The survey polled over 50 health systems to understand AI/ML adoption, challenges, and outlook. Key findings include:
- AI/ML adoption is higher among large health systems (> $1B revenue), with 71% of systems over $4B having adopted it
- Lack of clear use cases and ROI, skills shortage, and technology selection are top challenges for CIOs
- Clinical performance and operational improvements are top priority domains for seeing ROI from AI/ML
- While few health systems have large dedicated AI/ML teams now, 75% of large systems plan significant team growth in 3 years
Effective Population Health Management Means Being Able to Predict the FutureCitiusTech
This document discusses the concept of Predictive Analytics in Population Health Management (PHM), describes its various key components, application in PHM model, use cases, challenges and conclusion.
Streamline denial management process with intelligent automationRuchi Jain
Claim Denial management is a challenging process. Increased Denials can adversely affect revenue cycle operations. Ensuring accurate medical records can be difficult, with exponential growth in the administrative cost of denial claims. It can affect care delivery and hamper cash flow processes.
RPA (Robotic Process Automation) promises to automate various complex tasks for healthcare organizations – payers and providers – to improve member experience, lower costs and relieve employees from rising pressure of work. But when it comes to actual applications of RPA, most companies are having a difficult time. This brief eBook outlines the benefits, challenges, tools and key healthcare use cases of RPA that can help healthcare organizations boost their productivity.
CMS’ New Interoperability and Patient Access Proposed Rule - Top 5 Payer ImpactsCitiusTech
The recently proposed rule by the CMS introduces new policies to expand access to healthcare information and improve the seamless exchange of data in healthcare. This increased data sharing is a critical component of healthcare transformational efforts, and this eBook highlights the rules’ possible impact on payer systems and steps they need to take to manage this change effectively.
Healthcare Data Quality & Monitoring PlaybookCitiusTech
The healthcare industry has made significant strides across the care continuum, but incomplete and poor data quality still remains a challenge. In this brief playbook, we share key challenges, important quality checks, and a 4 step approach to enhance data quality.
The Future of RCM in Healthcare OrganizationsCitiusTech
This document / whitepaper talks about how healthcare technology companies can leverage emerging technologies to derive insights to improve their Revenue Cycle Management process.
Approach to enable your IT systems for FHIR (HL7 standards) complianceShubaS4
This summary deck discusses a practical, step-by-step approach to transform your IT systems for FHIR (HL7 standards) compliance, API-enablement of your legacy for an accelerated go to market using a library of tools and frameworks under the DigitMarket umbrella. It outlines different integration challenges such initiatives encounter and equips you to plan your compliance roadmap for FHIR.
Effective Population Health Management Means Being Able to Predict the FutureCitiusTech
This document discusses the concept of Predictive Analytics in Population Health Management (PHM), describes its various key components, application in PHM model, use cases, challenges and conclusion.
Streamline denial management process with intelligent automationRuchi Jain
Claim Denial management is a challenging process. Increased Denials can adversely affect revenue cycle operations. Ensuring accurate medical records can be difficult, with exponential growth in the administrative cost of denial claims. It can affect care delivery and hamper cash flow processes.
RPA (Robotic Process Automation) promises to automate various complex tasks for healthcare organizations – payers and providers – to improve member experience, lower costs and relieve employees from rising pressure of work. But when it comes to actual applications of RPA, most companies are having a difficult time. This brief eBook outlines the benefits, challenges, tools and key healthcare use cases of RPA that can help healthcare organizations boost their productivity.
CMS’ New Interoperability and Patient Access Proposed Rule - Top 5 Payer ImpactsCitiusTech
The recently proposed rule by the CMS introduces new policies to expand access to healthcare information and improve the seamless exchange of data in healthcare. This increased data sharing is a critical component of healthcare transformational efforts, and this eBook highlights the rules’ possible impact on payer systems and steps they need to take to manage this change effectively.
Healthcare Data Quality & Monitoring PlaybookCitiusTech
The healthcare industry has made significant strides across the care continuum, but incomplete and poor data quality still remains a challenge. In this brief playbook, we share key challenges, important quality checks, and a 4 step approach to enhance data quality.
The Future of RCM in Healthcare OrganizationsCitiusTech
This document / whitepaper talks about how healthcare technology companies can leverage emerging technologies to derive insights to improve their Revenue Cycle Management process.
Approach to enable your IT systems for FHIR (HL7 standards) complianceShubaS4
This summary deck discusses a practical, step-by-step approach to transform your IT systems for FHIR (HL7 standards) compliance, API-enablement of your legacy for an accelerated go to market using a library of tools and frameworks under the DigitMarket umbrella. It outlines different integration challenges such initiatives encounter and equips you to plan your compliance roadmap for FHIR.
Artificial intelligence (AI) truly is a disruptive force across all industries. One such industry that has been transformed by AI technologies is healthcare. So, in this post, we discuss the many roles of AI in today’s healthcare industry.
Visit: https://www.ezdi.com/blog/the-role-of-ai-in-healthcare/
5 Reasons Why Coding and Documentation Audits are More Important than EverezDI
Auditing is an integral aspect of governance and quality management for organizations across industries. From a hospital in New York benefitting by $1.03 million, to recovering $214 million from medical insurance schemes, here are 5 reasons why auditing is important in healthcare today.
Visit Our Website:- https://www.ezdi.com/
Computer assisted cdi your secret weapon to revenue generationezDI
The clinical documentation improvement (CDI) market is set to reach USD 4.5 billion by 2023, at a compound annual growth rate (CAGR) of 7.9%. And for good reason. With 23 states embracing a value-based care model to improve their healthcare systems, the spotlight is firmly on clinical documentation.
Provides an overview of the current revenue cycle management and its processes and offers a point-of-view on today’s RCM trends and areas of transformation.
Platforms and Partnerships: The Building Blocks for Digital InnovationHealth Catalyst
Virtually all service-oriented industries have experienced massive disruption and transformation, resulting from the confluence of digital, mobile, cloud, data, and consumerization. And then there’s healthcare…
In this webinar Ryan Smith, executive advisor at Health Catalyst, shares practical insights gained from his combined 25 years of IT and digital leadership roles at Banner Health and Intermountain Healthcare. He explores why our industry is struggling to provide the tools and self-service experiences that patients and consumers have come to expect in every other aspect of their lives. To attract and retain patients and members, healthcare organizations need to “shift gears” and go on the digital offensive to sustain brand loyalty; however, decades of siloed, monolithic approaches to implementing technology and managing data continue to hamper industry progress.
During this session, Ryan shares his approach for building business support to enable digital transformation.
By viewing this webinar, you will learn key digitization concepts:
- How to conceptualize a digital enablement framework.
- Ten strategic guiding principles for technology leaders.
- Why it’s vital to create business-driven technology governance.
- Why building strategic vendor partnerships really matters.
- How to apply case studies to bolster digital investments.
Provides an overview of various ACO models existing in U.S. healthcare, their evolution and performance over last 5-6 years and provide a perspective on each of the model
Improving Efficiency and Outcomes in Healthcare using Internet of ThingsCitiusTech
With the adoption of cloud and big data technologies, healthcare organizations are in a position to begin experimenting with IoT. Ranging from home care to smart facilities, there are many ways in which provider organizations can benefit by using IoT in their patient care workflows. E.g., a mobile app with patient geo-fencing capabilities can help optimize physician rounds by dynamically routing the physician to the nearest patient
Payers can leverage insights generated by IoT infrastructure to improve population health, increase patient awareness and reduce healthcare costs. Payers can also design more effective reward and retention programs using IoT generated data.
As IoT is evolving, adoption is slow but steady, and investments are being made by both startups and industry leaders. Healthcare is among the top 5 industries investing in IoT.
This document discusses how IoT can be leveraged to drive efficiency in healthcare workflows and enhance clinical outcomes.
Importance of URAC Accreditation for Health PlansCitiusTech
Utilization Review accreditation Commission (URAC) is one of the two major organizations which accredit health plans on various healthcare quality measures.It is a Washington DC-based, nonprofit, independent organization founded in 1990, recognized by 46 states, District of Columbia, and 6 federal agencies
What the ONC's Proposed Rule on Information Blocking Means for Your WorkHealth Catalyst
Information blocking has been a hot-button issue for years as it has impeded innovation and patient healthcare options for too long. The 21st Century Cures Act (Cures Act) sought to eliminate these problems but information blocking persisted. However, in February 2019 the Office of the National Coordinator for Health Information Technology (ONC) announced a proposed rule with consequences to non-compliance with the Cures Act that may finally force true interoperability. As a healthcare decision maker you have a real opportunity to build an innovation strategy around these changes. To learn how, view this webinar.
True data interoperability enables innovation and better patient experience. In aggregate, both of these activities have the potential to accelerate the shift away from fee-for-service and towards fee-for-value healthcare. Dan Orenstein has spent much of his career providing legal counsel to healthcare organizations on regulatory and risk management issues as well as how to implement growth initiatives that comply with healthcare laws and regulations. That experience has made him an expert in applying policy to healthcare strategy. He has studied the proposed rule and in this webinar he will provide a summary of the existing legislation, implications of non-compliance with the proposed rule as well as insight into putting it into practice.
View this webinar and learn:
- To identify information blocking practices
- Seven exceptions to the information blocking provision and how they may apply to your work
- Summary of the public comments about the proposed rule and the overall perception of it in the industry
- The potential impact to your healthcare organization
The convergence of health plans and healthcare providers has led to the growing importance for provider-led health plans (Payviders). This eBook highlights the data and technology capabilities necessary for Payvider organizations to optimize performance and drive operational efficiencies.
To view recording of this webinar please use the below link:
https://wso2.com/library/webinars/2015/02/connected-health-reference-architecture/
The key focus areas of this session are
Overview of healthcare IT landscape
Standards and protocols widely used in healthcare platforms
SOA is healthcare domain
Quality of services in healthcare platforms
A connected healthcare reference model
This group paper, written as a graduate student at CMU, attempts to define and summarize the huge challenge ahead of North American healthcare providers by illuminating current and future trends of healthcare business intelligence (BI); ramifications of EMR; the pros and cons of BI and analytics; the myriad ethical and privacy issues of big data’s role (normally associated with market share and profits); and lastly provide an industry overview of BI and analytics solutions specific to healthcare.
To view the 30+ page paper for which this presentation summarizes, please contact James Young via LinkedIn: https://www.linkedin.com/in/jamesyoung007
These slides are the property of Chilmark Research and have been published with their permission.
-
Population Health Management (PHM) has been in the health IT lexicon for nearly a decade, yet the industry still lacks a clear definition of how provider organizations extract value from their PHM initiatives. Part of the problem is that PHM is often defined as a technology solution when it, in fact, is not. Rather, PHM is a technology-enabled strategy that includes a multitude of capabilities (e.g., interoperability, analytics, care management, engagement, etc.) and services. Secondly, an organization adopts a PHM strategy to support its value-based care (VBC) contracts, but VBC remains an elusive target that is highly dependent on local and regional conditions.
In this presentation, John Moore briefly walks through the evolution of the PHM market and its increasingly integral tie to VBC and future technology and market trajectories. Highlighted topics include EHR versus best-of-breed solutions, FHIR and open APIs, and the increasing role of IT-enabled services.
Learning Objectives:
- Reframing PHM: Defining PHM as a strategy, not a product.
- Core elements of a technology-enabled PHM strategy.
- Moving organizational economics from fee-for-service to VBC and the role of Medicare Advantage.
- The impact of new interoperability efforts and trends to enable effective PHM strategies.
Your cognitive future: How next-gen computing changes the way we live and workIBM in Healthcare
The healthcare industry is undergoing significant change driven by six disruptive forces - rapid digitization, changing consumer expectations, regulatory complexities, increasing healthcare demand, shortage of skilled resources and elevating healthcare costs. To meet the implication of these forces, healthcare organizations must excel in engaging with consumers, discovering new ideas and taking effective decisions
Currently, traditional analytics capabilities are unable to exploit maximum value from the ever increasing data resource constraining organization’s achievements and performance. But cognitive computing has the ability to bridge this gap and can open up fresh opportunities for the healthcare industry. It is already helping healthcare organizations to provide personalized care, effective decisions and more innovative solutions.
Artificial Intelligence and Machine Learning in Healthcare: Four Real-World I...Health Catalyst
As COVID-19 has strained health systems clinically, operationally, and financially, advanced data science capabilities have emerged as highly valuable pandemic resources. Organizations use artificial intelligence (AI) and machine learning (ML) to better understand COVID-19 and other health conditions, patient populations, operational and financial challenges, and more—insights that are supporting pandemic response and recovery as well as ongoing healthcare delivery. Meanwhile, improved data science adoption guidelines are making implementation of capabilities such as AI and ML more accessible and actionable, allowing organizations to achieve meaningful short-term improvements and prepare for an emergency-ready future.
Artificial intelligence (AI) truly is a disruptive force across all industries. One such industry that has been transformed by AI technologies is healthcare. So, in this post, we discuss the many roles of AI in today’s healthcare industry.
Visit: https://www.ezdi.com/blog/the-role-of-ai-in-healthcare/
5 Reasons Why Coding and Documentation Audits are More Important than EverezDI
Auditing is an integral aspect of governance and quality management for organizations across industries. From a hospital in New York benefitting by $1.03 million, to recovering $214 million from medical insurance schemes, here are 5 reasons why auditing is important in healthcare today.
Visit Our Website:- https://www.ezdi.com/
Computer assisted cdi your secret weapon to revenue generationezDI
The clinical documentation improvement (CDI) market is set to reach USD 4.5 billion by 2023, at a compound annual growth rate (CAGR) of 7.9%. And for good reason. With 23 states embracing a value-based care model to improve their healthcare systems, the spotlight is firmly on clinical documentation.
Provides an overview of the current revenue cycle management and its processes and offers a point-of-view on today’s RCM trends and areas of transformation.
Platforms and Partnerships: The Building Blocks for Digital InnovationHealth Catalyst
Virtually all service-oriented industries have experienced massive disruption and transformation, resulting from the confluence of digital, mobile, cloud, data, and consumerization. And then there’s healthcare…
In this webinar Ryan Smith, executive advisor at Health Catalyst, shares practical insights gained from his combined 25 years of IT and digital leadership roles at Banner Health and Intermountain Healthcare. He explores why our industry is struggling to provide the tools and self-service experiences that patients and consumers have come to expect in every other aspect of their lives. To attract and retain patients and members, healthcare organizations need to “shift gears” and go on the digital offensive to sustain brand loyalty; however, decades of siloed, monolithic approaches to implementing technology and managing data continue to hamper industry progress.
During this session, Ryan shares his approach for building business support to enable digital transformation.
By viewing this webinar, you will learn key digitization concepts:
- How to conceptualize a digital enablement framework.
- Ten strategic guiding principles for technology leaders.
- Why it’s vital to create business-driven technology governance.
- Why building strategic vendor partnerships really matters.
- How to apply case studies to bolster digital investments.
Provides an overview of various ACO models existing in U.S. healthcare, their evolution and performance over last 5-6 years and provide a perspective on each of the model
Improving Efficiency and Outcomes in Healthcare using Internet of ThingsCitiusTech
With the adoption of cloud and big data technologies, healthcare organizations are in a position to begin experimenting with IoT. Ranging from home care to smart facilities, there are many ways in which provider organizations can benefit by using IoT in their patient care workflows. E.g., a mobile app with patient geo-fencing capabilities can help optimize physician rounds by dynamically routing the physician to the nearest patient
Payers can leverage insights generated by IoT infrastructure to improve population health, increase patient awareness and reduce healthcare costs. Payers can also design more effective reward and retention programs using IoT generated data.
As IoT is evolving, adoption is slow but steady, and investments are being made by both startups and industry leaders. Healthcare is among the top 5 industries investing in IoT.
This document discusses how IoT can be leveraged to drive efficiency in healthcare workflows and enhance clinical outcomes.
Importance of URAC Accreditation for Health PlansCitiusTech
Utilization Review accreditation Commission (URAC) is one of the two major organizations which accredit health plans on various healthcare quality measures.It is a Washington DC-based, nonprofit, independent organization founded in 1990, recognized by 46 states, District of Columbia, and 6 federal agencies
What the ONC's Proposed Rule on Information Blocking Means for Your WorkHealth Catalyst
Information blocking has been a hot-button issue for years as it has impeded innovation and patient healthcare options for too long. The 21st Century Cures Act (Cures Act) sought to eliminate these problems but information blocking persisted. However, in February 2019 the Office of the National Coordinator for Health Information Technology (ONC) announced a proposed rule with consequences to non-compliance with the Cures Act that may finally force true interoperability. As a healthcare decision maker you have a real opportunity to build an innovation strategy around these changes. To learn how, view this webinar.
True data interoperability enables innovation and better patient experience. In aggregate, both of these activities have the potential to accelerate the shift away from fee-for-service and towards fee-for-value healthcare. Dan Orenstein has spent much of his career providing legal counsel to healthcare organizations on regulatory and risk management issues as well as how to implement growth initiatives that comply with healthcare laws and regulations. That experience has made him an expert in applying policy to healthcare strategy. He has studied the proposed rule and in this webinar he will provide a summary of the existing legislation, implications of non-compliance with the proposed rule as well as insight into putting it into practice.
View this webinar and learn:
- To identify information blocking practices
- Seven exceptions to the information blocking provision and how they may apply to your work
- Summary of the public comments about the proposed rule and the overall perception of it in the industry
- The potential impact to your healthcare organization
The convergence of health plans and healthcare providers has led to the growing importance for provider-led health plans (Payviders). This eBook highlights the data and technology capabilities necessary for Payvider organizations to optimize performance and drive operational efficiencies.
To view recording of this webinar please use the below link:
https://wso2.com/library/webinars/2015/02/connected-health-reference-architecture/
The key focus areas of this session are
Overview of healthcare IT landscape
Standards and protocols widely used in healthcare platforms
SOA is healthcare domain
Quality of services in healthcare platforms
A connected healthcare reference model
This group paper, written as a graduate student at CMU, attempts to define and summarize the huge challenge ahead of North American healthcare providers by illuminating current and future trends of healthcare business intelligence (BI); ramifications of EMR; the pros and cons of BI and analytics; the myriad ethical and privacy issues of big data’s role (normally associated with market share and profits); and lastly provide an industry overview of BI and analytics solutions specific to healthcare.
To view the 30+ page paper for which this presentation summarizes, please contact James Young via LinkedIn: https://www.linkedin.com/in/jamesyoung007
These slides are the property of Chilmark Research and have been published with their permission.
-
Population Health Management (PHM) has been in the health IT lexicon for nearly a decade, yet the industry still lacks a clear definition of how provider organizations extract value from their PHM initiatives. Part of the problem is that PHM is often defined as a technology solution when it, in fact, is not. Rather, PHM is a technology-enabled strategy that includes a multitude of capabilities (e.g., interoperability, analytics, care management, engagement, etc.) and services. Secondly, an organization adopts a PHM strategy to support its value-based care (VBC) contracts, but VBC remains an elusive target that is highly dependent on local and regional conditions.
In this presentation, John Moore briefly walks through the evolution of the PHM market and its increasingly integral tie to VBC and future technology and market trajectories. Highlighted topics include EHR versus best-of-breed solutions, FHIR and open APIs, and the increasing role of IT-enabled services.
Learning Objectives:
- Reframing PHM: Defining PHM as a strategy, not a product.
- Core elements of a technology-enabled PHM strategy.
- Moving organizational economics from fee-for-service to VBC and the role of Medicare Advantage.
- The impact of new interoperability efforts and trends to enable effective PHM strategies.
Your cognitive future: How next-gen computing changes the way we live and workIBM in Healthcare
The healthcare industry is undergoing significant change driven by six disruptive forces - rapid digitization, changing consumer expectations, regulatory complexities, increasing healthcare demand, shortage of skilled resources and elevating healthcare costs. To meet the implication of these forces, healthcare organizations must excel in engaging with consumers, discovering new ideas and taking effective decisions
Currently, traditional analytics capabilities are unable to exploit maximum value from the ever increasing data resource constraining organization’s achievements and performance. But cognitive computing has the ability to bridge this gap and can open up fresh opportunities for the healthcare industry. It is already helping healthcare organizations to provide personalized care, effective decisions and more innovative solutions.
Artificial Intelligence and Machine Learning in Healthcare: Four Real-World I...Health Catalyst
As COVID-19 has strained health systems clinically, operationally, and financially, advanced data science capabilities have emerged as highly valuable pandemic resources. Organizations use artificial intelligence (AI) and machine learning (ML) to better understand COVID-19 and other health conditions, patient populations, operational and financial challenges, and more—insights that are supporting pandemic response and recovery as well as ongoing healthcare delivery. Meanwhile, improved data science adoption guidelines are making implementation of capabilities such as AI and ML more accessible and actionable, allowing organizations to achieve meaningful short-term improvements and prepare for an emergency-ready future.
Healthcare Digital Transformation - Outlook and recommendations for 2019Damo Consulting Inc.
In our inaugural review of healthcare’s digital transformation, we assess the current state of digital, analytics, and technology-led innovation in healthcare, and offer our recommendations to healthcare enterprises and technology solution providers.
Our analysis regarding the evolution of what we believe is the development of the Healthcare Cloud. We discuss the siloed nature of HCIT in terms of legacy and cloud and discuss how we believe entities need to shift from point to platform solutions over time. We also lay out the fundamental underpinnings of what makes a compelling digital healthcare investment.
The creation of holistic healthcare ecosystems under the moniker of Talent Management will roll-up CME providers into a few large one-stop shops. Current CME providers will either be acquired or marginalized as these new ecosystems in Talent Management begin to make use of big data to create efficiencies and capabilities never before imagined.
"Budget + Strategy: Tipping the Balance (Sheet) in Your Favor" WebinarBluespire Marketing
During this BlueSpire TrendLab webinar, our marketing experts analyze results from an exclusive BlueSpire poll on what marketers are experiencing with budgeting and strategic planning.
Among the many things discussed during the webinar were:
- How financial and healthcare marketers are approaching/handling strategic planning and budgeting.
- The importance of tracking, measuring and reporting, all key elements to consider when deciding how to target audiences and get budgets approved.
- Specific recommendations that can be implemented at any type of organization, including those in highly regulated industries.
How to Leverage Increased Data Granularity in the ICD-10 Code SetPerficient, Inc.
A webinar designed for healthcare professionals. We explore how to leverage the increased data granularity in the ICD-10 code set. While there are risks, a properly executed ICD-10 implementation will deliver plentiful rewards.
Prescriptions for Healthcare's Digital CIOsCognizant
Healthcare CIOs are poised to expand their influence amid a perfect storm of regulatory and market forces that require a digital response. Our latest research reveals the new work styles and mindsets CIOs should adopt to prepare for this important organizational role.
COVID-19 has increased the need for intelligent decisioning through AI, but ROI is not guaranteed. Here's how to accelerate AI outcomes, according to our recent study.
Strategic Enabler: The New Healthcare CFOaccenture
Healthcare CFOs are pivoting to a more strategic and far-reaching role with data and analytics for pricing transparency and boosting revenues. Learn more: https://accntu.re/2UFsx39
The Work Ahead: Moving Healthcare Organizations into the Digital AgeCognizant
For healthcare payers and providers, the digital revolution offers a powerful prescription for transforming an industry value chain in need of drastic modernization. In this installment of our Work Ahead research series, we look at the way forward to the future of work for healthcare.
Silicon Valley Bank's Life Science and Healthcare Startup Outlook Report examines how the industry's executives view 2017's opportunities and challenges. The report includes startups' thoughts on public policy issues as well as their expectations for fundraising and hiring.
Healthcare IT Services Insights - January 2016Duff & Phelps
This issue of Healthcare IT Insights details the increased use of predictive analytics in the healthcare industry to reduce costs and improve outcomes for patients and populations. Predictive analytics can address three categories that unnecessarily cost the healthcare delivery system in the U.S. approximately $350 billion annually: overtreatment, care delivery failure and lack of care coordination.
Member Engagement Using Sentiment Analysis for Health PlansCitiusTech
Sentiment analysis (or opinion mining) is a natural language processing technique used to determine whether data is positive, negative or neutral. Sentiment analysis for health plans deals with member opinions to improve healthcare services and patient experience.
Evolving Role of Digital Biomarkers in HealthcareCitiusTech
As the adoption of remote monitoring, wearable devices and mobile applications grows, digital biomarkers will play a significant role in better disease identification and health management.
Virtual Care: Key Challenges & Opportunities for Payer Organizations CitiusTech
The pandemic has increased interest in the use of telehealth services by providers and patients. Payers are steadily recognizing the need for "virtual-first" health plans to provide consumers with quick access while ensuring significant cost savings.
CMS Medicare Advantage 2021 Star Ratings: An AnalysisCitiusTech
This report is intended for business, consulting, and technology audience who are actively engaged, or impacted, with the functioning of Medicare Advantage Star ratings, to help them align their star improvement initiatives to the market trends.
Accelerate Healthcare Technology Modernization with Containerization and DevOpsCitiusTech
As healthcare industry evolves, organizations and technology companies need to address issues around quality, consistency, and speed to market initiatives. DevOps with containerization gives them a strategic advantage as they build and accelerate modernization.
Leveraging Analytics to Identify High Risk PatientsCitiusTech
A predictive analytics platform can help healthcare providers identify which patients and team members could be at the highest risk for severe illness / hospitalization.
Health plans must systematically engage with providers to ensure better cost, care, quality, and revenue outcomes. Improved provider engagement enables interactive closure of care gaps and allows providers to proactively improve payer quality scores.
Demystifying Robotic Process Automation (RPA) & Automation TestingCitiusTech
Although RPA and automation testing are two different aspects of automation, both have certain similarities too. Here’s our perspective to debunk all myths and highlights facts around RPA and automation testing.
NLP (Natural Language Processing) shows a great deal of potential for many applications in the healthcare industry. This document shares 6 promising use cases for NLP to manage Epilepsy treatment effectively.
Opioid Epidemic - Causes, Impact and FutureCitiusTech
In 2017, everyday, more than 130 people died in the US after overdosing on opioids. This document talks about America's worst drug crisis ever and shares how technology can play a role to cope up with this epidemic.
Rising Importance of Health Economics & Outcomes ResearchCitiusTech
Health Economics & Outcomes Research (HE&OR) guides stakeholders to make informed decisions regarding patient access to drugs and services. This document highlights specific use cases for healthcare information technology that add value to HE&OR.
The World Health Organization (WHO) released the new International Classification of Disease (ICD-11) which would come into effect in January 2022. This document takes a closer look at revisions made to the document and its possible impact on healthcare payers.
Driving Home Health Efficiency through Data AnalyticsCitiusTech
This whitepaper highlights how data analytics can help track key performance indicators to drive clinical, financial and operational efficiency to improve quality of home health in an efficient manner.
Poster Presentation - FDA Compliance Landscape & What it Means to Your AI Asp...CitiusTech
CitiusTech delivered a poster presentation on the FDA compliance landscape (PMA, De Novo, 510k and Pre Cert) and its implication on AI in Healthcare, at the Mayo Clinic AI Symposium earlier this year.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Mission to Decommission: Importance of Decommissioning Products to Increase E...
AI in Healthcare Readiness Report 2019
1. The 2019 CitiusTech ‘AI in Healthcare’ Readiness
Survey polled over 50 health systems to develop
an industry viewpoint and key insights on the
state of AI/ML adoption, key challenges and the
near-term outlook for healthcare providers.
Survey hosted by
Are Healthcare Providers
Ready for AI/ML?
2019 CitiusTech Survey
CHIME Foundation
2. AI/ML: The next wave of
healthcare disruption
CitiusTech’s 2019 ‘AI in Healthcare’ Readiness Survey of
CHIME CIOs received responses from 50+ key IT
decision makers of health systems. 35% of respondents
were from large health systems ($1bn or more in
revenues) and had a nearly equal distribution of urban
versus semi-urban coverage.
The survey results indicate that there is significant
optimism among CIOs and healthcare technology
executives around AI/ML. As adoption becomes
mainstream, getting the right clinical / operational use
cases, model development, technology selection and
finding / retaining talent top the CIO’s priority list.
While challenges remain, the next few years will see
health systems derive real ROI from AI/ML initiatives,
through smarter, faster processes, enhanced clinical
quality, lower costs and better care.
12019 CitiusTech ‘AI in Healthcare’ Readiness Survey
Survey Indicators
of health systems with
revenue of $4B+ have been
early adopters of AI/ML
felt that lack of use case /
ROI clarity is a major
challenge
of large health systems
(revenue of $1B+) plan to
use third party software
vendors for AI/ML needs
of health systems with $2B
or more in revenue are
likely to make significant
investments in AI/ML teams
over the next 3 years
71%
58%
59%
75%
3. AI in healthcare is starting to take off, and large
health system CIOs are fast getting onboard
Healthcare IT leaders have significant challenges in
AI/ML e.g., ROI clarity, access to skill
Healthcare organizations are flexible with their
AI/ML strategies and execution options
Clinical and operational performance are high on
the healthcare AI/ML priority list
Healthcare organizations have not yet invested
significantly in AI/ML teams
Healthcare organizations will grow their AI/ML
budgets and teams over the next 3 years
1
2
3
4
5
6
Key Survey Insights
2 2019 CitiusTech ‘AI in Healthcare’ Readiness Survey
4. What we heard
▪ Overall, only 40% of participants say that they have begun their
AI/ML journey, and only 4% believe they are past the initial phase
and are now cruising
▪ In health systems with $1B+ in revenue, 62% have started with
AI/ML, as compared to 28% in companies under $1B
▪ 71% of health systems larger than $4B in revenue have already
taken off with AI/ML, which is significantly higher adoption than
smaller health systems (revenue less than $4bn)
Our perspective
AI/ML in healthcare is starting to take off in large health systems.
There seems to be a direct correlation between company size and
early AI/ML adoption. Over the next few years, we can expect large
health systems to pave the way in terms of best practices, clinical
models and development of key use cases.
Where are you on the AI/ML journey?
AI in healthcare is starting to take off, and large health
system CIOs are fast getting onboard1
All health systems
60%
not taken
off yet
36%
just took off
4%
took off and
cruising
Taken off – by size ($B)
<1 <1-2 <2-4 >4
28%
50%
60%
71%
32019 CitiusTech ‘AI in Healthcare’ Readiness Survey
5. Healthcare IT leaders have significant challenges in
AI/ML e.g., ROI clarity, access to skill2
What we heard
▪ 58% of respondents stated that use case / ROI clarity was a key
challenge in AI/ML adoption amongst companies
▪ The ability to develop an AI/ML team was the next key area that
42% of respondents felt would affect their AI/ML adoption plans
▪ Technology and skill concerns are more acute with the large
health systems (more than $4B in revenue) – 57% felt that these
were key challenges
Our perspective
Lack of clarity around use cases and availability of skills are the
primary roadblocks for adoption of AI/ML by health systems.
Availability of experienced AI/ML professionals is a significant issue
across all industries and unlikely to be resolved soon. Large health
systems can collaborate with strategic technology partners with
deep clinical knowledge – to develop use cases, validate ROI,
choose the right technology / tools and provide AI/ML skills.
What are the biggest challenges in
your AI/ML journey?
Use case /
ROI clarity
58%
Tools /
technology
Build / retain
team
Quantity /
quality of data
Leadership
buy-in
42%
36%
29%
22%
Health system challenges
around AI/ML
4 2019 CitiusTech ‘AI in Healthcare’ Readiness Survey
6. Healthcare organizations are flexible with their AI/ML
strategies and execution options3
What we heard
▪ 69% of companies with $1B+ in revenue said that they would
prefer to build their own AI/ML models and pipeline
▪ The inclination to use third party software vendors for AI/ML
needs is significant (59%) for health systems with $1BN+ in
revenue. This goes up to 86% for companies which are $4B or
more in revenue
Our perspective
As AI/ML budgets start to grow and ROI-positive use cases evolve,
large health systems will focus their energies on developing custom
AI/ML models, and will require teams with strong skills around
statistical modeling, predictive analytics and machine learning.
However, for effective operationalization of data models, it would
be more effective to leverage technology companies that can
provide pre-built AI/ML components and tools for standard
healthcare use cases.
How would you best describe your
AI/ML strategy?
Own AI/ML
models
Software
vendors
3rd party
models
Only validated
models
45%
69%
59% 56%
34%
44%
10%
All health systems
Software
vendors
3rd party
models
Own AI/ML
models
86%
57%
57%
Health systems with $4B+ revenue
Revenue <$1B
Revenue >$1B
52019 CitiusTech ‘AI in Healthcare’ Readiness Survey
7. Clinical and operational performance are high on the
healthcare AI/ML priority list4
What we heard
▪ Health systems see clinical performance (80%) as the domain
that is likely to provide the best ROI from AI/ML initiatives
▪ For companies greater than $2B in revenue, 92% of respondents
said that clinical performance would provide the best ROI
▪ Operational performance is the next priority at 64% across all
health systems
Our perspective
Most healthcare organizations that have already begun working on
AI/ML pilots have taken up common use cases under clinical and
operational performance - such as decision support, clinical
documentation, population health, gaps-in-care, utilization, denials,
etc. To derive strong ROI, health systems will need to have
significant availability of high quality data (i.e., strong data
management capabilities), and the ability to integrate AI/ML results
into their clinical and operational workflows
Which domain is likely to provide the
best ROI in AI/ML?
All health systems Revenue > $2B
Clinical
Performance
Operational
Performance
Financial
Performance
80%
92%
64% 67%
44% 42%
6 2019 CitiusTech ‘AI in Healthcare’ Readiness Survey
8. Healthcare organizations have not yet invested
significantly in AI/ML teams5
What we heard
▪ Only 31% of respondents said that their organizations have at
least a core AI/ML team (5 or more members) in place today
▪ The investment in AI/ML teams is much higher in larger health
systems. 50% of health systems with revenue of $2B and above
have 5 or more members in their AI/ML teams
▪ 33% of companies greater than $2B in revenue have larger teams
(between 10 and 50 members)
Our perspective
Most organizations have not yet begun setting up AI/ML teams.
Investments in AI/ML teams are limited to pilot initiatives. As
expected, larger health systems are ahead when it comes to scaling
up their AI/ML talent pool.
High turnover of AI/ML professionals means that small team sizes
carry higher execution risks. Partnering with third party AI/ML
vendors is an alternate option for health systems.
All health systems
69%
less than 5
18%
5 to 10
11%
10 to 20
2%
20 to 50
Health systems with $2B+ revenue
50%
less than 5 17%
5 to 10
25%
10 to 20
8%
20 to 50
72019 CitiusTech ‘AI in Healthcare’ Readiness Survey
How large is your AI/ML team?
9. Healthcare organizations will grow their AI/ML budgets &
teams over the next 3 years6
How large will your AI/ML team likely
be in the next 3 years?
What we heard
▪ 58% of healthcare organizations are expected to have AI/ML
team sizes of 5 or more members, as compared to 31% today
▪ The largest shift in adoption will be among health systems with
$2B or more in revenue. Within this group 50% of companies
would have AI/ML teams with 20 to 50 members
▪ 25% of these companies with $2B+ revenue would have very
large teams (more than 50 members)
Our perspective
Over the next 3 years, mainstream adoption of AI/ML technology by
health systems will lead to greater spends and demand for data
scientists. Finding skills around AI/ML tools, statistical modelling,
predictive analytics, Big Data processing, etc. will become a key
priority. We can expect larger spends on acquiring top talent.
All health systems
42%
less than 5
22%
5 to 10
9%
10 to 20
20%
20 to 50
7%
over 50
Health systems with $2B+ revenue
50%
20 to 50
8%
less than 5
8%
5 to 10
8%
10 to 20
25%
over 50
8 2019 CitiusTech ‘AI in Healthcare’ Readiness Survey
10. Conclusion: AI in healthcare – organizations have not
taken off completely, but are well on their way
Overall, the survey results show that AI/ML is an area
that will see significant investments in the healthcare
industry over the next 3 to 5 years.
A key imperative for healthcare organizations as well as
healthcare technology vendors is to demonstrate strong
ROI-driven use cases that leverage AI techniques to
solve real-world problems. CIOs and IT decision makers
will also need to make a number of strategic choices
around tools and technologies that are best suited for
their unique business challenges.
Success of AI/ML initiatives will depend significantly on
data quality (i.e., strong data management capabilities),
and how effectively AI/ML tools and models are
integrated with clinical and operational workflows.
Consequently, as AI/ML initiatives grow within
healthcare organizations, CIOs need to rethink their
approach to managing data and workflows.
CitiusTech’s Data Science & Consulting Proficiency is
uniquely positioned to help clients drive their AI/ML
strategy across multiple dimensions, including:
Data science consulting
▪ Understanding business problem and workflows
▪ Assessment of current technology and data readiness
Model development
▪ Data cleansing and quality scorecard
▪ Exploratory data analysis (EDA)
▪ Data mining dashboards for actionable insights
▪ Development of custom AI/ML models
Model operationalization
▪ External Model Validation and Model Refinement
▪ Model integration with existing infrastructure
▪ Model output integration with existing workflows &
client applications
92019 CitiusTech ‘AI in Healthcare’ Readiness Survey
11. CitiusTech data science &
consulting proficiency
The Data Science & Consulting Proficiency is a multi-
disciplinary team of 200+ professionals – data scientists,
business analysts, statisticians, data architects, business
process consultants and clinical informatics
professionals. The team has strong expertise across AI
and machine learning applications - NLP, chatbots,
image analytics and Big Data analytics.
Medictiv
Medictiv is an end-to-end suite of analytics tools and
services to assist healthcare organizations in leveraging
their data assets to derive actionable insights.
Medictiv offers strong capabilities for statistical mining,
predictive modeling, machine learning, model lifecycle
management and AI techniques. It enables healthcare
organizations to integrate these techniques into their
day-to-day operations to enhance clinical performance,
derive powerful insights and augment decision making
at the point of care.
Recent Work
Clinical Text Analysis
Developed an NLP system (based on Apache cTAKES)
that extracts and processes clinical notes for structured
output and auto-mapping to clinical codes / standards.
Patient Risk Stratification
Designed and developed a predictive analytics
dashboard to identify high-risk Chronic Kidney Disease
(CKD) patients progressing towards ESRD.
Readmission Management
Developed regression-based predictive model to
improve interventions and reduce readmissions.
Denials Management
Developed statistical models to predict status of claims
and denials, optimize workflows and lower the
probability of denials.
10 2019 CitiusTech ‘AI in Healthcare’ Readiness Survey
12. CitiusTech enables healthcare organizations to drive
clinical value chain excellence, across integration &
interoperability, data management (EDW, Big Data),
performance management (BI / analytics), AI/ML
(predictive analytics, Machine Learning, AI) and digital
engagement (mobile, IoT).
CitiusTech helps customers accelerate innovation in
healthcare through specialized solutions, healthcare
technology platforms, proficiencies and accelerators.
With cutting-edge technology expertise, world-class
service quality and a global resource base, CitiusTech
consistently delivers best-in-class solutions and an
unmatched cost advantage to healthcare
organizations worldwide.
To know more about CitiusTech, visit
www.citiustech.com
CitiusTech: Accelerating
innovation in healthcare
3,500+
healthcare technology
professionals worldwide
200+
data Science &
consulting professionals
700+
performance management
professionals
800+
data management
professionals
1,500+
product engineers
112019 CitiusTech ‘AI in Healthcare’ Readiness Survey
13. 12 2019 CitiusTech ‘AI in Healthcare’ Readiness Survey
CitiusTech Key Contacts
Fernando has 20 years of experience
in Data Science and Mathematics.
He has spent 15+ years in academia,
including Tenured Professorship at
the University of Tennessee. He has
extensive AI/ML experience across
provider, payer, life sciences,
diagnostics and digital advertising.
Prior to CitiusTech, Fernando was
the Chief Data Scientist and Head of
AI at Prognos.ai, a NYC-based
Healthcare startup. He holds a PhD
in Mathematics from Cornell
University and an Engineering
Degree in Applied Mathematics.
Email Fernando at:
fernando.schwartz@citiustech.com
Fernando Schwartz
Vice President
Data Science & Consulting
CitiusTech
Abhay has over 20 years of
professional experience in
healthcare professional services,
population health, ACO, emerging
technologies (Big Data, Cloud,
Mobile Enablement), integration
(EMR, PMS, Claims, Labs, Orders,
etc.), revenue cycle, analytics, supply
chain, enterprise architecture. At
CitiusTech, Abhay heads Account
Management, Sales and Partner
Channels for the Provider market.
He holds a Bachelors degree in
Technology and Masters in Business
Administration.
Email Abhay at:
abhay.singhal@citiustech.com
Abhay Singhal
Vice President
Provider Market
CitiusTech
Dhaval has over 20 years of
experience in healthcare
technology, spanning various
domains including healthcare
interoperability and enterprise
application architecture. At
CitiusTech, Dhaval heads strategic
partnership management for large
healthcare organizations.
Prior to CitiusTech, Dhaval worked
with leading healthcare
organizations and contributed in
different roles such as Research
Engineer, Lead Engineer and Chief
Architect.
Email Dhaval at:
dhaval.shah@citiustech.com
Dhaval Shah
Sr. Vice President
Healthcare Technology
CitiusTech
14. This document is confidential and contains proprietary information, including trade secrets of CitiusTech. Neither the document
nor any of the information contained in it may be reproduced or disclosed to any unauthorized person under any circumstances
without the express written permission of CitiusTech.
www.citiustech.comCopyright 2019 CitiusTech. All Rights Reserved.