EHRs can identify high-risk individuals, intervene proactively, optimize resource allocation, and improve healthcare planning.

6️⃣ Quality Improvement Initiatives: EHRs support real-time quality improvement initiatives based on evidence-based guidelines. With embedded decision support tools, healthcare providers can monitor performance metrics, track adherence to protocols, and identify areas for improvement, ultimately enhancing patient safety and outcomes.

EHRs are revolutionizing healthcare by providing timely access to comprehensive patient data, enabling evidence-based decision-making, and driving continuous quality improvement. As technology evolves, EHRs will continue to play a vital role in delivering patient-centered, evidence-based care in real-time.

04/07/2023

The human brain generates about 25 watts of power while awake, enough to light a bulb! 💡🧠

03/07/2023

Artificial Intelligence (AI) is revolutionizing the way we diagnose and treat diseases. By analyzing vast amounts of data, recognizing patterns, and making accurate predictions, AI is transforming the healthcare landscape.

One of the remarkable applications of AI is early disease detection. With AI algorithms, we can identify diseases at their earliest stages, leading to improved prognosis and survival rates. For example, AI-enabled systems can analyze medical images like mammograms or lung scans, detecting early signs of cancer that might be missed by human radiologists. This early detection allows for timely intervention and treatment, increasing the chances of successful outcomes.

AI is also reshaping precision medicine by tailoring treatments to individual patients. By analyzing vast genomic datasets, AI algorithms can identify genetic markers associated with specific diseases and predict individual response to medications. This enables the development of personalized treatment plans, optimizing therapeutic effectiveness while minimizing side effects.

Virtual assistants and chatbots powered by AI are enhancing the patient experience. These intelligent systems provide on-demand healthcare support and information. They offer personalized medical advice, assist with symptom checking, and provide insights on preventive care. Virtual assistants also enable patients to schedule appointments, access test results, and interact with healthcare providers remotely, enhancing accessibility and reducing administrative burdens.

In the field of medical imaging and diagnosis, AI algorithms are making a significant impact. They can quickly and accurately detect abnormalities in X-rays, CT scans, and MRIs. By assisting radiologists in interpretation, AI systems expedite diagnosis, reduce errors, and alleviate the workload of healthcare professionals, leading to faster and more efficient patient care.

AI is even transforming the process of drug discovery and development. Machine learning algorithms analyze vast biomedical datasets, identifying potential drug candidates and predicting their efficacy and safety profiles. This accelerates the prioritization and optimization of drug candidates, potentially reducing the time and cost required to bring new treatments to market.

Furthermore, AI-powered wearable devices and remote monitoring systems enable remote patient monitoring. These devices track vital signs, detect anomalies, and send real-time alerts to healthcare providers. By enabling early intervention and improving patient outcomes, AI technology benefits individuals with chronic diseases or those requiring post-operative care.

Join us as we explore the incredible potential of AI in healthcare. Together, we can leverage this technology to improve patient outcomes, enhance efficiency, and make
healthcare more accessible.

25/06/2023

Advanced clinical practice involves providing high-quality healthcare services to patients with complex medical needs. To ensure consistency and quality across healthcare providers, standardized protocols play a crucial role. These protocols, which are evidence-based guidelines, outline the necessary steps for diagnosing and treating specific conditions. By utilizing standardized protocols, healthcare providers can achieve the best possible outcomes for patients, reduce errors and variations in care, and enhance the efficiency of healthcare delivery.

The benefits of standardized protocols include reducing variations in care, improving patient safety, and enhancing healthcare provider confidence and job satisfaction. These protocols also promote communication and collaboration among healthcare providers when managing complex medical conditions. Research studies have shown that the use of standardized protocols leads to better patient outcomes in various areas, such as sepsis treatment, heart attack management, chemotherapy-related toxicities, perioperative nursing practice, delirium management, and surgical site infections.

Standardized protocols contribute to the efficiency of healthcare delivery by expediting diagnosis and treatment for patients with complex medical needs. They also help reduce healthcare costs by minimizing unnecessary tests and procedures, ensuring appropriate and timely interventions based on patients' specific conditions.

To ensure the effective implementation of standardized protocols, healthcare organizations should provide ongoing education and training to healthcare providers, including initial training, updates, and refresher courses. Additionally, involving patients in the development and implementation of protocols is crucial. Patients should be informed about the protocols, their purpose, and their role in adhering to them. Patient feedback should also be considered when revising or updating the protocols.

In conclusion, standardized protocols are essential in advanced clinical practice as they ensure consistency, improve patient outcomes, and reduce errors and variations in care. Healthcare organizations should prioritize their use and provide continuous education and training to healthcare providers. Engaging patients in the development and implementation of protocols enhances adherence and patient satisfaction.

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