The Top 10 Tech Trends that affect health care organizations and providers. Includes organization considerations and optimum implementation timeline. (Source: Health Data Management)
The document outlines 10 top tech trends through 2015 according to Gartner and provides details on each trend such as why it is important, considerations for healthcare organizations, and an optimum implementation timeline. The trends include tablets, infinite data centers, resource management, mobility, hybrid clouds, fabric data centers, IT compatibility, big data, reducing service deals, and virtual-defined networks. Implementation timelines range from 2012-2014 for tablets to through 2015 for several trends such as resource management, hybrid clouds, fabric data centers, IT compatibility, and reducing service deals. Considerations for healthcare organizations focus on security, integration, utilization, footprint, energy management, and enabling productivity.
The Data Maze: Navigating the Complexities of Data GovernanceHealth Catalyst
Most organizations struggle to turn their data into a strategic asset. Oftentimes they lack the data they need, and don’t trust the data they have. This results in a struggle to surface meaningful opportunities, quantify the value of those opportunities, and transform insight into action. In this webinar, your host Tom Burton shares strategies for improving data literacy, ensuring data quality, and expanding data utilization.
This interactive, “choose your own adventure” style experience, allowed attendees to discover how investing in a deliberate, principle-based strategy can help them navigate the complexities of data governance and maximize the value of data for outcomes improvement.
View the webinar and learn:
- Demonstrate how to unleash data at your organization with efforts across the improvement spectrum.
- Recognize how to sustain and spread improvements across your entire organization.
- Illustrate the importance of investing in analytics training and infrastructure to prepare for massive improvement in healthcare outcomes.
- Understand the 5 key stages of the Data Life Cycle.
- Demonstrate strategies to overcome the common challenges around data quality, data utilization, and data literacy.
- Show how a data governance framework can accelerate improvement in clinical, cost, and experience outcomes.
Why Payers, Providers and Life Science/Pharma Must Join Forces to Achieve Tru...Health Catalyst
Is value-based care (VBC) the path to reducing the 18% of GDP that is spent on healthcare? It just may be, but all parties must play their part. Iya Khalil, chief commercial officer & co-founder at GNS Healthcare argues that in order for VBC to reach peak levels of performance and adoption, there must be a convergence of understanding between three key players: payers, providers and the life science industry.
These three parties have developed lifesaving innovations, tech-enabled new procedures, and advanced medical training that have all contributed over the last half century to push the US economy to spend an unsustainable amount on healthcare. Data and analytics are key to fixing this problem and are transforming the way that healthcare is delivered, however, VBC implementation remains complex. In this webinar Iya and Elia Stupka, SVP and general manager, life sciences business at Health Catalyst discuss how the healthcare industry reached this tipping point, why the move to VBC is so important, and how these parties can jointly work together to make healthcare sustainable.
View the webinar and learn:
- How you can make the move to VBC
- The importance of AI and data to drive VBC
VBC will happen and presents an unprecedented moment for payers, providers and life science groups to work together.
Cloud computing promises to fundamentally transform the global healthcare industry. But most healthcare providers have only just started to understand the power of cloud to not only drive efficiency, but also to redefine collaboration, partnering, and business models. The IBM Institute for Business Value point-of-view explores the opportunities and implications of cloud computing to help global healthcare companies meet new competitive pressures and ever-expanding consumer expectations.
The document discusses open data policies and the value of data. It outlines risks and challenges of open data like re-valuing data, ensuring data standards, and maintaining confidentiality. The document proposes initial training resources on topics like data quality, data collection methods, metadata, and archiving. It asks what capacities and skills researchers need to comply with open data policies and take advantage of them. Feedback on the training topics is requested.
Platforms and Partnerships: The Building Blocks for Digital InnovationHealth Catalyst
Virtually all service-oriented industries have experienced massive disruption and transformation, resulting from the confluence of digital, mobile, cloud, data, and consumerization. And then there’s healthcare…
In this webinar Ryan Smith, executive advisor at Health Catalyst, shares practical insights gained from his combined 25 years of IT and digital leadership roles at Banner Health and Intermountain Healthcare. He explores why our industry is struggling to provide the tools and self-service experiences that patients and consumers have come to expect in every other aspect of their lives. To attract and retain patients and members, healthcare organizations need to “shift gears” and go on the digital offensive to sustain brand loyalty; however, decades of siloed, monolithic approaches to implementing technology and managing data continue to hamper industry progress.
During this session, Ryan shares his approach for building business support to enable digital transformation.
By viewing this webinar, you will learn key digitization concepts:
- How to conceptualize a digital enablement framework.
- Ten strategic guiding principles for technology leaders.
- Why it’s vital to create business-driven technology governance.
- Why building strategic vendor partnerships really matters.
- How to apply case studies to bolster digital investments.
Cloud computing promises to fundamentally transform the global life sciences industry. But most life sciences organizations have only just started to understand the power of cloud to not only drive efficiency, but also to redefine collaboration, partnering, and business models.
Life sciences organizations are hungry for the capabilities that cloud can deliver, to meet new competitive pressures and ever-expanding consumer expectations.
This new IBM Institute for Business Value (IBV) Cloud point-of-view (POV) for the life sciences industry explores the opportunities and implications of cloud computing for global life sciences companies. It provides a roadmap to formulate and execute cloud strategies.
Importance of constant adaptation in the field of banking mis pptHelyxon Healthcare
Important existence of the co-efficient of progressive adaptability in the field of information systems with special focus on management information systems in the banking industry.
The document outlines 10 top tech trends through 2015 according to Gartner and provides details on each trend such as why it is important, considerations for healthcare organizations, and an optimum implementation timeline. The trends include tablets, infinite data centers, resource management, mobility, hybrid clouds, fabric data centers, IT compatibility, big data, reducing service deals, and virtual-defined networks. Implementation timelines range from 2012-2014 for tablets to through 2015 for several trends such as resource management, hybrid clouds, fabric data centers, IT compatibility, and reducing service deals. Considerations for healthcare organizations focus on security, integration, utilization, footprint, energy management, and enabling productivity.
The Data Maze: Navigating the Complexities of Data GovernanceHealth Catalyst
Most organizations struggle to turn their data into a strategic asset. Oftentimes they lack the data they need, and don’t trust the data they have. This results in a struggle to surface meaningful opportunities, quantify the value of those opportunities, and transform insight into action. In this webinar, your host Tom Burton shares strategies for improving data literacy, ensuring data quality, and expanding data utilization.
This interactive, “choose your own adventure” style experience, allowed attendees to discover how investing in a deliberate, principle-based strategy can help them navigate the complexities of data governance and maximize the value of data for outcomes improvement.
View the webinar and learn:
- Demonstrate how to unleash data at your organization with efforts across the improvement spectrum.
- Recognize how to sustain and spread improvements across your entire organization.
- Illustrate the importance of investing in analytics training and infrastructure to prepare for massive improvement in healthcare outcomes.
- Understand the 5 key stages of the Data Life Cycle.
- Demonstrate strategies to overcome the common challenges around data quality, data utilization, and data literacy.
- Show how a data governance framework can accelerate improvement in clinical, cost, and experience outcomes.
Why Payers, Providers and Life Science/Pharma Must Join Forces to Achieve Tru...Health Catalyst
Is value-based care (VBC) the path to reducing the 18% of GDP that is spent on healthcare? It just may be, but all parties must play their part. Iya Khalil, chief commercial officer & co-founder at GNS Healthcare argues that in order for VBC to reach peak levels of performance and adoption, there must be a convergence of understanding between three key players: payers, providers and the life science industry.
These three parties have developed lifesaving innovations, tech-enabled new procedures, and advanced medical training that have all contributed over the last half century to push the US economy to spend an unsustainable amount on healthcare. Data and analytics are key to fixing this problem and are transforming the way that healthcare is delivered, however, VBC implementation remains complex. In this webinar Iya and Elia Stupka, SVP and general manager, life sciences business at Health Catalyst discuss how the healthcare industry reached this tipping point, why the move to VBC is so important, and how these parties can jointly work together to make healthcare sustainable.
View the webinar and learn:
- How you can make the move to VBC
- The importance of AI and data to drive VBC
VBC will happen and presents an unprecedented moment for payers, providers and life science groups to work together.
Cloud computing promises to fundamentally transform the global healthcare industry. But most healthcare providers have only just started to understand the power of cloud to not only drive efficiency, but also to redefine collaboration, partnering, and business models. The IBM Institute for Business Value point-of-view explores the opportunities and implications of cloud computing to help global healthcare companies meet new competitive pressures and ever-expanding consumer expectations.
The document discusses open data policies and the value of data. It outlines risks and challenges of open data like re-valuing data, ensuring data standards, and maintaining confidentiality. The document proposes initial training resources on topics like data quality, data collection methods, metadata, and archiving. It asks what capacities and skills researchers need to comply with open data policies and take advantage of them. Feedback on the training topics is requested.
Platforms and Partnerships: The Building Blocks for Digital InnovationHealth Catalyst
Virtually all service-oriented industries have experienced massive disruption and transformation, resulting from the confluence of digital, mobile, cloud, data, and consumerization. And then there’s healthcare…
In this webinar Ryan Smith, executive advisor at Health Catalyst, shares practical insights gained from his combined 25 years of IT and digital leadership roles at Banner Health and Intermountain Healthcare. He explores why our industry is struggling to provide the tools and self-service experiences that patients and consumers have come to expect in every other aspect of their lives. To attract and retain patients and members, healthcare organizations need to “shift gears” and go on the digital offensive to sustain brand loyalty; however, decades of siloed, monolithic approaches to implementing technology and managing data continue to hamper industry progress.
During this session, Ryan shares his approach for building business support to enable digital transformation.
By viewing this webinar, you will learn key digitization concepts:
- How to conceptualize a digital enablement framework.
- Ten strategic guiding principles for technology leaders.
- Why it’s vital to create business-driven technology governance.
- Why building strategic vendor partnerships really matters.
- How to apply case studies to bolster digital investments.
Cloud computing promises to fundamentally transform the global life sciences industry. But most life sciences organizations have only just started to understand the power of cloud to not only drive efficiency, but also to redefine collaboration, partnering, and business models.
Life sciences organizations are hungry for the capabilities that cloud can deliver, to meet new competitive pressures and ever-expanding consumer expectations.
This new IBM Institute for Business Value (IBV) Cloud point-of-view (POV) for the life sciences industry explores the opportunities and implications of cloud computing for global life sciences companies. It provides a roadmap to formulate and execute cloud strategies.
Importance of constant adaptation in the field of banking mis pptHelyxon Healthcare
Important existence of the co-efficient of progressive adaptability in the field of information systems with special focus on management information systems in the banking industry.
Bundled Payment Changes: Learn What’s New and How to SucceedHealth Catalyst
In January, CMS announced the Bundled Payment for Care Improvement Advanced “BPCI Advanced” program, initiating renewed interest in a total cost of care payment model for specific episodes of care. Regardless of your organization’s current decision to participate, it’s important to understand how bundled payment programs have the ability to significantly decrease your internal costs, broaden your revenue opportunities, and improve patient outcomes across specific populations. The Center for Medicare and Medicaid Innovation’s newest iteration of bundled payments provides another tightly-defined program that allows organizations to scale Population Health Management. Best practice suggests that tactical interventions to assess clinical variation, implement strategic care redesign programs, and to adjust care management-facilitated patient stratification models are important to be successful with bundled payments – so knowing how to implement them is crucial. One organization’s savings is another’s income and without making overhead allocation changes, bundled payments may reduce revenue that has been critically important to maintain hospital profitability. Join this webinar to learn:
* What is new with bundled payments.
* The ramifications bundles can have across organizations.
* Leveraging data and strategic analysis to identify opportunities for bundled payment success.
* Operationalizing successful care program tactics to be successful in bundled payment contracts.
Sabre: Mastering a strong foundation for operational excellence and enhanced ...Orchestra Networks
1. Sabre implemented a master data management program to establish a single authoritative source of trusted master reference data across the enterprise. This would improve data quality, consistency, and access for analytics.
2. The program addressed issues like a lack of data governance and standards by defining roles and processes for data stewardship, developing master data standards, and implementing tools for data management.
3. Having consistent master data available across contexts improves analytics by ensuring accurate business metrics and reports, eliminating data synchronization issues, and allowing data scientists easy access to trusted data.
The Data Operating System: Changing the Digital Trajectory of HealthcareDale Sanders
This is the next evolution in health information exchanges and data warehouses, specifically designed to support analytics, transaction processing, and third party application development, in one platform, the Data Operating System.
Revolution In Data Governance - Transforming the customer experiencePaul Dyksterhouse
The foundation of managing data security and big data is implementing data governance. Data Owners, Metadata tagging, Customer feedback and Continuous Improvement are critical facets to provide the transparency and consistency so that customer's can trust the data, and make informed decisions.
This document discusses data democratization in healthcare imaging. It describes the challenges facing healthcare like declining inpatient volumes and the need for better patient experiences. It advocates empowering physicians and patients with data-driven insights to enhance decision making centered around patients. Data democratization is defined as lowering barriers to comprehensive, consistent and reliable healthcare data for all stakeholders. Achieving it requires business model innovation, developing an open ecosystem through community innovation, and technology innovation to provide secure access to standardized data. The benefits include making data actionable to focus on outcomes, value and better patient experiences.
This resume summarizes Leema Mphuthi's education and work experience in risk management, intelligence analysis, and data analysis. She has obtained several diplomas and certificates related to money laundering control, strategic intelligence analysis, database management, and project management. Her work experience includes positions at the Financial Intelligence Centre as an information analyst and data analyst, and at Edcon Group as a regional manager focusing on operational and risk management. Her roles have involved financial information analysis, data analysis, risk assessment, and business intelligence.
Data and analytics strategy PUBLIC - ADHB 2021Ali Khan
The document provides an executive summary of the Data & Analytics Strategy for Auckland District Health Board (ADHB). It discusses four key areas: 1) unleashing their data through a new "DataOps" delivery model focused on self-service and automation, 2) changing their operating model, information architecture, and delivery ecosystem to embed cost-effectiveness, 3) enabling self-service data innovation for front-line staff through safe environments, and 4) leveraging their data to meet diverse business needs through a "build once, use many" approach. The strategy aims to unlock value in data and empower their "citizen workforce" to build insights.
A Reference Architecture for Digital Health: The Health Catalyst Data Operati...Health Catalyst
The document discusses Health Catalyst's Data Operating System (DOSTM) which is a digital health platform designed to integrate data from over 300 different sources and support analytics, clinical workflows, and data interoperability/portability. The DOSTM aims to provide a single consistent platform for healthcare data to enable improved analytics, reduce total cost of ownership compared to disparate systems, and advance the vision of a comprehensive digital understanding of patient health. The document outlines some of the strategic options and challenges for building a healthcare digital platform at this scale and discusses how the DOSTM addresses these challenges through its design and capabilities.
Webinar: Getting Your EHS Data Off the GroundUrjanet
Accessing utility data is a crucial step towards achieving insight into your operations, managing and measuring your sustainability targets, and reducing costs.
Data access alone, however, is not enough. It’s key to understand how best to manage, review, and report on your data from start to finish.
In this webinar, Urjanet and SustainIt share the best practices you should follow, from initial planning to final execution, to ensure your EHS data is ready for liftoff.
To learn more about the topics discussed in this webinar, visit https://urjanet.com.
The document discusses open data in clinical research and how it relates to big data. It notes that open data means data that can be analyzed and used by anyone through linkages and evidence-based applications. The document outlines key principles for open data, including clarity of use, data quality, and managing data reuse. It describes benefits like crowd-sourcing analysis, data linkage insights, and improved data quality. Finally, it summarizes that for clinical research, open data is a way to securely analyze and apply insights from big data.
Why Healthcare Costing Matters to Enable Strategy and Financial PerformanceHealth Catalyst
According to Moody’s Investment Service Analysis, not-for-profit hospital margins are at an all-time low of 1.6% while the American Hospital Association has found that 30% of all hospitals have negative margins. Financial pressures are continuing to increase in an environment of rising costs, lower payments, an aging population, higher patient responsibility and changing consumer demands. Now more than ever healthcare providers need to have an accurate picture of their costing information to enable precise, strategic decisions that will improve financial performance.
Activity-based costing has the power to do just that. In this webinar Steve Vance, SVP, Professional Services, Health Catalyst explores different costing methodologies and discusses why activity-based costing is the preferable method to manage margins because it directly ties services to their costs. Many healthcare organizations base their costs on generalized drivers such as relative value units (RVUs) through their chargemaster rather than on specific activities associated with their services, leading to inaccurate assumptions and poor decisions.
View this webinar to learn:
- Why activity-based costing should be your core tool for improving financial performance.
- The differences and implications between costing methodologies.
- How to leverage data from an Electronic Data Warehouse (EDW) and automate processes while improving accuracy.
- Ways that you can make strategic decisions using clinical and operational data when tied to costing data.
- Activity-based costing use cases such as contract negotiations, pricing decisions, population health management (PHM), and process improvement efforts
We hope that you will view the webinar and learn from the depth and breadth of Steve’s extensive financial experience.
This document discusses how new trends in technology are changing business needs and placing new demands on IT infrastructure. Mobile, social, cloud, big data and analytics are driving more dynamic workloads and the need for more agile and efficient IT environments. This is requiring infrastructure that is scalable, flexible, reliable, secure and manageable. The document argues that composable infrastructure solutions enabled by cloud help meet these new demands, allowing infrastructure to be more real-time, agile, efficient and open. It provides examples of how IBM solutions for storage, servers, software defined infrastructure and cognitive systems address these infrastructure challenges.
Improving practitioner decision making capabilities with data and analytics v1Ali Khan
This document discusses improving practitioner decision making through data and analytics at Auckland District Health Board (ADHB). It outlines Ali Khan's role as Data & Analytics Director and responsibilities at ADHB. It then discusses how ADHB is starting to use previously inaccessible data by applying new technologies to gain better clinical and operational insights. Finally, it proposes a self-service analytics model to enable business users to safely access and use their data to build new insights and drive innovation.
Mergers, acquisitions, and partnerships dramatically reducing it consolidati...Health Catalyst
1. A Data Operating System (DOS) sits on top of a healthcare organization's integrated data lake and provides reusable clinical and business logic, streaming data capabilities, and machine learning tools to enable rapid application development using the organization's data.
2. Implementing a DOS for IT integration after a merger or acquisition costs a fraction of the traditional approach of replacing electronic health record and enterprise resource planning systems.
3. Focusing on quickly integrating data through a DOS, rather than replacing applications, is a better IT strategy for maximizing value from mergers and acquisitions in the long run.
Global data will grow exponentially from 7.9 zetabytes in 2015 to 40 zetabytes in 2020. Currently, it costs $5 million per year to store and manage just 1 petabyte of enterprise information. Data scientists spend 80% of their time preparing raw data for analysis rather than delivering business insights. Professional services can help bridge the gap between current technology capabilities and needed information availability and business resiliency by properly designing, deploying, and optimizing information management environments.
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.
TDWI Boston Keynote - The New BI/Analytics Synergy - 7 30-2015 - tdwi keynoteEckerson Group
To stay relevant in a fast-changing business and data environment, business and analytics leaders need to recognize that their teams are no longer the center of the data universe. They need to reach out and partner with other data analytics players in the organization and create a shared vision for the future. The new business analytics leader fosters a rich analytical ecosystem of people, processes and technologies that fuels a data-driven organization.
You Will Learn:
- How the data world has changed and why
- The cyclical nature of power in the data world
- Characteristics of the new analytical ecosystem
- The role of BI leaders and teams in the new world order
More than 60% of providers struggle to derive optimal value from their EHRs and 85% believe consumer self-pay will continue to impact their organizations, according to an annual HFMA/Navigant survey of 108 provider CFOs and revenue cycle executives.
Moving to the Cloud: Modernizing Data Architecture in HealthcarePerficient, Inc.
The document discusses moving healthcare data architecture to the cloud. It describes a large health system that implemented an enterprise data warehouse (EDW) on the cloud to provide cost savings and flexibility. This consolidated multiple clinical repositories and reduced infrastructure costs. It also describes an academic health center that integrated patient records across its organizations using a cloud-based EDW. This improved analytics and reduced operating costs by 50% while improving patient care. Both organizations benefited from the scalability, cost savings and innovation the cloud enabled for their clinical analytics and research.
Connected Healthcare - New PerspectiveSomenath Nag
An IDC source says, the healthcare industry is one of the highest-ranked industries for year-over-year growth and five-year compound annual growth rates with a worldwide average of 7.0% growth for FY12 in software.
There has been a significant investment in the form of health modernization and stimulus funding to leverage technology to cut down rising healthcare costs.
This presentation discusses the concepts of connected healthcare and how it will change the Healthcare Industry.
Bundled Payment Changes: Learn What’s New and How to SucceedHealth Catalyst
In January, CMS announced the Bundled Payment for Care Improvement Advanced “BPCI Advanced” program, initiating renewed interest in a total cost of care payment model for specific episodes of care. Regardless of your organization’s current decision to participate, it’s important to understand how bundled payment programs have the ability to significantly decrease your internal costs, broaden your revenue opportunities, and improve patient outcomes across specific populations. The Center for Medicare and Medicaid Innovation’s newest iteration of bundled payments provides another tightly-defined program that allows organizations to scale Population Health Management. Best practice suggests that tactical interventions to assess clinical variation, implement strategic care redesign programs, and to adjust care management-facilitated patient stratification models are important to be successful with bundled payments – so knowing how to implement them is crucial. One organization’s savings is another’s income and without making overhead allocation changes, bundled payments may reduce revenue that has been critically important to maintain hospital profitability. Join this webinar to learn:
* What is new with bundled payments.
* The ramifications bundles can have across organizations.
* Leveraging data and strategic analysis to identify opportunities for bundled payment success.
* Operationalizing successful care program tactics to be successful in bundled payment contracts.
Sabre: Mastering a strong foundation for operational excellence and enhanced ...Orchestra Networks
1. Sabre implemented a master data management program to establish a single authoritative source of trusted master reference data across the enterprise. This would improve data quality, consistency, and access for analytics.
2. The program addressed issues like a lack of data governance and standards by defining roles and processes for data stewardship, developing master data standards, and implementing tools for data management.
3. Having consistent master data available across contexts improves analytics by ensuring accurate business metrics and reports, eliminating data synchronization issues, and allowing data scientists easy access to trusted data.
The Data Operating System: Changing the Digital Trajectory of HealthcareDale Sanders
This is the next evolution in health information exchanges and data warehouses, specifically designed to support analytics, transaction processing, and third party application development, in one platform, the Data Operating System.
Revolution In Data Governance - Transforming the customer experiencePaul Dyksterhouse
The foundation of managing data security and big data is implementing data governance. Data Owners, Metadata tagging, Customer feedback and Continuous Improvement are critical facets to provide the transparency and consistency so that customer's can trust the data, and make informed decisions.
This document discusses data democratization in healthcare imaging. It describes the challenges facing healthcare like declining inpatient volumes and the need for better patient experiences. It advocates empowering physicians and patients with data-driven insights to enhance decision making centered around patients. Data democratization is defined as lowering barriers to comprehensive, consistent and reliable healthcare data for all stakeholders. Achieving it requires business model innovation, developing an open ecosystem through community innovation, and technology innovation to provide secure access to standardized data. The benefits include making data actionable to focus on outcomes, value and better patient experiences.
This resume summarizes Leema Mphuthi's education and work experience in risk management, intelligence analysis, and data analysis. She has obtained several diplomas and certificates related to money laundering control, strategic intelligence analysis, database management, and project management. Her work experience includes positions at the Financial Intelligence Centre as an information analyst and data analyst, and at Edcon Group as a regional manager focusing on operational and risk management. Her roles have involved financial information analysis, data analysis, risk assessment, and business intelligence.
Data and analytics strategy PUBLIC - ADHB 2021Ali Khan
The document provides an executive summary of the Data & Analytics Strategy for Auckland District Health Board (ADHB). It discusses four key areas: 1) unleashing their data through a new "DataOps" delivery model focused on self-service and automation, 2) changing their operating model, information architecture, and delivery ecosystem to embed cost-effectiveness, 3) enabling self-service data innovation for front-line staff through safe environments, and 4) leveraging their data to meet diverse business needs through a "build once, use many" approach. The strategy aims to unlock value in data and empower their "citizen workforce" to build insights.
A Reference Architecture for Digital Health: The Health Catalyst Data Operati...Health Catalyst
The document discusses Health Catalyst's Data Operating System (DOSTM) which is a digital health platform designed to integrate data from over 300 different sources and support analytics, clinical workflows, and data interoperability/portability. The DOSTM aims to provide a single consistent platform for healthcare data to enable improved analytics, reduce total cost of ownership compared to disparate systems, and advance the vision of a comprehensive digital understanding of patient health. The document outlines some of the strategic options and challenges for building a healthcare digital platform at this scale and discusses how the DOSTM addresses these challenges through its design and capabilities.
Webinar: Getting Your EHS Data Off the GroundUrjanet
Accessing utility data is a crucial step towards achieving insight into your operations, managing and measuring your sustainability targets, and reducing costs.
Data access alone, however, is not enough. It’s key to understand how best to manage, review, and report on your data from start to finish.
In this webinar, Urjanet and SustainIt share the best practices you should follow, from initial planning to final execution, to ensure your EHS data is ready for liftoff.
To learn more about the topics discussed in this webinar, visit https://urjanet.com.
The document discusses open data in clinical research and how it relates to big data. It notes that open data means data that can be analyzed and used by anyone through linkages and evidence-based applications. The document outlines key principles for open data, including clarity of use, data quality, and managing data reuse. It describes benefits like crowd-sourcing analysis, data linkage insights, and improved data quality. Finally, it summarizes that for clinical research, open data is a way to securely analyze and apply insights from big data.
Why Healthcare Costing Matters to Enable Strategy and Financial PerformanceHealth Catalyst
According to Moody’s Investment Service Analysis, not-for-profit hospital margins are at an all-time low of 1.6% while the American Hospital Association has found that 30% of all hospitals have negative margins. Financial pressures are continuing to increase in an environment of rising costs, lower payments, an aging population, higher patient responsibility and changing consumer demands. Now more than ever healthcare providers need to have an accurate picture of their costing information to enable precise, strategic decisions that will improve financial performance.
Activity-based costing has the power to do just that. In this webinar Steve Vance, SVP, Professional Services, Health Catalyst explores different costing methodologies and discusses why activity-based costing is the preferable method to manage margins because it directly ties services to their costs. Many healthcare organizations base their costs on generalized drivers such as relative value units (RVUs) through their chargemaster rather than on specific activities associated with their services, leading to inaccurate assumptions and poor decisions.
View this webinar to learn:
- Why activity-based costing should be your core tool for improving financial performance.
- The differences and implications between costing methodologies.
- How to leverage data from an Electronic Data Warehouse (EDW) and automate processes while improving accuracy.
- Ways that you can make strategic decisions using clinical and operational data when tied to costing data.
- Activity-based costing use cases such as contract negotiations, pricing decisions, population health management (PHM), and process improvement efforts
We hope that you will view the webinar and learn from the depth and breadth of Steve’s extensive financial experience.
This document discusses how new trends in technology are changing business needs and placing new demands on IT infrastructure. Mobile, social, cloud, big data and analytics are driving more dynamic workloads and the need for more agile and efficient IT environments. This is requiring infrastructure that is scalable, flexible, reliable, secure and manageable. The document argues that composable infrastructure solutions enabled by cloud help meet these new demands, allowing infrastructure to be more real-time, agile, efficient and open. It provides examples of how IBM solutions for storage, servers, software defined infrastructure and cognitive systems address these infrastructure challenges.
Improving practitioner decision making capabilities with data and analytics v1Ali Khan
This document discusses improving practitioner decision making through data and analytics at Auckland District Health Board (ADHB). It outlines Ali Khan's role as Data & Analytics Director and responsibilities at ADHB. It then discusses how ADHB is starting to use previously inaccessible data by applying new technologies to gain better clinical and operational insights. Finally, it proposes a self-service analytics model to enable business users to safely access and use their data to build new insights and drive innovation.
Mergers, acquisitions, and partnerships dramatically reducing it consolidati...Health Catalyst
1. A Data Operating System (DOS) sits on top of a healthcare organization's integrated data lake and provides reusable clinical and business logic, streaming data capabilities, and machine learning tools to enable rapid application development using the organization's data.
2. Implementing a DOS for IT integration after a merger or acquisition costs a fraction of the traditional approach of replacing electronic health record and enterprise resource planning systems.
3. Focusing on quickly integrating data through a DOS, rather than replacing applications, is a better IT strategy for maximizing value from mergers and acquisitions in the long run.
Global data will grow exponentially from 7.9 zetabytes in 2015 to 40 zetabytes in 2020. Currently, it costs $5 million per year to store and manage just 1 petabyte of enterprise information. Data scientists spend 80% of their time preparing raw data for analysis rather than delivering business insights. Professional services can help bridge the gap between current technology capabilities and needed information availability and business resiliency by properly designing, deploying, and optimizing information management environments.
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.
TDWI Boston Keynote - The New BI/Analytics Synergy - 7 30-2015 - tdwi keynoteEckerson Group
To stay relevant in a fast-changing business and data environment, business and analytics leaders need to recognize that their teams are no longer the center of the data universe. They need to reach out and partner with other data analytics players in the organization and create a shared vision for the future. The new business analytics leader fosters a rich analytical ecosystem of people, processes and technologies that fuels a data-driven organization.
You Will Learn:
- How the data world has changed and why
- The cyclical nature of power in the data world
- Characteristics of the new analytical ecosystem
- The role of BI leaders and teams in the new world order
More than 60% of providers struggle to derive optimal value from their EHRs and 85% believe consumer self-pay will continue to impact their organizations, according to an annual HFMA/Navigant survey of 108 provider CFOs and revenue cycle executives.
Moving to the Cloud: Modernizing Data Architecture in HealthcarePerficient, Inc.
The document discusses moving healthcare data architecture to the cloud. It describes a large health system that implemented an enterprise data warehouse (EDW) on the cloud to provide cost savings and flexibility. This consolidated multiple clinical repositories and reduced infrastructure costs. It also describes an academic health center that integrated patient records across its organizations using a cloud-based EDW. This improved analytics and reduced operating costs by 50% while improving patient care. Both organizations benefited from the scalability, cost savings and innovation the cloud enabled for their clinical analytics and research.
Connected Healthcare - New PerspectiveSomenath Nag
An IDC source says, the healthcare industry is one of the highest-ranked industries for year-over-year growth and five-year compound annual growth rates with a worldwide average of 7.0% growth for FY12 in software.
There has been a significant investment in the form of health modernization and stimulus funding to leverage technology to cut down rising healthcare costs.
This presentation discusses the concepts of connected healthcare and how it will change the Healthcare Industry.
How Intelligent Operations Enables Proactive Data Center ManagementITOutcomes
This document discusses how intelligent operations with VMware vSphere and vSphere with Operations Management can enable proactive data center management and help IT transform into a strategic partner for businesses. It outlines three strategic imperatives for IT: 1) quickly and flexibly serve business needs, 2) ensure high performance and availability, and 3) act as a strategic partner rather than cost center. vSphere with Operations Management provides intelligent operations, consistent management, automation and control, and tangible results that help IT achieve these imperatives and transformation.
How Evolven Blended Analytics Is Helping to Transform IT Efficiency and ValueEvolven Software
This report will examine more closely how and why blended analytics adds value. It will also introduce Evolven’s distinctive analytics capability in context with a deployment interview showing strong benefits in change, performance, and in particular, in facilitating a DevOps initiative through superior levels of insight and automation.
Peter Rasmussen, MD, Medical Director for Distance Health at Cleveland Clinic and Paddy Padmanabhan, CEO Damo Consulting Inc. shared 'Digitally Transforming Patient and Caregiver Experiences' at HIMSS 2019 on Feb 15th at Session 309. The session described the key elements of an enterprise digital transformation strategy, Illustrated success in digital transformation with the Distance Health program (Cleveland Clinic’s Telehealth Program), and discussed the key learnings from the ongoing digital transformation at the Cleveland Clinic
A Case Study of the
Auckland District Health Board
Information Management and Technology Service
Johan Vendrig, Chief Information Officer
HINZ Conference Rotorua - October 2007
Solving the Data Management Challenge for HealthcareDelphix
Need a proven blueprint to fast-track application development in your healthcare organization? With triple-digit growth, 3,000+ databases and over a petabyte of data, Molina Healthcare needed a way to accelerate application development and drive digital transformation.
Success meant slashing time to provision new dev and test environments in half, putting self-service data access in the hands of application teams―and doing it all without taking an eye off data security and HIPAA compliance.
A Data-driven Maturity Model for Modernized, Automated, and Transformed ITbalejandre
This document presents a research-based maturity model for measuring organizations' progress in IT transformation. The model segments organizations into four levels of maturity based on surveys of 1,000 IT executives about their infrastructure, processes, and relationships. Only a small percentage have achieved the highest levels of modernized infrastructure, automated processes, and business-IT alignment needed for digital transformation. Higher maturity is correlated with improved agility, efficiency, innovation funding, and business outcomes. Adopting modern data center technologies, automated processes, and DevOps practices can help organizations progress to more mature states.
The overwhelming challenges of IT infrastructure managementNIIT Technologies
CIOs are now looking at IT infrastructure management as a mean to drive business transformation. To transform the way businesses work, CIOs need responsive systems and processes to bridge the gap between operations and business. With this understanding, IT leaders need to align IT with business and manage IT infrastructure as a service model. This paper surveys the challenges service providers face in managing IT infrastructures. It also lists down solutions for the effective management of IT infrastructures.
8 must haves for modern Clinical Data IntegrationCitiusTech
Clinical data integration platforms allow payers to unify patient data from various silos to better understand population health trends and costs. They feature modular architectures that scale to handle large, diverse data lakes while maintaining data quality. Real-time streaming analytics and strong security are also important to support value-based care models and precision medicine through accurate, shared insights. Successful clinical data integration requires aligning goals, assessing needs, implementing holistic technology and process solutions, and managing ongoing change.
The document discusses the increasing adoption of cloud computing in the healthcare industry globally and in India. It provides an overview of the three waves of IT adoption in healthcare since the 1950s. Healthcare organizations are now shifting to cloud-based platforms to improve information sharing and make IT resources more cost-effective. The case study of Nova Medical Center shows how a large healthcare provider in India has benefited from adopting cloud computing, such as reducing costs by 20-25% while expanding its services. Cloud computing can provide benefits to the healthcare industry like lower costs, faster innovation, expertise in IT resources, improved compliance and security, and better disaster recovery and mobility. However, security concerns remain a challenge for healthcare organizations in India adopting cloud solutions.
Achieving Operational Efficiency and Effectiveness with Digital Transformatio...Appian
This document discusses how digital transformation can help achieve operational efficiency and effectiveness in healthcare payers. It describes how legacy systems, manual processes, and rising costs are driving the need for digital transformation. New approaches like workflow automation, integrating clinical and financial data on new software platforms, and low-code application development can help drive cost savings and efficiencies. However, two-thirds of digital transformations fail due to barriers like outdated culture and skills in IT organizations. The document advocates using a low-code platform approach to accelerate digital transformation across various functions like provider data management, utilization review, and claims modernization.
Iscope Digital : Integrated IT Service ManagementIscope Digital
This document summarizes the journey of Intermountain Healthcare in implementing an integrated IT service management strategy based on ITIL principles. Key steps included obtaining executive support, training over 1,200 employees in ITIL foundations, consolidating service management tools, establishing a service management organization and change advisory board, and integrating service management with project and infrastructure teams. The implementation improved standardization, transparency, and efficiency while decreasing request times and resolution times through formal processes, knowledge management, and enterprise monitoring.
Data-driven decisions for healthcare - Unleash Enterprise Innovation3Capgemini
With HP Converged System for Microsoft APS, Power BI and Sogeti, you can easily get started visualizing, modeling and reporting data insights for the healthcare industry through what we call the Unleash Enterprise Innovation3 solution. Learn how your organization can easily unite your relational inpatient and outpatient data with non-relational data from public sources and social media, allowing you to capture and analyze the data that will effectively impact your decision-making processes.
HP & Sogeti Healthcare Big Data Presentation for Discover 2015Robert LeRoy
This document discusses a partnership between Hewlett-Packard, Microsoft, and Sogeti to provide data-driven solutions for healthcare. It introduces Indranil Sarkar and Bob LeRoy, leaders from Sogeti and HP Alliance, and describes their experience. It also outlines Sogeti's global presence and capabilities in consulting. The document then discusses trends in healthcare IT, potential solutions around areas like patient engagement and analytics, and how those map to the healthcare value chain. It introduces HP's Analytics Platform System for handling large datasets and provides an example healthcare analytics demo using this platform with PowerBI.
The document summarizes the results of a survey of 100 IT leaders in Sweden about challenges with combining agile development methodologies and IT service management frameworks. Key findings include:
- Many companies face issues with misalignment between development and operations teams and processes like change management.
- Successful companies focus on collaboration, communication, and including all teams in end-to-end delivery rather than focusing internally on methods.
- There is a perceived gap between IT operations and business needs that impacts time to market and quality when agile methods are adopted without including operations.
Using MDM to Lay the Foundation for Big Data and Analytics in HealthcarePerficient, Inc.
This document discusses using master data management (MDM) to help healthcare organizations leverage big data and analytics. It begins with an agenda for the presentation and then discusses the market forces driving changes in healthcare. It describes how MDM can help integrate diverse healthcare data sources and provide a single view of important master data domains like patients, providers, facilities, etc. The presentation includes a case study of how one healthcare organization implemented MDM and realized benefits like improved data quality and more streamlined processes. It concludes that MDM is key to making external, untrusted big data usable for organizations in real-time.
Analytics in the Cloud and the ROI for B2BVeronica Kirn
Veronica Kirn Global Market Manager presents the shift in Analytics with Jeannine Calandra providing in depth product specifics for B2B Services Reporting & Analytics. This was presented at the InterConnect event in Las Vegas, NV for Technology professionals interesting in addressing their Business to Business (B2B) need for turning data into insight.
Engage Patients, Reduce Manual Processes and Drive Key Insights with Interope...Perficient, Inc.
This document discusses healthcare interoperability and integration best practices. It provides examples of Perficient implementing interoperability solutions for clients using IBM Integration Bus and the Healthcare Connectivity Pack. These solutions helped migrate interfaces, improve data sharing and application integration, and increase visibility into data flows. The document also outlines trends in healthcare driving the need for interoperability.
Similar to Gartner's Top 10 Tech Trends through 2015 (20)
Do you know everything you need to know about Medicaid's Meaningful Use program? Watch this video to learn more about Meaningful Use's eligibility, registration and timeline.
Accountable Care Organizations: 4 Physician BenefitsGreenway Health
Why would physicians join an Accountable Care Oragnization (ACO)? This informative slide presentation gives a brief overview of ACOs, their benefits, and four reasons physicians may have for joining one.
The Marketplace - Insurance Exchanges and ProvidersGreenway Health
Exploring coverage options through the Marketplace a/k/a Health Insurance Exchange (HIX) is among a growing lexicon of terms for governmental and insurance stakeholders. Intended to provide the consumer with an intuitive way to shop coverage with built-in protections, HIX open enrollment launches Oct. 1, 2013 and offers assistance with coverage choices and comparisons, calculation of costs, and education on public program options. Some HIXs will be run by state governments while others will be administered wholly or in partnership with the federal government. Explore the four exchange tiers, what constitutes "essential benefits" and "essential community providers," the role consumer assistants such as navigators in facilitating coverage for each American, and what providers and practices should be doing today to prepare. Review the basic functions of the HIX and the available subsidies for individuals and families. Regulations on Medicaid eligibility expansion will also be covered, as well as the impact on adult coverage and the future HIX milestones.
Source: Webinar presented August 28, 2013 by Adele Allison, National Director of Government Affairs for SuccessEHS
6 Tips to Leverage EHR Patient Data EffectivelyGreenway Health
If you have an EHR and practice management system, you have a very valuable asset at your fingertips: patient level health data. This presentation covers six practical ways your organization can use the data you already have to improve financial and clinical practice performance and position for coming value-based reimbursement.
The document discusses several challenges organizations will face when implementing ICD-10 codes, including expense of the transition, vendor readiness, impact on productivity, cash flow impact, and the importance of testing systems before the deadline. It provides recommendations to conduct an impact assessment and budget accordingly, evaluate vendor preparedness, improve documentation practices to minimize coding errors, and plan strategies to manage potential denials and disruptions to cash flow during the transition period.
This document outlines the 4 steps to getting started with PQRS reporting:
1) Determine eligibility based on providing Medicare-covered services
2) Choose a reporting method such as claims, registry, EHR, or group practice based on factors like costs, EHR, risk, and meaningful use participation
3) Select measures to report from available options depending on reporting method
4) Report selected measures via the chosen method during the specified reporting period and process
How much money have the Meaningful Use Incentive Programs paid so far? Which states are the biggest adopters of new health care technology and which ones are behind? Discover the total amount providers, hospitals and eligible professionals are getting paid in Medicare and Medicaid incentives.
How many moustaches are present in the newly minted 113th Congress? What percentage of women comprise the Senate? Discover the answers and many interesting facts in this slideshow about our U.S. representatives.
Recently, a study published in the Journal of the American Dental Association shows a growing trend among U.S. dentists to incorporate EDR technology into their practice. Learn about how technology adoption has changed over the last decade among dentists, as well as how they are using the technology in their practices.
Patient Engagement & the Matrix: How plugged in are we?Greenway Health
Americans are plugged in to "the Matrix" more than ever. Read about the digital and mobile habits of the American patient and how this has crossed over into health care.
What's the difference between fraud, waste and abuse when it comes to health care? What is the government doing to prevent fraud, waste and abuse from happening? Learn the definitions and differences in these legal terms and how CMS has worked to prevent these from happening since its inception in 1965.
Meaningful Use measures can be categorized into four distinct "buckets." Adele Allison, National Director of Government Affairs at SuccessEHS, defines the four different marks of Meaningful Use and the health IT goals that go along with each one. She also presents which categories are going to be significant moving forward into Stage 2, as well as how the categories will impact providers and reimbursement reform.
Medicaid Incentive Payouts and Stage 2 Meaningful UseGreenway Health
Adele Allison, National Director of Government Affairs at SuccessEHS, explains the details and deadlines providers need to know for Medicaid Meaningful Use. She highlights the incentive payouts for meeting Stage One, as well as the changes Stage 2 brings for both Medicare and Medicaid.
For a copy of the Medicaid Timeline, visit our blog: info.successehs.com/blog
How will Medicare pay providers who successfully attest to Meaningful Use? This slideshow highlights the timeline and details of Medicare incentive payouts. To view, print or download a copy of the timeline, visit our blog at http://info.successehs.com/blog/
Meaningful Use Stages 1 and 2 Objectives and MeasuresGreenway Health
The document outlines the objectives and measures for Stages 1 and 2 of the Meaningful Use Incentive Program. Stage 1 involved meeting 15 core measures and 5 additional menu measures out of 10 options, with 13 possible exclusion clauses. Stage 2 raised the core measures to 17 and menu options to 3 out of 6, allowing 20 exclusion clauses. The objectives define broad goals while measures specify required tasks, and providers must meet both to achieve meaningful use. The program applies to both primary and specialty care providers through exclusion clauses for inapplicable measures.
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AIVladimir Iglovikov, Ph.D.
Presented by Vladimir Iglovikov:
- https://www.linkedin.com/in/iglovikov/
- https://x.com/viglovikov
- https://www.instagram.com/ternaus/
This presentation delves into the journey of Albumentations.ai, a highly successful open-source library for data augmentation.
Created out of a necessity for superior performance in Kaggle competitions, Albumentations has grown to become a widely used tool among data scientists and machine learning practitioners.
This case study covers various aspects, including:
People: The contributors and community that have supported Albumentations.
Metrics: The success indicators such as downloads, daily active users, GitHub stars, and financial contributions.
Challenges: The hurdles in monetizing open-source projects and measuring user engagement.
Development Practices: Best practices for creating, maintaining, and scaling open-source libraries, including code hygiene, CI/CD, and fast iteration.
Community Building: Strategies for making adoption easy, iterating quickly, and fostering a vibrant, engaged community.
Marketing: Both online and offline marketing tactics, focusing on real, impactful interactions and collaborations.
Mental Health: Maintaining balance and not feeling pressured by user demands.
Key insights include the importance of automation, making the adoption process seamless, and leveraging offline interactions for marketing. The presentation also emphasizes the need for continuous small improvements and building a friendly, inclusive community that contributes to the project's growth.
Vladimir Iglovikov brings his extensive experience as a Kaggle Grandmaster, ex-Staff ML Engineer at Lyft, sharing valuable lessons and practical advice for anyone looking to enhance the adoption of their open-source projects.
Explore more about Albumentations and join the community at:
GitHub: https://github.com/albumentations-team/albumentations
Website: https://albumentations.ai/
LinkedIn: https://www.linkedin.com/company/100504475
Twitter: https://x.com/albumentations
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
GridMate - End to end testing is a critical piece to ensure quality and avoid...ThomasParaiso2
End to end testing is a critical piece to ensure quality and avoid regressions. In this session, we share our journey building an E2E testing pipeline for GridMate components (LWC and Aura) using Cypress, JSForce, FakerJS…
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!SOFTTECHHUB
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
4. Why is it a trend?
Latest devices have a
high “cool factor.”
5. Considerations for Health
Care Organizations
• Determine security guidelines
and use profiles
• Build integration timelines
• Shop for vendor support
8. Why is it a trend?
Denser racks with
higher performance
means technology is
getting smaller.
9. Considerations for Health
Care Organizations
• Utilization levels and compute-
to-energy ratios critical by 2013
• Retaining organizational
footprint dictates logical growth
without physical growth
12. Why is it a trend?
Increased awareness in
energy use, compute-to-
consumption ratios and
key performance indicator
(KPI) consumption.
13. Considerations for Health
Care Organizations
• Energy management needs to
become an enterprise-level
discipline
• Requires energy management
information systems
16. Why is it a trend?
“A seamless shift
between computing
and communicating.”
17. Considerations for Health
Care Organizations
• PCs and mobile devices are different
• Security remains a challenge
• Device variability makes portal
platform building difficult
• Clouds and smaller datacenters are
making mobility doable
20. Why is it a trend?
More than 60 percent
of IT cloud adoption is
redeployment of
current technology.
21. Considerations for Health
Care Organizations
• There will be a growing shift to use
private and hybrid cloud operations
• Deploy only after public services
have been integrated with private
delivery
• Make sure there is a valid business
reason to migrate to the cloud
24. Why is it a trend?
Integration of common IT elements
(E.g. monolithic servers, storage and
networks) enables faster
component replacement or
substitution and better service
response with optimized workloads.
25. Considerations for Health
Care Organizations
• IT needs will become increasingly
integrated
• Practices should seek single-
database practice management and
EHR operations
• Will lead to any-to-any virtual
connectivity for resource sharing
28. Why is it a trend?
Organizations are seeking
to get the most out of IT
money invested.
29. Considerations for Health
Care Organizations
• Understand Glass’s Law: “For
every 25 percent increase in
functionality of a system, there
is a 100 percent increase in the
complexity of that system."
32. Why is it a trend?
Big Data is static and
organizations are seeking
to connect the ability to
manage data and use data.
33. Considerations for Health
Care Organizations
• The longer you ignore “Big Data,”
the worse it gets
• Evaluate data input and eliminate
duplication for consistency and waste
elimination
• Segment and prioritize core data
needs
36. Why is it a trend?
Real-time service is
expected and “crowd-
sourcing” is becoming
prevalent.
37. Considerations for Health
Care Organizations
• Build transitions strategies
such as super-users to address
decreasing services desks
• Enable a proactive business
productivity team
40. Why is it a trend?
Increased automation and
agility coupled with simplified
design and policy-
based/network management.
41. Considerations for Health
Care Organizations
• There will be an increase in
change of processes and
interactions
• This includes patient
interaction through systems
44. Want to learn more about
current market trends in
health care?
info.successehs.com/successehs-brief
Read our Success B.R.I.E.F. – Bringing
Relevant Information & EHR Facts – for
the latest health care highlights