The document discusses accelerating healthcare organizations' move to value-based care through achieving information management maturity. It describes three key steps:
1. Developing an information management strategy, including conducting a data asset inventory, business workload analysis, and architectural component mapping to create a 3-5 year execution roadmap.
2. Implementing better data governance and improving data quality through evaluating and enhancing processes.
3. Modernizing existing business intelligence and data investments to achieve a more mature "Data 3.0" environment where data is actionable, explainable, trusted and contextualized.
The summary highlights the main points about the three key steps discussed in the document for achieving information management maturity to support the transition
Five Critical Success Factors for Embedded Analyticsibi
This presentation explores operational embedded analytics and customer-facing analytics to provide insight into why organizations should be considering embedded analytics as part of their overall business intelligence strategy.
Here are 10 reasons to attend the Information Builders Summit 2017, June 5-8 at the Gaylord Texan in Grapevine, TX.
Learn more and register: http://www.informationbuilders.com/events/summit
Check out slides from this 45-minute webcast to see what your organization needs to do to stay on top of the coming technology transformations and gain insight into upcoming trends in analytics.
View the webcast recording at: http://ow.ly/Rnu3307Umb9
Ironside's VP of Strategy & Innovation, Greg Bonnette, delivered a presentation on "How to Build a Winning Strategy for Data & Analytics" to provide a framework for data-driven decision making.
Your smarter data analytics strategy - Social Media Strategies Summit (SMSS) ...Clark Boyd
The volume and velocity of available data brings with it a huge amount of new opportunities for marketers. However, without the analytics know-how to avail of this data, these are opportunities that are often missed. Moreover, the variety of different data sources and analytics platforms only add to this complexity.
This presentation covers:
- How to define and communicate an analytics framework
- How to set up analytics dashboards for a range of stakeholders
- The people and skills you need for an optimal analytics team
- Practical tips for improving your campaign measurement
Business Analytics Competency centre: A strategic Differentiator BSGAfrica
Analytics industry trends and how they relate to the Insurance sector, highlighting the importance of recognising the Customer Lifetime Value (CLV) over the immediate revenue-generation potential of each customer. Steven Ing spoke about data as a strategic business asset, and the importance of recognising it as such. Additionally, he commented on the significance of developing an internal strategic team of experts, with a specific focus on facilitating and promoting the use of analytics to achieve business objectives across the enterprise.
Five Critical Success Factors for Embedded Analyticsibi
This presentation explores operational embedded analytics and customer-facing analytics to provide insight into why organizations should be considering embedded analytics as part of their overall business intelligence strategy.
Here are 10 reasons to attend the Information Builders Summit 2017, June 5-8 at the Gaylord Texan in Grapevine, TX.
Learn more and register: http://www.informationbuilders.com/events/summit
Check out slides from this 45-minute webcast to see what your organization needs to do to stay on top of the coming technology transformations and gain insight into upcoming trends in analytics.
View the webcast recording at: http://ow.ly/Rnu3307Umb9
Ironside's VP of Strategy & Innovation, Greg Bonnette, delivered a presentation on "How to Build a Winning Strategy for Data & Analytics" to provide a framework for data-driven decision making.
Your smarter data analytics strategy - Social Media Strategies Summit (SMSS) ...Clark Boyd
The volume and velocity of available data brings with it a huge amount of new opportunities for marketers. However, without the analytics know-how to avail of this data, these are opportunities that are often missed. Moreover, the variety of different data sources and analytics platforms only add to this complexity.
This presentation covers:
- How to define and communicate an analytics framework
- How to set up analytics dashboards for a range of stakeholders
- The people and skills you need for an optimal analytics team
- Practical tips for improving your campaign measurement
Business Analytics Competency centre: A strategic Differentiator BSGAfrica
Analytics industry trends and how they relate to the Insurance sector, highlighting the importance of recognising the Customer Lifetime Value (CLV) over the immediate revenue-generation potential of each customer. Steven Ing spoke about data as a strategic business asset, and the importance of recognising it as such. Additionally, he commented on the significance of developing an internal strategic team of experts, with a specific focus on facilitating and promoting the use of analytics to achieve business objectives across the enterprise.
Data is the lifeblood of just about every organization and functional area today. As businesses struggle to come to grips with the data flood, it is even more critical to focus on data as an asset that directly supports business imperatives as other organizational assets do. Organizations across most industries attempt to address data opportunities (e.g. Big Data) and data challenges (e.g. data quality) to enhance business unit performance. Unfortunately however, the results of these efforts frequently fall far below expectations due to haphazard approaches. Overall, poor organizational data management capabilities are the root cause of many of these failures. This webinar covers three lessons (illustrated by examples), which will help you to establish realistic OM plans and expectations, and help demonstrate the value of such actions to both internal and external decision makers.
Check out more of our webinars here: http://www.datablueprint.com/resource-center/webinar-schedule/
Five steps to launch your data governance officeDATAVERSITY
About the Webinar
DATAVERSITY and OONdada have teamed up to create a new, innovative Data Governance tool called DATAVERSITY DGO. This webinar will educate you on the philosophy behind that tool as it contains the processes, instructions, and guidance from the Data Governance Institute's Framework and Methodology.
In this webinar, you will learn the five fundamental steps to launching a Data Governance Office:
1. Establish Goals
2. Engage Stakeholders
3. Align Governance
4. Exercise Governance
5. Communicate Success
About the Speaker
Max Gano has an extensive background in data management, serving as Chief Data Architect for a Fortune 500 Bank. He is passionate about contributing to the increasing maturity of data management and governance practices as critical capabilities for any organization that seeks sustainable prosperity and growth. As the Principle Data Strategist for the Data Governance Institute, he worked with a range of major corporations and industry thought leaders to formulate successful strategies for governing and managing information and the operational processes required to achieve those objectives. With that goal in mind, Max has now turned his attention to establishing OONdada as a leader in online collaboration services.
Expert data analytics prove to be highly transformative when applied in context to corporate business strategies.
This webinar covers various approaches and strategies that will give you a detailed insight into planning and executing your Data Analytics projects.
Data Strategy - Executive MBA Class, IE Business SchoolGam Dias
For today's enterprise Data is now very much a corporate asset, vital to delivering products and services efficiently and cost effectively. There are few organizations that can survive without harnessing data in some way.
Viewed as a strategic asset, data can be a source of new internal efficiencies, improved competitive advantage or a source of entirely new products that can be targeted at your existing or new customers.
This slide deck contains the highlights of a one day course on Data Strategy taught as part of the Executive MBA Program at IE Business School in Madrid.
Creating a clearly articulated data strategy—a roadmap of technology-driven capability investments prioritized to deliver value—helps ensure from the get-go that you are focusing on the right things, so that your work with data has a business impact. In this presentation, the experts at Silicon Valley Data Science share their approach for crafting an actionable and flexible data strategy to maximize business value.
The Data Driven Enterprise - Roadmap to Big Data & Analytics SuccessBigInsights
The Data Driven Enterprise - Roadmap to Big Data & Analytics Success
Presentation used at the series of Breakfast seminar around Australia hosted by Lenovo/Intel/SAP/EY
Becoming a Data-Driven Organization - Aligning Business & Data StrategyDATAVERSITY
More organizations are aspiring to become ‘data driven businesses’. But all too often this aim fails, as business goals and IT & data realities are misaligned, with IT lagging behind rapidly changing business needs. So how do you get the perfect fit where data strategy is driven by and underpins business strategy? This webinar will show you how by de-mystifying the building blocks of a global data strategy and highlighting a number of real world success stories. Topics include:
•How to align data strategy with business motivation and drivers
•Why business & data strategies often become misaligned & the impact
•Defining the core building blocks of a successful data strategy
•The role of business and IT
•Success stories in implementing global data strategies
Are you an inquisitive person?
Do you have the enthusiasm and willingness to learn new topics?
Do you want to be a Data Scientist and make pots of money?
Do you like to know the future job prospects for Data Science?
Download my recent (12th January, 2021) presentation titled “Analytics – Future Trend and Job Prospects”.
DAMA Australia: How to Choose a Data Management ToolPrecisely
The explosion of data types, sources, and use cases makes it difficult to make the right decisions around the best data management tools for your organisation. Why do you need them? Who is going to use them? What is their value?
Watch this webinar on-demand to learn how to demystify the decision making process for the selection of Data Management Tools that support:
· Data governance
· Data quality
· Data modelling
· Master data management
· Database development
· And more
Learn How Memorial Hermann is Using Microsoft Dynamics CRM for Customer Engag...Perficient, Inc.
The presentation will discuss key components of Memorial Hermann’s deployed CRM solution:
Community outreach for potential patients to attract and track their interactions with the hospital, and to ultimately obtain more patients
Specialty group on-boarding process to automate the method of bringing rehab patients into the system for both inpatient and outpatient tracking
Call center technology replacement from an older stand-alone system to a connected CRM system, allowing the hospital to track inquiries concerning events and patient referrals via the phone and online
This presentation contains our view on how data can be Strategically managed and stewarded in an organization, and the categories where rules can be applied to facilitate that process.
Data is the lifeblood of just about every organization and functional area today. As businesses struggle to come to grips with the data flood, it is even more critical to focus on data as an asset that directly supports business imperatives as other organizational assets do. Organizations across most industries attempt to address data opportunities (e.g. Big Data) and data challenges (e.g. data quality) to enhance business unit performance. Unfortunately however, the results of these efforts frequently fall far below expectations due to haphazard approaches. Overall, poor organizational data management capabilities are the root cause of many of these failures. This webinar covers three lessons (illustrated by examples), which will help you to establish realistic OM plans and expectations, and help demonstrate the value of such actions to both internal and external decision makers.
Check out more of our webinars here: http://www.datablueprint.com/resource-center/webinar-schedule/
Five steps to launch your data governance officeDATAVERSITY
About the Webinar
DATAVERSITY and OONdada have teamed up to create a new, innovative Data Governance tool called DATAVERSITY DGO. This webinar will educate you on the philosophy behind that tool as it contains the processes, instructions, and guidance from the Data Governance Institute's Framework and Methodology.
In this webinar, you will learn the five fundamental steps to launching a Data Governance Office:
1. Establish Goals
2. Engage Stakeholders
3. Align Governance
4. Exercise Governance
5. Communicate Success
About the Speaker
Max Gano has an extensive background in data management, serving as Chief Data Architect for a Fortune 500 Bank. He is passionate about contributing to the increasing maturity of data management and governance practices as critical capabilities for any organization that seeks sustainable prosperity and growth. As the Principle Data Strategist for the Data Governance Institute, he worked with a range of major corporations and industry thought leaders to formulate successful strategies for governing and managing information and the operational processes required to achieve those objectives. With that goal in mind, Max has now turned his attention to establishing OONdada as a leader in online collaboration services.
Expert data analytics prove to be highly transformative when applied in context to corporate business strategies.
This webinar covers various approaches and strategies that will give you a detailed insight into planning and executing your Data Analytics projects.
Data Strategy - Executive MBA Class, IE Business SchoolGam Dias
For today's enterprise Data is now very much a corporate asset, vital to delivering products and services efficiently and cost effectively. There are few organizations that can survive without harnessing data in some way.
Viewed as a strategic asset, data can be a source of new internal efficiencies, improved competitive advantage or a source of entirely new products that can be targeted at your existing or new customers.
This slide deck contains the highlights of a one day course on Data Strategy taught as part of the Executive MBA Program at IE Business School in Madrid.
Creating a clearly articulated data strategy—a roadmap of technology-driven capability investments prioritized to deliver value—helps ensure from the get-go that you are focusing on the right things, so that your work with data has a business impact. In this presentation, the experts at Silicon Valley Data Science share their approach for crafting an actionable and flexible data strategy to maximize business value.
The Data Driven Enterprise - Roadmap to Big Data & Analytics SuccessBigInsights
The Data Driven Enterprise - Roadmap to Big Data & Analytics Success
Presentation used at the series of Breakfast seminar around Australia hosted by Lenovo/Intel/SAP/EY
Becoming a Data-Driven Organization - Aligning Business & Data StrategyDATAVERSITY
More organizations are aspiring to become ‘data driven businesses’. But all too often this aim fails, as business goals and IT & data realities are misaligned, with IT lagging behind rapidly changing business needs. So how do you get the perfect fit where data strategy is driven by and underpins business strategy? This webinar will show you how by de-mystifying the building blocks of a global data strategy and highlighting a number of real world success stories. Topics include:
•How to align data strategy with business motivation and drivers
•Why business & data strategies often become misaligned & the impact
•Defining the core building blocks of a successful data strategy
•The role of business and IT
•Success stories in implementing global data strategies
Are you an inquisitive person?
Do you have the enthusiasm and willingness to learn new topics?
Do you want to be a Data Scientist and make pots of money?
Do you like to know the future job prospects for Data Science?
Download my recent (12th January, 2021) presentation titled “Analytics – Future Trend and Job Prospects”.
DAMA Australia: How to Choose a Data Management ToolPrecisely
The explosion of data types, sources, and use cases makes it difficult to make the right decisions around the best data management tools for your organisation. Why do you need them? Who is going to use them? What is their value?
Watch this webinar on-demand to learn how to demystify the decision making process for the selection of Data Management Tools that support:
· Data governance
· Data quality
· Data modelling
· Master data management
· Database development
· And more
Learn How Memorial Hermann is Using Microsoft Dynamics CRM for Customer Engag...Perficient, Inc.
The presentation will discuss key components of Memorial Hermann’s deployed CRM solution:
Community outreach for potential patients to attract and track their interactions with the hospital, and to ultimately obtain more patients
Specialty group on-boarding process to automate the method of bringing rehab patients into the system for both inpatient and outpatient tracking
Call center technology replacement from an older stand-alone system to a connected CRM system, allowing the hospital to track inquiries concerning events and patient referrals via the phone and online
This presentation contains our view on how data can be Strategically managed and stewarded in an organization, and the categories where rules can be applied to facilitate that process.
Stop the madness - Never doubt the quality of BI again using Data GovernanceMary Levins, PMP
Does this sound familiar? "Are you sure those numbers are right?" "Why are your numbers different than theirs?"
We've all heard it and had that gut wrenching feeling of doubt that comes with uncertainty around the quality of the numbers.
Stop the madness! Presented in Dunwoody on April 18 by industry leading expert Mary Levins who discusseses what it takes to successfully take control of your data using the Data Governance Framework. This framework is proven to improve the quality of your BI solutions.
Mary is the founder of Sierra Creek Consulting
Federated data organizations in public sector face more challenges today than ever before. As discovered via research performed by North Highland Consulting, these are the top issues you are most likely experiencing:
• Knowing what data is available to support programs and other business functions
• Data is more difficult to access
• Without insight into the lineage of data, it is risky to use as the basis for critical decisions
• Analyzing data and extracting insights to influence outcomes is difficult at best
The solution to solving these challenges lies in creating a holistic enterprise data governance program and enforcing the program with a full-featured enterprise data management platform. Kreig Fields, Principle, Public Sector Data and Analytics, from North Highland Consulting and Rob Karel, Vice President, Product Strategy and Product Marketing, MDM from Informatica will walk through a pragmatic, “How To” approach, full of useful information on how you can improve your agency’s data governance initiatives.
Learn how to kick start your data governance intiatives and how an enterprise data management platform can help you:
• Innovate and expose hidden opportunities
• Break down data access barriers and ensure data is trusted
• Provide actionable information at the speed of business
Lower Total Cost of Care and Gain Valuable Patient Insights through Predictiv...Perficient, Inc.
Learn how predictive analytics for healthcare can enable your organization to make proactive decisions that can have a profound impact for both patients and care providers. We discuss current and emerging healthcare trends and the positive impact that predictive analytics can have on your organization by:
Optimizing Resource Utilization: Better allocate nurses, clinicians, diagnostic machinery and other resources by predicting future admission volumes
Enhancing Patient Care: Proactively treat patients by more accurately predicting the chance of a chronic condition or the response to medications and therapies
Improving Clinical Outcomes: Analyze treatment success rates to improve treatment plans, minimizing complications and readmissions
Increasing Income and Revenue: Prevent fraudulent behavior and identify opportunities to collect missing income
This introductory session on Wednesday 15 January covered the following:
- A review of what constitutes good data health
- Data health plan: data governance and how it can drive your business
- Overview of standard identifiers currently used in the scholarly publishing supply chain
- Introduction to Ringgold services and how we support our clients
A Case Study of the
Auckland District Health Board
Information Management and Technology Service
Johan Vendrig, Chief Information Officer
HINZ Conference Rotorua - October 2007
Presentation to introduce information governance. This should be used in conjunction with the paper I published on my website. A full information governance methodology, with research included from the foremost authorities on data governance.
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
Similar to Accelerating Your Move to Value-Based Care (20)
Modern Data Integration Expert Session Webinar ibi
William McKnight, President of McKnight Consulting Group and Information Builders’ Jake Freivald discuss the tools needed for a successful modern data integration.
Artificial Intelligence Expert Session Webinar ibi
Tom Redman of Data Quality Solutions and Information Builders' CMO Michael Corcoran share the latest on artificial intelligence trends in this webinar.
The Value of Improved Clinical Information Management for Payersibi
A solid strategy for managing clinical data offers providers a single, consistent, and accurate view of member care outside their practices. Payers can quickly identify gaps in care and alert providers to promote better outcomes. This new relationship paradigm, however, can only be successful if it is data-driven. View some possible enhancements.
Solving the BI Adoption Challenge With Report Consolidationibi
Check out the slides from a webcast with Rado Kotorov, chief innovation officer at Information Builders, on how to resolve data clutter in your organization with report consolidation.
View the webcast recording at: http://ow.ly/uzPP30alz3J
You know how much we love data, so to get in the spirit of the 2016 election season, we’ve collected some fun and interesting tidbits about U.S. presidential elections.
The third webcast in this series focuses on ways to meet your health system’s specific needs and achieve a 360-degree view of your patients, processes, physicians, and costs without purchasing multiple, disparate solutions, and creating information silos.
Our speakers discuss their collective experience in working with organizations to create tailored platforms that provide convenient access to data collected by, and stored in, disparate clinical information systems and enabling that data to be securely used by users throughout the broader healthcare community. Actionable data – available to all users when they need it – serves as a foundation for analysis and decision-making aimed at improving how care is delivered.
You can find it online at http://www.informationbuilders.com/webevents/online/24637#sthash.RnwoH27x.dpuf
Knowing that a problem exists is one thing. Knowing how to solve it efficiently and cost-effectively is another. Discover the core foundational requirements in UX and Design Thinking that are vital to the success of an application that gets optimal buy-in from your users. If you're looking to optimize data visualizations, dashboards, and reports for effective communication of key business metrics, this will put you on the right track.
Today's organizations contend with more diverse applications, data, and systems than ever before – silos that are often fragmented and difficult to leverage together. iWay Big Data Integrator (BDI) simplifies the creation, management, and use of Hadoop-based data lakes. It provides a modern, native approach to Hadoop-based data integration and management that ensures high levels of capability, compatibility, and flexibility to help your organization.
Join us to learn how you can simplify adoption of Apache Hadoop using iWay Big Data Integrator. Learn about our ability to streamline the deployment of ingestion, transformation, and extraction tasks.
See the pre-recorded webcast online at: http://www.informationbuilders.com/webevents/online/24427#sthash.J0cRy1PG.dpuf
Summer Shorts: Using Predictive Analytics For Data-Driven Decisionsibi
Predictive analytics has gained a lot of attention in recent years, enabling organizations to make better, faster, and more accurate business decisions. These decisions are applied across virtually all industries to generate revenue, reduce costs and risks, and improve processes.
See the pre-recorded webcast online at: http://www.informationbuilders.com/webevents/online/24374#sthash.FoJkEyuL.dpuf
Health Education on prevention of hypertensionRadhika kulvi
Hypertension is a chronic condition of concern due to its role in the causation of coronary heart diseases. Hypertension is a worldwide epidemic and important risk factor for coronary artery disease, stroke and renal diseases. Blood pressure is the force exerted by the blood against the walls of the blood vessels and is sufficient to maintain tissue perfusion during activity and rest. Hypertension is sustained elevation of BP. In adults, HTN exists when systolic blood pressure is equal to or greater than 140mmHg or diastolic BP is equal to or greater than 90mmHg. The
R3 Stem Cells and Kidney Repair A New Horizon in Nephrology.pptxR3 Stem Cell
R3 Stem Cells and Kidney Repair: A New Horizon in Nephrology" explores groundbreaking advancements in the use of R3 stem cells for kidney disease treatment. This insightful piece delves into the potential of these cells to regenerate damaged kidney tissue, offering new hope for patients and reshaping the future of nephrology.
India Clinical Trials Market: Industry Size and Growth Trends [2030] Analyzed...Kumar Satyam
According to TechSci Research report, "India Clinical Trials Market- By Region, Competition, Forecast & Opportunities, 2030F," the India Clinical Trials Market was valued at USD 2.05 billion in 2024 and is projected to grow at a compound annual growth rate (CAGR) of 8.64% through 2030. The market is driven by a variety of factors, making India an attractive destination for pharmaceutical companies and researchers. India's vast and diverse patient population, cost-effective operational environment, and a large pool of skilled medical professionals contribute significantly to the market's growth. Additionally, increasing government support in streamlining regulations and the growing prevalence of lifestyle diseases further propel the clinical trials market.
Growing Prevalence of Lifestyle Diseases
The rising incidence of lifestyle diseases such as diabetes, cardiovascular diseases, and cancer is a major trend driving the clinical trials market in India. These conditions necessitate the development and testing of new treatment methods, creating a robust demand for clinical trials. The increasing burden of these diseases highlights the need for innovative therapies and underscores the importance of India as a key player in global clinical research.
Antibiotic Stewardship by Anushri Srivastava.pptxAnushriSrivastav
Stewardship is the act of taking good care of something.
Antimicrobial stewardship is a coordinated program that promotes the appropriate use of antimicrobials (including antibiotics), improves patient outcomes, reduces microbial resistance, and decreases the spread of infections caused by multidrug-resistant organisms.
WHO launched the Global Antimicrobial Resistance and Use Surveillance System (GLASS) in 2015 to fill knowledge gaps and inform strategies at all levels.
ACCORDING TO apic.org,
Antimicrobial stewardship is a coordinated program that promotes the appropriate use of antimicrobials (including antibiotics), improves patient outcomes, reduces microbial resistance, and decreases the spread of infections caused by multidrug-resistant organisms.
ACCORDING TO pewtrusts.org,
Antibiotic stewardship refers to efforts in doctors’ offices, hospitals, long term care facilities, and other health care settings to ensure that antibiotics are used only when necessary and appropriate
According to WHO,
Antimicrobial stewardship is a systematic approach to educate and support health care professionals to follow evidence-based guidelines for prescribing and administering antimicrobials
In 1996, John McGowan and Dale Gerding first applied the term antimicrobial stewardship, where they suggested a causal association between antimicrobial agent use and resistance. They also focused on the urgency of large-scale controlled trials of antimicrobial-use regulation employing sophisticated epidemiologic methods, molecular typing, and precise resistance mechanism analysis.
Antimicrobial Stewardship(AMS) refers to the optimal selection, dosing, and duration of antimicrobial treatment resulting in the best clinical outcome with minimal side effects to the patients and minimal impact on subsequent resistance.
According to the 2019 report, in the US, more than 2.8 million antibiotic-resistant infections occur each year, and more than 35000 people die. In addition to this, it also mentioned that 223,900 cases of Clostridoides difficile occurred in 2017, of which 12800 people died. The report did not include viruses or parasites
VISION
Being proactive
Supporting optimal animal and human health
Exploring ways to reduce overall use of antimicrobials
Using the drugs that prevent and treat disease by killing microscopic organisms in a responsible way
GOAL
to prevent the generation and spread of antimicrobial resistance (AMR). Doing so will preserve the effectiveness of these drugs in animals and humans for years to come.
being to preserve human and animal health and the effectiveness of antimicrobial medications.
to implement a multidisciplinary approach in assembling a stewardship team to include an infectious disease physician, a clinical pharmacist with infectious diseases training, infection preventionist, and a close collaboration with the staff in the clinical microbiology laboratory
to prevent antimicrobial overuse, misuse and abuse.
to minimize the developme
Deep Leg Vein Thrombosis (DVT): Meaning, Causes, Symptoms, Treatment, and Mor...The Lifesciences Magazine
Deep Leg Vein Thrombosis occurs when a blood clot forms in one or more of the deep veins in the legs. These clots can impede blood flow, leading to severe complications.
Explore our infographic on 'Essential Metrics for Palliative Care Management' which highlights key performance indicators crucial for enhancing the quality and efficiency of palliative care services.
This visual guide breaks down important metrics across four categories: Patient-Centered Metrics, Care Efficiency Metrics, Quality of Life Metrics, and Staff Metrics. Each section is designed to help healthcare professionals monitor and improve care delivery for patients facing serious illnesses. Understand how to implement these metrics in your palliative care practices for better outcomes and higher satisfaction levels.
Medical Technology Tackles New Health Care Demand - Research Report - March 2...pchutichetpong
M Capital Group (“MCG”) predicts that with, against, despite, and even without the global pandemic, the medical technology (MedTech) industry shows signs of continuous healthy growth, driven by smaller, faster, and cheaper devices, growing demand for home-based applications, technological innovation, strategic acquisitions, investments, and SPAC listings. MCG predicts that this should reflects itself in annual growth of over 6%, well beyond 2028.
According to Chris Mouchabhani, Managing Partner at M Capital Group, “Despite all economic scenarios that one may consider, beyond overall economic shocks, medical technology should remain one of the most promising and robust sectors over the short to medium term and well beyond 2028.”
There is a movement towards home-based care for the elderly, next generation scanning and MRI devices, wearable technology, artificial intelligence incorporation, and online connectivity. Experts also see a focus on predictive, preventive, personalized, participatory, and precision medicine, with rising levels of integration of home care and technological innovation.
The average cost of treatment has been rising across the board, creating additional financial burdens to governments, healthcare providers and insurance companies. According to MCG, cost-per-inpatient-stay in the United States alone rose on average annually by over 13% between 2014 to 2021, leading MedTech to focus research efforts on optimized medical equipment at lower price points, whilst emphasizing portability and ease of use. Namely, 46% of the 1,008 medical technology companies in the 2021 MedTech Innovator (“MTI”) database are focusing on prevention, wellness, detection, or diagnosis, signaling a clear push for preventive care to also tackle costs.
In addition, there has also been a lasting impact on consumer and medical demand for home care, supported by the pandemic. Lockdowns, closure of care facilities, and healthcare systems subjected to capacity pressure, accelerated demand away from traditional inpatient care. Now, outpatient care solutions are driving industry production, with nearly 70% of recent diagnostics start-up companies producing products in areas such as ambulatory clinics, at-home care, and self-administered diagnostics.
Global launch of the Healthy Ageing and Prevention Index 2nd wave – alongside...ILC- UK
The Healthy Ageing and Prevention Index is an online tool created by ILC that ranks countries on six metrics including, life span, health span, work span, income, environmental performance, and happiness. The Index helps us understand how well countries have adapted to longevity and inform decision makers on what must be done to maximise the economic benefits that comes with living well for longer.
Alongside the 77th World Health Assembly in Geneva on 28 May 2024, we launched the second version of our Index, allowing us to track progress and give new insights into what needs to be done to keep populations healthier for longer.
The speakers included:
Professor Orazio Schillaci, Minister of Health, Italy
Dr Hans Groth, Chairman of the Board, World Demographic & Ageing Forum
Professor Ilona Kickbusch, Founder and Chair, Global Health Centre, Geneva Graduate Institute and co-chair, World Health Summit Council
Dr Natasha Azzopardi Muscat, Director, Country Health Policies and Systems Division, World Health Organisation EURO
Dr Marta Lomazzi, Executive Manager, World Federation of Public Health Associations
Dr Shyam Bishen, Head, Centre for Health and Healthcare and Member of the Executive Committee, World Economic Forum
Dr Karin Tegmark Wisell, Director General, Public Health Agency of Sweden
1. Accelerating Your Move to Value-Based Care
Achieving Information Management Maturity for Faster Results
1
Dan Schultz – Information Builders
Rahul Ghate – Prosperata
3. The Industry is Reacting to These Pressures
Consolidation, Mergers and Acquisitions
Ecosystem Convergence
Shared Risk/Savings
Evolution of Patient to Consumer
3
4. Today, It’s All About Facing Data Challenges…
Clinical Data Challenges
4
5. These Challenges Aren’t Small, Either…
Patient Matching
Difficult to identify across continuum of care
No common identification number for a person
IT Resource Staffing in Small Physician Groups
Lack dedicated staff
Little knowledge of IT requirements for data
sharing
Data Volumes
Overwhelming amount of data in healthcare
Vital to identify data relevant to clinical
measures that improve cost & quality of care
5
6. And Sometimes, It’s Process and Technology…
Incorrect Data
More harmful than a lack of
information
Leads to inaccurate or incomplete
treatment
Data Quality & Terminology Gaps
Provider systems struggle with
compatibility
Numerous standards and clinical
terminologies
Local proprietary codes need to map
standard codes
6
8. Omni-HealthData
A Person-based Information Management
solution for Health Insurers and Providers:
Pre-built data models for mastered and
transactional domains
Pre-built processing, quality, mastering,
and remediation rules
360 Degree View on Members/Patients
and Providers through Data and Analytics
8
What is Omni-HealthData?
9. Omni-HealthData
Programs & Applications
Quality Reporting Programs – HEDIS & STAR
Care coordination and Transition of Care in PCMH setting
Value based reimbursement models
Risk Stratification/Adjustment
Greatest details about patient health and risks
Validate risk assumptions and predictions
Optimize Utilization
Reduce/avoid redundant testing and variability in care
Address fraud or medically unnecessary utilization
Optimize Costs
Real time integration with HIEs and EMRs
Reduce manual chart chase
Member Outreach
Faster and more targeted campaigns
(High Risk Patients with multiple Chronic Conditions)
9
Business Value
Improved Patient and Provider Experience
Total cost of care and 360 view of patient
Timely intervention
Build trust – single version of truth across a
spectrum of care
10. Omni-HealthData
Richer Data Set
Vital Signs, Lab Results
Social History, Family History
More Complete Set of Diagnoses
More than just what physician bills in EMR
Clinical Data can be used to impute diagnosis
Timeliness
Clinical data is available near real-time
Claim data could be delayed by weeks
Longitudinal View
Patient history vs. particular Visit/Encounter
10
Clinical Data
Claims Data
Diagnoses
Family History
Social History
Vital Signs
Lab Results
11. Omni-HealthData
Map, Master, and Steward
Downstream apps
Provider relations
Claims adjudication
Analytics
Data warehouses
Data marts
External
Provider & member portals
Reimbursement
Onramps:
CCD,relational,XML,etc.
Consumption:
HEDISGrouper,CCD,views,etc.
Integrate, Cleanse,
Correlate, Steward
Reference
data
Code sets:
HLI
Internal data
Member (e.g., Initiate)
Claims
Eligibility
External data
Member
Administrative
Clinical (CCD, HL7, etc.)
Facility
Provider info
12. Omni-HealthData
Built from the Omni Repository
Consumption Views: De-normalized
for easy consumption in BI and
analytics
Metrics Views:
Pre-analyzed, materialized views
Supports standard volume and
quality metrics
Healthcare analytics and regulatory
metrics
HealthViews
Omni Repository
HV - Consumption Views
HealthViews - Metrics Views
Customer Queries / Presentation Views
Custom
Omni-HealthData Insights, WebFOCUS, Cohort Builder
16. 16
Tough Questions Require Better Analytics for Better
Decisions
We need to manage
diabetes populations. How
can I identify the population
and develop a strategy that
improves outcomes?
How can we maximize our
in-network referrals to
better accommodate
Veterans needs?
Healthcare
Executive
Our project portfolio is over
budget. How can I get to
the root-cause and turn this
around?
We need to reduce the
number of redundant MRIs
how can I identify the
outliers and prevent future
outliers?
The “tough” questions in healthcare are fundamentally enterprise data challenges and require a
comprehensive enterprise approach.
“Predicting and preparing for the world of tomorrow is no easy task. Reliably forecasting
outcomes, events, and patterns will in most cases require not only substantial data, but clean and
correct data, along with sophisticated models and analysis.”
HFMA - Healthcare Financial Management
22. 22
• Exhaustive list of enterprise data assets
organized by subject area, data quality and
ownership
Data Asset
Inventory
• Clear understanding of priorities of individual
business units and their dependence on
data/analytics
Business
Workload
Analysis
• Selection of the most viable architectural
components to solve business workloads
Architectural
Component
Mapping
• 3-5 year strategic yet practical roadmap,
ready for execution
3-5 Year
Execution
Roadmap
TYPICAL COMPONENTS OF IM STRATEGY INITIATIVE
24. 24
OngoingImprovementthroughMeasurement&Monitoring
Maturity: Informal Incipient Organized Operational Transformative
ORGANIZATION
Technical
Expertise
No experience managing formal
repository and workflow systems
Struggling 1.0 implementations of
some systems
More advanced version 2.0+
implementations of systems with
focus on business-critical content
Managing repository &
workflow systems is a core IT
skill, with mature systems in
place
Pro-active experimentation &
learning about emerging content
technologies
Business
Experience
Ignorance about value and role
of EIM
Growing sense of need for EIM,
supported by fragmented
initiatives
Departmental ownership of EIM
initiatives; analytical teams built
independently
Executive ownership of EIM as
a practice; process & data
analysis are core skills
Information management is a
required employee skill & part of
their HR reviews
Process Few or no standardized
procedures
Basic process analysis leads to
some ad-hoc information
workflows
Identification of interdepartmental
information dependencies, with
partial automation
Automated information
dissemination processes span
systems & departments
Robust processes to cover
exception-handling &
experimentation
Alignment Key business drivers are not well
understood by IT strategists,
resulting in EIM gaps in IT
portfolio
Improved IT-business
communication, but IT mostly
disconnected from business
outcomes
Sustained efforts for IT-business
collaboration, results still
dependent on negotiation
Execution of IT & business
strategies is cohesive, with
fewer instances of “push pull”
model
IT and business are true partners,
performance metrics fully aligned
with strategic business objectives
INFORMATION
Metadata No formal inventory or
classification
Departmental inventories and
initial content tagging
Enterprise inventory underway;
controlled vocabularies initiated
All new repositories & content
types registered; global
taxonomies created
Ongoing metadata reviews are
standard practice
Quality Data quality is an afterthought Ad-hoc initiatives and manual
interventions
Data quality criteria developed,
partially implemented
Data quality process
implemented and automated
Routine quality reviews and
proactive monitoring of data
processes
Lifecycle No lifecycle management Most content archived
haphazardly; some loose records
management (RM) initiatives
Development of formal electronic &
paper-based RM process;
implementation initiated
Implementation of electronic &
paper-based RM across the
enterprise
All content types go through formal
lifecycle management
Governance No policies & procedures Scattered policies; few or no
formal procedures
Development of information
governance structure & codification
of procedures
Policies & procedures widely
disseminated; Enterprise
ownership in place
Active review & adaptation;
executive support at highest levels
Re-use Content routinely duplicated Some informal consolidation
initiatives
Structured content analysis &
creation of mitigation plan
Information repurposed across
systems & channels
Checks in place to prevent future
duplication
Findability Information is hard to find,
requiring manual effort and
dependency on select few
Systems support search capability
with basic metadata applied
Controlled vocabulary terms
leveraged for search
Consolidation of search
capabilities across key systems
Implementation of enterprise &/or
federated search applications
APPLICATIONS
Analytics Focus on operational reporting Historical data analysis;
dashboards & scorecards
Ad-hoc analysis, information
delivery; what-if modeling;
forecasting
Pervasive self-service
capability; predictive analytics
for selected use cases
Deep predictive & prescriptive
analytics; routine experimentation
with new technologies
Architecture No architectural consistency
across systems
Initial attempts at reference
architecture; Documentation for
key areas
Reference architecture used for key
projects; Logical data model
available; Thorough documentation
Pervasive self-service
capability; predictive analytics
for selected use cases
Enterprise architecture adopted;
Architectural governance in place
Security No security regime in place Security dependent on capability
of individual systems
Formal projects initiated to address
gaps & redundancies due to
multiple solutions
Standardized policies &
procedures exist & are system
enabled
Security is a centralized shared
service; Proactive monitoring of
threats
Usability Lack of systems make end user Employee adoption rates Some initiatives use Scenario User-centered design underpins Usability is a guiding principle in all
YOUR IM JOURNEY: CURRENT STATE AND FUTURE TARGETS
27. 27
The organization
gets so complex
that traditional
management of
data assets is
not sufficient
Data security,
privacy and
quality concerns
Complex
regulatory,
compliance or
contractual
requirements
Weak alignment
between IT and
Business
lowering ability
to use data
assets
WHEN DO ORGANIZATIONS NEED DATA GOVERNANCE?
It’s not easy trying to move from volume based care to value based care. And it is only going to get more intense from CMS as they plan to have 50% of reimbursements tied to value by 2018.
It is only a matter of time before private insurer’s begin to adopt similar payment models.
Every day we hear of acquisitions and mergers occurring as a means of growing market share.
The historical lines between payers, hospitals and physicians are blurring.
More and more there is a push to share in risk with the hopes of savings being realized.
And the industry is having to adjust to a patient being a consumer and all the brand loyalty and competition that ensues to personalize the interaction.
How do you get the 360 degree view? Through bringing more data together and mastering it to get a richer and more complete data set.
Pre-Processing - using big data capabilities as a “landing zone” before determining what data should be moved to the data warehouse
Offloading - moving infrequently accessed data from data warehouses into enterprise-grade Hadoop
Exploration - using big data capabilities to explore and discover new high value data from massive amounts of raw data and free up the data warehouse for more structured, deep analytics.
Conceptual data model, Logical data model