Health Care reform redefined how individuals can obtain health insurance. Providers will receive incentives on positive outcomes which will lead to their increased interest in improving the health not only of the patients they visit in their offices but the patients they seldom see. The information available about their patients is growing rapidly and can be harvested from sources that are not typically linked to medical records. In this session you will learn about emerging sources of data and the use of advanced analytics that can lead to the proactive improvement of population health and wellness.
Deciphering the impact of AI to pharma + healthcare Leo Barella
This presentation covers the impact of Artificial Intelligence leveraging Big Data to improve health outcomes and it gives a perspective on how the technology can be leveraged to improve the Pharma value stream.
Big data in the real world opportunities and challenges facing healthcare -...Leo Barella
The Healthcare system will be target of major disruption more than any other industry in the next 10 years.
The Digital economics and increasing demand by consumers for more real time information in order to make better decisions on who they want to "hire" to perform services for them or in their behalf will be the driver of this disruption. Analytics, Big Data and Machine Learning will lay the foundation for the next generation of healthcare yet there are still many challenges to truly revolutionize the healthcare system end to end (Providers, Pharma, Payers)
The presentation defines the shift in the health care system to fit the model of Consumerism and Customer Centricity. IT details the changes focus for the Customer, the Providers (Doctors and Hospitals), the Pharmaceutical Companies and the Insurance Companies.
Transforming Healthcare with Big Data, Social and MobilePaul Brian Contino
IBM Insight 2014
Transforming Healthcare with Big Data, Social and Mobile.
Presenters : Sri Srinivasan, Paul Contino, Phani Konduru)
October 28th, 2014
Las Vegas, Nevada
Improving Care Coordination with Big Data, Analytics and Technology - Paul Co...Paul Brian Contino
Medical Informatics Update: Analytics and Tools for Care Coordination
IBM Thomas J Watson Research Center
October 16th, 2013
The 2013 edition of the Medical Informatics Update is a joint effort between IBM Research and the Columbia University Center for Advanced Information Management. The general chairs for this workshop are Dr. Shahram Ebadollahi and Dr. Georges Hripcsak.
Deciphering the impact of AI to pharma + healthcare Leo Barella
This presentation covers the impact of Artificial Intelligence leveraging Big Data to improve health outcomes and it gives a perspective on how the technology can be leveraged to improve the Pharma value stream.
Big data in the real world opportunities and challenges facing healthcare -...Leo Barella
The Healthcare system will be target of major disruption more than any other industry in the next 10 years.
The Digital economics and increasing demand by consumers for more real time information in order to make better decisions on who they want to "hire" to perform services for them or in their behalf will be the driver of this disruption. Analytics, Big Data and Machine Learning will lay the foundation for the next generation of healthcare yet there are still many challenges to truly revolutionize the healthcare system end to end (Providers, Pharma, Payers)
The presentation defines the shift in the health care system to fit the model of Consumerism and Customer Centricity. IT details the changes focus for the Customer, the Providers (Doctors and Hospitals), the Pharmaceutical Companies and the Insurance Companies.
Transforming Healthcare with Big Data, Social and MobilePaul Brian Contino
IBM Insight 2014
Transforming Healthcare with Big Data, Social and Mobile.
Presenters : Sri Srinivasan, Paul Contino, Phani Konduru)
October 28th, 2014
Las Vegas, Nevada
Improving Care Coordination with Big Data, Analytics and Technology - Paul Co...Paul Brian Contino
Medical Informatics Update: Analytics and Tools for Care Coordination
IBM Thomas J Watson Research Center
October 16th, 2013
The 2013 edition of the Medical Informatics Update is a joint effort between IBM Research and the Columbia University Center for Advanced Information Management. The general chairs for this workshop are Dr. Shahram Ebadollahi and Dr. Georges Hripcsak.
In early 2015, in a forward-thinking article on Healthcare IT News, HIMSS Analytics identified 18 technologies with positive growth potential that were set to take hold in the industry. This predictive analysis utilized data on technology adoption from 2010 to 2014. HIMSS Analytics has analyzed the changes in buying intent from 2014 through 2015 and is making the analysis available. HIMSS Analytics correctly predicted 4 of the top 5 technologies planned for deployment in 2016. With 2015 behind us and another year’s worth of data at our fingertips, we’ll highlight changes in technology purchase plans by healthcare delivery organizations for 2016.
Should healthcare be more digitized? Absolutely. But if we go about it the wrong way... or the naïve way... we will take two steps forward and three steps back.
In this 90-minute webinar, Dale Sanders, President of Technology at Health Catalyst describes the right way to go about the technical digitization of healthcare so that it increases the sense of humanity during the journey.
The topics Dale covers include:
• The human, empathetic components of healthcare’s digitization strategy
• The AI-enabled healthcare encounter in the near future
• Why the current digital approach to patient engagement will never be effective
• The dramatic near-term potential of bio-integrated sensors
• Role of the “digitician” and patient data profiles
• The technology and architecture of a modern digital platform
• The role of AI vs. the role of traditional data analysis in healthcare
• Reasons that home grown digital platforms will not scale, economically
Most of the data that’s generated in healthcare is about administrative overhead of healthcare, not about the current state of patients’ well-being. On average, healthcare collects data about patients three times per year from which providers are expected to optimize diagnoses, treatments, predict health risks and cultivate long-term care plans. Where’s the data about patients’ health from the other 362 days per year?
McKinsey ranks industries based on their Digital Quotient (DQ), which is derived from a cross product of three areas: Data Assets x Data Skills x Data Utilization. Healthcare ranks lower than all industries except mining. It’s time for healthcare to raise its digital quotient, however, it’s a delicate balance. The current “data-driven” strategy in healthcare is a train wreck, sucking the life out of clinicians’ sense of mastery, autonomy, and purpose.
Healthcare’s digital strategy has largely ignored the digitization of patients’ state of health, but that’s changing, and the change will be revolutionary. Driven by bio-integrated sensors and affordable genomics, in the next five years, many patients will possess more data and AI-driven insights about their diagnosis and treatment options than healthcare systems, turning the existing dialogue with care providers on its head. It’s going to happen. Let’s make it happen the right way.
With exponential innovation in digital medicine and mobile health, what is utterly lacking is evidence generation and implementation science to help transform health systems into learning healthcare systems. This talk was given at Connected Health Conference, Dec 2016 as part of NODE Health Initiative.
Mark Behl Presents: 3 Up-and-Coming Digital Health Companies That Put Patient...Mark Behl
The biggest obstacle to population health innovation is existing legacy systems. By putting patient experience first, three startups are exemplifying what is possible in digital health.
HXR 2016: Improving Insurance Member Experiences -Christopher NeuharthHxRefactored
This section of the agenda will feature leaders in innovation, customer experience, and design within the health insurance space. Each panelist will present the current state of experience at their organization, what successes they have seen, what situations they have learned from, and what their challenges and obstacles are, and where they would like to see things head in the future. Then Amy Cueva will guide the group in a discussion around strategy, measurement, culture change, and other important topics relevant to delivering phenomenal experiences.
More and more health economies across the globe are deploying Electronic Health Records with some countries reaching full adoption by 2017. This means we, as healthcare marketers, now have a vital new channel to reach and educate decision makers.
The healthcare industry is a perfect candidate for disruptive technology. Social media, cloud computing and mobile devices lead the way. However the transformation is not without its risks. This presentation looks at the top security risks of these technologies and how vendors can address them to increase adoption.
Health device makers, to date, have primarily targeted consumers who are either fitness focused or chronically ill. But between these two extremes sits a large, fragmented and often overlooked population who seek better information to effectively manage their health. Our research suggests that successful solution providers will approach this market opportunity as an ecosystem of partners – with an integrated solution that extends beyond the device itself. By plugging the information gap for these consumers, solution providers can help fuel healthcare innovation.
mHealth Israel_Levi Shapiro_Israel Digital Health Overview Levi Shapiro
Overview of digital health investment sector, including investment, funding and exit trends in the US and Israel, as well as successful case studies of eHealth companies in the US and Israel
The potential of a digital health ecosystemVelametis
Our idea of digital health ecosystems and their potential to deliver value to all stakeholders involved, is changing. The COVID-19 pandemic accelerated the need to improve remote care, engagement tools and interconnectivity, which are all necessary to support a functioning digital ecosystem.
In this opinion piece, we touch upon the basic components of a Digital Health Ecosystem and how it can be optimised with health technology.
Content overview:
What is a Digital Health Ecosystem?
Why Do We Need Digital Health Ecosystems?
The Pros and Cons
The Potential
Digital Health Ecosystems to Watch
Download here:
https://velametis.com/the-potential-of-a-digital-health-ecosystem/
Presentation covers basics of Big Data & its potential uses in healthcare. Data is growing & moving faster day by day. Getting access to this valuable data & factoring it into clinical & advanced analytics is critical to improve care. So there must be analysis of big data to make effective decisions.
Embracing game-changing trends and innovations across telehealth, SDOH data integration, AI and gene editing is a great way to build on a promise of a better tomorrow. Go through this presentation to know the top healthcare trends to embrace in 2021.
In early 2015, in a forward-thinking article on Healthcare IT News, HIMSS Analytics identified 18 technologies with positive growth potential that were set to take hold in the industry. This predictive analysis utilized data on technology adoption from 2010 to 2014. HIMSS Analytics has analyzed the changes in buying intent from 2014 through 2015 and is making the analysis available. HIMSS Analytics correctly predicted 4 of the top 5 technologies planned for deployment in 2016. With 2015 behind us and another year’s worth of data at our fingertips, we’ll highlight changes in technology purchase plans by healthcare delivery organizations for 2016.
Should healthcare be more digitized? Absolutely. But if we go about it the wrong way... or the naïve way... we will take two steps forward and three steps back.
In this 90-minute webinar, Dale Sanders, President of Technology at Health Catalyst describes the right way to go about the technical digitization of healthcare so that it increases the sense of humanity during the journey.
The topics Dale covers include:
• The human, empathetic components of healthcare’s digitization strategy
• The AI-enabled healthcare encounter in the near future
• Why the current digital approach to patient engagement will never be effective
• The dramatic near-term potential of bio-integrated sensors
• Role of the “digitician” and patient data profiles
• The technology and architecture of a modern digital platform
• The role of AI vs. the role of traditional data analysis in healthcare
• Reasons that home grown digital platforms will not scale, economically
Most of the data that’s generated in healthcare is about administrative overhead of healthcare, not about the current state of patients’ well-being. On average, healthcare collects data about patients three times per year from which providers are expected to optimize diagnoses, treatments, predict health risks and cultivate long-term care plans. Where’s the data about patients’ health from the other 362 days per year?
McKinsey ranks industries based on their Digital Quotient (DQ), which is derived from a cross product of three areas: Data Assets x Data Skills x Data Utilization. Healthcare ranks lower than all industries except mining. It’s time for healthcare to raise its digital quotient, however, it’s a delicate balance. The current “data-driven” strategy in healthcare is a train wreck, sucking the life out of clinicians’ sense of mastery, autonomy, and purpose.
Healthcare’s digital strategy has largely ignored the digitization of patients’ state of health, but that’s changing, and the change will be revolutionary. Driven by bio-integrated sensors and affordable genomics, in the next five years, many patients will possess more data and AI-driven insights about their diagnosis and treatment options than healthcare systems, turning the existing dialogue with care providers on its head. It’s going to happen. Let’s make it happen the right way.
With exponential innovation in digital medicine and mobile health, what is utterly lacking is evidence generation and implementation science to help transform health systems into learning healthcare systems. This talk was given at Connected Health Conference, Dec 2016 as part of NODE Health Initiative.
Mark Behl Presents: 3 Up-and-Coming Digital Health Companies That Put Patient...Mark Behl
The biggest obstacle to population health innovation is existing legacy systems. By putting patient experience first, three startups are exemplifying what is possible in digital health.
HXR 2016: Improving Insurance Member Experiences -Christopher NeuharthHxRefactored
This section of the agenda will feature leaders in innovation, customer experience, and design within the health insurance space. Each panelist will present the current state of experience at their organization, what successes they have seen, what situations they have learned from, and what their challenges and obstacles are, and where they would like to see things head in the future. Then Amy Cueva will guide the group in a discussion around strategy, measurement, culture change, and other important topics relevant to delivering phenomenal experiences.
More and more health economies across the globe are deploying Electronic Health Records with some countries reaching full adoption by 2017. This means we, as healthcare marketers, now have a vital new channel to reach and educate decision makers.
The healthcare industry is a perfect candidate for disruptive technology. Social media, cloud computing and mobile devices lead the way. However the transformation is not without its risks. This presentation looks at the top security risks of these technologies and how vendors can address them to increase adoption.
Health device makers, to date, have primarily targeted consumers who are either fitness focused or chronically ill. But between these two extremes sits a large, fragmented and often overlooked population who seek better information to effectively manage their health. Our research suggests that successful solution providers will approach this market opportunity as an ecosystem of partners – with an integrated solution that extends beyond the device itself. By plugging the information gap for these consumers, solution providers can help fuel healthcare innovation.
mHealth Israel_Levi Shapiro_Israel Digital Health Overview Levi Shapiro
Overview of digital health investment sector, including investment, funding and exit trends in the US and Israel, as well as successful case studies of eHealth companies in the US and Israel
The potential of a digital health ecosystemVelametis
Our idea of digital health ecosystems and their potential to deliver value to all stakeholders involved, is changing. The COVID-19 pandemic accelerated the need to improve remote care, engagement tools and interconnectivity, which are all necessary to support a functioning digital ecosystem.
In this opinion piece, we touch upon the basic components of a Digital Health Ecosystem and how it can be optimised with health technology.
Content overview:
What is a Digital Health Ecosystem?
Why Do We Need Digital Health Ecosystems?
The Pros and Cons
The Potential
Digital Health Ecosystems to Watch
Download here:
https://velametis.com/the-potential-of-a-digital-health-ecosystem/
Presentation covers basics of Big Data & its potential uses in healthcare. Data is growing & moving faster day by day. Getting access to this valuable data & factoring it into clinical & advanced analytics is critical to improve care. So there must be analysis of big data to make effective decisions.
Embracing game-changing trends and innovations across telehealth, SDOH data integration, AI and gene editing is a great way to build on a promise of a better tomorrow. Go through this presentation to know the top healthcare trends to embrace in 2021.
Proyecto Fin de Carrera Arquitectura, Junio 2014
Jaime Jiménez
Universidad Europea de Madrid
LINKEDIN: lv.linkedin.com/pub/jaime-jiménez-gutiérrez/48/916/808
INSTAGRAM: instagram.com/jaimmeal
Mit einem Address Branding Prozess sind Immobilienprojekte schon von der Planung weg besser positioniert. Man spricht sofort die richtigen Kunden an, verkauft schneller und schafft nachhaltig Identität und Wert. Address Branding überzeugt und begeistert Kunden, die gerne bereit sind, für die Erfüllung ihres ganz persönlichen Immobilienwunsches etwas mehr zu bezahlen.
Das Produkt Address Branding wendet sich an Architekten, Bauträger, Immobilienentwickler, Makler, Vermieter,Eigentümer und Käufer.
Es schafft Heimat für die „richtigen“ Käufer und Bewohner noch bevor überhaupt etwas
verkauft ist. Es bietet die Projektionsfläche und Identifizierung für unterschiedliche Lebensentwürfe.
Weitere Informationen:
http://www.addressbranding.at
http://www.brandsandfriends.at
Application of Big Data in Medical Science brings revolution in managing heal...IJEEE
Big Data can be combined with new technology to bring about positive conversion in the health care segment. A technology aimed at making Big Data analytics a certainty will act as a key element in transforming the way the health care industry operates today. The study and analysis of Big Data can be used for tracking and managing population health care effectively and efficiently. In ten years, eighty percent of the work people do in medicine will be replaced by technology. And medicine will not look anything like what it does today. Healthcare will change enormously as it becomes a data-driven industry. But the magnitude of the data, the speed at which it’s growing and the threat it could pose to individual privacy mean mastering "big data" is one of biomedicine's most pressing challenges. Hiding within those mounds of data is knowledge that could change the life of a patient, or change the world. This also plays a vital role in delivering preventive care. Health care will change a great deal as it becomes a data- driven industry. But the size of the data, the speed at which it’s growing and the threat it could cause to individual privacy mean mastering it is one of biomedicine's most critical challenges. In this research paper we will discuss problems faced by big data, obstacles in using big data in the health industry, how big Data analytics can take health care to a new level by enhancing the overall quality of patient care.
A look at the key trends and challenges in applying Big Data to transform healthcare by supporting research, self care, providers and building ecosystems. Purchase the report here: https://gumroad.com/l/PlXP
This white paper offers a detailed perspective on how big data is impacting the healthcare industry and its underlying implication on the industry as a whole. It outlines the role of big data in healthcare, its benefits, core components and challenges faced by the healthcare sector towards full-fledged adoption & implementation.
Future of patient data global summary - 29 may 2018Future Agenda
We are witnessing a growing revolution around the provision of healthcare. Much is being driven by the proliferation of medical data and the technology that supports this. As the pressures on healthcare providers continue to escalate, the better collection, management and use of more patient-specific information provides a significant opportunity for innovation and change. The Future Agenda team made this, the Future of Patient Data, the focus of our major Open Foresight project for 2017/18 – 12 discussions across 11 countries, gathering views from over 300 experts.
This report shares the findings from the Future of Patient Data research project. It highlights several important emerging issues that are the source of major differences of opinion around the world. These include how to best accommodate rising data sovereignty concerns, the privatisation of health information and the growing value of health data. Some of the challenges and opportunities are technical in nature, but many are concerned with different ethical, philosophical and cultural approaches to health and how we treat the sick in society.
To access the full report please see https://www.futureofpatientdata.org
Future of Patient Data Berlin - 18 April 2018Future Agenda
Future of Patient Data Summary
As we prepare for the publication of the full final report from the Future of Patient Data project, we have a series of talks taking place around the world. They start off April 18th in Berlin and then continue during May and June in Vienna, Sydney, Barcelona and Copenhagen.
This is the core presentation for these talks and brings together some of the key insights gained from 12 discussions around the world.
Enhance Healthcare Analytics with Consumer DataRay Pun
To succeed in the new value-based care landscape, healthcare providers must expand beyond traditional data sources for healthcare analytics. Leading providers are using consumer data, available at the individual and household level, to supplement clinical and claims data. By integrating consumer insights into models for understanding and predicting patient health, providers can improve the health of Americans and achieve these outcomes:
• Improve community health needs assessments
• Drive patient retention and engagement with personalized
wellness programs
• Reduce patient readmission rates
A BIG DATA REVOLUTION IN HEALTH CARE SECTOR: OPPORTUNITIES, CHALLENGES AND TE...ijistjournal
Health care sector grows tremendously in last few decades. The health care sector has generated huge amounts of data that has huge volume, enormous velocity and vast variety. Also it comes from a variety of new sources as hospitals are now tend to implemented electronic health record (EHR) systems. These sources have strained the existing capabilities of existing conventional relational database management systems. In such scenario, Big data solutions offer to harness these massive, heterogeneous and complex data sets to obtain more meaningful and knowledgeable information.
This paper basically studies the impact of implementing the big data solutions on the healthcare sector, the potential opportunities, challenges and available platform and tools to implement Big data analytics in health care sector.
What is the role of predictive analytics in life sciencesJackMathew4
Life science companies are looking to utilize the massive amounts of structured and unstructured data they own to achieve these goals through big data (predictive analytics) analysis.
Running head: REPORT 1
REPORT 5
Consumption Behavior; Electronics
Student’s Name
Institutional Affiliation
Topic description
Consumption behavior is the manner in which an audience responds to product marketing. Consumption behavior is also referred to as buying behavior, and it revolves around the buying intentions and attitudes of individuals. It is important for producers to understand the consumption behavior of existing and prospective customers; this way, they can make goods and services that align to customer tastes and preferences (Friedman, 2018). In addition to that, understanding consumption behavior helps producers to manufacture or process goods that match the aggregate demand of customers. It is not advisable for a business to engage in mass production without considering rough estimates for demand as such may lead to excess inventory that never manages to get off the shelves. This project will give invaluable insights with respect to the behavior of buyers towards electrical appliances.
Significance of the Project
The project is significant because it will answer a multiplicity of pertinent questions regarding market equilibrium of electronic appliances, the influence of Adam Smith's invisible hand in the electronics market, determinants of aggregate demand, and drivers of supply among others. As such, consumers, suppliers, producers, and investors will find the study insightful with respect to answering market questions they may have (Roos & Hahn, 2017). The significance of the research questions offered by the study is that it will make audiences more rational in the choices they make. First, after reading the study, buyers may decide to commit to buying high-quality products as opposed to those of less quality which require replacement every six months. What's more, a majority of the producers that read the study may be influenced to produce high-quality products that make their brand unique in the eyes of customers; with a promise of high quality and longevity of the products involved to customers. Third, the research may influence suppliers to be more committed to excellence.
Historical Data for Key Parameters
The steady sale of electronics in The US does seemed to have followed a clear pattern over time. The frequency with which consumers buy electronics seems quite high. Most producers are looking strike a balance between quality and price get the most customers. Where some are just trying to cash in with cheap and flashy items. The graph below depicts the time line for The US computer/software store sales from 1992 to 2015. Currently, the US Electronics Store Sales is in excess of $25 Billion USD annually.
Source: https://www.statista.com/statistics/197603/annual-computer-and-software-store-sales-in-the-us-since-1992/
The necessity of electronics to us becomes evident when you look at how many US homes have them. The percentage of US house hold owning home computers has incr.
Payers are being challenged as the industry shifts from volume-based care to a value-based reimbursement structure that would benefit the patient, the healthcare provider and the payer. New payment models including fee-for-service only and pay-for performance creates impetus for payers to acquire, aggregate, and analyze data.
A Case Analysis on Involvement of Big Data during Natural Disaster and Pandem...YogeshIJTSRD
Big data is an upcoming technology and requires utmost care for an efficient and smooth implementation of the technology. In case of healthcare the most challenging part of big data is the privacy, data security, handling large volume of medical imaging data and data leakage. It can be useful to this sector when big data is made structured, relevant, smart and accessible and the managers should give importance to the strategic and business value of big data technology rather than only concentrating at the technological aspect of the implementation. The use of big data in natural disasters and pandemics helps to understand and make better decision with fast processing of the data that are collected through various sources such as social media, sensors and other internet activities. This paper tries to focus on effective involvement of Big Data in natural disaster and pandemic and also identify the current and future use of Big Data in health care sector. The paper identifies the critical aspects which are used for Big data implementation and describe ways to handle the challenges related to it. Mr. Bibin Mathew | Dr. Swati John "A Case Analysis on Involvement of Big Data during Natural Disaster and Pandemics and its Uses in the Health Care Sector" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-5 , August 2021, URL: https://www.ijtsrd.com/papers/ijtsrd45049.pdf Paper URL: https://www.ijtsrd.com/management/other/45049/a-case-analysis-on-involvement-of-big-data-during-natural-disaster-and-pandemics-and-its-uses-in-the-health-care-sector/mr-bibin-mathew
4 Digital Health Trends Affecting Your Revenue CycleMeduit
The emerging digital trends impacting the healthcare industry are as varied as the new technologies being developed, but there are four trends that are having a more significant impact on the revenue cycle. Find out what they are in this Meduit Innovation Lab guide!
Data-driven Healthcare for ManufacturersLindaWatson19
Medical Device Equipment and Hospital Supplies Manufacturers also face increased pressure to comply with strict regulatory procedures to ensure patient safety. Product transparency and efficient end-to-end processes that optimize the manufacturing process and decision making are very important.
Data-Driven Healthcare for Manufacturers Amit Mishra
Data-driven healthcare empowers the providers with a common data platform to discover untapped data-driven opportunities. Healthcare data and its impact on the patient care decision process via accurate, real-time, reliable data from disparate sources is creating a digital health revolution. Physician groups, nursing facilities, hospitals, pharmaceutical companies, clinical researchers, and medical equipment manufacturers are all churning out vast amounts of data during their daily operations. This data has tremendous value and can revolutionize patient care, diagnosis, real-time decisions and help deliver new, unimagined innovations with quality of patient care. Know more about data-driven healthcare at https://www.solix.com/solutions/data-driven-solutions/healthcare/
Big Data in Healthcare
Hospital and healthcare providers can use big data to expand the scope of their projects and draw comparisons over larger populations of data. Because big data involves the use of automation and artificial intelligence, data can be processed in larger volumes and higher velocity to uncover valuable insights for Management.
Big data enables management to proactively identify issues with real-time access to the data so that decisions can be base more on hard evidence and facts, rather than emphasizing on guesswork and assumptions about customers, employees, and vendors. Applying analytics to big data creates many opportunities for healthcare businesses to gain greater insight, predict future outcomes and automate non-routine tasks.
Healthcare industries have gone through massive technology driven transformations over the past decade. This is a result of the significant advancement in digitized, disruptive, open sourced and pervasive healthcare information technologies and peripherals in application, that are continuously producing huge volumes of diversified data. In a recent literature review, Agrawal and Prabakaran1 suggested that big data are an integral part of “the next generation of technological developments” that reveal new insights from vast quantities of data being produced from various sectors, including health care. (Shah J Miah, Edwin Camilleria, and H. Quan Vub).
Healthcare requires a lot of analysis and less room for error, with big data and analytics procedure can be game changer. Healthcare busines requires to analyze, store, and continuously update patient’s data and these tasks cannot efficiently be achieved without the help of big data.
According to Pastorino, the use of big data in health care can provision the design of solutions that improve patient care and can generate value and new strategies to overcome dynamic challenges in healthcare organizations. This is attributed to big data in health care providing an opportunity to detect meaningful patterns, which in turn produce actionable knowledge for precision medicine and various healthcare decision-makers. (Shah J Miah, Edwin Camilleria, and H. Quan Vu)
Harmony Alliance stated that opportunities offered by big data “will only materialize when healthcare systems move beyond the mere collection of large amounts of data. Linkage of previously separated data sets and their analysis using appropriate big data analytics offer new ways to accelerate research and to identify the right treatment for individual patients. Access to large data sets that paint a more comprehensive picture of patients allows patient-relevant outcomes to be measured more accurately.”
Big data is becoming crucial in this time of Covid-19, where data need to be collected from different corner of the globe. Data are collected in a big amount and need to be processed in real time so the decision-makers can have enough information to work on. Today’s world is interconnected, and pa ...
Advanced analytics playing a vital role for health insurersBodhtree
Insurance companies are realizing the benefits of using advanced analytics for designing products, segmenting and developing metrics for risk management.Analytics can enable the compilation of information about trends, patterns, deviations, anomalies and relationships and reveal insight.
Artificial Intelligence and Machine Learning will have a profound effect in transforming healthcare and bridging the historical gap of information asymmetry between the healthcare ecosystem and people
As Digital and AI are now the new "buz word" vendors and consulting organizations use to advertise their services CIO must grow their understanding of how business capabilities can be transformed with the use of technology to improve efficiency and profitability across the value chain. This presentation addresses how CIOs must earn the respect of the business and be recognized as their Chief Digital Officer as well.
How to develop and govern a Technology Strategy in 10 weeksLeo Barella
This presentation covers the organizational layout, EA Services and EA Governance processes necessary to develop and govern a technology strategy effectively.
This article describes 10 Architecture Solution Design principles to help organization focus their solution architecture teams around simple but effective design criteria.
I believe in developing enterprise architecture principles as a foundation for the definition of solutions that meet the strategic needs of an organization. These principles don’t reference technology—instead, they drive tech- nology decisions.
If used correctly, these principles allow companies to avoid building the right solution the wrong way, or worse, building the wrong solution the right way.
The focus of this article is not the Design Principles of the Architecture but the Principles that guide Enterprise Architects.
These are principles that I shared with the Enterprise Architecture teams I led
The evolution of the Architecture of Enterprises (AKA Enterprise Architecture) Leo Barella
We are in the era of competitive advantage through smart information and analytics. Process automation and leveraging transactional systems is a "thing of the past". To advance organizations need to start designing their architecture leveraging microservices and focus on data management / analytics efficiency.
By leveraging Big Data, the healthcare industry has an incredible potential to improve lives. This session will give examples of how data volume, velocity and variety is transforming the “art” of a doctor to the science of care. It will describe how the use of machine learning and massive amount of data will drive the new Consumer Drive healthcare movement.
Business Value Measurements and the Solution Design FrameworkLeo Barella
The presentation covers a process and artifacts to establish better communication between business and IT and improve the quality and consistency of solutions. It also includes a tool to measure business value of the solutions that are being proposed and allows the business audience to make educated choices based on overall IT Business impact.
The presentation covers innovation strategies that have been implemented by different companies in different industries to disrupt the market and become leaders in their industries.
Global launch of the Healthy Ageing and Prevention Index 2nd wave – alongside...ILC- UK
The Healthy Ageing and Prevention Index is an online tool created by ILC that ranks countries on six metrics including, life span, health span, work span, income, environmental performance, and happiness. The Index helps us understand how well countries have adapted to longevity and inform decision makers on what must be done to maximise the economic benefits that comes with living well for longer.
Alongside the 77th World Health Assembly in Geneva on 28 May 2024, we launched the second version of our Index, allowing us to track progress and give new insights into what needs to be done to keep populations healthier for longer.
The speakers included:
Professor Orazio Schillaci, Minister of Health, Italy
Dr Hans Groth, Chairman of the Board, World Demographic & Ageing Forum
Professor Ilona Kickbusch, Founder and Chair, Global Health Centre, Geneva Graduate Institute and co-chair, World Health Summit Council
Dr Natasha Azzopardi Muscat, Director, Country Health Policies and Systems Division, World Health Organisation EURO
Dr Marta Lomazzi, Executive Manager, World Federation of Public Health Associations
Dr Shyam Bishen, Head, Centre for Health and Healthcare and Member of the Executive Committee, World Economic Forum
Dr Karin Tegmark Wisell, Director General, Public Health Agency of Sweden
R3 Stem Cells and Kidney Repair A New Horizon in Nephrology.pptxR3 Stem Cell
R3 Stem Cells and Kidney Repair: A New Horizon in Nephrology" explores groundbreaking advancements in the use of R3 stem cells for kidney disease treatment. This insightful piece delves into the potential of these cells to regenerate damaged kidney tissue, offering new hope for patients and reshaping the future of nephrology.
The dimensions of healthcare quality refer to various attributes or aspects that define the standard of healthcare services. These dimensions are used to evaluate, measure, and improve the quality of care provided to patients. A comprehensive understanding of these dimensions ensures that healthcare systems can address various aspects of patient care effectively and holistically. Dimensions of Healthcare Quality and Performance of care include the following; Appropriateness, Availability, Competence, Continuity, Effectiveness, Efficiency, Efficacy, Prevention, Respect and Care, Safety as well as Timeliness.
CHAPTER 1 SEMESTER V - ROLE OF PEADIATRIC NURSE.pdfSachin Sharma
Pediatric nurses play a vital role in the health and well-being of children. Their responsibilities are wide-ranging, and their objectives can be categorized into several key areas:
1. Direct Patient Care:
Objective: Provide comprehensive and compassionate care to infants, children, and adolescents in various healthcare settings (hospitals, clinics, etc.).
This includes tasks like:
Monitoring vital signs and physical condition.
Administering medications and treatments.
Performing procedures as directed by doctors.
Assisting with daily living activities (bathing, feeding).
Providing emotional support and pain management.
2. Health Promotion and Education:
Objective: Promote healthy behaviors and educate children, families, and communities about preventive healthcare.
This includes tasks like:
Administering vaccinations.
Providing education on nutrition, hygiene, and development.
Offering breastfeeding and childbirth support.
Counseling families on safety and injury prevention.
3. Collaboration and Advocacy:
Objective: Collaborate effectively with doctors, social workers, therapists, and other healthcare professionals to ensure coordinated care for children.
Objective: Advocate for the rights and best interests of their patients, especially when children cannot speak for themselves.
This includes tasks like:
Communicating effectively with healthcare teams.
Identifying and addressing potential risks to child welfare.
Educating families about their child's condition and treatment options.
4. Professional Development and Research:
Objective: Stay up-to-date on the latest advancements in pediatric healthcare through continuing education and research.
Objective: Contribute to improving the quality of care for children by participating in research initiatives.
This includes tasks like:
Attending workshops and conferences on pediatric nursing.
Participating in clinical trials related to child health.
Implementing evidence-based practices into their daily routines.
By fulfilling these objectives, pediatric nurses play a crucial role in ensuring the optimal health and well-being of children throughout all stages of their development.
Telehealth Psychology Building Trust with Clients.pptxThe Harvest Clinic
Telehealth psychology is a digital approach that offers psychological services and mental health care to clients remotely, using technologies like video conferencing, phone calls, text messaging, and mobile apps for communication.
The Importance of Community Nursing Care.pdfAD Healthcare
NDIS and Community 24/7 Nursing Care is a specific type of support that may be provided under the NDIS for individuals with complex medical needs who require ongoing nursing care in a community setting, such as their home or a supported accommodation facility.
Deep Leg Vein Thrombosis (DVT): Meaning, Causes, Symptoms, Treatment, and Mor...The Lifesciences Magazine
Deep Leg Vein Thrombosis occurs when a blood clot forms in one or more of the deep veins in the legs. These clots can impede blood flow, leading to severe complications.
One of the most developed cities of India, the city of Chennai is the capital of Tamilnadu and many people from different parts of India come here to earn their bread and butter. Being a metropolitan, the city is filled with towering building and beaches but the sad part as with almost every Indian city
4. $2.76 Trillion
(18%)
of U.S. GDP consumed by
health care spending
1 Billion
health-related apps will be
downloaded by the year 2016
$.5 Trillion
in avoidable costs with
medication adherence
Care Delivery Evolution Focus on the Individual Business Model Convergence
Buyers expect greater value,
improved quality and better
outcomes – at a more
affordable cost
Volumes of data create an
opportunity for deeper insight,
earlier intervention and
engagement
Demand to connect health
care and social services is
driving formation of new
partnerships
4
5. Enterprise Analytics and Big Data
Have Moved to Center Stage
BIG DATA ANALYTICS
Mobilizing and leveraging
an ecosystem of large
volumes of diverse data
(structured and
unstructured, internal and
external to the enterprise)
to extract hidden,
differentiated value.
The extensive use of data,
statistical and quantitative
analysis, explanatory and
predictive models and fact-
based management to
drive decisions & actions.
5
6. Big Data Categories
6
Web & Social
Media Data
Machine-to-
Machine Data
Big Transaction
Data
Biometric
Data
Human-
Generated Data
13. Strategies
• Implement a data governance framework
• Engage providers
• Foster competition and transparency
• Bake analytics into training
• Provide for flexibility in information transference
• When possible, choose in-house solutions over
vendor-generated solutions
• Create simple, understandable tools such as
dashboards for clinicians on the front lines to
visualize incoming data.
• Don’t scale up, scale out
• Close the quality loop
13