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Managing data sharing and access in healthcare systems
I am looking for general guidance on how healthcare teams manage data sharing and user access across different systems. I am interested in understanding common approaches for keeping data secure while still allowing the right staff to access what they need. This is more about best practices and real-world experience rather than a specific product issue. Any insights from similar healthcare environments would be helpful.
Help Creating an Excel File to Calculate Student Commutes to Clinical Sites and Filter Site Details
Hello, I’m hoping someone can help me create an Excel document for a fairly complex need. I oversee a large number of students across my state and am trying to ensure fairness in the clinical rotations they are assigned to. I would like to set up an Excel spreadsheet that can: House student names along with their home addresses. List multiple clinical site addresses that students may rotate to. Calculate and display the commute time and distance (in miles) from each student’s home address to each potential clinical site. Additionally (if possible), I would love to be able to filter the clinical sites based on certain characteristics, such as: Types of MRI scans performed at the site Patient volume (high volume vs slower paced) Type of location (small town hospital, large city hospital, or mobile MRI unit) If the filtering features are too complicated, I would at least like help setting up the commute calculations between home addresses and multiple site addresses. I appreciate any guidance or ideas. Thank you so much in advance for your help!
24 hour time slots from a specific time point
Hi! Is there a formula to make 24 hour time slots from a specific time? For example, 3/3/25 @ 0810. The 1st 24 hour box would be (3/3/25 @ 0810 - 3/4/25 @ 0810), 2nd 24 hour box (3/4/25 @ 0810 - 3/5/25 @ 0810), etc. Also, once those 24 hour prefilled dates and times are created for 15 days, is it possible to take a shreadsheet with dates and time entries and place them into the correlating 24 hour time slots from a specific time? For example, if an entry was dated and timed 3/3/25 @ 0935, and 3/4/25 @ 0700, both of those would fall into the 1st 24 hour box and so on. Thank you in advance for saving me hundreds of hours doing this by hand!
Understanding the Role of SASSA Grants: A Discussion
How have https://onlinesassastatuscheck.co.za/ Grants impacted poverty alleviation and social welfare in South Africa? Join the conversation to share your insights, experiences, and analysis of the role SASSA plays in supporting vulnerable populations across the country.Enhancing Healthcare AI with Model Context Protocol and Semantic Kernel
AI in healthcare isn’t just about chatbots or summarizing clinical notes anymore. We’re entering an era where AI must act—connecting to enterprise systems, pulling live data, and executing workflows—all while respecting the complex and high-stakes environment of healthcare. That’s where Microsoft’s Model Context Protocol (MCP) and the Semantic Kernel SDK come in. The full article is here: https://pauljswider.substack.com/p/enhancing-healthcare-ai-with-model Not trying to spam. I was receiving errors when I attempted to copy here. Feedback is appreciated.
Excel Template
Hi, I would like a suggestion on how to create an excel sheet to monitor sample reception monthly and yearly. I would like to include variables such as total samples received monthly, number of samples tested, number of positive and the district the samples were received from. I am not really a tech guru but I follow instructions. ThanksAI and Machine Learning Revolutionizing Healthcare
Artificial intelligence (AI) and machine learning (ML) are rapidly transforming the healthcare landscape, bringing about a new era of personalized, efficient, and data-driven care. These technologies are revolutionizing various aspects of healthcare, from diagnosis and treatment to drug discovery and patient management. Diagnosis and Treatment: AI and ML algorithms are being used to analyze medical images, such as X-rays, CT scans, and MRIs, with unprecedented accuracy. This allows for earlier and more accurate diagnosis of diseases like cancer, heart disease, and neurological disorders. Additionally, AI-powered systems can analyze patient data, including medical history, lab results, and genetic information, to predict the risk of developing certain diseases and recommend personalized treatment plans. Drug Discovery and Development: AI and ML are playing a crucial role in accelerating drug discovery and development. These technologies can analyze vast amounts of data to identify potential drug targets and predict the efficacy and safety of new drugs. This can significantly reduce the time and cost of bringing new drugs to market. Patient Management and Monitoring: AI-powered chatbots and virtual assistants are being used to provide patients with 24/7 support and information. These systems can answer patients' questions, schedule appointments, and even monitor their health status remotely. Additionally, AI algorithms can analyze patient data to identify those at risk of complications or readmission, allowing for early intervention and improved outcomes. Administrative Tasks and Workflow Optimization: AI and ML can automate many administrative tasks in healthcare, such as scheduling appointments, processing claims, and managing medical records. This frees up healthcare professionals to focus on providing direct patient care. Additionally, AI-powered systems can analyze data to identify inefficiencies in workflows and suggest improvements, leading to increased efficiency and cost savings. Challenges and Ethical Considerations: Despite the numerous benefits, AI and ML in healthcare also present challenges and ethical considerations. Data privacy and security are critical concerns, as AI systems rely on vast amounts of patient data. Additionally, ensuring fairness and avoiding bias in AI algorithms is crucial to prevent discrimination and ensure equitable access to healthcare. Conclusion: AI and ML are revolutionizing healthcare, offering the potential to improve patient outcomes, reduce costs, and increase efficiency. However, it is important to address the challenges and ethical considerations associated with these technologies to ensure their responsible and equitable implementation. As AI and ML continue to evolve, the future of healthcare promises to be more personalized, data-driven, and accessible than ever before.
How Social Support Programs Impact Healthcare Accessibility in South Africa
How have https://onlinesassastatuscheck.co.za/ Grants impacted poverty alleviation and social welfare in South Africa? Join the conversation to share your insights, experiences, and analysis of the role SASSA plays in supporting vulnerable populations across the country.
