Dharmesh Patel’s Post

From Data to Insights 🕵️ Extracting valuable insights from clinical data is a common struggle for a lot of healthcare organizations. Our innovative Clinical Intelligence Engine architecture template simplifies the process. Learn how Augmedix integrates data seamlessly with Google Cloud's data lake to unlock powerful analytics and generate actionable care recommendations. 👉 Read our blog to learn how it optimizes operational performance, cost-effectiveness, and ultimately, patient care quality, or check out next week’s Google Cloud HCLS Summer Camp session on ambient listening with Ian Shakil https://lnkd.in/gHtQQQRv #healthcare #clinicalAI #GoogleCloud

Oncoshot built a federated AWS platform that enables secure patient data exchange between healthcare organizations. This allows experts to access insights and expedite therapies without exposing sensitive data. #aws #awscloud #cloud #analytics #architecture #awspartnernetwork #businessintelligence #customersolutions #healthcare #industries #intermediate200 #lifesciences #publicsector #awspartnerguestpost #awspartnersolutionsarchitectssa #awspartnersuccessstories #oncoshot

If you’re a healthcare data nerd (and aren’t we all!), you might enjoy reading Shania Kennedy’s primer in HealthITAnalytics on the health data processing cycle and its impact on health data analytics. Kennedy walks us through data collection steps and challenges, the role data processing plays in medical decision-making, and how healthcare organizations can use cloud computing to improve data processing. But no matter how effective an organization is at data collection and processing, the very first step Kennedy mentions – data generation – is key to data quality. And that’s our focus at 4medica. We help healthcare organizations improve the quality of their data by eliminating duplicate patient records, overlays, and other errors that can negatively impact outcomes and dilute the value of analytics. You can read the full article in the link below. tinyurl.com/4jfsnm7h| #HealthITAnalytics #HealthData #HealthDataQuality

Excited to share a transformative journey with a leading US hospital chain! Our collaboration aimed to bring analytical clarity to patient care quality, and we did just that with the power of Google Cloud Platform's BigQuery. Facing the challenge of tying financial performance to patient outcomes across 18 hospitals, we created a GCP-native analytics layer. This allowed seamless data integration, thoughtful transformations, and a deep dive into healthcare metrics. 🔍 The result? Multiple quality benchmarking dashboards, empowering our partners to make insightful decisions on physician performance, patient well-being, and overall care quality. 🚀 Dive into the full article for an inside look at how we helped them not just meet but exceed expectations. #healthcareinnovation #datadrivendecisions #GCPMagic #PersistentPartnershiphs https://lnkd.in/g85WEkQa

AI-powered clinical intelligence engine: Transforming healthcare delivery Explore how Google Cloud services can be leveraged to build an intelligence engine for clinical data. By integrating data from electronic health records (EHRs) with ambient clinical notes, healthcare providers can gain valuable insights from patient-provider conversations, ultimately improving healthcare delivery. Click to learn more about how Google Cloud is transforming healthcare.

We're excited to share a new blog published to Google Cloud's Community Blog: "The future of clinical data: building an intelligence engine with Augmedix & Google Cloud." Ian Shakil, Tomer Levy, and Michael Leff from Augmedix joined Google Cloud's Dharmesh Patel in creating an in-depth Clinical Intelligence Engine architecture guide. Clinical Intelligence Engine is a Google Cloud-based data analytics solution that proactively generates clinical intelligence and care recommendations, providing health systems with the insights they need to improve enterprise efficiency and care quality. Read the blog to explore how Augmedix is innovating with Google Cloud: https://bit.ly/3XZnZDZ #GoogleCloud #MedicalDocumentation #HealthcareInnovation #AIinnovation

KLAS Research Report shows why Snowflake’s healthcare customers rate the Data Cloud high in performance and cost savings. Snowflake receives 92.2% Performance Score from KLAS Research. https://lnkd.in/gjjgv6KM #snowflake #datacloud #dataanalytics #healthcare #lifesciences #datawarehouse #datalake #ml #ai #genAI #dataengineering #KLAS #healthtech #healthdata

#AzureDaily Discover the unified #HealthcareAnalytics solution for the era of precision medicine with Microsoft Azure and tools like Azure Synapse, Power BI, and FHIR to unlock novel insight from healthcare data and enhance patient outcomes! #Azure #MicrosoftCloud #PrecisionMedicine🔬🏥☁️

The Future of Clinical Data is Here! Discover how Augmedix and Google Cloud are revolutionizing healthcare by building an intelligence engine that transforms clinical data. Learn how this groundbreaking collaboration leverages cutting-edge technology to create a smarter, more efficient healthcare system. Link: https://shorturl.at/RudmY #HealthcareInnovation #Augmedix #GoogleCloud #ClinicalData #IntelligenceEngine #FutureOfHealthcare #DigitalHealth #MedicalTechnology #PatientCare #Inflexion #Inflexionanalytics #IXA #GCP

🔍 Why Data Dashboards Matter for Exploring Clinical Data: 🚀 1. Real-Time Visibility: Data dashboards provide a dynamic, real-time snapshot of critical clinical metrics. This immediate visibility empowers healthcare professionals and researchers to respond swiftly to emerging trends, ensuring rapid decision-making for patient care and research strategies. 💡 2. Enhanced Analytics: With interactive dashboards, clinicians can delve deep into diverse datasets, uncovering patterns, correlations, and outliers. This analytical depth enables a more comprehensive understanding of patient outcomes, treatment efficacy, and the overall performance of healthcare interventions. 🌐 3. Streamlined Monitoring: Imagine having the ability to monitor patient vitals, treatment responses, and adverse events seamlessly in one centralized platform. Data dashboards streamline the monitoring process, allowing for proactive identification of issues and the implementation of timely interventions. 📈 4. Performance Tracking: Dashboards facilitate the tracking of clinical trial and healthcare program performance. Researchers can evaluate the success of protocols, identify areas for improvement, and adapt strategies in real time, ultimately enhancing the efficiency of healthcare delivery. 🔄 5. Continuous Improvement: By leveraging data dashboards, healthcare professionals can implement a continuous improvement cycle. Regularly updated insights allow for the refinement of treatment protocols, resource allocation, and overall healthcare strategies based on the latest available information. 👥 6. Collaborative Decision-Making: Data dashboards promote collaboration among multidisciplinary teams. Clinicians, researchers, and administrators can share a common platform, fostering transparent communication and collective decision-making for improved patient outcomes. Read about our dashboard services at https://bit.ly/3UnBjjS