Presentation at UP Manila faculty conference, "Empowering Our Own: Cultivating Academic Leadership Among UP Manila Junior Faculty." 12 April 2023, Taal Vista Hotel, Tagaytay City.
Plenary presentation at the first EHR Summit of the UP Manila Medical Informatics Unit and the Philippine Medical Informatics Society, 10 Nov 2019. Philippine Heart Center.
A brief presentation outlining the concepts of data quality in the context of clinical data, and highlighting the importance of data quality for population health, health analytics, and other secondary uses of clinical data.
Plenary presentation at the first EHR Summit of the UP Manila Medical Informatics Unit and the Philippine Medical Informatics Society, 10 Nov 2019. Philippine Heart Center.
A brief presentation outlining the concepts of data quality in the context of clinical data, and highlighting the importance of data quality for population health, health analytics, and other secondary uses of clinical data.
How to Evaluate Emerging Healthcare Technology with Innovative AnalyticsHealth Catalyst
As healthcare systems are pressured to cut costs and still provide high-quality care, they will need to look across the care continuum for answers, reduce variation in care, and look to emerging technologies. This article walks through how to evaluate the safety and effectiveness and of emerging healthcare technology and prioritize high-impact improvement projects using a robust data analytics platform. Topics covered include:
The importance of identifying variation in innovation.
Ways to improve outcomes and decrease costs.
The value of an analytics platform.
The reliable information that produce sparks for innovation.
Identifying and evaluating emerging healthcare technology.
Knowing what data to use.
The difference between efficacy and effectiveness in evaluation of emerging healthcare technology.
Presentations from the patient safety conference held at Teesside University on 1 and 2 September 2014 - Students at the forefront of continuing and improving our culture of safe care
Healthcare organizations have worked hard to improve patient safety over the past several decades, however harm is still occurring at an unacceptable rate. Though the healthcare industry has made efforts (largely regulatory) to reduce patient harm, these measures are often not integrated with health system quality improvement efforts and may not result in fewer adverse events. This is largely because they fail to integrate regulatory data with improvement initiatives and, thus, to turn patient harm information into actionable insight.
Fully integrated clinical, cost, and operational data coupled with predictive analytics and machine learning are crucial to patient safety improvement. Tools that leverage this methodology will identify risk and suggest interventions across the continuum of care.
This course deals with the basic concepts, principles and dimensions of quality health care, patient safety, quality standards for Health Provider Organizations and implementing a quality improvement program in the health care system. It provides students with an introduction to quality improvement science in a health care setting. The course challenges students to think in an interdisciplinary manner when problem solving for quality improvement and will provide students with models and tools for leading quality improvement initiatives in a variety of organizational settings.
This is basics of SBCC- Theories of behavior change and health communication. This has been developed using presentations and study materials I received as a student. This also include definitions and charts/models used in other presentations already available in the web and not my original work.
Presentation of Vishal Gulati (Draper Esprit, Venture Partner; Horizon Discovery Group PLC, Board Director) at the Forum of the BioRegion of Catalonia, organized by Biocat.
Essential Packages of Health Services: A Landscape Analysis in 24 EPCMD Count...HFG Project
In an effort to better understand what the EPHS are and what they are being used for in the EPCMD countries, USAID requested that HFG conduct an analysis to provide a “snapshot” for each of the priority countries. The activity results enable quick identification of the EPHS for the studied countries, allowing practitioners to identify cross-cutting themes, identify gaps, and better understand practical application of EPHS.
A Guide to Applying Quality improvement to Healthcare Five PrinciplesHealth Catalyst
Healthcare is an art and a science. What many in the industry don’t understand is that systems and processes can coexist with personalized care. Quality improvement methods can be as effective in healthcare as they have been in other industries (e.g., agriculture, manufacturing, etc.).
Quality improvement in healthcare is not just achievable, it’s an absolute necessity given the amount of wasteful spending in the U.S. on healthcare. Organizations can reduce this wasteful spending while improving their processes by applying these five guiding principles:
Facilitate adoption through hands-on improvement projects.
Define quality and get agreement.
Measure for improvement, not accountability.
Use a quality improvement framework and PDSA cycles.
Learn from variation in data.
By using these principles and starting small, organizations can quicken the pace of quality improvement in healthcare.
This webinar will focus on the technical and practical aspects of creating and deploying predictive analytics. We have seen an emerging need for predictive analytics across clinical, operational, and financial domains. One pitfall we’ve seen with predictive analytics is that while many people with access to free tools can develop predictive models, many organizations fail to provide a sufficient infrastructure in which the models are deployed in a consistent, reliable way and truly embedded into the analytics environment. We will survey techniques that are used to get better predictions at scale. This webinar won’t be an intense mathematical treatment of the latest predictive algorithms, but will rather be a guide for organizations that want to embed predictive analytics into their technical and operational workflows.
Topics will include:
Reducing the time it takes to develop a model
Automating model training and retraining
Feature engineering
Deploying the model in the analytics environment
Deploying the model in the clinical environment
How to Evaluate Emerging Healthcare Technology with Innovative AnalyticsHealth Catalyst
As healthcare systems are pressured to cut costs and still provide high-quality care, they will need to look across the care continuum for answers, reduce variation in care, and look to emerging technologies. This article walks through how to evaluate the safety and effectiveness and of emerging healthcare technology and prioritize high-impact improvement projects using a robust data analytics platform. Topics covered include:
The importance of identifying variation in innovation.
Ways to improve outcomes and decrease costs.
The value of an analytics platform.
The reliable information that produce sparks for innovation.
Identifying and evaluating emerging healthcare technology.
Knowing what data to use.
The difference between efficacy and effectiveness in evaluation of emerging healthcare technology.
Presentations from the patient safety conference held at Teesside University on 1 and 2 September 2014 - Students at the forefront of continuing and improving our culture of safe care
Healthcare organizations have worked hard to improve patient safety over the past several decades, however harm is still occurring at an unacceptable rate. Though the healthcare industry has made efforts (largely regulatory) to reduce patient harm, these measures are often not integrated with health system quality improvement efforts and may not result in fewer adverse events. This is largely because they fail to integrate regulatory data with improvement initiatives and, thus, to turn patient harm information into actionable insight.
Fully integrated clinical, cost, and operational data coupled with predictive analytics and machine learning are crucial to patient safety improvement. Tools that leverage this methodology will identify risk and suggest interventions across the continuum of care.
This course deals with the basic concepts, principles and dimensions of quality health care, patient safety, quality standards for Health Provider Organizations and implementing a quality improvement program in the health care system. It provides students with an introduction to quality improvement science in a health care setting. The course challenges students to think in an interdisciplinary manner when problem solving for quality improvement and will provide students with models and tools for leading quality improvement initiatives in a variety of organizational settings.
This is basics of SBCC- Theories of behavior change and health communication. This has been developed using presentations and study materials I received as a student. This also include definitions and charts/models used in other presentations already available in the web and not my original work.
Presentation of Vishal Gulati (Draper Esprit, Venture Partner; Horizon Discovery Group PLC, Board Director) at the Forum of the BioRegion of Catalonia, organized by Biocat.
Essential Packages of Health Services: A Landscape Analysis in 24 EPCMD Count...HFG Project
In an effort to better understand what the EPHS are and what they are being used for in the EPCMD countries, USAID requested that HFG conduct an analysis to provide a “snapshot” for each of the priority countries. The activity results enable quick identification of the EPHS for the studied countries, allowing practitioners to identify cross-cutting themes, identify gaps, and better understand practical application of EPHS.
A Guide to Applying Quality improvement to Healthcare Five PrinciplesHealth Catalyst
Healthcare is an art and a science. What many in the industry don’t understand is that systems and processes can coexist with personalized care. Quality improvement methods can be as effective in healthcare as they have been in other industries (e.g., agriculture, manufacturing, etc.).
Quality improvement in healthcare is not just achievable, it’s an absolute necessity given the amount of wasteful spending in the U.S. on healthcare. Organizations can reduce this wasteful spending while improving their processes by applying these five guiding principles:
Facilitate adoption through hands-on improvement projects.
Define quality and get agreement.
Measure for improvement, not accountability.
Use a quality improvement framework and PDSA cycles.
Learn from variation in data.
By using these principles and starting small, organizations can quicken the pace of quality improvement in healthcare.
This webinar will focus on the technical and practical aspects of creating and deploying predictive analytics. We have seen an emerging need for predictive analytics across clinical, operational, and financial domains. One pitfall we’ve seen with predictive analytics is that while many people with access to free tools can develop predictive models, many organizations fail to provide a sufficient infrastructure in which the models are deployed in a consistent, reliable way and truly embedded into the analytics environment. We will survey techniques that are used to get better predictions at scale. This webinar won’t be an intense mathematical treatment of the latest predictive algorithms, but will rather be a guide for organizations that want to embed predictive analytics into their technical and operational workflows.
Topics will include:
Reducing the time it takes to develop a model
Automating model training and retraining
Feature engineering
Deploying the model in the analytics environment
Deploying the model in the clinical environment
Presentation at the annual scientific conference of the DOST-National Research Council of the Philippines, 12 Mar 2024. Philippine International Convention Center, Manila.
Artificial Intelligence: Ethical Issues in Residency TrainingIris Thiele Isip-Tan
Symposium presentation at the annual convention of the Philippine Academy of Family Physicians, 8 March 2024. Philippine International Convention Center.
Safalta Digital marketing institute in Noida, provide complete applications that encompass a huge range of virtual advertising and marketing additives, which includes search engine optimization, virtual communication advertising, pay-per-click on marketing, content material advertising, internet analytics, and greater. These university courses are designed for students who possess a comprehensive understanding of virtual marketing strategies and attributes.Safalta Digital Marketing Institute in Noida is a first choice for young individuals or students who are looking to start their careers in the field of digital advertising. The institute gives specialized courses designed and certification.
for beginners, providing thorough training in areas such as SEO, digital communication marketing, and PPC training in Noida. After finishing the program, students receive the certifications recognised by top different universitie, setting a strong foundation for a successful career in digital marketing.
Biological screening of herbal drugs: Introduction and Need for
Phyto-Pharmacological Screening, New Strategies for evaluating
Natural Products, In vitro evaluation techniques for Antioxidants, Antimicrobial and Anticancer drugs. In vivo evaluation techniques
for Anti-inflammatory, Antiulcer, Anticancer, Wound healing, Antidiabetic, Hepatoprotective, Cardio protective, Diuretics and
Antifertility, Toxicity studies as per OECD guidelines
Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
Unit 8 - Information and Communication Technology (Paper I).pdfThiyagu K
This slides describes the basic concepts of ICT, basics of Email, Emerging Technology and Digital Initiatives in Education. This presentations aligns with the UGC Paper I syllabus.
Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
Introduction to AI for Nonprofits with Tapp NetworkTechSoup
Dive into the world of AI! Experts Jon Hill and Tareq Monaur will guide you through AI's role in enhancing nonprofit websites and basic marketing strategies, making it easy to understand and apply.
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdfTechSoup
In this webinar you will learn how your organization can access TechSoup's wide variety of product discount and donation programs. From hardware to software, we'll give you a tour of the tools available to help your nonprofit with productivity, collaboration, financial management, donor tracking, security, and more.
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
The French Revolution, which began in 1789, was a period of radical social and political upheaval in France. It marked the decline of absolute monarchies, the rise of secular and democratic republics, and the eventual rise of Napoleon Bonaparte. This revolutionary period is crucial in understanding the transition from feudalism to modernity in Europe.
For more information, visit-www.vavaclasses.com
14. Daley, B. J. & Torre, D. M. (2010). Concept maps in medical education: an analytical literature review. Medical education, 44(5), 440–448.
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27. Guckian, J., Sridhar, A., & Meggitt, S. J. (2020). Exploring the perspectives of dermatology undergraduates with an escape room game. Clinical and experimental dermatology, 45(2), 153–158. https://doi.org/10.1111/ced.14039
28. Guckian, J., Sridhar, A., & Meggitt, S. J. (2020). Exploring the perspectives
of dermatology undergraduates with an escape room game. Clinical and
experimental dermatology, 45(2), 153–158.