The document discusses healthcare's need for master data management (MDM) to create a single trusted source of reference data across disparate systems. It notes that MDM hubs can standardize data to common governance rules, define common reference data, and avoid redundant data entry. The document also provides examples of common healthcare domains that can benefit from MDM like providers, facilities, patients, reference codes. Finally, it summarizes one healthcare organization's experience deploying MDM starting with provider and location domains to consolidate inconsistent data across various systems and enable more accurate reporting.
Modern Data Management for Modern HealthcareProfisee
In today’s healthcare environment data is either your friend or your enemy; with good data you can deliver high-quality healthcare with bad data you won’t survive and thrive. Master Data Management (MDM) is a key pillar of any data strategy and provides a trusted data foundation for healthcare success. This webinar will show how MDM can provide a trusted data foundation for a wide range of data management initiatives.
Selling MDM to Leadership: Beyond the 1st Use-CaseProfisee
Getting through the first business case is challenging and can seem to go on forever. It may seem impossible to believe, but MDM will become a way of life for your organization. We’ll walk through countless examples to demonstrate the far-reaching impact and value that an MDM program can have.
It's not one or the other, or, one vs the other... MDM and DG are better together. And for good reasons.
Join Nicola Askham, The Data Governance Coach, as she discusses the relationship between Data Governance (DG) and MDM, how they benefit each other, and how to get maximum value from both.
Poor data quality should be a primary driver in selecting and implementing a Master Data Management solution, and yet 64% of organizations say it's the reason they abandoned the evaluation.*
*Profisee Topline Market Study 2020
The, What, Why, & How of MDM in Digital Business Transformation SlideshareProfisee
MDM not only makes digital transformation possible, it optimizes the results of these efforts while reducing the risk of tactical and strategic failures. This webinar dives into the critical role that MDM plays in digital business transformation initiatives
It is easy to get caught up in the possibilities of what MDM can do for your enterprise. It can be daunting trying to decide where to start, what to measure, and what objectives to set. After all, not all data has the same value and not all data problems have the same impact. Learn how to determine the scope of your MDM program with this presentation.
Data Warehouse - a Fit-For-Purpose ApproachJohn Bao Vuu
According to Gartner, the failure rate for developing a successful data warehouse is about 50%. There are so many different reasons why and every expert will have their own valid opinion. A “fit-for-purpose” approach is designed to put business needs first. It is 1. Business driven, 2. Flexible, and 3. Incremental (Agile).
• Enterprise Decision Support Architecture
• Benefits of Data Warehouse
• Data Warehouse Implementation - “Fit-for-Purpose” Principles
• Strategic Business Alignment with Data Warehouse
• The Continuum of Data Warehouse
Modern Data Management for Modern HealthcareProfisee
In today’s healthcare environment data is either your friend or your enemy; with good data you can deliver high-quality healthcare with bad data you won’t survive and thrive. Master Data Management (MDM) is a key pillar of any data strategy and provides a trusted data foundation for healthcare success. This webinar will show how MDM can provide a trusted data foundation for a wide range of data management initiatives.
Selling MDM to Leadership: Beyond the 1st Use-CaseProfisee
Getting through the first business case is challenging and can seem to go on forever. It may seem impossible to believe, but MDM will become a way of life for your organization. We’ll walk through countless examples to demonstrate the far-reaching impact and value that an MDM program can have.
It's not one or the other, or, one vs the other... MDM and DG are better together. And for good reasons.
Join Nicola Askham, The Data Governance Coach, as she discusses the relationship between Data Governance (DG) and MDM, how they benefit each other, and how to get maximum value from both.
Poor data quality should be a primary driver in selecting and implementing a Master Data Management solution, and yet 64% of organizations say it's the reason they abandoned the evaluation.*
*Profisee Topline Market Study 2020
The, What, Why, & How of MDM in Digital Business Transformation SlideshareProfisee
MDM not only makes digital transformation possible, it optimizes the results of these efforts while reducing the risk of tactical and strategic failures. This webinar dives into the critical role that MDM plays in digital business transformation initiatives
It is easy to get caught up in the possibilities of what MDM can do for your enterprise. It can be daunting trying to decide where to start, what to measure, and what objectives to set. After all, not all data has the same value and not all data problems have the same impact. Learn how to determine the scope of your MDM program with this presentation.
Data Warehouse - a Fit-For-Purpose ApproachJohn Bao Vuu
According to Gartner, the failure rate for developing a successful data warehouse is about 50%. There are so many different reasons why and every expert will have their own valid opinion. A “fit-for-purpose” approach is designed to put business needs first. It is 1. Business driven, 2. Flexible, and 3. Incremental (Agile).
• Enterprise Decision Support Architecture
• Benefits of Data Warehouse
• Data Warehouse Implementation - “Fit-for-Purpose” Principles
• Strategic Business Alignment with Data Warehouse
• The Continuum of Data Warehouse
Join Bill O'Kane, former Gartner VP and MDM Analyst to examine current trends occurring in the MDM marketplace today at the "street-level" and how they can impact your enterprise or MDM initiatives.
CRM data quality has become so pervasive that only 49% of organizations consider the current state of their CRM data to be clean, not allowing them to fully leverage it.
Developing & Deploying Effective Data Governance FrameworkKannan Subbiah
This is the slide deck presented at the Customer Privacy and Data Protection India Summit 2019 held in Mumbai, India. The specific topics touched upon are the guiding principles, Aligning with Data Architecture, Data Quality & Compliance.
Selling MDM to Leadership: Defining the WhyProfisee
It's one of the hardest things to do prior to beginning an MDM initiative, but understanding why you need MDM from a business point of view is critical to ensure the success of the project.
Unlocking Success in the 3 Stages of Master Data ManagementPerficient, Inc.
Master data management (MDM) comprises the processes, governance, policies, standards and tools that define and manage critical data. MDM is used to conduct strategic initiatives such as customer 360, product excellence and operational efficiency.
The quality of enterprise Information depends on the master data, so getting it right should be a high priority. This webinar will highlight key factors needed for success in each of the three stages of the MDM journey:
Planning
Implementation
Steady state
We review each stage in detail and provide insight into planning and collaborative activities. In this slideshare you will learn:
Best practices, tips and techniques for a successful MDM program
Top considerations for business case building, architecture and going live
How to support the overall program after launching your MDM program
Harvard-Profisee | Path to Trustworthy Data Webinar SlidesProfisee
Find out how your data investments and strategies compare to the 343 executives surveyed by Harvard Business Review Analytic Services and learn how you can leverage your enterprise data as a strategic asset from those who have walked the path before you.
These slides guided a presentation from Alex Clemente, Managing Director at Harvard Business Review Analytic Services and include several key findings from the 2021 HBR-AS Pulse Survey, "The Path to Trustworthy Data."
Be sure to watch the entire presentation and interactive Q&A on-demand here: https://profisee.com/event/walking-the-path-to-trustworthy-data/
Making an Effective Business Case for Master Data ManagementProfisee
85% of MDM (master data management) initiatives will fail to go beyond piloting and experimentation, making a persuasive and informative business case for MDM critical to the program's success.
Selling MDM to Leadership: Evaluation PitfallsProfisee
Chances are, this is probably the first time you've evaluated an MDM solution, and by now, you know there is A LOT to consider when evaluating vendors. But before you go signing any contracts, be sure you know exactly what you're signing up for.
Business impact without data governanceJohn Bao Vuu
Presentation on common business issues and challenges in organizations that do not have formal data governance practices. Data management on the whole has evolved over the years, but data governance is still one of the greatest constraints in strategic transformation and operational effectiveness.
1. What is Data Governance?
2. Business Impact without Data Governance
3. Benefits of Data Governance
4. Implementing Data Governance
Data analytics, data management, and master data
management are part of an overall imperative
for public-sector organizations. They are central to
organizational competitiveness and relevancy. The City of
Cincinnati, Ohio, has developed a robust master data management
process, and any government can use the city’s
achievements as a best practices model for their own master
data management strategy. This article looks at several
administrative regulations, touching on reasons why master
data management is essential, the benefits it can confer, how
Cincinnati got started, the city’s framework, and the lessons
the city learned along the way
Enterprise Data Management Framework OverviewJohn Bao Vuu
A solid data management foundation to support big data analytics and more importantly a data-driven culture is necessary for today’s organizations.
A mature Data Management Program can reduce operational costs and enable rapid business growth and development. Data Management program must evolve to monetize data assets, deliver breakthrough innovation and help drive business strategies in new markets.
Gartner: Seven Building Blocks of Master Data ManagementGartner
Gartner will further examine key trends shaping the future MDM market during the Gartner MDM Summit 2011, 2-3 February in London. More information at www.europe.gartner.com/mdm.
The Merger is Happening, Now What Do We Do?DATUM LLC
This was presented on October 24, 2018 at the ASUG EIM Conference. One of the many challenges presented by an acquisition and divestiture event is unifying disparate data and integrating systems together. If you are leading an integration, you may have more questions than answers on how to approach this event. Learn how to best leverage the momentum and budgets that accompany these activities to jump start good governance practices up front, as well as how to measure the return on investment, ensuring data and EIM professionals' ongoing success.
Compliance issues can impact organizations in many ways. For medical device companies, this can be in the form of the FDA’s unique device identification (UDI) requirements. These requirements, a result of the passage of The FDA Amendments Act of 2007, stipulate that most medical devices carry a unique device identifier.
A webinar addressing how enterprise data management enables UDI compliance was presented live on May 23, 2013 in a joint session with Kelle O’Neal of First San Francisco Partners and Ross Hart of Riversand Technologies.
During the presentation, the following areas were discussed:
- The FDA legislation and the impact it will have on your organization
- Current UDI data challenges and benefits
- How enterprise information management and PIM support UDI
- How to get a UDI program started
- How to ensure a successful UDI program
These are the slides used in Kelle's portion of the presentation.
Suresh Menon, Vice President, Product Management - Information Quality Solutions at Informatica, shares how to master your data and your business from the 2015 Informatica Government Summit.
Join Bill O'Kane, former Gartner VP and MDM Analyst to examine current trends occurring in the MDM marketplace today at the "street-level" and how they can impact your enterprise or MDM initiatives.
CRM data quality has become so pervasive that only 49% of organizations consider the current state of their CRM data to be clean, not allowing them to fully leverage it.
Developing & Deploying Effective Data Governance FrameworkKannan Subbiah
This is the slide deck presented at the Customer Privacy and Data Protection India Summit 2019 held in Mumbai, India. The specific topics touched upon are the guiding principles, Aligning with Data Architecture, Data Quality & Compliance.
Selling MDM to Leadership: Defining the WhyProfisee
It's one of the hardest things to do prior to beginning an MDM initiative, but understanding why you need MDM from a business point of view is critical to ensure the success of the project.
Unlocking Success in the 3 Stages of Master Data ManagementPerficient, Inc.
Master data management (MDM) comprises the processes, governance, policies, standards and tools that define and manage critical data. MDM is used to conduct strategic initiatives such as customer 360, product excellence and operational efficiency.
The quality of enterprise Information depends on the master data, so getting it right should be a high priority. This webinar will highlight key factors needed for success in each of the three stages of the MDM journey:
Planning
Implementation
Steady state
We review each stage in detail and provide insight into planning and collaborative activities. In this slideshare you will learn:
Best practices, tips and techniques for a successful MDM program
Top considerations for business case building, architecture and going live
How to support the overall program after launching your MDM program
Harvard-Profisee | Path to Trustworthy Data Webinar SlidesProfisee
Find out how your data investments and strategies compare to the 343 executives surveyed by Harvard Business Review Analytic Services and learn how you can leverage your enterprise data as a strategic asset from those who have walked the path before you.
These slides guided a presentation from Alex Clemente, Managing Director at Harvard Business Review Analytic Services and include several key findings from the 2021 HBR-AS Pulse Survey, "The Path to Trustworthy Data."
Be sure to watch the entire presentation and interactive Q&A on-demand here: https://profisee.com/event/walking-the-path-to-trustworthy-data/
Making an Effective Business Case for Master Data ManagementProfisee
85% of MDM (master data management) initiatives will fail to go beyond piloting and experimentation, making a persuasive and informative business case for MDM critical to the program's success.
Selling MDM to Leadership: Evaluation PitfallsProfisee
Chances are, this is probably the first time you've evaluated an MDM solution, and by now, you know there is A LOT to consider when evaluating vendors. But before you go signing any contracts, be sure you know exactly what you're signing up for.
Business impact without data governanceJohn Bao Vuu
Presentation on common business issues and challenges in organizations that do not have formal data governance practices. Data management on the whole has evolved over the years, but data governance is still one of the greatest constraints in strategic transformation and operational effectiveness.
1. What is Data Governance?
2. Business Impact without Data Governance
3. Benefits of Data Governance
4. Implementing Data Governance
Data analytics, data management, and master data
management are part of an overall imperative
for public-sector organizations. They are central to
organizational competitiveness and relevancy. The City of
Cincinnati, Ohio, has developed a robust master data management
process, and any government can use the city’s
achievements as a best practices model for their own master
data management strategy. This article looks at several
administrative regulations, touching on reasons why master
data management is essential, the benefits it can confer, how
Cincinnati got started, the city’s framework, and the lessons
the city learned along the way
Enterprise Data Management Framework OverviewJohn Bao Vuu
A solid data management foundation to support big data analytics and more importantly a data-driven culture is necessary for today’s organizations.
A mature Data Management Program can reduce operational costs and enable rapid business growth and development. Data Management program must evolve to monetize data assets, deliver breakthrough innovation and help drive business strategies in new markets.
Gartner: Seven Building Blocks of Master Data ManagementGartner
Gartner will further examine key trends shaping the future MDM market during the Gartner MDM Summit 2011, 2-3 February in London. More information at www.europe.gartner.com/mdm.
The Merger is Happening, Now What Do We Do?DATUM LLC
This was presented on October 24, 2018 at the ASUG EIM Conference. One of the many challenges presented by an acquisition and divestiture event is unifying disparate data and integrating systems together. If you are leading an integration, you may have more questions than answers on how to approach this event. Learn how to best leverage the momentum and budgets that accompany these activities to jump start good governance practices up front, as well as how to measure the return on investment, ensuring data and EIM professionals' ongoing success.
Compliance issues can impact organizations in many ways. For medical device companies, this can be in the form of the FDA’s unique device identification (UDI) requirements. These requirements, a result of the passage of The FDA Amendments Act of 2007, stipulate that most medical devices carry a unique device identifier.
A webinar addressing how enterprise data management enables UDI compliance was presented live on May 23, 2013 in a joint session with Kelle O’Neal of First San Francisco Partners and Ross Hart of Riversand Technologies.
During the presentation, the following areas were discussed:
- The FDA legislation and the impact it will have on your organization
- Current UDI data challenges and benefits
- How enterprise information management and PIM support UDI
- How to get a UDI program started
- How to ensure a successful UDI program
These are the slides used in Kelle's portion of the presentation.
Suresh Menon, Vice President, Product Management - Information Quality Solutions at Informatica, shares how to master your data and your business from the 2015 Informatica Government Summit.
Increasing Agility Through Data VirtualizationDenodo
During the Data Summit Conference in New York, our CMO Ravi Shankar and BJ Fesq, Chief Data Officer at CIT Group, were discussing the modernization of data architectures with data virtualization.
This presentation explores how data virtualization is being used to dramatically reduce data proliferation and ensure that all consumers are working with a single source of the truth. It also looks at how data virtualization can drive standardization, measure and improve data quality, abstract data consumers from data providers, expose data lineage, enable cross-company data integration, and serve as a common provisioning point from which to access all authoritative sources of data.
Do you have customers residing in California? If so, you need to prepare yourself for the California Consumer Privacy Act (CCPA) going into effect in January 2020. CCPA mandates data privacy protection for California consumers much like GDPR. Personal information for consumers, households, and devices is covered and it is broadly applied. It’s not just names and addresses or personal identifiers like driver’s license and social security number but includes: geolocation data; records of personal property; products or services purchased, obtained, or even considered for purchase; browsing history; education information; professional information; and more. And you need to know where all that information is.
In order to ensure compliance, it’s time to put data profiling to work! You need rapid insight into your data sources whether on traditional platforms or in your data lake, and you need to find the outliers, not just cursory review of data samples, that help you ensure you’ve identified all the places this information has spread to as the information has been copied, reported, and delivered from central data stores.
View this webinar on-demand where we talk through some of the salient points of CCPA and show you how to leverage Trillium Discovery to profile, assess, and evaluate the data sources to find this data at risk.
Learn How ProHealth Care is Innovating Population Health Management with Clin...Perficient, Inc.
Christine Bessler, CIO at ProHealth Care,demonstrates how ProHealth Care became the first healthcare system to produce reports and data out of Epic's Cogito data warehouse in a production environment. In this slideshare, you'll learn:
How they delivered clinically integrated insights to 460 physicians
How access to analytics allows their physicians to easily see which patients need important health screenings or care interventions, setting the stage for enhanced preventive care and better management of chronic diseases
ProHealth Care's strategy to integrate data from Epic with information from other EMRs and data sources to deliver clinically integrated business intelligence
How the organization is positioning itself to deliver against an advanced self-service BI capability in the future
Data Virtualization for Business Consumption (Australia)Denodo
Watch full webinar here: https://bit.ly/3llCY4s
A successful data virtualization initiative bridges the gap between two very different perspectives of data management: IT and business. However, most of the emphasis in these initiatives is put on the IT side, modeling, performance, security, etc. Business users are often left with a large library of data sets, hard to use and navigate.
Denodo’s data catalog has been designed to cover the needs of those users and simplify the use and understanding of the virtual layer from the business perspective. It provides the extra capabilities required for self-service initiatives to succeed, while avoiding many of the common pitfalls of other cataloging solutions.
Attend this session to learn:
- The role of the data catalog in a logical architecture
- How to incorporate the data catalog in the life of “citizen analysts”
- Best practices in documentation and metadata management
- Advanced usage of Denodo’s data catalog
Connecting healthcare providers and public health departmentsCureMD
Designed to optimize healthcare outcomes, CureMD intuitively collects standardized data & seamlessly connects it with public health departments for care quality, disease prevention & cost control.
With CureMD, clinicians can easily contribute surveillance data to Public Health Departments without changing workflows or incurring extra work. Our built-in business intelligence consolidates information with intuitive dashboards to make public health management more effective and timely.
A Dell Healthcare Services POV on payment integrity, utilization management and provider management. Browse the slides and discover more at Dell.com/healthplans
New Analytic Uses of Master Data Management in the EnterpriseDATAVERSITY
Companies all over the world are going through digital transformation now, which in many cases is all about maturing the data environment and the use of data. Master data is key to this effort. All transformative projects require master data and usually many subject areas.
What could you accomplish if cultivating master data didn’t have to be part of every project and could be accessed as a service?
We’ll look at creative enterprise use cases of Master Data Management in the enterprise. We’ll see what some MDM vendors are doing with AI and how the future of MDM will be shaped by looking at some specific MDM actions influenced by AI.
This presentation addresses
*Why do we need access to Health Data and Information?
*What are the challenges we have?
*What are the possible interventions that can be made so that access becomes easy for patients and doctors?
In this webinar, Dale Sanders will provide a pragmatic, step-by-step, and measurable roadmap for the adoption of analytics in healthcare-- a roadmap that organizations can use to plot their strategy and evaluate vendors; and that vendors can use to develop their products. Attendees will have a chance to learn about:
1) The details of his eight-level model, 2) A brief introduction to the HIMSS/IIA DELTA Model, 3) The importance of permanent organizational teams to sustain improvements from analytic investments, 4) The process of curating and maturing data governance, and 5) The coordination of a data acquisition strategy with payment and reimbursement strategies
top nidhi software solution freedownloadvrstrong314
This presentation emphasizes the importance of data security and legal compliance for Nidhi companies in India. It highlights how online Nidhi software solutions, like Vector Nidhi Software, offer advanced features tailored to these needs. Key aspects include encryption, access controls, and audit trails to ensure data security. The software complies with regulatory guidelines from the MCA and RBI and adheres to Nidhi Rules, 2014. With customizable, user-friendly interfaces and real-time features, these Nidhi software solutions enhance efficiency, support growth, and provide exceptional member services. The presentation concludes with contact information for further inquiries.
Globus Compute wth IRI Workflows - GlobusWorld 2024Globus
As part of the DOE Integrated Research Infrastructure (IRI) program, NERSC at Lawrence Berkeley National Lab and ALCF at Argonne National Lab are working closely with General Atomics on accelerating the computing requirements of the DIII-D experiment. As part of the work the team is investigating ways to speedup the time to solution for many different parts of the DIII-D workflow including how they run jobs on HPC systems. One of these routes is looking at Globus Compute as a way to replace the current method for managing tasks and we describe a brief proof of concept showing how Globus Compute could help to schedule jobs and be a tool to connect compute at different facilities.
Field Employee Tracking System| MiTrack App| Best Employee Tracking Solution|...informapgpstrackings
Keep tabs on your field staff effortlessly with Informap Technology Centre LLC. Real-time tracking, task assignment, and smart features for efficient management. Request a live demo today!
For more details, visit us : https://informapuae.com/field-staff-tracking/
Exploring Innovations in Data Repository Solutions - Insights from the U.S. G...Globus
The U.S. Geological Survey (USGS) has made substantial investments in meeting evolving scientific, technical, and policy driven demands on storing, managing, and delivering data. As these demands continue to grow in complexity and scale, the USGS must continue to explore innovative solutions to improve its management, curation, sharing, delivering, and preservation approaches for large-scale research data. Supporting these needs, the USGS has partnered with the University of Chicago-Globus to research and develop advanced repository components and workflows leveraging its current investment in Globus. The primary outcome of this partnership includes the development of a prototype enterprise repository, driven by USGS Data Release requirements, through exploration and implementation of the entire suite of the Globus platform offerings, including Globus Flow, Globus Auth, Globus Transfer, and Globus Search. This presentation will provide insights into this research partnership, introduce the unique requirements and challenges being addressed and provide relevant project progress.
Quarkus Hidden and Forbidden ExtensionsMax Andersen
Quarkus has a vast extension ecosystem and is known for its subsonic and subatomic feature set. Some of these features are not as well known, and some extensions are less talked about, but that does not make them less interesting - quite the opposite.
Come join this talk to see some tips and tricks for using Quarkus and some of the lesser known features, extensions and development techniques.
Understanding Globus Data Transfers with NetSageGlobus
NetSage is an open privacy-aware network measurement, analysis, and visualization service designed to help end-users visualize and reason about large data transfers. NetSage traditionally has used a combination of passive measurements, including SNMP and flow data, as well as active measurements, mainly perfSONAR, to provide longitudinal network performance data visualization. It has been deployed by dozens of networks world wide, and is supported domestically by the Engagement and Performance Operations Center (EPOC), NSF #2328479. We have recently expanded the NetSage data sources to include logs for Globus data transfers, following the same privacy-preserving approach as for Flow data. Using the logs for the Texas Advanced Computing Center (TACC) as an example, this talk will walk through several different example use cases that NetSage can answer, including: Who is using Globus to share data with my institution, and what kind of performance are they able to achieve? How many transfers has Globus supported for us? Which sites are we sharing the most data with, and how is that changing over time? How is my site using Globus to move data internally, and what kind of performance do we see for those transfers? What percentage of data transfers at my institution used Globus, and how did the overall data transfer performance compare to the Globus users?
OpenFOAM solver for Helmholtz equation, helmholtzFoam / helmholtzBubbleFoamtakuyayamamoto1800
In this slide, we show the simulation example and the way to compile this solver.
In this solver, the Helmholtz equation can be solved by helmholtzFoam. Also, the Helmholtz equation with uniformly dispersed bubbles can be simulated by helmholtzBubbleFoam.
Enhancing Research Orchestration Capabilities at ORNL.pdfGlobus
Cross-facility research orchestration comes with ever-changing constraints regarding the availability and suitability of various compute and data resources. In short, a flexible data and processing fabric is needed to enable the dynamic redirection of data and compute tasks throughout the lifecycle of an experiment. In this talk, we illustrate how we easily leveraged Globus services to instrument the ACE research testbed at the Oak Ridge Leadership Computing Facility with flexible data and task orchestration capabilities.
Gamify Your Mind; The Secret Sauce to Delivering Success, Continuously Improv...Shahin Sheidaei
Games are powerful teaching tools, fostering hands-on engagement and fun. But they require careful consideration to succeed. Join me to explore factors in running and selecting games, ensuring they serve as effective teaching tools. Learn to maintain focus on learning objectives while playing, and how to measure the ROI of gaming in education. Discover strategies for pitching gaming to leadership. This session offers insights, tips, and examples for coaches, team leads, and enterprise leaders seeking to teach from simple to complex concepts.
How Recreation Management Software Can Streamline Your Operations.pptxwottaspaceseo
Recreation management software streamlines operations by automating key tasks such as scheduling, registration, and payment processing, reducing manual workload and errors. It provides centralized management of facilities, classes, and events, ensuring efficient resource allocation and facility usage. The software offers user-friendly online portals for easy access to bookings and program information, enhancing customer experience. Real-time reporting and data analytics deliver insights into attendance and preferences, aiding in strategic decision-making. Additionally, effective communication tools keep participants and staff informed with timely updates. Overall, recreation management software enhances efficiency, improves service delivery, and boosts customer satisfaction.
Accelerate Enterprise Software Engineering with PlatformlessWSO2
Key takeaways:
Challenges of building platforms and the benefits of platformless.
Key principles of platformless, including API-first, cloud-native middleware, platform engineering, and developer experience.
How Choreo enables the platformless experience.
How key concepts like application architecture, domain-driven design, zero trust, and cell-based architecture are inherently a part of Choreo.
Demo of an end-to-end app built and deployed on Choreo.
Listen to the keynote address and hear about the latest developments from Rachana Ananthakrishnan and Ian Foster who review the updates to the Globus Platform and Service, and the relevance of Globus to the scientific community as an automation platform to accelerate scientific discovery.
How to Position Your Globus Data Portal for Success Ten Good PracticesGlobus
Science gateways allow science and engineering communities to access shared data, software, computing services, and instruments. Science gateways have gained a lot of traction in the last twenty years, as evidenced by projects such as the Science Gateways Community Institute (SGCI) and the Center of Excellence on Science Gateways (SGX3) in the US, The Australian Research Data Commons (ARDC) and its platforms in Australia, and the projects around Virtual Research Environments in Europe. A few mature frameworks have evolved with their different strengths and foci and have been taken up by a larger community such as the Globus Data Portal, Hubzero, Tapis, and Galaxy. However, even when gateways are built on successful frameworks, they continue to face the challenges of ongoing maintenance costs and how to meet the ever-expanding needs of the community they serve with enhanced features. It is not uncommon that gateways with compelling use cases are nonetheless unable to get past the prototype phase and become a full production service, or if they do, they don't survive more than a couple of years. While there is no guaranteed pathway to success, it seems likely that for any gateway there is a need for a strong community and/or solid funding streams to create and sustain its success. With over twenty years of examples to draw from, this presentation goes into detail for ten factors common to successful and enduring gateways that effectively serve as best practices for any new or developing gateway.
First Steps with Globus Compute Multi-User EndpointsGlobus
In this presentation we will share our experiences around getting started with the Globus Compute multi-user endpoint. Working with the Pharmacology group at the University of Auckland, we have previously written an application using Globus Compute that can offload computationally expensive steps in the researcher's workflows, which they wish to manage from their familiar Windows environments, onto the NeSI (New Zealand eScience Infrastructure) cluster. Some of the challenges we have encountered were that each researcher had to set up and manage their own single-user globus compute endpoint and that the workloads had varying resource requirements (CPUs, memory and wall time) between different runs. We hope that the multi-user endpoint will help to address these challenges and share an update on our progress here.
Globus Connect Server Deep Dive - GlobusWorld 2024Globus
We explore the Globus Connect Server (GCS) architecture and experiment with advanced configuration options and use cases. This content is targeted at system administrators who are familiar with GCS and currently operate—or are planning to operate—broader deployments at their institution.
In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I ...Juraj Vysvader
In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I didn't get rich from it but it did have 63K downloads (powered possible tens of thousands of websites).
Innovating Inference - Remote Triggering of Large Language Models on HPC Clus...Globus
Large Language Models (LLMs) are currently the center of attention in the tech world, particularly for their potential to advance research. In this presentation, we'll explore a straightforward and effective method for quickly initiating inference runs on supercomputers using the vLLM tool with Globus Compute, specifically on the Polaris system at ALCF. We'll begin by briefly discussing the popularity and applications of LLMs in various fields. Following this, we will introduce the vLLM tool, and explain how it integrates with Globus Compute to efficiently manage LLM operations on Polaris. Attendees will learn the practical aspects of setting up and remotely triggering LLMs from local machines, focusing on ease of use and efficiency. This talk is ideal for researchers and practitioners looking to leverage the power of LLMs in their work, offering a clear guide to harnessing supercomputing resources for quick and effective LLM inference.
Strategies for Successful Data Migration Tools.pptxvarshanayak241
Data migration is a complex but essential task for organizations aiming to modernize their IT infrastructure and leverage new technologies. By understanding common challenges and implementing these strategies, businesses can achieve a successful migration with minimal disruption. Data Migration Tool like Ask On Data play a pivotal role in this journey, offering features that streamline the process, ensure data integrity, and maintain security. With the right approach and tools, organizations can turn the challenge of data migration into an opportunity for growth and innovation.
2. 05_01_18
WHY DOES HEALTHCARE NEED MDM?
Requires authoritative, reliable TRUSTED data foundation
Trusted Master
Data
Facility/LocationProvider
Data Interoperability
Mandates
Supplies Reference DataTreatmentPatient
Reporting and Operational
Efficiency
3. 05_01_18
WHY DO HEALTHCARE PROVIDERS NEED MDM?
Requires authoritative, reliable TRUSTED data foundation
Facility/LocationProvider Supplies Reference DataTreatmentPatient
MDM Hubs – Build and maintain trusted data for a ‘domain’
• Share trusted data
• Validate, store and manage incoming information
• Synchronize data across internal systems
• Standardize all data to YOUR Governance and DQ standards
• Define commonly used reference data
• Avoid redundant
effort
• Enable cross-
system reporting
• Meet compliance
requirements
4. 05_01_18
“ROSETTA STONE” – TYPICAL DATA EXAMPLES
• Data created in different silos ‘speaks’ in
different ‘languages’
• MDM is a Rosetta Stone to translate between
source and target so they can ‘understand’ each
other
• Between internal systems
• Interoperation with external systems
University
Uni
Univ
University-Campus
*University
Anesthesia
Anesthes
Anes
EP2
Anesthesiology
AN
ARNP
ARNP.
A.R.N.P
ANP-R
AP-RN
APRN
Gender
Gender - Source Gender - CMS Std
M M
F F
H U
MB4O M
MPO M
Unknown U
Standard term
Variations
Address Verification
Address Verified Address type
AV11 Y Physical
AV12 Y POBox
AV13 Y Both
AV14 N Unknown
AV15 Y Both
AV21 Y Physical
AV22 Y Both
AV23 Y POBox
AV24 N Unknown
AV25 Y Physical
5. 05_01_18
5
Consolidated Single Trusted Source Of Truth
PROVIDER HUB
MDM
EMR 1
EMR 2
Credential
System 1
Credential
System 2
EMR 3
CMS
Directory
EMR (Partner)
Name: Deborah Smith
Practice: Westside
Family Care
NPI: 655890321
EMR (Secondary)
Name: Deborah Varchey
Practice: Eastside Pediatrics
Type: Designated Practitioner
Provider Listing
Name: Deborah A
Varchie
Practice: Eastside
Pediatrics
Privileges: Admit,
Discharge
NPI: 302840392
Credentialing
Name: Debora Varchy
NPI: 699890321
Degree: Pediatrics
……
……
Composite Record
NPI Primary: 655890321
Practice NPI 302840392
Gender: Female
Degrees:
Primary: Pediatrics
Secondary1: Family Medicine
Secondary2: Masters, Public Health
eMail: dvarchy@ccc.com
Phone: 232-803-8233
DEA#: xxxxxx3312
SPI#: xxxxxx4322
Staff Status: Admit, Discharge
Staff Type: Managed Practitioner
Practice Organizations: Eastside
Pediatrics, Westside Pediatrics,
Central Pediatric Clinic
6. 05_01_18
6
Provider Hub is core to many operational processes
PROVIDER HUB
MDM
EMR 1
EMR 2
Credential
System 1
Credential
System 2
Medical
Staff
Office
CMS
Directory
Utilization
Web
directory
(and API)
Specialty
coverage
Physician
recruitment
Referral
management
Patient
Scheduling
Identity/access
management
Regulatory
Reporting
CMS compliance
7. 05_01_18
BEYOND PROVIDER MASTER – MANY DOMAINS/USE CASES
7
• Event management
• Fire monitoring
• Call management, etc.
• Access management
• Employee directory
• Emergency notification, etc.
• Study inclusion
• Address verification
• Clinical contact only flags
• Charity donor list
• Householding
• Do not contact suppression
• Supply reconciliation
• Price benchmarking
• Chargeback classification
• Standard codes
• Definitions
• Medical vocabularies
• Crosswalking/mappings
Facility/
Location
Patient
Supplies
Reference
Data
Management
Employee
Donor
8. 05_01_18
TAXONOMY GOVERNANCE – COVID-19 AND CANCER
Standardized,
Searchable Data
• Easy to search for researchers
• Foundation for AI/ML analysis
Disease Treatment Outcome
Electronic
Medical
Record
Profisee: Domain glossaries
Terminology crosswalks
Patient
Medical
Ontologists
Symptoms Markers DIagnoses
‘Raw’ Clinical Data
Profisee “Context Engine”
Profisee manages all ‘context’
• Specialists manage governance
& DQ rules for each data domain
• Profisee enforces standards and
manages issue resolution
11. 05_01_12
• Most data is siloed
• Poor overall data governance
• Inconsistent data that is hard to
integrate
VITUITY – “MASTER DATA JOURNEY”
11
• Redundant effort (common data being
maintained in several locations)
• Poor visibility – difficult to manage the
business and make strategic decisions
• Operational errors & inefficiency –
inconsistent data can cause billing and other
interoperability errors and consequent
rework
Unacceptable roadblocks for a
fast-growing business!
Data Challenges Business Impacts
12. 05_01_12
Approaches considered:
1. Use existing systems as ‘master data sources’
• Existing systems are not designed for this task
• Fundamentally does not work if data is in multiple systems
2. Custom coding of Data Warehouse to ‘master’ data
• Hard to maintain
• No transparency
• Lot of effort
3. Master Data Management platform
• Phase 1 deployment – Provider and Site domains (in Azure cloud)
• Future planned domains – Patient, Payer Contracts, Reference Data
4. Data Governance
• Clearly needed and initial steps taken to drive governance maturity
• MDM implements governance rules
VITUITY – “MASTER DATA JOURNEY”
12
Not
viable
Not
viable
Phase 1 live,
more to go
Starting the
journey…
13. 05_01_12
VITUITY – MANY DOMAINS AND USE CASES
• Drive consistent names/spellings and
related information
• Eliminates redundant effort
• Enables accurate reporting (and trust
in data)
• Consolidate information from EHR,
Credentialling, Billing and Legal
• Eliminate errors/inconsistencies
• Avoid redundant maintenance effort
• Solid foundation for reporting and
capturing additional information
• Enable patient tracking through
whole care experience for
• Better care
• Better tracking and metrics
• Avoid redundant data entry (basic
info, insurance, etc.)
• Standard codes & definitions
• Standardize mapping &
crosswalks
• CPT codes
• ICD9/10 codes
• CCS Diagnostics, etc.
Facility/
Location
Patient
Reference Data
Management
Provider
• Standardize payer names
• Enrich with roll-up hierarchies
“Start with 1 domain for simplicity BUT there is no chance there is a business out there
that only has one domain to be mastered”, Jenny Hyun, Vituity
Payer
Contracts
There are 2 important pressures that are reshaping healthcare today.
The first are the mandates for data interoperability being imposed by the Government and CMS as part of the Cures Act that state that there must be public APIs for provider and patient information. The APIs themselves are not really the issue though, it’s the need for well managed, complete and trusted data that is good enough to be shared, and that incoming information that may be in a variety of forms, can be understood and combined with existing information.
Second is the ongoing for insight into the business through various forms of reporting and then the agility to be able to respond to those insights to drive more operational efficiency – whether that in clinical outcomes, managing utilization, procurement or some other aspect of the business – we all know that all organizationa are increasingly run through data.
So it follows that bother these critical activities must be backed by ‘trusted master data’ – that is, the relatively slow moving data that forms the pillars of the business. Some of those what we call ‘domains’ are listed at the bottom of the slide. These and more can be ‘master data’ and aligning and synchronizing this data across and between systems is key to integratin gnad interoperating between those systems
There are 2 important pressures that are reshaping healthcare today.
The first are the mandates for data interoperability being imposed by the Government and CMS as part of the Cures Act that state that there must be public APIs for provider and patient information. The APIs themselves are not really the issue though, it’s the need for well managed, complete and trusted data that is good enough to be shared, and that incoming information that may be in a variety of forms, can be understood and combined with existing information.
Second is the ongoing for insight into the business through various forms of reporting and then the agility to be able to respond to those insights to drive more operational efficiency – whether that in clinical outcomes, managing utilization, procurement or some other aspect of the business – we all know that all organizationa are increasingly run through data.
So it follows that bother these critical activities must be backed by ‘trusted master data’ – that is, the relatively slow moving data that forms the pillars of the business. Some of those what we call ‘domains’ are listed at the bottom of the slide. These and more can be ‘master data’ and aligning and synchronizing this data across and between systems is key to integratin gnad interoperating between those systems
A talk though on this slide
In reality, the way master data is captured and updated across most organizations is fragmented and discontinuous. It’s MDM’s job to listen for new and updated information, link the correct information together, and assemble the puzzle pieces incrementally. Complicating this process is the fact that information is often incomplete and inconsistent. It would be like trying to assemble a jig saw puzzle where the picture side of the pieces had been damaged, and only part of the picture were visible.
First build: In this scenario, the first piece of information available might be from an external source, such as a marketing lead file or in this case, Dun & Bradstreet. Here we capture information about Debora Varchy with Crete Carrier Corporation
Second build: The next interaction might be with the parts department, when Debora orders a replacement part. In this case, the parts representative captures her name as “Deb Varchie” and abbreviates the company name to “Crete Carrier Corp.” MDM figures out that this is the same person, with the same company, and aggregates the information together.
Third build: The next interaction might be with the service department, when the new part doesn’t work properly. In this case, the service representative captures her name as “Debby Varchy” and abbreviates the company name to “CCC”. Again, MDM recognizes that this is the same person and the same company, and continues to aggregate the information we know about Debora and Create Carrier Corporation.
Fourth build: The next interaction might be with the warranty division, as the replacement part is clearly defective.….same story.
Fifth build: MDM has taken these fragments of master data, correctly reconciled them, and used them to assemble an aggregate composite record that is the most complete, most up to date information available on Debora Varchy and Crete Carrier Corporation. As part of this process, MDM captures each contributing system and the primary keys for the data from each contributing record. This cross reference information is a gold-mine for analytics, allowing transactions from multiple systems to be correctly aggregated, even when the information in those systems is inconsistent or incomplete. Furthermore, the best, most complete composite data set can be shared back to operating systems, ensuring that invoices are sent to the most current and accurate billing address, or orders shipped to the best, most current delivery address, etc.
What MDM is doing, really, is collecting updates and changes to key master data as they are captured across multiple systems. The real magic is two-fold.
MDM will link up information fragments to build out the complete, composite picture, even when the information is not 100% accurate and consistent, and
MDM will apply rules to assemble the best, most complete composite record – e.i. identify the best address, the best email, the best company name, etc.
Chargeback – industry average is 4-5% comes from chargeable supplies; their average was 1% as some items were misclassified for chargeback – so 3-4% underbilling
Undercharging by 3-4% = $20mm/year
About 6.4M patient lives annually
Business units – Providers, Practice Management, and RCM/Billing