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Looking for Content Requests for HLS Modern Workplace Fire Away Friday's
As Health and Life Sciences moves forward with a regular rhythm for our Modern Workplace Fire Away Friday's we want to make sure that content we deliver matches your needs. To that end we would love to have you submit your requests here for content in the collaboration area. Looking for Teams best practices? Let us know. Looking for new ways to aggregate and visual data for your org? Let us know. We look forward to your requests and then we will see you online...live!Development of Health Care Strategy
I have started a new career with Home Health Care organisation that is engaged in: Working for the community of the vulnerable aged and pensioners Enhancing Later life Health of people Fitness for the future In current circumstances of Coronavirus pandemic, my job will be very challenging. It involves developing strategies for avoiding the virus and curing those who are sick due to the virus. The aged are most at risk and need special care and attention, almost like intensive care of patients at home. Dementia care strategy - focus on people living with dementia, people not living with dementia, families and friends of people living with dementia, colleagues and volunteers. Hand Hygiene strategy - ensuring care and safety of every individual from the attacks of micro-organisms, bacteria, chain of infection and the good health of the hands. Diabetes care strategy - focus on people who are suffering from Type 1 Diabetes and Type 2 Diabetes, managing diabetes by medication and blood glucose monitoring, administering and injecting insulin, elderly diabetics, diet and weight management. A check-list of the following procedures may be followed in Hand Hygiene as a matter of great emergency today: - Train and educate everyone in hand washing correctly. Many presentations have been illustrated by government agencies, including posters published by WHO. - Use of soaps for washing and bathing the hands, face, feet and other parts of the skin that are exposed. The infection is spread by physical touch and by coughing and sneezing when droplets touch other people within a very short distance. - Proper hand and face drying. Wet towels and tissues may carry the viral bacteria, they must not be touched and must be put in washing machine and dryer. Hot air drying may be the safe method. - Skin related problems. Care must be taken when treating skin that shows rash, inflammation, burns, sores and pores. Water may attract more bacteria and micro-organisms. An antiseptic soap and cream may be useful. - Frequently unwashed parts of the hands. Water should not be run over or splashed in high volume, as that will leave unwashed and dry parts. Best way to clean is that which shows shinning by rubbing and massaging all over gently. This will ensure that treated water goes beyond the hair and cleans the skin thoroughly. - Home care and hand hygiene. Ensure that the surface of everything is sparkling clean, washed and shinning. Take care of glass, door and window handles, pots and pans and other utensils, wash up all the dishes, cups, saucers, tumblers put in the sink or left on tables and worktops, clean up also the mobile phones, laptops and computer keyboards and screens, chairs, settee and furnishing. - Disposable gloves. Wear them properly and ensure they are fit and new, dispose of them properly and carefully after use so that nobody touches them and they don't touch surface of things. It is better to wash the hands with soap after removing the disposable gloves.
Vocera Teams Integration
https://www.vocera.com is a complete mobile communications device used by many healthcare organizations and professionals around the world. Integrating Vocera and Teams could further enable and enhance care. Enabling everyone to do more, faster and easier. My customer currently uses this in their hospitals.How Emerging Opportunities team at Microsoft uses Azure DevOps for project management
We want to share how we created a project management system with Scrum practices based on Azure DevOps. We chose the Scrum template from Azure DevOps that supports Work Items - Epics, Features, Product Backlog Items (PBIs) and Tasks as shown below. Epic represents the overall Project. Features are used to organize specific objectives within the project. To build the features, we need User Stories that group work into logical collections of activities. Tasks captures the actual work that needs to be done to satisfy the User story. During the planning of Sprint, each PBI in the current Sprint is given an estimated effort. Effort is defined as a relative estimate of the amount of work required to fully implement a PBI. To set the effort, you can use any numeric unit of measurement. e.g., powers of 2 (1, 2, 4, 😎 and the Fibonacci sequence (1, 2, 3, 5, 8, etc.). How do we know we are progressing in a Sprint and Sprint-over-Sprint? Sprint Burndown - By reviewing a sprint burndown report, we can monitor how much work remains in a sprint backlog, understand how quickly our team has completed tasks, and predict when our team will achieve the goals of the sprint. We defined it by the number of Tasks under each PBI. To achieve this, the measurement to do a task should be consistent. In our case, Task should be a work that can be completed in a day or less. If a Task, was not marked as Done in 3 days, it was classified as a blocker. This enabled us to easily find any blockers and focus on resolving them to keep the project moving forward. Velocity - We track the velocity to determine how much work we can perform sprint-over-sprint. Velocity provides an indication of how much work a team can complete during a sprint based either on a count of work items completed or the sum of estimates made to Effort (PBIs). By using Azure DevOps for project management, the built-in reporting for burndown charts and Sprint planning allows us to analyze progress, have reasonable expectations from the team, focus on prioritizing and keep everyone fully informed. Resources: https://docs.microsoft.com/en-us/azure/devops/boards/sprints/scrum-overview?view=azure-devops-2020Microsoft Teams COVID-19 Response Bot
Microsoft Teams COVID-19 Response Bot Using an Information BOT to enable companies to build out a knowledge base and FAQ to interact and communicate to their employees. Target Audience: COVID-19 Company Response Teams Every group who is reacting to an unforeseen situation like: Communications, Help Desk, Human Resources, and Operations teams. Technical Requirements: Azure subscription; QnA Maker account; No experience with coding required. The Problem: Many companies have been struggling to provide communications and resources in an automated way. Microsoft Teams COVID-19 Response Bot adds value! In a pandemic situation, many companies that have not completed or started their digital transformation tend to struggle with high volume of inquiries being directed to their front line response teams. Azure Web Bot services can help reduce the overhead of the front-line response teams by inserting an automated layer and interactive for employees to engage your resources. We will show you below how to create a COVID-19 response bot and connect it to Microsoft Teams, a website (Intranet / Internet), and as an email responder in 12 easy steps that does not require any previous coding experience. Microsoft Teams: Employees want an interactive experience to communicate in a chat and ask questions about company resources and frequently asked questions. Intranet / Internet Communication: Employees are expecting crisis communication and interaction on the home page of the intranet to feel connected. Providing a real-time chat bot to allow employees to get company-specific information immediately. Bot used as an Email Responder: Companies can create a mailbox for crisis communication that provides valuable and relevant automated responses. Deploy Microsoft Teams COVID-19 Response Bot: Open Edge and navigate to https://qnamaker.ai on the top right corner click “Sign in” and sign in using your Microsoft Account. Once you have signed into your account, click on “Create a knowledge base” from the top menu. Once you clicked on Create a knowledge base, you will be required to create a QnA service in Microsoft Azure, click on the blue button that says “Create a QnA service". This will redirect you to your Azure portal and directly into Cognitive Services (QnA Maker). Fill the form and click on “Create” at the bottom: Once your deployment has been successfully implemented, go back to QnA Maker portal and click on “Refresh” and select the correct Azure QnA service from the drop downs. It is time to select a name for your Knowledge Base. Now it is time for us to populate the content for our bot, we will choose the URL for the FAQ the CDC has available (https://www.cdc.gov/coronavirus/2019-ncov/faq.html) and we will enable multi-turn, which will allow to present multiple potential matches for a single question, and for personality we will choose professional. Once you have the form filled, click on “Create your KB” this will take few minutes to parse all the questions on your FAQ URL or files (if you uploaded any). Once you are redirected to your knowledge base, click on “PUBLISH” to continue creating the bot A New page will be displayed, you will need to click on “Publish” at the bottom to be able to use this knowledge base to your bot in Azure. Once this task is completed, it will redirect you to the last page we need in QnAMaker.ai, which has a button to “Create bot”, this will redirect you to your Azure Portal again to create a bot. On the Web App Bot section of Azure, verify all the information has been filled and click “Create”, once the task is completed, your bot is live and ready to be used by deploying it on the channel of your preference (Teams, Email, Facebook, GroupMe, Kik, LINE, Skype, Slack, Telegram, Twilio, Cortana, Web Chat, and Direct Line). Deploying your bot on Microsoft Teams Go to your bot and click on "Channels". Click on the Microsoft Teams icon in the center of the page. Click Save and your bot will be ready to be used on Teams. Deploying your bot on a web site Go to your bot and click on "Channels". By default Web Chat is always enabled, click on "Edit" on the far right side. Copy the HTML code into the page you are going to implement the bot by clicking “Copy” in the “Embed code” section, and your bot will be available in the URL you pasted the code. Deploying your bot on an email: Go to your bot and click on "Channels". Click on "Email". Enter your Office 365 email credentials for the mailbox the bot is going to use and hit "Save", and your bot will be able to respond email messages that arrive to that specific mailbox. Bot Solutions Going Forward: HR Benefits, Help Desk, Office 365 Journey Advisor, Adoption Projects, Company branding materials, On-boarding mentor, and more. Contributors: Michelle Gilbert michellegilbert Daniel Lopez DanLopezPart 11 Compliance guide for Dynamics or Dynamics 365
Hello, i wanted to ask if there any compliance guides from Microsoft or other organizations, for FDA Part 11 compliance specifically for Dynamics or Dynamics 365. I have seen some Part 11 Compliance docs for Office 365, Azure, and SharePoint specifically, but nothing for Dynamics or Dynamics 365. I wasn't sure if something existed or not. thank you, markCan Remote Patient Monitoring address many challenges in healthcare?
People who are old might need medical care and observation more often than younger people. That is to be expected as seniors are more prone to diseases and physical injury. Regular diseases aside, elders are also prone to long-term illnesses like dementia or Parkinson's disease. Moreover, lots of them even find it difficult to drive to a clinic or use smartphone applications to order a cab. It is estimated that the end of this decade will see tens of millions of people reach or surpass eighty years of age. The frailty increases drastically as one crosses eighty and they need constant support and care. Experts have warned that the United States is about to reach a tipping point in the area of eldercare, and the country is grossly unprepared. That is mainly because of the rapidly increasing cost of care, coupled with a dearth of home caregivers. In light of this looming problem, https://www.osplabs.com/remote-patient-monitoring-system/ technology has been touted as a promising solution to address the problem of senior care. As the name suggests, remote patient monitoring systems enable caregivers and providers to monitor a patient’s health situation outside clinical settings. The idea of a https://www.osplabs.com/remote-patient-monitoring-system/ based device is to collect the health information of a patient in real-time and transmit it to a physician. The physician can view the health vitals and know about the patient’s health situation. In other words, the doctor and patient need not even be in the same city. If the doctor sees abnormal health data, he or she can immediately notify the patient about it and have an in-person visit arranged. This is an excellent way for a single physician to observe the health vitals of multiple seniors from a remote location and ensure timely care. Recent innovations in remote healthcare monitoring have given immense hope to many physicians and people alike. Let’s look at some innovative remote health monitoring systems that help with senior care - Fall Detector As mentioned earlier, seniors who are of 80 years and above are frail and are at greater risk of accidents and physical injury. A little slip and fall could have catastrophic results. So, a fall detector installed at home alleviates this risk and allows family members to breathe easy. A fall detector is like a camera but without the usual video feed. It detects movement patterns of people in the room and knows if someone fell. It is powered by an advanced artificial intelligence algorithm and knows the difference between a person who fell, and someone who performs activities like bending over, squatting, or anything else. If it detects a fall, it automatically notifies people from a pre-determined list through push notifications or alerts. Moreover, since it doesn’t have a regular video feed, it ascertains privacy for the person being observed. This type of home health monitoring system also ensures peace of mind to the families of elders who might not live with them. Wearable Diagnostic Band This is a band to be worn on the wrist. It detects vitals like body temperature, heart rate, blood pressure, and electrocardiogram at regular intervals throughout the day. In case of deviation from established benchmarks of normalcy, the device automatically notifies the families of the user and also a designated caregiver. This type of patient monitoring software is excellent for seniors who can’t afford home care, and whose family doesn’t live with them. This device could also work as a kind of hospital monitoring system and enable physicians to track patient health in real-time.Digital Transformation in Life Science
Digital transformation is a hot topic across all industries but Life Science has a massive barrier for achieving success. The need for enhanced customer experiences, broadened customer reach, expedited clinical trials, quality & secure data management, faster time to market, and regulatory demand are on the rise and digital solutions are able to impact these initiatives. At the end of the day, change management must be brought into the equation early & often. Organizations that consider change management to be communication & training exercises will miss the mark. Change management is so much more than a single project, a moment in time, but a journey that will inspire innovation, embrace new technologies and build an agile and competitive and alluring culture.Working as a CNA
I am working as a CNA at a facility that is half long term care for elderly people and half temporary placement after surgeries, hospital stays etc. I am having a very hard time getting anyone to attend any activities. Most residents have a phone or a tablet are there any safe games or puzzles on the web they could do as a group or by themselves? Any help would be appreciated!
Scientific Expertise and Procedures from Vendors/Professionals
In the Basic Science world, would there ever be a forum where we can connect with technical support or vendors or other professionals to solve or learn of new techniques in the laboratory to move forward newer and more efficient procedures? Ideally, vendors with Tech Support can provide their expertise and sell/promote their company's products with interactions online.Introducing Scalable and Enterprise-Grade Genomics Workflows in Azure ML
Genomics workflows are essential in bioinformatics as they help researchers analyse and interpret vast amounts of genomic data. However, creating a consistent and repeatable environment with specialized software and complex dependencies can be challenging, making integration with CI/CD tools difficult, too. Azure Machine Learning (Azure ML) is a cloud-based platform that provides a comprehensive set of tools and services for developing, deploying, and managing machine learning models. Azure ML offers great repeatability and auditability features natively that not many workflow solutions offer. It provides a highly integrated and standardised environment for running workflows, ensuring that each step is executed in a consistent and reproducible manner. This feature is particularly useful for genomics workflows that require the use of multiple tools and software packages of certain versions with specific dependencies. In this blog post, we will show how Azure ML can run genomics workflows efficiently and effectively, in addition to being an end-to-end platform for machine learning model training and deployment. Figure 1 illustrates an example of such a workflow. Figure 1: A sample genomics workflow running in Azure ML, consisting of 3 steps. A reference genome input dataset flows into the indexer step, while the sequence quality step gets its data from a folder of DNA sequences (".fastq" files). Azure ML has comprehensive audit and logging capabilities that track and record every step of the workflow, ensuring traceability and repeatability. One of the critical features of Azure ML to achieve these capabilities is its support for users to be able to specify https://learn.microsoft.com/en-us/azure/machine-learning/how-to-manage-environments-v2?tabs=cli#create-an-environment for each workflow step, which guarantees consistent environment execution. These environments can be versioned and centrally shared. Workflow steps within pipelines then can refer to a particular environment. Figure 2 shows one such environment, bwa, version "5". As we make modifications in the environment definition, the new version will be registered as "6", however, we will still be able to continue to use older versions. Figure 2: An example Azure ML environment, defining a Docker image containing the BWA bioinformatics software package. This is the 5th version of this environment registered under the name, "bwa". Like environments, Azure ML supports user created pipeline https://learn.microsoft.com/en-us/azure/machine-learning/concept-component that can be centrally registered for reuse in other pipelines, also versioned, and with an audit log of their usage. Runs are logged together with standard out and error streams generated by the underlying processes, automatically. https://learn.microsoft.com/en-gb/azure/machine-learning/how-to-use-mlflow-configure-tracking?tabs=cli%2Cmlflow and adding custom tags to all assets and runs are supported, too. This feature ensures that the results are consistent and reproducible, saving users’ time. An example versioned component is shown in Figure 3. Figure 3: An Azure ML component named "BWA Indexer". It is a self-contained, re-usable, versioned piece of code that does one step in a machine learning pipeline: running the bwa indexer command, in this instance. Versioning is not limited to environments and pipeline components. Another essential feature of Azure ML is its support for versioning all input https://learn.microsoft.com/en-gb/azure/machine-learning/concept-data and genomic data, including overall pipeline input, and as well as intermediate step and final outputs, if needed. This feature enables users to keep track of dataset changes and ensure that the same version is used consistently across different runs of the workflow, or in others. There are many genomics workflow engines which are very good with multiple parallel execution when it comes to processing files in parallel. However, Azure ML https://learn.microsoft.com/en-us/azure/machine-learning/reference-yaml-job-parallel support parallel running both at the file-level (one by one, or 3 files at a time etc) and at the file chunk-level (50 MB of data per process, or 20 KB of text per node etc) where appropriate as supported by the consuming application, enabling the processing of large genomic datasets efficiently across elastic compute clusters that can auto-scale. Pipelines can even also https://learn.microsoft.com/en-us/azure/machine-learning/v1/how-to-attach-compute-targets#local-computer for test/development phases, and of course support powerful CPU and GPU-based VMs, https://learn.microsoft.com/en-gb/azure/machine-learning/how-to-use-low-priority-batch?tabs=cli or on-demand compute clusters, https://learn.microsoft.com/en-gb/azure/machine-learning/quickstart-spark-jobs?tabs=cli, and other compute targets such as https://learn.microsoft.com/en-gb/azure/machine-learning/how-to-attach-kubernetes-anywhere, making it flexible for different use cases. Azure ML has integrations with https://learn.microsoft.com/en-us/azure/machine-learning/how-to-devops-machine-learning and https://learn.microsoft.com/en-us/azure/machine-learning/how-to-github-actions-machine-learning?tabs=userlevel for CI/CD, making it easy to deploy and manage genomics workflows in a production environment, which in turn makes GenomicsOps possible. Well established pipelines ready for "production use" can be published, and called on-demand or from other Azure services including the https://learn.microsoft.com/en-us/azure/data-factory/transform-data-machine-learning-service. This means we can create a schedule for running pipelines automatically, or whenever data become available. Thanks to its Python SDK, command line utility (https://learn.microsoft.com/en-us/azure/machine-learning/how-to-configure-cli?tabs=public), REST-API, and user-friendly UI, it makes it possible to develop pipelines and initiate pipeline runs from any preferred means, also providing easy monitoring and management of workflows. That said, event-based triggers and notifications are also supported. For instance, one can set up an email alert that will be triggered whenever a genomics pipeline finishes execution. As compute and storage are de-coupled, any pipeline input or output stored in an Azure ML datastore or blob storage can also be accessed by Azure ML’s https://learn.microsoft.com/en-gb/azure/machine-learning/quickstart-run-notebooks Notebooks for any upstream or downstream analysis. Azure ML is a managed PaaS service, making it an accessible and easy to set up platform for genomics researchers and bioinformaticians. Additionally, it has a https://learn.microsoft.com/en-gb/azure/machine-learning/how-to-setup-vs-code for local development and has a https://learn.microsoft.com/en-gb/azure/machine-learning/concept-workspace for managing pipeline projects, enabling collaboration, and Azure role-based access control (RBAC). In conclusion, Azure ML comes with advanced security features, including AD authentication, public & private endpoints, subscription-based event triggers, storage backed by the Azure Storage Service that comes with encryption at rest and in transit, and application insights, making it a reliable and already proven enterprise platform that can also be natively used for genomics research. For a more detailed tutorial that shows how to set up and run the example workflow shown in Figure 1, as well as for all the source code for creating the aforementioned sample environments and components, please check out this GitHub repository: https://github.com/truehand/azureml-genomics
Microsoft Cloud for Healthcare: please help!
Hello, I have a client a (Healthcare System) who reached out and wants to utilize Microsoft Cloud for Healthcare. Yet, the Microsoft Account Manager I am working with says he doesn't know how to sell it and there's pretty much nothing we can do except consult with the Azure team? And they have pushed me back for weeks. This client wants to see a demo and have a final build by end of August but for the past three weeks I have made little progress due to my "contacts" at Microsoft. I fear this client is going to jump ship if I do not have an update- as you can see I am desperate. We are in a bad spot right now, so any help is good help. Thank you
5 ways Healthcare Organizations are leveraging Microsoft Azure for Cybersecurity
Healthcare organizations across the globe face mounting challenges when it comes to safeguarding sensitive patient data against cyber threats. In this digital age, leveraging advanced technology has become imperative for ensuring robust cybersecurity measures. Microsoft Azure, a cloud computing service, has emerged as a powerful ally for healthcare entities in fortifying their cybersecurity frameworks. Here are five ways healthcare organizations are utilizing Microsoft Azure to bolster their cybersecurity measures: Advanced Threat Protection: Microsoft Azure offers advanced threat protection capabilities that enable healthcare organizations to proactively detect and respond to potential security threats. Leveraging Azure's sophisticated tools like Azure Security Center and Azure Sentinel, healthcare entities can gain real-time insights into their network, identify anomalies, and swiftly mitigate potential risks before they escalate. Secure Cloud Infrastructure: With Azure's robust infrastructure, healthcare organizations can securely store and manage vast amounts of patient data in compliance with stringent regulatory requirements such as HIPAA. Azure's built-in security features, including encryption, firewalls, and access controls, ensure that sensitive healthcare information remains protected while stored or transmitted across the cloud. Compliance and Governance: Healthcare organizations are bound by strict regulatory standards concerning data privacy and security. Microsoft Azure aids in ensuring compliance with industry regulations by providing specialized compliance offerings and adherence to international standards. Azure's compliance certifications, including HIPAA and HITRUST, offer healthcare entities peace of mind by aligning with industry best practices. AI-Powered Security Analytics: Azure's integration with artificial intelligence and machine learning equips healthcare organizations with powerful tools for predictive analytics and threat intelligence. By harnessing AI-driven insights, healthcare entities can anticipate potential security breaches, identify patterns in cyber threats, and enhance their overall cybersecurity posture. Continuous Monitoring and Incident Response: Azure enables healthcare organizations to implement continuous monitoring mechanisms and robust incident response protocols. Through Azure's automated monitoring tools and centralized logging, healthcare entities can continuously assess their security posture, detect vulnerabilities, and promptly respond to security incidents, thereby minimizing potential damages. In conclusion, Microsoft Azure offers a comprehensive suite of cybersecurity solutions tailored to the unique needs of healthcare organizations. By leveraging Azure's advanced capabilities in threat detection, secure cloud infrastructure, compliance adherence, AI-driven analytics, and incident response, healthcare entities can significantly fortify their defenses against evolving cyber threats. Embracing these strategies not only enhances patient data protection but also instills trust and confidence among stakeholders in the healthcare ecosystem.Some Significant Advances of Azure Cloud in Healthcare
Healthcare AI and Machine Learning: Azure offers a robust set of AI and machine learning tools, enabling healthcare organizations to develop and deploy advanced analytics and predictive models. This can be used for tasks like diagnostics, personalized medicine, and population health management. Secure and Compliant Data Management: Azure provides a secure and compliant platform for healthcare data. It complies with various industry standards and regulations, such as HIPAA (Health Insurance Portability and Accountability Act), ensuring that sensitive patient information is handled securely and in accordance with legal requirements. Hybrid Cloud Solutions: Azure's hybrid cloud solutions are particularly valuable for healthcare organizations that may need to maintain some of their data on-premises due to regulatory or practical considerations. Azure's hybrid capabilities allow seamless integration between on-premises infrastructure and cloud services. IoT in Healthcare: Azure IoT services have been used in healthcare to connect and manage medical devices, wearables, and sensors. This facilitates real-time monitoring of patients, enables remote healthcare services, and enhances the overall efficiency of healthcare delivery. Telemedicine and Remote Patient Monitoring: Azure has been instrumental in supporting telemedicine solutions, allowing healthcare providers to offer remote consultations and monitor patients outside traditional healthcare settings. This has become especially crucial in times of global health crises. Healthcare Analytics and Insights: Azure's analytics and big data services empower healthcare organizations to derive insights from vast amounts of data. This can help in understanding patient trends, improving operational efficiency, and making data-driven decisions for better healthcare outcomes.Pioneering system protecting healthcare staff from surgical smoke secures place on NHS Wales.
A smoke evacuation system developed to keep operating theatres smoke free has successfully won a place on the NHS Wales framework agreement. Cardiff-based manufacturer Eakin Surgical is one of the suppliers appointed by NHS Wales Shared Services Partnership to the national framework agreement. The contract award means the company – a distributor for the CIMPAX® C-PURE 750™ Smoke Evacuation System – can help the NHS across Wales to better protect its staff from the dangers of surgical smoke. Developed by Danish manufacturer CIMPAX ApS, the CIMPAX® C-PURE 750™ Smoke Evacuation System is widely recognized as the gold standard in smoke evacuation. Since the early 1980s surgical smoke has been known to be a significant chemical and biological hazard and has been shown to be as mutagenic as cigarette smoke. Electrosurgery devices which use high-frequency current to cut and coagulate tissue are the most common at producing surgical smoke plumes. One study found that on average the smoke produced daily was equivalent to the amount produced by 27-30 cigarettes. Despite this discovery 40 years ago, the adoption of measures to remove the smoke plume from the surgical environment have been slow and inconsistent. More recently, research has shown that smoke inhaled by theatre staff during procedures can contain over 40 different hazardous chemicals and can lead to complications from viral infections through to respiratory illness with further links to pregnancy complications and cancers. While other products may only disperse the smoke plume, the CIMPAX® C-PURE 750™ has been developed to deal with the problem and keep surgical teams safe from smoke inhalation. Its unique 3-port filter offers a variety of flexible options for tubing and accessories to meet clinical needs and sets new precedents for quiet operation. The system can be operated with a Remote Sensor Activator, control panel, or a foot pedal. Also available on the framework is the CIMPAX® C-VAC TORNADO™ electrosurgical pencil. Offering the ultimate combination of Electrosurgery and removal of hazardous smoke in one instrument, the device has been developed to minimize risk of smoke exposure to the OR team and patient. The unique triangular design combined with the silicone cover offers the surgeon an ergonomic and safe grip, while a special adaptor ensures the device can be fitted to any smoke evacuation system in the market. With the NHS committed to reducing its carbon footprint, the eco-friendly material of the device also means it has the added benefit of a smaller environmental footprint. Jon Blastland, Commercial Director said: “Following a tender for the supply of electrosurgical instrumentation across NHS Wales, we are thrilled to announce that our company has successfully secured a place on the NHS Welsh framework agreement. As the UK distributor for the pioneering CIMPAX Smoke Evacuation System, we are pleased to be able to support the NHS in its goal to better protect its staff from the well-known dangers of surgical smoke. With Eakin Surgical is being a Welsh company, we are also particularly delighted to be able to serve the Welsh community and provide revenue into the Welsh economy.” Eakin Surgical is committed to improving the outcomes of surgery for both patients and theatre staff; and as such, promote the use of ‘best practice’ on tip extraction of surgical smoke for every instance in which it is generated.
"Enhancing Service Delivery at NSFAS through Microsoft Technologies"
By integrating Microsoft technologies, https://applyfornsfas.co.za/ can streamline application processes, enhance communication with applicants, and automate administrative tasks, resulting in improved efficiency, transparency, and service delivery to students in need.
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