Hospital Management Software

I built a multimodal AI Agent that explains medical scans in simple English. And I'm sharing ALL the code. Here's what it can do: 1. Comprehensive Image Analysis ↳ Identifies scan types (X-ray, MRI, CT, ultrasound) ↳ Detects anatomical regions automatically ↳ Highlights potential abnormalities 2. Smart Diagnostic Support ↳ Provides systematic observations ↳ Lists potential diagnoses ↳ Includes severity assessments 3. Web Search Capability ↳ Searches medical databases online ↳ Provides relevant search results as URL ↳ Supports clinical decisions 4. Technical Implementation ↳ Built with Gemini 2.0 Flash ↳ Runs on phidata framework ↳ Uses DuckDuckGo for web search Want to try it yourself? Here's the code 100% opensource 🌟 GitHub Repo: https://lnkd.in/dW6b_dEn This is STRICTLY for education and not for real diagnosis. P.S. I create these tutorials and opensource them for free. Your 👍 like and ♻️ repost keeps me going. So don't shy and share this post with your friends. Don't forget to follow me Shubham Saboo for daily tips and tutorials on LLMs, RAG and AI Agents.

Most people don’t know what an oncology pharmacist does When advocating for a position, we have to remember that fact 👆 We need data to drive our justifications because that’s what the people in charge respond to Strong proposals align with the organization’s strategic priorities and demonstrate the pharmacist's impact on key metrics such as patient volumes, acuity, cost savings, quality initiatives, and revenue generation Pharmacists often dislike being measured by traditional metrics - and for good reason Many standard metrics don’t fully capture the complexity and impact of what we do. Ideally, we'd have metrics that better represent our work, but until then, when it comes to justifying a position, metrics are the language of decision-makers. The key is to use the right data - ones that reflect the pharmacist’s true value and tell a compelling story ➡️ Justifying an inpatient (IP) position An IP pharmacist plays a crucial role in optimizing therapy, ensuring patient safety, and supporting interdisciplinary teams. Justification metrics might include: 🆙 Patient Census/Acuity : Higher patient volumes or increased complexity (e.g., BMT, CAR-T) necessitate dedicated pharmacy support (and may be accreditation requirement) 👩🏫 Teaching/Precepting: Training students and residents add value to both the institution and patient care 💰 Drug Spend/High-Risk Meds 💊: Pharmacists help optimize therapies, prevent AEs, and guide cost-effective use of high-cost or high-risk agents like chemo, immunotherapy, and supportive care meds, which is especially important in the inpatient setting due to the reimbursement structure. ➡️ Justifying an outpatient (OP) position Justifying an OP pharmacist position requires demonstrating their role in improving outcomes and financial sustainability. Key metrics include: 📊 Quality Measure Performance: Pharmacists contribute to adherence with oral chemotherapy, symptom management, and treatment guidelines, directly improving value-based care metrics ⌛ Physician Offset Time: Pharmacists can free up provider time by handling medication management, patient counseling, and prior authorizations - allowing them to see more patients 💵 Revenue Generation: Depending on the state and organization, pharmacists can generate direct revenue through incident-to billing, oral chemotherapy management programs, or reimbursement for clinical services such as transitions of care When justifying a full-time equivalent (FTE) pharmacist position, we also need to account for non-productive time such as PTO A 1.0 FTE is functionally closer to a 1.2 FTE when factoring in ~12% for this time which ensures adequate coverage and prevents gaps in patient care 💡 Bottom Line: A successful justification speaks the language of administration --- I’m the Kelley in KelleyCPharmD 👋 and I help pharmacists learn the complex world of oncology #LearnOncology #Pharmacists #OncologyPharmacists #Oncology

Automation Tip Tuesday! 𝗣𝗿𝗼𝗯𝗹𝗲𝗺: A small medical practice uses Pipedrive for lead management and Calendly for appointments. Lots of manual work to schedule an initial appointment. 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻: Automate the steps, saving time (and reducing the risk for human error!) 1. New inquiries come in through the company’s website 2. Use Zapier to automatically add the lead to Pipedrive 3. Use Zapier to send an email with a link to schedule via Calendly. 4. Calendly is connected to Zoom so the scheduled appointment includes the link 5. When the client schedules an appointment, the deal in Pipedrive is update to “Call Scheduled” 6. Use Calendly automation to send an appointment confirmation.  7. If the prospect doesn’t schedule, a follow-up email is sent This can work with a bunch of different CRMs (Keap, HubSpot, etc) and meeting (like Google Meet) combos. -- Hi, I’m Nathan Weill, a business process automation expert. ⚡️ These tips I share every Tuesday are drawn from real-world projects we've worked on with our clients at Flow Digital. We help businesses unlock the power of automation with customized solutions so they can run better, faster and smarter — and we can help you too! #automationtiptuesday #processautomation #softwareintegration

Transforming Healthcare Communication: Why It's Time to Say Goodbye to Fax Machines In an era where technology is at the heart of innovation, the healthcare sector stands at a crucial crossroads. While we've embraced advancements in diagnostics, treatment, and patient care, one aspect still needs to be updated: the reliance on fax machines for communication. 🔍 The Challenge: Fax machines, once revolutionary, are now a bottleneck for efficiency and a source of frustration in hospitals. They represent an outdated method that slows down processes and poses risks to data security and patient confidentiality. The Solution: Integrating Artificial Intelligence (AI) in hospital communication systems. AI offers a seamless, faster, and more reliable method of managing patient information, referrals, and critical health data. Benefits of Transitioning to AI: Enhanced Efficiency: AI can process and analyze information much faster than traditional methods, reducing wait times and improving patient care. Improved Accuracy: With AI, the risk of human error is significantly reduced, ensuring that critical patient information is always correct and current. Better Data Security: AI systems offer advanced encryption and security protocols, safeguarding sensitive patient information far more effectively than physical fax documents. Accessibility: AI-driven platforms can be accessed from anywhere, allowing healthcare professionals to share and review patient information and improving collaboration across departments and specialties. 🔗 Moving Forward, Not Backwards: It's time for the healthcare sector to embrace the digital age fully. The shift from fax machines to AI is not just an upgrade; it's a transformation that can enhance healthcare delivery, making it safer, faster, and more efficient. Let's lead the charge in making healthcare communication smarter, safer, and more suited to the needs of the 21st century. The future of healthcare depends on our ability to innovate and adapt. #HealthcareInnovation #DigitalTransformation #ArtificialIntelligence #ModernHealthcare

Filing a health insurance reimbursement claim involves several key steps to ensure a smooth process and avoid claim rejections: Advance Notification: Inform your insurer about the planned medical treatment or hospitalization in advance. In emergencies, notify them as soon as possible. This step is crucial for both cashless and reimbursement claims. Collect Original Documents: Gather all original documents related to your treatment, including hospital bills, discharge summaries, prescriptions, diagnostic reports, and payment receipts. Maintaining copies for your records is also advisable. Complete the Claim Form: Accurately fill out the health insurance reimbursement claim form provided by your insurer. Ensure all required information is complete to prevent processing delays. Submit the Claim:Submit the completed claim form along with all supporting documents to your insurance company's nearest branch or through their designated channels.Some insurers offer online submission options for initial processing. Follow Up: After submission, monitor the status of your claim.Promptly respond to any additional information requests from the insurer to facilitate timely processing. A recent LocalCircles survey revealed that 35% of health insurance policyholders experienced claim rejections primarily due to insufficient or incorrect documentation. This highlights the critical importance of maintaining accurate and comprehensive records to ensure a smoother claims process. By meticulously following these steps and maintaining thorough documentation, you can enhance the likelihood of a successful reimbursement claim and minimize the chances of rejection. Insurance Samadhan Anuradha Mishra #insurancenews #reimbursement #Healthinsurance #getyourclaim #Polifyx https://lnkd.in/gjuW-tAY

I spend a huge part of my week just managing my calendar — finding free slots, rescheduling meetings, dealing with recurring events, and juggling multiple time zones. It’s tedious and eats into real work. That’s why I decided to build my own solution: a Google Calendar AI agent powered by Google’s Agent Development Kit. This agent can: 👉 Understand plain English commands like “Schedule a 1-hour call with Alex next Tuesday morning”. 👉 Suggest free time slots based on my existing calendar. 👉 Handle recurring events, cancellations, and attendees automatically. 👉 Work across time zones without any manual conversion. While building this, I learned something crucial: AI isn’t just about generating text — it can actually perform actions that solve real problems. Designing this agent taught me how to bridge natural language understanding with real-world API actions. I wrote a detailed step-by-step blog, including code snippets and logic, so anyone can replicate this setup or build their own AI productivity assistant: https://lnkd.in/dsDhtcMr #AIAgents #AgentDevelopmentKit Google Cloud #GoogleAI #GoogleCalendar #CalendarManagement #AgenticAI

Key Stages of RCM (Revenue Cycle Management) From patient appointment to final payment collection 📍 1. Patient Scheduling & Registration Begins when the patient contacts the clinic or hospital. Collect: Full name, DOB, contact info Insurance details (payer, plan type, ID number) Authorization/referral details (if required) Goal: Ensure accurate demographic and insurance data from Day 1. 📍 2. Insurance Eligibility & Verification Before the visit, verify: Insurance status (active/inactive) Coverage limits, co-pay, deductible Network status (in-network or out-of-network) Tools: Insurance portals, IVR, real-time eligibility tools 📍 3. Patient Visit & Documentation Doctor sees the patient and notes all symptoms, diagnosis, procedures. Medical documentation must be complete and accurate. Forms the base for coding later. 📍 4. Medical Transcription (if applicable) Doctor's notes are transcribed into digital text (manually or via voice-to-text tools). Transcriptionists ensure that terms and conditions match clinical standards. 📍 5. Medical Coding Translators of care into codes: ICD codes: Diagnosis (e.g., E11.9 = Diabetes Type 2) CPT codes: Procedures (e.g., 99213 = Office visit) Coders follow: Payer-specific rules Coding guidelines to avoid denials 📍 6. Charge Entry Charges are entered into the system based on the coding sheet. Verify: Fee schedules Correct provider and facility details Modifiers (if needed) Accuracy here prevents under/overbilling. 📍 7. Claim Submission Claims are sent to the insurance company (electronically or manually). Passed through a Clearinghouse to: Scrub errors Validate required data Check payer-specific edits 📍 8. Payment Posting Once the claim is processed: Payments received via EOBs (Explanation of Benefits) or ERAs (Electronic Remittance Advice). Payments are posted in the system against the correct patient account. Identify underpayments or overpayments. 📍 9. Accounts Receivable (AR) Follow-Up Unpaid or denied claims are handled by AR specialists. Tasks: Call insurance for status Resubmit or appeal if needed Track aging reports 📍 10. Denial Management Analyze denial codes (CO-197, CO-204, etc.) Root causes: Coding error Authorization missing Timely filing exceeded Rework and resubmit claim or escalate. 📍 11. Patient Billing & Collections Send statements for any patient responsibility: Co-pays, co-insurance, deductibles Follow up via emails/calls Offer payment plans if needed 📍 12. Refunds & Audits Overpayments are reviewed and refunded. Internal audits done to ensure compliance and accuracy. 13. Reporting & Analytics Key Reports: Aging reports (by payer, by patient) Denial trend reports Clean claim rate First pass resolution rate Collection percentage (insurance vs. patient) Audit findings ✅ Final Outcome: The goal of RCM is timely and full payment with minimum denials and maximum accuracy.

Remote patient monitoring via telemedicine enables continuous tracking of vital signs through digital tools. Implementing this system in a business context demands a focus on key aspects like technological infrastructure, data security, and active participation from healthcare professionals and patients. This innovative approach offers significant potential to enhance patient care but requires careful planning and execution: Advanced Technology Integration: Utilize connected medical devices for precise and continuous real-time health data collection. Robust IT Infrastructure: Ensure a secure, reliable IT framework for storing, analyzing, and providing real-time access to patient health data. Data Security and Compliance: Protect sensitive health data with encryption and secure connections to comply with healthcare regulations. Seamless System Integration: Integrate remote monitoring tools with existing healthcare systems for a comprehensive patient health view. Staff Training and Support: Train healthcare professionals to use telemedicine tools and interpret real-time patient data effectively. Patient Engagement and Education: Educate patients on using monitoring devices and the importance of data sharing for the success of telemedicine initiatives. Continuous Technical Support: Provide ongoing technical support to maintain the smooth operation of the monitoring system. Data Analysis and Reporting: Regular analysis and reporting of health data help identify trends, spot anomalies, and enhance patient care. Scalability and Adaptability: Ensure the system can scale and adapt to handle an increasing number of patients and diverse medical conditions efficiently. Implementing these strategies ensures that remote patient monitoring enhances healthcare delivery while maintaining data security and compliance. #Telemedicine #HealthcareInnovation #MedicalTechnology Ring the bell to get notifications 🔔

🫀 In a recent interview, I explained how AI is changing the way we see the heart—literally. Because when it comes to your heart, every second—and every pixel—matters.  From CT to MRI to Ultrasound. At Philips, we’re using AI to make heart scans faster, clearer, and more comfortable for patients. Our AI-powered tools are already helping doctors spot heart problems earlier—sometimes even before symptoms appear. Here’s how: 🔹 CT 5300 – Built for AI-based image reconstruction, delivering clearer images with less radiation. 🔹 Spectral CT 7500 – Enables 15-minute Spectral scans that can rule out multiple CV conditions at once. 🔹 Precise Cardiac – AI that compensates for heart motion, improving diagnostic confidence. 🔹 SmartSpeed MRI – Uses Dual AI engines to sharpen image quality and cut scan times. 🔹 Compact Ultrasound 5500CV – Portable and powerful, it reduces scan time by up to 50% and improves consistency. And we’re not stopping there. Our collaboration with NVIDIA will build a powerful MRI foundational model to push diagnostic accuracy even further, helping us generate new MRI applications. More here->  https://lnkd.in/eZKcX8WE #Cardiac #AI

I just published a technical tutorial on deploying Google's MedGemma for medical AI applications. Covers implementation on both Vertex AI and Hugging Face Pipelines, including deployment configuration, quota management, and practical chest X-ray analysis examples. The guide demonstrates MedGemma's specialized architecture improvements over base Gemma 3 models, with performance comparisons and real-world medical imaging interpretation results. Full technical details and code examples available. 😀 https://lnkd.in/dauFhKTT #MedGemma #HealthcareAI #MachineLearning #GoogleAI #MedicalImaging #VertexAI #HuggingFace #HealthTech #ArtificialIntelligence #AISprint