Predictive analytics is the forecasting of future events (based on historical facts) with the help of several techniques like data mining, statistics, artificial intelligence, etc. Predictive data analytics is an area of statistics that extracts information from data and uses it to predict several trends and behavior patterns. It helps in estimating the future events of a business process. Data mining and predictive analytics reveal secrets present within big data.
Know anyone building innovative solutions that belong in this 'Predictive Analytics'?
Join the 4th Edition of Global Conference on Addiction Medicine, Behavioral Health and Psychiatry (GAB 2023) hosted by Magnus Group from October 19-21, 2023, in Boston, Massachusetts, USA or attend virtually from your workspace. The Psychiatry Conferences theme for this year is “Vision for Controlling Narcotic Dependency and Relapse,” and it will bring together experts from around the world to discuss current research findings and advancements in Addiction Medicine, Behavioural Health, and Psychiatry.
The Addiction Medicine Conference 2023 aims to enhance participants' practical skills and knowledge to better support individuals with mental health and addiction concerns. Behavioral Health Conference will feature keynote speakers, plenary talks, symposiums, poster and oral presentations by renowned academicians, researchers, and scientists from the industry. Attendees can expect to learn about the latest trends, advancements, and innovations in the field of Addiction Medicine, Behavioral Health, and Psychiatry.
This interdisciplinary addiction conference will provide opportunities to network with peers, healthcare professionals, educators, and policymakers from different regions of the world, fostering collaboration and new partnerships. By participating in this Psychiatry Conference 2023, attendees can gain valuable insights, learn about emerging technologies, and help shape the future of Addiction Medicine, Behavioral Health, and Psychiatry. Register today to attend GAB 2023 and broaden your knowledge and skills in the field of mental health and addiction treatment. Read on magnusgroup.org
Want to expand your network and learn more about the latest trends in the healthcare industry? Wait no more! Health 2.0 Conference is coming to the USA on July 10-12, 2023 at the Caesars Forum, Las Vegas, USA with a multitude of learning, networking, and sponsorship opportunities Be a part of insightful discussions and debates highlighting the innovations and disruptions in MedTech, case reviews, new approaches to boosting patient outcomes, developments in pharma, biotech, wellness, prevailing fraud and scam offenses, along with preventive measures to combat these spammers. You can meet the global thought leaders of the sector while exhibiting your solutions and boosting your brand awareness at this health conference.
The Predictive Analytics World for Healthcare program will feature sessions and case studies across Healthcare Business Operations and Clinical applications so you can witness how data science and machine learning are employed at leading enterprises and resulting in improved outcomes, lower costs, and higher patient satisfaction. Read more about the scope of PAW Healthcare. As part of Machine Learning Week, PAW Healthcare will be held alongside PAW Business, PAW Financial, PAW Industry 4.0, PAW Climate and Deep Learning World.
OUR MISSION is to grow, advance, and continue education in the area of vascular and interventional radiology and to promote professional growth and resources for AVIR members throughout the medical community.
The AVIR is comprised of department managers, chief technologists, directors and administrators as well as interventional radiographers and nurses. These personnel are often key decision-makers in determining hospital/vendor contracts, budget planning and inventory management, thus making the AVIR a prime target audience for marketing and advertising.
Judging by the success of digital channels in maintaining contact with patients and enabling clinicians to collaborate during the pandemic, together with the importance of data in optimizing resource …
The Predictive Analytics World for Healthcare program will feature sessions and case studies across Healthcare Business Operations and Clinical applications so you can witness how data science and machine learning are employed at leading enterprises and resulting in improved outcomes, lower costs, and higher patient satisfaction.
raditional methods of streamlining patient flow through lean process events, dashboards, bed meetings based on retrospective data and excessive provider alerts - while filled with good intention - are often not sustainable, nor do they solve the actual challenges with managing inpatient bed capacity. Streamlining patient flow requires 24/7 front-line and system-wide visibility into real-time data. Leveraging this information empowers frontline staff and providers to make impactful decisions in real-time with greater confidence and delivers some significant results.
This presentation will discuss how the delivery of actionable information through the use of predictive and prescriptive analytics will enable your front-line and leadership teams to efficiently:
Predict discharges and admissions by unit by time of day
Uncover admission bottlenecks by service and level of care
Even after significant EHR investment, it is imperative to invest in predictive/prescriptive operational management and analytics tools particularly in the operating room.
Join this session as Matt Ruby, Business Operations Director Surgical Services at Northwestern Memorial Hospital, shares how Northwestern is leveraging predictive and prescriptive analytic tools and adopted a culture of data transparency to achieve positive results and increased ROI.
In many healthcare organizations, the experience of managing through COVID-19 uncertainty has been a catalyst to reevaluate current planning tools and processes to improve planning efficiency and agility. In this session, we’ll highlight the planning trends that have emerged in our industry and examine what modern planning looks like in industries outside of healthcare to project what our future might look like.
A part of this forward-looking session will also explore how data science is evolving and becoming more integrated into planning tools and processes through machine learning and more predictive analytics.
As the world begins to emerge from the first global pandemic in over 100 years which has exposed the vulnerabilities of the global healthcare system, it has never been more critical to develop AI enabled and connected devices. Developing essential systems that sense, process, store, mine and analyze will pave the way for the next generation of secure, smart healthcare. This conference track will provide the latest developments in tool sets and best practices for applying big data analytics with machine learning to achieve seamless integration for the IoT of healthcare.
The analytics pathway is often described as moving upward in complexity from descriptive to diagnostic to predictive to prescriptive, with each step adding more complexity and business value. For health systems, it starts with building a team with the right mix of expertise, including data architects, operational champions, and subject matter experts. Panelists will discuss lessons learned creating the infrastructure to develop and deploy predictive analytics solutions in both clinical and business settings.
Delayed care leads to poorer outcomes and higher healthcare costs. Understanding when patients seek care and promoting early intervention can enable physician success. Providers must transition away from episodic care towards prevention, but doing so requires data analytic technologies that enable population health.
The Predictive Analytics Summit hosted by HealthITAnalytics will examine how technology can enable data-driven interventions that promote population health. Artificial intelligence, big data, and predictive analytics all play a role in helping providers close care gaps and improve clinical outcomes.
With healthcare predictive analytics from Avantas, the schedule needs forecasts start 120 days in advance of the shift. These forecasts of how many and what types of staff youll need (and where youll …
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