The sixth presentation delivered at the 'Big Data in health and care: using data to gain new insights’ event, hosted by Wessex Academic Health Science Network (AHSN) on 19 April 2015.
The first presentation delivered at the 'Big Data in health and care: using data to gain new insights’ event, hosted by Wessex Academic Health Science Network (AHSN) on 19 April 2015.
The third presentation delivered at the 'Big Data in health and care: using data to gain new insights’ event, hosted by Wessex Academic Health Science Network (AHSN) on 19 April 2015.
The seventh presentation delivered at the 'Big Data in health and care: using data to gain new insights’ event, hosted by Wessex Academic Health Science Network (AHSN) on 19 April 2015.
The ninth and final presentation delivered at the 'Big Data in health and care: using data to gain new insights’ event, hosted by Wessex Academic Health Science Network (AHSN) on 19 April 2015.
Driving Healthcare Operations with Data ScienceSandy Ryza
The document discusses using data science to drive healthcare operations. It describes using models to close gaps in patient care by predicting which diabetic patients will develop complications in the next 6 months based on demographic data, medical history, medications and lab tests. The challenges are class imbalance, with few patients historically developing complications, and missing lab data. Gradient boosting decision trees are able to handle these issues better than logistic regression. Testing shows the model can identify high-risk patients to call with a 24% precision and 66% recall. A trial using the model to select patients for home visits found more complications than random selection, showing the approach can improve outcomes.
A brief tour of why we focused on building out a data warehouse early on at Clover, and why we think the Data Science function has room to grow in health insurance.
1. The document discusses evaluating the impact of analytics on data quality at the NT Community Health organization.
2. It describes issues with Community Health's current information systems including disparate databases, a lack of data integration and documentation, and outdated data.
3. The document evaluates different analytics tools and their ability to help transform data into useful business insights to address Community Health's data quality and integration challenges.
The first presentation delivered at the 'Big Data in health and care: using data to gain new insights’ event, hosted by Wessex Academic Health Science Network (AHSN) on 19 April 2015.
The third presentation delivered at the 'Big Data in health and care: using data to gain new insights’ event, hosted by Wessex Academic Health Science Network (AHSN) on 19 April 2015.
The seventh presentation delivered at the 'Big Data in health and care: using data to gain new insights’ event, hosted by Wessex Academic Health Science Network (AHSN) on 19 April 2015.
The ninth and final presentation delivered at the 'Big Data in health and care: using data to gain new insights’ event, hosted by Wessex Academic Health Science Network (AHSN) on 19 April 2015.
Driving Healthcare Operations with Data ScienceSandy Ryza
The document discusses using data science to drive healthcare operations. It describes using models to close gaps in patient care by predicting which diabetic patients will develop complications in the next 6 months based on demographic data, medical history, medications and lab tests. The challenges are class imbalance, with few patients historically developing complications, and missing lab data. Gradient boosting decision trees are able to handle these issues better than logistic regression. Testing shows the model can identify high-risk patients to call with a 24% precision and 66% recall. A trial using the model to select patients for home visits found more complications than random selection, showing the approach can improve outcomes.
A brief tour of why we focused on building out a data warehouse early on at Clover, and why we think the Data Science function has room to grow in health insurance.
1. The document discusses evaluating the impact of analytics on data quality at the NT Community Health organization.
2. It describes issues with Community Health's current information systems including disparate databases, a lack of data integration and documentation, and outdated data.
3. The document evaluates different analytics tools and their ability to help transform data into useful business insights to address Community Health's data quality and integration challenges.
This presentation is about basics of Big data Analytics along with Characteristics,Challenges,Structures,Differences between Traditional and Big data,How Big data is getting benefited in Healthcare Industry,Big data in Real time
David Cocker big data MDCPartners ta-scanDavid Cocker
The document discusses leveraging data from various sources to gain insights and make better decisions. It mentions collecting 14 billion page views of data in 2016 from 2.6 million visitors and integrating both public and private clinical trial data from pharmaceutical companies. The goal is to clean noisy data, reduce complexity, and seamlessly integrate multiple data sources to develop more efficient healthcare and demonstrate value through personalized medicine.
Big data solutions are enabling healthcare providers to transform into more patient-centered, collaborative care models driven by analytics. As basic needs are met and advanced applications emerge, new use cases will arise from sources like wearable devices and sensors. Predictive analytics using big data can help fill gaps by predicting things like missed appointments, noncompliance, and patient trajectories in order to proactively manage care. However, barriers to using big data include a lack of expertise and the fact that big data has a different structure and is more unstructured than traditional databases.
The document discusses using big data and Hadoop in healthcare. It outlines challenges in healthcare like a lack of continuous observation and data storage. Hadoop can help address this by making large amounts of healthcare data less expensive and more available. This would allow doctors more insight into patient conditions. The Internet of Things is also discussed where devices can collect patient readings and send them to remote hospitals. The presentation concludes with a demo of Hadoop used with a healthcare dataset.
Delivering Analytic Insights from the Warehouse to the Front Lines: Your Most...Health Catalyst
Over 8 petabytes of data are collected at each health system, but physicians lack time to analyze and use this data. While more tools and data access have been provided, physicians still spend most of their day on EHR tasks instead of direct patient care. To improve this, insights from data should be integrated into the existing EHR workflow and focused on the most valuable outcomes for each organization. Standardizing analytic rules and reusing existing insights can streamline the process of generating and implementing alerts and interventions.
The document discusses Oracle Healthcare Foundation, which provides a scalable and productized solution for healthcare analytics and big data. It aggregates and integrates data from disparate systems to create a single source of truth and enables clinical, predictive, and financial analytics. This comprehensive platform aims to maximize efficiencies, support the continuum of care, and empower decision-making through data-driven insights.
HHS agencies have compiled endless amounts of data that, however abundant, often fails to connect complete information. Through the use of Data Lakes, Healthcare agencies across the world are connecting disparate data sets, connecting information and drawing new insights from years of data. Main Speaking topics: • Analytics for informed decision making • Unlocking data Silos • Bring storage, speed, and logic to your data repository Takeaways:
1. Why HHS organizations are adopting data lakes to meet their analytical needs
2. How HHS organizations can use data lakes to develop a single view of their beneficiaries
3. How to get started with HHS analytics on HHS
The document discusses the need for a National Alliance of Regional Data Aggregators (NARDA) to overcome healthcare data fragmentation and improve interoperability. It proposes that NARDA would establish regional data aggregators to store, analyze, and share big healthcare data between organizations. This would benefit providers, health departments, insurers, and patients by improving quality of care, monitoring health trends, evaluating costs and quality, and enabling predictive analytics. However, significant challenges remain such as the lack of data standardization between existing electronic health record systems, the proprietary nature of health IT vendors, and the difficulty integrating different infrastructure and applications.
Big Data Analytics for Healthcare Decision Support- Operational and ClinicalAdrish Sannyasi
This document discusses using big data analytics for operational and clinical decision support in healthcare. It outlines how analytics can help optimize decisions for patients, administrators, providers and policy makers by analyzing structured and unstructured data from various sources. The document proposes creating an operational decision support center and clinical decision support center to help coordinate patient care, anticipate needs, detect bottlenecks and support clinical decisions with data-driven insights. The goal is to move from rule-based systems to more precise, predictive and transparent decision making approaches.
This presentation looks at the role of Big Data with Healthcare. Healthcare is big spending area for both the private and public sector as such it is important to look at ways to improve the delivery of healthcare to patient care.
This document discusses how Microsoft platforms can help digitize and optimize clinical workflows in healthcare. It outlines Microsoft's perspective of enabling personalized care, empowering care teams, protecting health information, and improving operational outcomes. The document then provides examples of how Teams can be used as an engagement hub to create role-tailored digital workflows for different clinical roles like nursing, physicians, and administration. It also discusses challenges healthcare providers face from rising costs, aging populations, and increasing chronic conditions.
Outlines Watson accomplishments in 2012 and new products announced in early 2013. THIS DOCUMENT IS PROVIDED FOR REFERENCE PURPOSES ONLY. IBM RESERVES THE RIGHTS TO MAKE CHANGES TO THIS EVOLVING PORTFOLIO.
Big data is generating hype in healthcare, but true value will come as technical expertise and security improve. While most healthcare organizations currently have limited big data use beyond basic analytics, needs will grow as data sources expand through devices and the "internet of things". Predictive analytics using socioeconomic and other data could help predict patient outcomes and appointments. Prescriptive analytics may eventually provide personalized treatment paths for patients. Drug discovery may also be enhanced through big data. However, barriers like a lack of skills and integrated security currently limit big data to research applications.
This document outlines an analysis of health insurance rate data from Healthcare.gov to identify key factors that influence individual rates. The analysis included downloading nationwide data from Healthcare.gov, selecting Delaware data, cleaning the data, and performing various analyses including decision trees, partial least squares, and neural networks. The analysis found that age, insurance plan version number (whether a plan was marked up or down), and insurance issuer were the most significant factors in determining individual health insurance rates in Delaware.
While Healthcare 1.0 was broadly defined by a focus on defensive medicine, billing, and fee-for-service, culminating in the mass adoption of EMRs, Healthcare 2.0 is a new wave focused on improving clinical efficiency, quality of care, affordability, and fee-for-value; culminating in a new age of healthcare analytics. This new age of analytics will require a new set of organizational skills and a foundational set of analytic information systems that many executives have not anticipated.
Join Dale Sanders, a 20-year healthcare CIO veteran and the industry's leading analytics expert, as he discusses his lessons learned, best practices in analytics, and what the C-level suite needs to know about this topic, now. Listen to Dale discuss 1) A step-by-step curriculum for analytic adoption and maturity in healthcare organizations, 2) the basic approach to a late-binding data warehouse, 3) pros and cons of early versus late binding, 4) the volatility in vocabulary and business rules in healthcare, 5) how to engineer your data to accommodate volatility in the future
Libraries face difficult decisions when renewing journal subscriptions. Typically, they rely on metrics like usage and price, but this only tells part of the story. Decision Metrics 2.0 provides a more comprehensive view by gathering additional data on journals, including how much the institution's authors publish and cite each journal, and what proportion is already open access. This enriched data is mapped and linked to research output to connect acquisitions to institutional research. It provides pricing, usage, publication, and citation data in one place to enable better analysis of cancellations and alternative subscription scenarios. The aim is to offer libraries improved decision support when evaluating subscriptions.
Seattle code camp 2016 - Role of Data Science in HealthcareGaurav Garg
Everyone loves to shake a stick at the healthcare industry for being backward. Fact is there is no lack of technology or data in healthcare.
Biggest challenge for healthcare providers is to identify what questions to ask the data. My team has implemented over 75 enterprise data warehouse projects in US healthcare industry. At the annual Seattle Code Camp, we discussed some of the examples of how data is used in the healthcare industry for compliance reporting (BI) and predictive analytics.
These slides are from Seattle Code Camp 2016, shares technologies, concepts and ideas for data science in the US healthcare industry.
Самые знаковые события в мире SMM в 2015 году. Подводим итоги.Фабрика Диалогов
Чем ближе окончание года, тем активнее подводятся итоги года минувшего. А в SMM-индустрии год выдался насыщенным. Соцсети порадовали пользователей новыми сервисами, рекламными возможностями и качественными улучшениями дизайна. Фабрика Диалогов собрала все самые важные события в мире SMM в 2015 году.
Подробную статью читайте в нашем блоге:
http://fabrikadialogov.ru/samie-vajnie-sobitiya-v-mire-smm-2015/
This document discusses the four main types of input circuits used in alarm systems: normally open, normally closed, end of line resistor, and multiplexed. Normally open circuits have no verification that the wiring is intact. Normally closed circuits allow the panel to see a constant electricity flow. End of line resistor circuits have a resistor at the furthest point to verify the circuit is intact. Multiplexed circuits are the most secure but expensive, with each sensor transmitting signals to the panel.
This presentation is about basics of Big data Analytics along with Characteristics,Challenges,Structures,Differences between Traditional and Big data,How Big data is getting benefited in Healthcare Industry,Big data in Real time
David Cocker big data MDCPartners ta-scanDavid Cocker
The document discusses leveraging data from various sources to gain insights and make better decisions. It mentions collecting 14 billion page views of data in 2016 from 2.6 million visitors and integrating both public and private clinical trial data from pharmaceutical companies. The goal is to clean noisy data, reduce complexity, and seamlessly integrate multiple data sources to develop more efficient healthcare and demonstrate value through personalized medicine.
Big data solutions are enabling healthcare providers to transform into more patient-centered, collaborative care models driven by analytics. As basic needs are met and advanced applications emerge, new use cases will arise from sources like wearable devices and sensors. Predictive analytics using big data can help fill gaps by predicting things like missed appointments, noncompliance, and patient trajectories in order to proactively manage care. However, barriers to using big data include a lack of expertise and the fact that big data has a different structure and is more unstructured than traditional databases.
The document discusses using big data and Hadoop in healthcare. It outlines challenges in healthcare like a lack of continuous observation and data storage. Hadoop can help address this by making large amounts of healthcare data less expensive and more available. This would allow doctors more insight into patient conditions. The Internet of Things is also discussed where devices can collect patient readings and send them to remote hospitals. The presentation concludes with a demo of Hadoop used with a healthcare dataset.
Delivering Analytic Insights from the Warehouse to the Front Lines: Your Most...Health Catalyst
Over 8 petabytes of data are collected at each health system, but physicians lack time to analyze and use this data. While more tools and data access have been provided, physicians still spend most of their day on EHR tasks instead of direct patient care. To improve this, insights from data should be integrated into the existing EHR workflow and focused on the most valuable outcomes for each organization. Standardizing analytic rules and reusing existing insights can streamline the process of generating and implementing alerts and interventions.
The document discusses Oracle Healthcare Foundation, which provides a scalable and productized solution for healthcare analytics and big data. It aggregates and integrates data from disparate systems to create a single source of truth and enables clinical, predictive, and financial analytics. This comprehensive platform aims to maximize efficiencies, support the continuum of care, and empower decision-making through data-driven insights.
HHS agencies have compiled endless amounts of data that, however abundant, often fails to connect complete information. Through the use of Data Lakes, Healthcare agencies across the world are connecting disparate data sets, connecting information and drawing new insights from years of data. Main Speaking topics: • Analytics for informed decision making • Unlocking data Silos • Bring storage, speed, and logic to your data repository Takeaways:
1. Why HHS organizations are adopting data lakes to meet their analytical needs
2. How HHS organizations can use data lakes to develop a single view of their beneficiaries
3. How to get started with HHS analytics on HHS
The document discusses the need for a National Alliance of Regional Data Aggregators (NARDA) to overcome healthcare data fragmentation and improve interoperability. It proposes that NARDA would establish regional data aggregators to store, analyze, and share big healthcare data between organizations. This would benefit providers, health departments, insurers, and patients by improving quality of care, monitoring health trends, evaluating costs and quality, and enabling predictive analytics. However, significant challenges remain such as the lack of data standardization between existing electronic health record systems, the proprietary nature of health IT vendors, and the difficulty integrating different infrastructure and applications.
Big Data Analytics for Healthcare Decision Support- Operational and ClinicalAdrish Sannyasi
This document discusses using big data analytics for operational and clinical decision support in healthcare. It outlines how analytics can help optimize decisions for patients, administrators, providers and policy makers by analyzing structured and unstructured data from various sources. The document proposes creating an operational decision support center and clinical decision support center to help coordinate patient care, anticipate needs, detect bottlenecks and support clinical decisions with data-driven insights. The goal is to move from rule-based systems to more precise, predictive and transparent decision making approaches.
This presentation looks at the role of Big Data with Healthcare. Healthcare is big spending area for both the private and public sector as such it is important to look at ways to improve the delivery of healthcare to patient care.
This document discusses how Microsoft platforms can help digitize and optimize clinical workflows in healthcare. It outlines Microsoft's perspective of enabling personalized care, empowering care teams, protecting health information, and improving operational outcomes. The document then provides examples of how Teams can be used as an engagement hub to create role-tailored digital workflows for different clinical roles like nursing, physicians, and administration. It also discusses challenges healthcare providers face from rising costs, aging populations, and increasing chronic conditions.
Outlines Watson accomplishments in 2012 and new products announced in early 2013. THIS DOCUMENT IS PROVIDED FOR REFERENCE PURPOSES ONLY. IBM RESERVES THE RIGHTS TO MAKE CHANGES TO THIS EVOLVING PORTFOLIO.
Big data is generating hype in healthcare, but true value will come as technical expertise and security improve. While most healthcare organizations currently have limited big data use beyond basic analytics, needs will grow as data sources expand through devices and the "internet of things". Predictive analytics using socioeconomic and other data could help predict patient outcomes and appointments. Prescriptive analytics may eventually provide personalized treatment paths for patients. Drug discovery may also be enhanced through big data. However, barriers like a lack of skills and integrated security currently limit big data to research applications.
This document outlines an analysis of health insurance rate data from Healthcare.gov to identify key factors that influence individual rates. The analysis included downloading nationwide data from Healthcare.gov, selecting Delaware data, cleaning the data, and performing various analyses including decision trees, partial least squares, and neural networks. The analysis found that age, insurance plan version number (whether a plan was marked up or down), and insurance issuer were the most significant factors in determining individual health insurance rates in Delaware.
While Healthcare 1.0 was broadly defined by a focus on defensive medicine, billing, and fee-for-service, culminating in the mass adoption of EMRs, Healthcare 2.0 is a new wave focused on improving clinical efficiency, quality of care, affordability, and fee-for-value; culminating in a new age of healthcare analytics. This new age of analytics will require a new set of organizational skills and a foundational set of analytic information systems that many executives have not anticipated.
Join Dale Sanders, a 20-year healthcare CIO veteran and the industry's leading analytics expert, as he discusses his lessons learned, best practices in analytics, and what the C-level suite needs to know about this topic, now. Listen to Dale discuss 1) A step-by-step curriculum for analytic adoption and maturity in healthcare organizations, 2) the basic approach to a late-binding data warehouse, 3) pros and cons of early versus late binding, 4) the volatility in vocabulary and business rules in healthcare, 5) how to engineer your data to accommodate volatility in the future
Libraries face difficult decisions when renewing journal subscriptions. Typically, they rely on metrics like usage and price, but this only tells part of the story. Decision Metrics 2.0 provides a more comprehensive view by gathering additional data on journals, including how much the institution's authors publish and cite each journal, and what proportion is already open access. This enriched data is mapped and linked to research output to connect acquisitions to institutional research. It provides pricing, usage, publication, and citation data in one place to enable better analysis of cancellations and alternative subscription scenarios. The aim is to offer libraries improved decision support when evaluating subscriptions.
Seattle code camp 2016 - Role of Data Science in HealthcareGaurav Garg
Everyone loves to shake a stick at the healthcare industry for being backward. Fact is there is no lack of technology or data in healthcare.
Biggest challenge for healthcare providers is to identify what questions to ask the data. My team has implemented over 75 enterprise data warehouse projects in US healthcare industry. At the annual Seattle Code Camp, we discussed some of the examples of how data is used in the healthcare industry for compliance reporting (BI) and predictive analytics.
These slides are from Seattle Code Camp 2016, shares technologies, concepts and ideas for data science in the US healthcare industry.
Самые знаковые события в мире SMM в 2015 году. Подводим итоги.Фабрика Диалогов
Чем ближе окончание года, тем активнее подводятся итоги года минувшего. А в SMM-индустрии год выдался насыщенным. Соцсети порадовали пользователей новыми сервисами, рекламными возможностями и качественными улучшениями дизайна. Фабрика Диалогов собрала все самые важные события в мире SMM в 2015 году.
Подробную статью читайте в нашем блоге:
http://fabrikadialogov.ru/samie-vajnie-sobitiya-v-mire-smm-2015/
This document discusses the four main types of input circuits used in alarm systems: normally open, normally closed, end of line resistor, and multiplexed. Normally open circuits have no verification that the wiring is intact. Normally closed circuits allow the panel to see a constant electricity flow. End of line resistor circuits have a resistor at the furthest point to verify the circuit is intact. Multiplexed circuits are the most secure but expensive, with each sensor transmitting signals to the panel.
This document provides brief tips for living a healthy lifestyle, recommending that one exercises regularly, gets enough sleep, eats fruits and vegetables, and drinks enough water. Following these simple guidelines can help one feel happy and maintain overall wellness.
This very short document appears to contain only two names: Noël and Janet. It provides no other context or information, making a concise 3 sentence summary impossible given the limited content.
The document provides an overview of trends in Early Modern European Art from the 15th to 18th centuries. It discusses several major artistic movements during this period including Renaissance art, Mannerism, Baroque art, Neoclassicism, Rococo, and provides brief biographies of influential artists such as Leonardo da Vinci, Michelangelo, Rembrandt, and Johann Sebastian Bach. The document aims to indicate the rich artistic treasures produced during the Early Modern period in Europe.
The team planned a class trip to Lake Arrowhead, California. They analyzed multiple location alternatives and selected Lake Arrowhead due to its low cost of $355 per person. The team developed a detailed three-day schedule and implementation plan for transportation, activities, meals, lodging, and contingencies. They assigned responsibilities and created an evaluation survey to measure satisfaction with activities, meals, destination, team building, schedule, and hotel.
This presentation was given to the students in Summer Research Program at the Department of Supportive Care at the University Health Network. The presenter was Megan Wexler, Social Worker and the lead of the Volunteer Program, Healing Beyond Body.
Central stations that receive monitoring signals from multiple alarm companies can spread costs across companies, keeping monitoring costs lower than if serving a single company. Upon receiving an alarm, the central station dispatches authorities according to written instructions for that account. Fire alarm signals take priority and must be processed within 90 seconds of receipt. Central stations can obtain certifications for monitoring fire and burglar alarm systems up to high security grades. Backup systems and power are required to ensure no loss of signal.
This presentation was given by Arta Kabashi of AMIGOS for Day 2 of the Small Library Management Training Program's IV: Reference workshop in Spring of 2010. This presentation covers open source tools for the ref desk, ready reference sources and introduces the TexShare databases.
Bill Gates y Paul Allen observan el potencial de la computación personal en 1975 y fundan Microsoft. Aunque pequeña en sus inicios, Microsoft tiene una gran visión de futuro. Lanzan versiones iniciales de Windows entre 1982 y 1985 para hacer que las computadoras sean más fáciles de usar con ventanas y un mouse. Windows continúa evolucionando a través de las décadas con nuevas versiones que agregan características como gráficos mejorados, capacidades de red e Internet, y soporte para tabletas y pantallas táctiles.
This document provides information about an assignment for the subject Maintenance Management. It includes 6 questions related to topics like proactive maintenance, asset strategy, maintenance improvement programs, machine quality, zero based budgeting, and a case study on condition monitoring. The case study discusses the implementation of condition monitoring techniques like vibration analysis, oil analysis, thermography at a power generation company called XYZ Ltd. to improve plant maintenance and reduce maintenance costs.
This document provides information about getting solved assignments for the subject "Compensation and Benefits" for MBA Semester 4. It includes 6 questions related to job evaluation, developing an effective incentive scheme, types of managerial remuneration, pay structure objectives, criteria for rewarding employees, and notes on wage policy plans in India and voluntary retirement schemes. Students can contact the provided email or phone number to get assignments solved at Rs. 125 each.
Enabling Scalable Publish/Subscribe for Logical-Clustering in Crowdsourcing v...Hasib ur Rahman, PhD
This document summarizes Hasibur Rahman's presentation on enabling scalable publish/subscribe capabilities for logical clustering in crowdsourcing via the MediaSense platform. The presentation introduces crowdsourcing and the increasing amount of context information from IoT sources. It discusses using logical clustering and publish/subscribe to efficiently share context information in real-time. The document outlines Rahman's proposed solution to use MediaSense as a scalable distributed publish/subscribe model for sharing context IDs in logical clustering. It analyzes the performance improvements of the modified MediaSense approach compared to other methods, such as reduced processing time and increased scalability. The conclusions state that MediaSense is feasible for crowdsourcing publish/subscribe, especially
Este documento describe las características clave de una casa sustentable. Explica que una casa sustentable utiliza energía solar, pisos de bambú, y espacios abiertos. También habla sobre las edificaciones unifamiliares, la calefacción y refrigeración residencial, el uso de aguas grises, y la recolección de agua pluvial. El objetivo general es construir casas que usen recursos de manera responsable y reduzcan el impacto ambiental.
The document discusses how advanced analytics are disrupting marketing by enabling more targeted and personalized strategies. It provides an introduction to an e-book compiling essays from data analytics experts in different fields and industries about how they are applying big data analytics. The essays are grouped into five sections covering topics like how analytics are changing businesses, new technology platforms, industry examples, research applications, and marketing strategies.
Expanding the Library Walls: Finding New Ways to Identify the Impact and ROI ...Mary Ellen Bates
I look at strategic approaches library managers have taken to enhance and highlight the impact and value of the library. Presented at SLA Annual Conference 2020.
Monitoring and evaluation can provide several benefits to charities and funders. It helps to increase their impact by focusing on theories of change and effective commissioning. NPC works at the intersection of charities and funders to strengthen collaboration toward shared goals. Measuring impact is important as it raises an organization's profile, motivates staff, and influences debates on "what works". However, before collecting data, organizations should determine if the data is important and if others already collect it to avoid duplicating efforts. Both quantitative and qualitative data can be used, and measurements should be taken before and after a program or service to assess impact while considering alternative explanations.
DAMA Webinar - Big and Little Data QualityDATAVERSITY
While technological innovation brings constant change to the data landscape, many organizations still struggle with the basics: ensuring they have reliable, high quality data. In health care, the promise of insight to be gained through analytics is dependent on ensuring the interactions between providers and patients are recorded accurately and completely. While traditional health care data is dependent on person-to-person contact, new technologies are emerging that change how health care is delivered and how health care data is captured, stored, accessed and used. Using health care as a lens through which to understand the emergence of big data, this presentation will ask the audience to think about data in old and new ways in order to gain insight about how to improve the quality of data, regardless of size.
The document discusses the challenges of health care data quality and realizing the promise of big data analytics in health care. While technological innovation enables new insights from health care data, many organizations still struggle with basic data quality issues. In health care specifically, person-to-person interactions that are recorded as data can vary in quality due to factors like technology limitations, lack of standards, and the "butterfly effect" where small changes in clinical decision-making conditions can impact outcomes. To fulfill the promise of health care analytics will require recognizing variation in data, reducing unnecessary variation, and ensuring data is collected and managed as a critical product rather than a byproduct of the health system.
Data For Policy Influence: How to Manage, Distribute, and Present Your DataForum One
To make smart policy decisions on important issues – whether global, national or local – leaders and influencers need information, analysis, and insight.
If your organization is in the business of supplying that information, then you already know that Data is an essential ingredient for success. You also know that in this digital age your briefs and reports – the traditional distribution tools for your insights – are competing for attention in an extremely competitive and noisy online marketplace of ideas. Attention is scarce, and gaining attention with 20-page PDFs online is not very easy.
So how can you put your data to better use digitally to extend your influence?
In this presentation, Laura Castillo-Page of the American Association of Medical Colleges (AAMC) and Kurt Voelker of Forum One dig into real-world examples from the AAMC and others about the first steps that organizations like yours can take to better present their data.
IN THIS PRESENTATION YOU WILL LEARN how NGO’s can evolve their use of data to be more digitally native by:
• Presenting data as engaging interactive visualizations
• Distributing data in more accessible formats
• Managing data more effectively on the backend
PRESENTED BY:
Laura Castillo-Page, Ph.D.
Senior Director, Diversity and Programs and Organizational Capacity Building Portfolio
Association of American Medical Colleges (aamc.org)
Kurt Voelker
Chief Technology Officer
Forum One (forumone.com)
*These slides are from a Forum One Webinar. Check out our YouTube channel (http://youtube.com/forumonevideo) for the audio/video of this virtual event.*
This document discusses the potential for electronic data capture in community health research and development. It notes that nurses are becoming major contributors of electronically captured data, but that the data is often interpreted and used in ways removed from its original purpose. It outlines six domains where increased data transparency could impact: accountability, choice, productivity, care quality, social innovation and economic growth. However, it stresses the importance of nurses actively participating in and influencing how this data is captured, interpreted and used.
Trends From The Trenches - Consumer Data, Insights and InnovationAndrea Simon
Healthcare Innovation: Trends From The Trenches
Consumer Data, Insights and Innovation
Featured Speakers:
Andrea (Andi) Simon, PhD and President of Simon Associates Management Consultants
Linda MacCracken, VP, Truven Health Analytics and Adjunct Lecturer, Harvard School of Public Health
In the 3rd webinar, Linda MacCracken will review data analytics needed for Fee For Service and Fee for Value consumer engagement in today’s rapidly changing healthcare industry. Linda will review pressing business questions which focus on data analytics as effective, innovative ways to improve customer intimacy and enhance margin. She will share a case study and give practical tools to help you and your teams find better ways to serve your customers.
Andrea Simon PhD, webinar host, will introduce and conclude Linda's presentation with ways to tie data and information into valuable insights to help you better “see, feel and think” in new ways so you can “do” better in changing times.
Charlie Young presented at the West Midlands Informatics Network Open Evening that brought together healthcare and industry professionals interested in the development and propagation of technology and data in healthcare provision.
Denver Event - 2013 - Floodlight and Data Engine User SurveyKDMC
This document provides a summary of findings from a survey of 530 respondents representing 313 organizations regarding their use of data and storytelling. Key challenges identified included lack of time, staffing, and resources to effectively collect, analyze, and use data to tell stories. The document analyzes crosstabs of survey questions and provides recommendations for a follow up study.
Physicians are rapidly adopting social media tools such as Twitter and LinkedIn as part of their approach to keeping up to date with the latest developments in healthcare. As the use of these digital tools becomes increasingly commonplace and mobile apps gain acceptance for supporting healthcare interactions, the physician liaison team can leverage digital tools and social media to improve the efficiency and effectiveness of the delivery of information. Digital tools can serve as a pathway to providing easier and more direct access to information and tools that help to strengthen relationships with referring doctors and their practice staff.
In this paper, we present a best practices from around the country in using digital tools to connect with referring physicians. When used appropriately, digital tools can configured and applied to improve relationships, grow referral volumes, and increase the efficiency and effectiveness of your physician liaisons.
NPC believes that the effective use of evidence increases charities’ positive impact. But this potential is unrealised because good practices and systems are lacking. Here we set out what it looks like to use evidence effectively and suggest ways to achieve it.
Using Data to Improve Hospital MarketingAhava Leibtag
3 case studies prove that usability studies, content auditing and content strategy increases traffic. In one case study, we increased traffic 330% to a hospital blog by creating personas.
www.panorama.com
Panorama Necto uncovers the hidden insights in your data and presents them in beautiful dashboards powered with KPI Alerts, which is managed by a the most secure, centralized & state of the art BI solution.
How to Build a Healthcare Analytics Team and Solve Strategic ProblemsHealth Catalyst
Health systems have vast amounts of data, but frequently struggle to use that data to solve strategic problems in a timely fashion. A healthcare analytics team, made up of the right people with the right tools and skillsets, can help address these challenges. This article walks through the steps organizations need to take to put an effective analytics team in place. These include the following:
Recognizing the need for change.
Demonstrating the value of an analytics team.
Conducting a current state assessment.
Identifying solutions.
Implementing a phased approach.
Building a roadmap.
Making the pitch.
Putting the roadmap into action.
The article also includes the foundation skills to look for when putting together the team and tips on how best to organize.
n the new digital economy, we are in the midst of a third industrial revolution comparable in scale and impact to the introduction of electrification. Digital technology has the potential to improve corporate performance and reach radically, leading to demonstrably better financial performance. However, while the potential of digital is clear, how to practically deliver on a digital vision is less so. In this third Digital Transformation Review, we aim to help business leaders understand more about the managerial and change challenge that they are facing. We look at how an organization defines its digital vision, how to drive change through effective governance and a people strategy, and how to seize the opportunity offered by big data.
We also offer a fresh perspective from pioneers across the globe, looking at an Indian organization’s approach to innovation in healthcare. One company that has defined an ambitious digital vision is Pfizer. We interview Kristin Peck, executive VP of worldwide business development and innovation, and John Young, president and general manager of the primary care business unit, who share the opportunities they see in the digital space as well as their journey in transforming their organization to create more value for their customers.
How can you deliver real value with healthcare data analytics? Four things can help:
Tighten how you deliver information and insights.
Loosen the reins on who can be part of the conversation and contribute.
Create transparency into how data management and analytics works.
Paint a picture and tell a story with your insights.
...
And go do it! Don't just say you're going to do it.
Here's a selection of slides from a communications review my business, Flame Tree Media, recently completed for a local Church in Australia. You'll see it synthesises Church issues, my methodology and solution, and the media landscape. The total pack is almost 70 slides.
Hello. Every year here at Make Believe we create ‘The Hot Issue’, a review of the most common engagement challenges we’ve
worked on recently. 2015 was a bumper year of fascinating insights, ideas and inspiration so we thought we’d share!
The rate of transformation continues to accelerate creating a range of engagement challenges both internally and externally, for most clients. New product launches, brand strategy challenges and managing digital communication remain usual suspects. That
said, clients are adopting more innovative approaches
to identifying customer needs, making insights more impactful,
developing innovation and driving cultural change. We’ve summarised your BIG5 Hot Issues in this document,
we’re sure some if not all will be familiar.
Seriously Thinking series - Integrating information .pdfSirius Partners
Many people in the UK are suffering because the NHS does not integrate information well between primary care, hospitals, social care, and other services. This lack of integration means that patients, like those with dementia, may receive poor or uncoordinated care if their doctors and other providers do not have access to complete and up-to-date information. While private businesses see integrated information systems as essential, the NHS has been slow to implement them fully. There is now a recognized need to better integrate health records, budgets, and services, but this will be difficult to achieve without first improving how information is shared across the NHS.
Similar to The transformation of how we use data - Simon Beaumont (20)
The Health Innovation Network Polypharmacy Programme is working with healthcare professionals to address problematic polypharmacy by supporting easier identification of patients at potential risk from harm from multiple medications.
Our evidence-based polypharmacy Action Learning Sets (ALS) are being rolled out across England to support GPs, pharmacists and other healthcare professionals who undertake prescribing or medication reviews to understand the complex issues around stopping inappropriate medicines safely.
To drive and accelerate changes in practice, delegates complete a quality improvement project to address problematic polypharmacy in their workplace. This poster summary, Reducing opioid prescribing, can be viewed here.
For more information about the polypharmacy programme, please visit https://thehealthinnovationnetwork.co.uk/programmes/medicines/polypharmacy/
Pharmacist Interventions and Medication Reviews at Care Homes - Improving Med...Health Innovation Wessex
The Health Innovation Network Polypharmacy Programme is working with healthcare professionals to address problematic polypharmacy by supporting easier identification of patients at potential risk from harm from multiple medications.
Our evidence-based polypharmacy Action Learning Sets (ALS) are being rolled out across England to support GPs, pharmacists and other healthcare professionals who undertake prescribing or medication reviews to understand the complex issues around stopping inappropriate medicines safely.
To drive and accelerate changes in practice, delegates complete a quality improvement project to address problematic polypharmacy in their workplace. This poster summary, Pharmacist Interventions and Medication Reviews at Care Homes - Improving Medication Safety and Patient Outcomes, can be viewed here.
For more information about the polypharmacy programme, please visit https://thehealthinnovationnetwork.co.uk/programmes/medicines/polypharmacy/
The Health Innovation Network Polypharmacy Programme is working with healthcare professionals to address problematic polypharmacy by supporting easier identification of patients at potential risk from harm from multiple medications.
Our evidence-based polypharmacy Action Learning Sets (ALS) are being rolled out across England to support GPs, pharmacists and other healthcare professionals who undertake prescribing or medication reviews to understand the complex issues around stopping inappropriate medicines safely.
To drive and accelerate changes in practice, delegates complete a quality improvement project to address problematic polypharmacy in their workplace. This poster summary, SBAR Patient Engagement Tool, can be viewed here.
For more information about the polypharmacy programme, please visit https://thehealthinnovationnetwork.co.uk/programmes/medicines/polypharmacy/
The Health Innovation Network Polypharmacy Programme is working with healthcare professionals to address problematic polypharmacy by supporting easier identification of patients at potential risk from harm from multiple medications.
Our evidence-based polypharmacy Action Learning Sets (ALS) are being rolled out across England to support GPs, pharmacists and other healthcare professionals who undertake prescribing or medication reviews to understand the complex issues around stopping inappropriate medicines safely.
To drive and accelerate changes in practice, delegates complete a quality improvement project to address problematic polypharmacy in their workplace. This poster summary, Reducing medication related falls risk in patients with severe frailty, can be viewed here.
For more information about the polypharmacy programme, please visit https://thehealthinnovationnetwork.co.uk/programmes/medicines/polypharmacy/
The Health Innovation Network Polypharmacy Programme is working with healthcare professionals to address problematic polypharmacy by supporting easier identification of patients at potential risk from harm from multiple medications.
Our evidence-based polypharmacy Action Learning Sets (ALS) are being rolled out across England to support GPs, pharmacists and other healthcare professionals who undertake prescribing or medication reviews to understand the complex issues around stopping inappropriate medicines safely.
To drive and accelerate changes in practice, delegates complete a quality improvement project to address problematic polypharmacy in their workplace. This poster summary, Assessing the outcomes of structured medication reviews, can be viewed here.
For more information about the polypharmacy programme, please visit https://thehealthinnovationnetwork.co.uk/programmes/medicines/polypharmacy/
The Health Innovation Network Polypharmacy Programme is working with healthcare professionals to address problematic polypharmacy by supporting easier identification of patients at potential risk from harm from multiple medications.
Our evidence-based polypharmacy Action Learning Sets (ALS) are being rolled out across England to support GPs, pharmacists and other healthcare professionals who undertake prescribing or medication reviews to understand the complex issues around stopping inappropriate medicines safely.
To drive and accelerate changes in practice, delegates complete a quality improvement project to address problematic polypharmacy in their workplace. This poster summary, Polypharmacy SMR reviews in outpatient bone health clinics, can be viewed here.
For more information about the polypharmacy programme, please visit https://thehealthinnovationnetwork.co.uk/programmes/medicines/polypharmacy/
Polypharmacy reviews of asthma and COPD patients over 65 and 10 or more medic...Health Innovation Wessex
The Health Innovation Network Polypharmacy Programme is working with healthcare professionals to address problematic polypharmacy by supporting easier identification of patients at potential risk from harm from multiple medications.
Our evidence-based polypharmacy Action Learning Sets (ALS) are being rolled out across England to support GPs, pharmacists and other healthcare professionals who undertake prescribing or medication reviews to understand the complex issues around stopping inappropriate medicines safely.
To drive and accelerate changes in practice, delegates complete a quality improvement project to address problematic polypharmacy in their workplace. This poster summary, Polypharmacy reviews of asthma and COPD patients over 65 and 10 or more medicines, can be viewed here.
For more information about the polypharmacy programme, please visit https://thehealthinnovationnetwork.co.uk/programmes/medicines/polypharmacy/
Evaluating the impact of a specialist frailty multidisciplinary team pathway ...Health Innovation Wessex
The Health Innovation Network Polypharmacy Programme is working with healthcare professionals to address problematic polypharmacy by supporting easier identification of patients at potential risk from harm from multiple medications.
Our evidence-based polypharmacy Action Learning Sets (ALS) are being rolled out across England to support GPs, pharmacists and other healthcare professionals who undertake prescribing or medication reviews to understand the complex issues around stopping inappropriate medicines safely.
To drive and accelerate changes in practice, delegates complete a quality improvement project to address problematic polypharmacy in their workplace. This poster summary, Evaluating the impact of a specialist frailty multidisciplinary team pathway with clinical pharmacist involvement, can be viewed here.
For more information about the polypharmacy programme, please visit https://thehealthinnovationnetwork.co.uk/programmes/medicines/polypharmacy/
Genome UK – State of the nation by Professor Dame Sue Hill, Chief Scientific Officer for England and NHS Genomics Programme Senior Responsible Officer.
Pharmacogenomics into practice - stroke services and a systems approach by Dr Richard Marigold, Consultant Stroke Physician and NIHR Hyperacute Stroke Research Centre Lead, University Hospital Southampton NHS Foundation Trust
To evaluate the benefits of Structured Medication Reviews in elderly Chinese ...Health Innovation Wessex
The Health Innovation Network Polypharmacy programme is working with healthcare professionals to address problematic polypharmacy by supporting easier identification of patients at potential risk from harm from multiple medications.
Our evidence-based polypharmacy Action Learning Sets (ALS) are being rolled out across England to support GPs, pharmacists and other healthcare professionals who undertake prescribing or medication reviews to understand the complex issues around stopping inappropriate medicines safely.
To drive and accelerate changes in practice, delegates complete a quality improvement project to address problematic polypharmacy in their workplace. This poster summary, To evaluate the benefits of Structured Medication Reviews in elderly Chinese patients, can be viewed here.
For more information about the polypharmacy programme, please visit https://thehealthinnovationnetwork.co.uk/programmes/medicines/polypharmacy/
The Health Innovation Network Polypharmacy programme is working with healthcare professionals to address problematic polypharmacy by supporting easier identification of patients at potential risk from harm from multiple medications.
Our evidence-based polypharmacy Action Learning Sets (ALS) are being rolled out across England to support GPs, pharmacists and other healthcare professionals who undertake prescribing or medication reviews to understand the complex issues around stopping inappropriate medicines safely.
To drive and accelerate changes in practice, delegates complete a quality improvement project to address problematic polypharmacy in their workplace. This poster summary,
Review of patients on high dose opioids at Living Well PCN, can be viewed here.
For more information about the polypharmacy programme, please visit https://thehealthinnovationnetwork.co.uk/programmes/medicines/polypharmacy/
The Health Innovation Network Polypharmacy programme is working with healthcare professionals to address problematic polypharmacy by supporting easier identification of patients at potential risk from harm from multiple medications.
Our evidence-based polypharmacy Action Learning Sets (ALS) are being rolled out across England to support GPs, pharmacists and other healthcare professionals who undertake prescribing or medication reviews to understand the complex issues around stopping inappropriate medicines safely.
To drive and accelerate changes in practice, delegates complete a quality improvement project to address problematic polypharmacy in their workplace. This poster summary, Re-establishing autonomy in elderly frail patients, can be viewed here.
For more information about the polypharmacy programme, please visit https://thehealthinnovationnetwork.co.uk/programmes/medicines/polypharmacy/
The Health Innovation Network Polypharmacy programme is working with healthcare professionals to address problematic polypharmacy by supporting easier identification of patients at potential risk from harm from multiple medications.
Our evidence-based polypharmacy Action Learning Sets (ALS) are being rolled out across England to support GPs, pharmacists and other healthcare professionals who undertake prescribing or medication reviews to understand the complex issues around stopping inappropriate medicines safely.
To drive and accelerate changes in practice, delegates complete a quality improvement project to address problematic polypharmacy in their workplace. This poster summary, Improving Medication Reviews using the NO TEARS Tool, can be viewed here.
For more information about the polypharmacy programme, please visit https://thehealthinnovationnetwork.co.uk/programmes/medicines/polypharmacy/
Improving care in County Durham under the STOMP agenda - A 5 year review.pdfHealth Innovation Wessex
The Health Innovation Network Polypharmacy programme is working with healthcare professionals to address problematic polypharmacy by supporting easier identification of patients at potential risk from harm from multiple medications.
Our evidence-based polypharmacy Action Learning Sets (ALS) are being rolled out across England to support GPs, pharmacists and other healthcare professionals who undertake prescribing or medication reviews to understand the complex issues around stopping inappropriate medicines safely.
To drive and accelerate changes in practice, delegates complete a quality improvement project to address problematic polypharmacy in their workplace. This poster summary, Improving care in County Durham under the STOMP agenda - A 5 year review, can be viewed here.
For more information about the polypharmacy programme, please visit https://thehealthinnovationnetwork.co.uk/programmes/medicines/polypharmacy/
Impact of an EMIS search to prioritise care home residents for a pharmacist l...Health Innovation Wessex
The Health Innovation Network Polypharmacy programme is working with healthcare professionals to address problematic polypharmacy by supporting easier identification of patients at potential risk from harm from multiple medications.
Our evidence-based polypharmacy Action Learning Sets (ALS) are being rolled out across England to support GPs, pharmacists and other healthcare professionals who undertake prescribing or medication reviews to understand the complex issues around stopping inappropriate medicines safely.
To drive and accelerate changes in practice, delegates complete a quality improvement project to address problematic polypharmacy in their workplace. This poster summary, Impact of an EMIS search to prioritise care home residents for a pharmacist led medication review, can be viewed here.
For more information about the polypharmacy programme, please visit https://thehealthinnovationnetwork.co.uk/programmes/medicines/polypharmacy/
The Health Innovation Network Polypharmacy programme is working with healthcare professionals to address problematic polypharmacy by supporting easier identification of patients at potential risk from harm from multiple medications.
Our evidence-based polypharmacy Action Learning Sets (ALS) are being rolled out across England to support GPs, pharmacists and other healthcare professionals who undertake prescribing or medication reviews to understand the complex issues around stopping inappropriate medicines safely.
To drive and accelerate changes in practice, delegates complete a quality improvement project to address problematic polypharmacy in their workplace. This poster summary, Identifying Orthostatic Hypotension caused by Medication, can be viewed here.
For more information about the polypharmacy programme, please visit https://thehealthinnovationnetwork.co.uk/programmes/medicines/polypharmacy/
- Video recording of this lecture in English language: https://youtu.be/kqbnxVAZs-0
- Video recording of this lecture in Arabic language: https://youtu.be/SINlygW1Mpc
- Link to download the book free: https://nephrotube.blogspot.com/p/nephrotube-nephrology-books.html
- Link to NephroTube website: www.NephroTube.com
- Link to NephroTube social media accounts: https://nephrotube.blogspot.com/p/join-nephrotube-on-social-media.html
TEST BANK For Basic and Clinical Pharmacology, 14th Edition by Bertram G. Kat...rightmanforbloodline
TEST BANK For Basic and Clinical Pharmacology, 14th Edition by Bertram G. Katzung, Verified Chapters 1 - 66, Complete Newest Version.
TEST BANK For Basic and Clinical Pharmacology, 14th Edition by Bertram G. Katzung, Verified Chapters 1 - 66, Complete Newest Version.
TEST BANK For Basic and Clinical Pharmacology, 14th Edition by Bertram G. Katzung, Verified Chapters 1 - 66, Complete Newest Version.
TEST BANK For Basic and Clinical Pharmacology, 14th Edition by Bertram G. Katzung, Verified Chapters 1 - 66, Complete Newest Version.
Osteoporosis - Definition , Evaluation and Management .pdfJim Jacob Roy
Osteoporosis is an increasing cause of morbidity among the elderly.
In this document , a brief outline of osteoporosis is given , including the risk factors of osteoporosis fractures , the indications for testing bone mineral density and the management of osteoporosis
These lecture slides, by Dr Sidra Arshad, offer a quick overview of the physiological basis of a normal electrocardiogram.
Learning objectives:
1. Define an electrocardiogram (ECG) and electrocardiography
2. Describe how dipoles generated by the heart produce the waveforms of the ECG
3. Describe the components of a normal electrocardiogram of a typical bipolar lead (limb II)
4. Differentiate between intervals and segments
5. Enlist some common indications for obtaining an ECG
6. Describe the flow of current around the heart during the cardiac cycle
7. Discuss the placement and polarity of the leads of electrocardiograph
8. Describe the normal electrocardiograms recorded from the limb leads and explain the physiological basis of the different records that are obtained
9. Define mean electrical vector (axis) of the heart and give the normal range
10. Define the mean QRS vector
11. Describe the axes of leads (hexagonal reference system)
12. Comprehend the vectorial analysis of the normal ECG
13. Determine the mean electrical axis of the ventricular QRS and appreciate the mean axis deviation
14. Explain the concepts of current of injury, J point, and their significance
Study Resources:
1. Chapter 11, Guyton and Hall Textbook of Medical Physiology, 14th edition
2. Chapter 9, Human Physiology - From Cells to Systems, Lauralee Sherwood, 9th edition
3. Chapter 29, Ganong’s Review of Medical Physiology, 26th edition
4. Electrocardiogram, StatPearls - https://www.ncbi.nlm.nih.gov/books/NBK549803/
5. ECG in Medical Practice by ABM Abdullah, 4th edition
6. Chapter 3, Cardiology Explained, https://www.ncbi.nlm.nih.gov/books/NBK2214/
7. ECG Basics, http://www.nataliescasebook.com/tag/e-c-g-basics
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Local Advanced Lung Cancer: Artificial Intelligence, Synergetics, Complex Sys...Oleg Kshivets
Overall life span (LS) was 1671.7±1721.6 days and cumulative 5YS reached 62.4%, 10 years – 50.4%, 20 years – 44.6%. 94 LCP lived more than 5 years without cancer (LS=2958.6±1723.6 days), 22 – more than 10 years (LS=5571±1841.8 days). 67 LCP died because of LC (LS=471.9±344 days). AT significantly improved 5YS (68% vs. 53.7%) (P=0.028 by log-rank test). Cox modeling displayed that 5YS of LCP significantly depended on: N0-N12, T3-4, blood cell circuit, cell ratio factors (ratio between cancer cells-CC and blood cells subpopulations), LC cell dynamics, recalcification time, heparin tolerance, prothrombin index, protein, AT, procedure type (P=0.000-0.031). Neural networks, genetic algorithm selection and bootstrap simulation revealed relationships between 5YS and N0-12 (rank=1), thrombocytes/CC (rank=2), segmented neutrophils/CC (3), eosinophils/CC (4), erythrocytes/CC (5), healthy cells/CC (6), lymphocytes/CC (7), stick neutrophils/CC (8), leucocytes/CC (9), monocytes/CC (10). Correct prediction of 5YS was 100% by neural networks computing (error=0.000; area under ROC curve=1.0).
Histololgy of Female Reproductive System.pptxAyeshaZaid1
Dive into an in-depth exploration of the histological structure of female reproductive system with this comprehensive lecture. Presented by Dr. Ayesha Irfan, Assistant Professor of Anatomy, this presentation covers the Gross anatomy and functional histology of the female reproductive organs. Ideal for students, educators, and anyone interested in medical science, this lecture provides clear explanations, detailed diagrams, and valuable insights into female reproductive system. Enhance your knowledge and understanding of this essential aspect of human biology.
The transformation of how we use data - Simon Beaumont
1. The transformation of how we use data
Big data in health and care – April 19th 2016
Simon Beaumont
Head of Information
2. Why did we need B.I?
2
The case for change across the NHS is well known and common
across all Trusts:
Innovation and
collaboration
across
organisations
Increasing
efficiency
National data
flows and
pathway analysis
3. Why did we need B.I?
3
However, internally, the cultural case for change was more powerful
and engaging:
Data was being used for judgment and
creating a fear of data within clinicians
With performance conversations being
driven by a single number and often top
down
4. Our approach to B.I
4
The Trust has taken the approach that Business Intelligence
should be for the many (all employees), not for the few (the
Executive Team).
5. Our approach to B.I
5
As such we wanted to put the ‘i’ into B.I in a way that engages
clinicians, implementing B.I as a cultural project rather than a
technical project; creating a learning, informatics culture:
Individualised
Intriguing
Intuitive
Informative
6. Our approach to B.I
6
Individualising visualisations increases engagement, encourages
ownership and facilitates a culture of intrigue and learning.
Individualising visualisations can be achieved in multiple ways:
Patient level analytics Clinician level benchmarking
8. The Tableau difference
8
Tableau has transformed the way we work in less than 6 months:
1,610
registered
users
56
daily
data
extracts
263
visualisations
1,156
subscriptions
9. The Tableau difference
9
Tableau has transformed the way we work in less than 6 months:
Efficiency; time saved and resources better utilised
Visualisations are now available daily through Tableau server
Ad-hoc requests are starting to be answered in Tableau within
minutes as opposed to hours previously when using Excel
10. The Tableau difference
10
Tableau has transformed the way we work in less than 6 months:
Analysts being used to analyse
Previous high level of repetition and process
Tableau is transforming the work of our analysts, enabling them
to analyse data and realise their potential
11. The Tableau difference
11
Tableau has facilitated the development of a positive, learning
culture where data is used for improvement:
Benchmarking of teams and data down to clinician level
Metrics are actively benchmarked across teams within a single
service line; teams are not restricted to viewing only their data
Performance is reported down to clinician level to
facilitate learning and increase accountability
12. The Tableau difference
12
Tableau has transformed the way we work in less than 6 months:
“The way things are going I may be needing
some sort of support group ‘Data
Anonymous’, I am finding that digging around
my data reports is quite addictive!”
“The work put into Tableau has certainly
transformed the way our teams work and I
can’t wait to be able to use it for the rest of
the teams that I manage.”
13. The Tableau difference
13
Tableau has transformed the way we work in less than 6 months:
“Has made an amazing difference in how I manage the teams
data. Has given me more time to concentrate on my clinical
caseload and see more patients. From countless bits of paper to
being able to subscribe the team to one weekly e-mail. This has
saved so much time. As for the rest of the data, this is genius.”
“At last an easily understood format that I have ensured all my
team has had training in and uses when they have the time. My
life as a manager has been made a lot easier and reporting is not
such a laborious process.
14. In short
14
and Business Intelligence can make a real
difference to the NHS and a real difference
to the patients we serve