Tiga Healthcare Technologies’ Post

From Reactive to Proactive: Public Health EHRs Drive Data-Driven Decisions 🌐📊 Public health interventions are most effective when based on real-world data. Traditional EMRs often lack robust reporting capabilities, limiting public health professionals' ability to measure program effectiveness and allocate resources efficiently. Our Intrahealth, a HEALWELL AI Company Public Health EHR, empowers data-driven decision-making by: 📈 Advanced Reporting & Analytics: Generate insightful reports on program performance, program reach, and population health factors, allowing for targeted resource allocation. 🔍 Predictive Modeling: Leverage data to identify potential outbreaks and health disparities, enabling proactive interventions and improved public health preparedness. 📜 Evidence-Based Policy Making: Support data-driven policy decisions that address the specific needs of your community. Learn more about our Public Health Solutions on our website: 🌐 https://lnkd.in/gM6Saa8T 📅 Book a demo with our team to see how Profile can make a difference in your organization: https://lnkd.in/guXHe4M9 #Intrahealth #EMR #PublicHealthData #EHR #DataDrivenDecisions #PublicHealth #PopulationHealth #PublicHealthPolicy #AI #Healthcare

The healthcare system is shifting from fee-for-service to a value-driven and evidence-based service model. In this model, improved patient experience and care quality are paramount. To achieve this, patient health data plays a crucial role. For a health setting, it is important to capture all the health data points and aggregate all data sets into a big data algorithm. The potential of big data in healthcare is huge. It can predict epidemics, prevent diseases, population health management, care cost reduction and more. The big data in healthcare is so much more than we project. Don't you agree? What more can big data offer to the healthcare industry? Donna McLaughlin-Travis Jeffrey Feehan Allison Raffaele David Joyner

📈 What data are you using in your PCN to improve health outcomes for your patients? The PCN DES specification states that a "PCN must seek to improve health outcomes for its population using a data driven approach and population health management techniques in line with guidance and the CORE20PLUS5 approach." There are a lot of of different datasets which can be used to help deliver this service requirement with the SHAPE Atlas Tool being one of those. The SHAPE Atlas Tool, managed by Parallel Data Intelligence, offers an array of up-to-date datasets crucial for meeting DES service requirements, which can support improving health outcomes for patient populations. During our recent SHAPE Atlas Tool PCN Focus Group, our friends at Parallel showcased: 📊 Different datasets available and their application in practices and PCNs. 📈 Patient outcomes and health inequalities data for informed decision-making. 💼 PCN workforce planning tools to optimise capacity and demand modelling now and in the future, utilising patient population and health data. 🗣 We are holding our second SHAPE Atlas Tool Focus Group next Wednesday at 11am, we would love for you to join us.  If you are interested, get in touch info@dkjsupportservices.co.uk Michael Boland Claire Harrison #primarycarenetworks #generalpractice #patientoutcomes

The healthcare system is shifting from fee-for-service to a value-driven and evidence-based service model. In this model, improved patient experience and care quality are paramount. To achieve this, patient health data plays a crucial role. For a health setting, it is important to capture all the health data points and aggregate all data sets into a big data algorithm. The potential of big data in healthcare is huge. It can predict epidemics, prevent diseases, population health management, care cost reduction and more. The big data in healthcare is so much more than we project. Don't you agree? What more can big data offer to the healthcare industry? Brett Kirkham, FACHE Ilicia Allen Carol Tegas Travis LeFever

The healthcare industry is increasingly reliant on advanced data analytics in the digital age. The ability to analyze vast and diverse datasets, from patient records to population health statistics, is transforming healthcare delivery. Talha Jafar highlights that Big Data Analytics is pivotal in enhancing population health management. This blog explores how Big Data applications in healthcare streamline the management process, ensuring accurate insights and improving patient care at a population level. Read the full blog here: https://bit.ly/4eKxFs5 #DigitalHealth #HealthTech #HealthcareInnovation #PopulationHealth #BigDataAnalytics #AIinHealthcare #HealthIT #PatientCare #MedicalData #HealthcareAutomation #HealthInformatics #FutureOfHealthcare #DataDrivenHealthcare #HealthcareEfficiency

🌟 Excited to share insights on leveraging data analysis for public health improvement! 🌍💡 In today's rapidly evolving world, harnessing the power of data analysis is crucial in advancing public health initiatives. Here are some ways data analysis can drive positive change: 1️⃣ **Identifying Health Trends**: By analyzing vast amounts of health data, we can pinpoint emerging health trends, disease outbreaks, and population health disparities. This enables proactive interventions and resource allocation. 2️⃣ Precision Medicine: Data analysis allows us to personalize healthcare interventions based on individuals' genetic makeup, lifestyle, and environmental factors. This tailored approach enhances treatment effectiveness and patient outcomes. 3️⃣ Predictive Modeling: Utilizing predictive analytics helps forecast disease spread, anticipate healthcare needs, and allocate resources accordingly. This proactive approach is essential in managing public health crises and epidemics. 4️⃣ Targeted Interventions: Data analysis enables the identification of high-risk populations, allowing for targeted interventions such as vaccination campaigns, screenings, and health education programs. 5️⃣ Evaluating Intervention Efficacy: Through rigorous data analysis, we can assess the impact of public health interventions in real-time. This feedback loop informs decision-making and ensures continuous improvement. I am committed to leveraging data analysis to drive positive change. By harnessing the power of data, we aim to create healthier communities and improve quality of life worldwide. Let's collaborate to turn data into actionable insights for a healthier future! 💪📊 #PublicHealth #DataAnalysis #HealthcareInnovation #DataDrivenDecisions

One of the biggest burdens for data analytics teams in primary healthcare is the integration of data from different source systems. The reality is that health systems, and the data systems that accompany them, are complex and fragile to build and maintain. This makes analytics time-consuming, expensive and difficult. Medicly evolved from these frustrations and the risks that come with them. We remove the challenges of accessing primary care data for analytics, so your data teams can build informative dashboards in minutes and get you the valuable population health insights you need to drive improvements in the health system. Chat to us today about how we can help you. https://www.medicly.co.nz/ #Medicly #PopulationHealth #NewZealand #DataSharing #DataExchange #HealthDataManagement #HealthInformation

This delves into the practical benefits of automation and analytics in healthcare, focusing on their impact on population health. The piece discusses how these technologies are used to optimize clinician workflows and generate actionable insights. It suggests that AI is often overhyped, while automation and analytics offer tangible value to health plans by helping prioritize care effectively. https://lnkd.in/g5fxCi6V

Unlocking Insights from Textual Data: A Deep Dive into Patient Flow 🔍 Our latest visualization underscores the power of textual data analysis in the healthcare sector. By meticulously examining patient flow among different age groups, we've gained invaluable insights that are transforming our approach to care delivery. 📈 The Sankey diagram vividly illustrates how patients transition between care groups (C1, C2, etc.), with each strand representing the volume of patients moving through the system. This isn't just a collection of numbers; it's a story about #patientjourneys, treatment effectiveness, and healthcare demand forecasting. 🧮 The accompanying tables provide a granular view of the health status (Ime Zdravila), the number of individuals (Število oseb), and the Average Treatment Complexity (ATC) across age cohorts. We can see the flow of new and existing patients and the ratio of treatments to the patient population—a crucial indicator of resource allocation. 👀 This kind of analysis is a game-changer. It allows us to: - Identify trends and patterns in patient care. - Predict future healthcare needs. - Allocate resources more effectively. - Personalize treatment plans for different demographic groups. #HealthcareAnalytics #DataVisualization #PatientCare #BigData #Innovation

Up to 80% of health outcomes are driven by social and economic factors. Yet, life sciences teams face significant challenges in accessing essential social drivers of health (SDOH) data and analytics for decision-making. SDOH Market Insights delivers access to robust analytic visualizations featuring 50+ distinct types of SDOH data across the U.S to power strategic decision-making. Our SaaS solution enables life sciences teams to enhance customer engagement, broaden patient access, and boost therapy adherence, all while advancing health equity. Discover how SDOH Market Insights improves health outcomes by zeroing in on populations with the greatest needs: https://ow.ly/vSxS50Rv1fK #SDOH #HealthEquity #PatientPopulations