Presentation by Megan Douglas, JD for the Third Annual Policy Prescriptions® Symposium
She is the associate director of Health Information Technology Policy in the National Center for Primary Care at Morehouse School of Medicine.
The symposium is designed for clinicians, healthcare workers, and healthcare executives interested in exploring the major themes that will emerge in health policy throughout the year. This year, the symposium will emphasize value in healthcare, health information technology, gun violence, insurance choices, the Affordable Care Act, and the viewpoints of the Presidential candidates on health care.
Expanding Access to Healthcare in Texas - Robert Greenwald, J.D.OneVoiceTexas
Robert Greenwald, J.D., Director of the Center for Health Law and Policy Innovation at Harvard Law School, looks at turning the Affordable Care Act challenges into Opportunities at the June 4, 2014 Designing Healthcare in Texas conference. (Hosts: One Voice Texas, Harris County Healthcare Alliance, Rice University Kinder Institute)
Physician Expectations and Primary Care Shortages: Evidence from the Affordab...Gerrit Lensink
This paper is the first installment in my undergraduate thesis on physician expectations and their effect on primary care shortages in the United States. Over following semesters I will be strengthening my research with econometric models and further analysis. Updates will follow as completed.
Meaningful Use and the Path to Population Health and Quality in a Transformin...Phytel
The over arching goal of the meaningful use requirements of the 2009 American Recovery and Reinvestment Act (ARRA) is to facilitate the transition to real quality improvement and population health management. Most physician practices will need supplemental information technology that automates the basic tasks of identifying, contacting, and tracking patients who need preventive and chronic care services, coupled with reports that care teams can use for quality improvement and reporting.
Presentation by Megan Douglas, JD for the Third Annual Policy Prescriptions® Symposium
She is the associate director of Health Information Technology Policy in the National Center for Primary Care at Morehouse School of Medicine.
The symposium is designed for clinicians, healthcare workers, and healthcare executives interested in exploring the major themes that will emerge in health policy throughout the year. This year, the symposium will emphasize value in healthcare, health information technology, gun violence, insurance choices, the Affordable Care Act, and the viewpoints of the Presidential candidates on health care.
Expanding Access to Healthcare in Texas - Robert Greenwald, J.D.OneVoiceTexas
Robert Greenwald, J.D., Director of the Center for Health Law and Policy Innovation at Harvard Law School, looks at turning the Affordable Care Act challenges into Opportunities at the June 4, 2014 Designing Healthcare in Texas conference. (Hosts: One Voice Texas, Harris County Healthcare Alliance, Rice University Kinder Institute)
Physician Expectations and Primary Care Shortages: Evidence from the Affordab...Gerrit Lensink
This paper is the first installment in my undergraduate thesis on physician expectations and their effect on primary care shortages in the United States. Over following semesters I will be strengthening my research with econometric models and further analysis. Updates will follow as completed.
Meaningful Use and the Path to Population Health and Quality in a Transformin...Phytel
The over arching goal of the meaningful use requirements of the 2009 American Recovery and Reinvestment Act (ARRA) is to facilitate the transition to real quality improvement and population health management. Most physician practices will need supplemental information technology that automates the basic tasks of identifying, contacting, and tracking patients who need preventive and chronic care services, coupled with reports that care teams can use for quality improvement and reporting.
Peter L. Slavin, M.D., 2015 Leadership in Academic Medicine Lectureuabsom
Peter L. Slavin, M.D., president of Massachusetts General Hospital, presented “The Future of Academic Medicine” on Thursday, Aug. 6 as the featured speaker for the 2015 Leadership in Academic Medicine Lecture, sponsored by UAB Medicine.
Given well-publicized data breaches nationally and the spread of health information exchange (HIE), the issue of privacy and security of patient data shared through HIE networks is one of the most complex and sensitive issues in establishing and maintaining trust among consumers, physicians, and other major community stakeholders. In this presentation, we discuss the privacy and security challenges the New Mexico Health Information Exchange (NMHIC) has encountered in its HIE development history and the lessons it has learned concerning them.
Federal and state privacy law compatibility: beyond HIPAA and HITECH
Privacy approaches: opt-out, opt-in, hybrid
Educating consumers and providers about HIE benefits & risks
Privacy policies needed to support interstate information exchange
Engaging consumers, providers, and other community stakeholders about uses of HIE data & other privacy decisions
How to Manage Population Health Effectively in Accountable Care OrganizationsPhytel
The Affordable Care Act authorized a Medicare shared-savings program for accountable care organizations, and private payers are also contracting with ACOs. To succeed, ACOs must learn how to manage population health effectively.
Population Health Management & Meaningful UsePhytel
The government’s EHR incentive program is designed to transform healthcare delivery and dovetails with other healthcare reform initiatives. Population health management, the goal of these initiatives, requires advanced forms of health IT.
Peter L. Slavin, M.D., 2015 Leadership in Academic Medicine Lectureuabsom
Peter L. Slavin, M.D., president of Massachusetts General Hospital, presented “The Future of Academic Medicine” on Thursday, Aug. 6 as the featured speaker for the 2015 Leadership in Academic Medicine Lecture, sponsored by UAB Medicine.
Given well-publicized data breaches nationally and the spread of health information exchange (HIE), the issue of privacy and security of patient data shared through HIE networks is one of the most complex and sensitive issues in establishing and maintaining trust among consumers, physicians, and other major community stakeholders. In this presentation, we discuss the privacy and security challenges the New Mexico Health Information Exchange (NMHIC) has encountered in its HIE development history and the lessons it has learned concerning them.
Federal and state privacy law compatibility: beyond HIPAA and HITECH
Privacy approaches: opt-out, opt-in, hybrid
Educating consumers and providers about HIE benefits & risks
Privacy policies needed to support interstate information exchange
Engaging consumers, providers, and other community stakeholders about uses of HIE data & other privacy decisions
How to Manage Population Health Effectively in Accountable Care OrganizationsPhytel
The Affordable Care Act authorized a Medicare shared-savings program for accountable care organizations, and private payers are also contracting with ACOs. To succeed, ACOs must learn how to manage population health effectively.
Population Health Management & Meaningful UsePhytel
The government’s EHR incentive program is designed to transform healthcare delivery and dovetails with other healthcare reform initiatives. Population health management, the goal of these initiatives, requires advanced forms of health IT.
Sybase, back in 1995, was constructing an advanced workflow system based on agent technology. This system was presented to an invitation-only group of Powersoft customers at the 1995 Powersoft Users Group meeting at DisneyWorld. The group creating the solution was an advanced technology group formed when Sybase purchased Powersoft.
DQ 3-2Integrated health care delivery systems (IDS) was develope.docxelinoraudley582231
DQ 3-2
Integrated health care delivery systems (IDS) was developed to initiate excellence health care access and quality of care to entire populations and community by collaborating and coordinating diverse healthcare professionals. Main driving force of IDS is patient centered care by using resources such as collaborating care from physicians and allied health care professionals to construct continuum of care, to deliver care in the most cost-effective way, utilize trained and competent providers by utilizing evidenced -based practice and combine innovation such as EHR (Electronic Health Records) system and team work to produce improved healthcare system.
Excellence in care is attainable by incorporating allied healthcare professional, as high quality care is possible when coordination is unified and covers all areas of responsibilities. For an example-combining resources and coordination of care by involving physicians, dietitian, physical therapy or occupational therapy to work with patient diagnosed with obesity by promoting teamwork approach and ultimately delivering endurance in care and utilizing various resources.
Barriers to IDS can be a huge block in delivering quality care. Among many one limitation is physicians not participating in integrated healthcare system, which disconnect physicians from team based approached by deterring continuous quality improvement (essentialhospitals.org, n.d). This is because, system such as EHR or new innovative quality assurance programs are time consuming and overwhelming, thus decline in physicians support in IDS programs. By implementing user friendly system approach, enforcing focused based care and accepting the necessity of evidenced based practice can improve these barriers. Hence, increasing clinical expertise to produce better service and quality of care in integrated delivery system.
Essentialhospitls.org (n.d). Retrieved from: http://essentialhospitals.org/wp-content/uploads/2013/12/Integrated-Health-Care-Literature-Review-Webpost-8-22-13-CB.pdf
Dq 3-1
1.
In the US, there is not one type of health care system but rather a subset of systems, some of them catering to specific populations. These subsystems include managed care, military, and vulnerable populations. Managed care is a health care delivery system that seeks to achieve efficiency by integrating the basic functions of health care delivery, employs mechanisms to control utilization of medical services, and determines the price at which the services are purchased and how much the providers get paid, military health care system is available free of charge to active duty military personnel and covers preventative and treatment services that are provided by salaried health care personnel and this system combines public health with medical services, and vulnerable population subsystem offers comprehensive medical and enabling services targeted to the needs of vulnerable populations and government health insurance programs provide.
Regulatory changes, plus advances in cloud computing and analytic technologies, are making it possible for U.S. healthcare providers, payers and patients to connect, commmunicate and collaborate seamlessly, and ensure that the right care is provided at the right place, at the right time.
Use of Electronic Technologies to Promote Community and Person.docxdickonsondorris
Use of Electronic Technologies to Promote Community and Personal
Health for Individuals Unconnected to Health Care Systems
Ensuring health care ser-
vices for populations outside
the mainstream health care
system is challenging for all
providers. But developing
the health care infrastructure
to better serve such uncon-
nected individuals is critical
to their health care status, to
third-party payers, to overall
cost savings in public health,
and to reducing health dis-
parities.
Our increasingly sophisti-
cated electronic technolo-
gies offer promising ways to
more effectively engage this
difficult to reach group and
increase its access to health
care resources. This process
requires developing not only
newer technologies but also
collaboration between com-
munity leaders and health
care providers to bring un-
connected individuals into
formal health care systems.
We present three strate-
gies to reach vulnerable
groups, outline benefits and
challenges, and provide
examples of successful
programs. (Am J Public
Health. 2011;101:1163–1167.
d o i : 1 0. 21 0 5/ A J P H . 2 0 10 .
30 0 00 3 )
John F. Crilly, PhD, MPH, MSW, Robert H. Keefe, ACSW, PhD, and Fred Volpe, MPA
DURING THE PAST DECADE,
the United States has experien-
ced a rapid growth of electronic
health information technology in
hospital and health care provider
systems to enhance access and
quality for service recipients. State
health departments have devel-
oped health information ex-
changes across large health care
networks, insurance providers,
and independent physician prac-
tices, and the use of electronic
health records has greatly accel-
erated.1 These initiatives evince
progress toward achieving a fully
connected national health care
system by 2014.2
Nevertheless, cities and
counties struggle to understand
the health care needs of individ-
uals who do not or cannot easily
access formal health care net-
works but use expensive services
for emergency and routine care.
Health information technology is
currently designed to benefit pri-
marily populations already con-
nected to such systems. As systems
increase their use of health data to
influence treatment and policy,
developing strategies to include
individuals who are largely out-
side health care networks is criti-
cal.
The US health care system has
been criticized for low-quality care
that produces multiple medical
errors3,4 and high-cost services
that limit access to care,5 perpetu-
ating health disparities. Primary
care focused on preventing illness
and death is associated with more
equitable distribution of health
and better outcomes than is spe-
cialty care6---8; countries directing
resources to primary care and
enhancing population health have
lower costs and superior out-
comes.9 Although the United
States has the world’s most ex-
pensive health care system, other
countries regularly surpass the
United States on most health in-
dicators, including quality, access,
efficiency, ...
What are the existing challenges in the medical data collection processes - ...Pubrica
• The collection of medical data determines the patient's life quality improvement if the medical professionals, pharma, and the payers collaborate closely.
• Medical sectors must understand the collaborations between the patient, doctor, payer and prescription. The reliable data is now at the heart of any hospital decision.
Continue Reading: https://bit.ly/3mu7evh
Reference: https://pubrica.com/services/medical-data-collection/
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March 2001I N S T I T U T E O F M E D I C I N E Shap.docxwkyra78
March 2001
I N S T I T U T E O F M E D I C I N E
Shaping the Future for Health
CROSSING THE QUALITY CHASM:
A NEW HEALTH SYSTEM FOR THE 21ST CENTURY
The U.S. health care delivery system does not provide consistent, high-quality medical care to all people. Americans should be able to count on receiving care that meets their needs and is based on the best scien
tific knowledge--yet there is strong evidence that this frequently is not the
case. Health care harms patients too frequently and routinely fails to deliver
its potential benefits. Indeed, between the health care that we now have and
the health care that we could have lies not just a gap, but a chasm.
A number of factors have combined to create this chasm. Medical sci
ence and technology have advanced at an unprecedented rate during the past
half-century. In tandem has come growing complexity of health care, which
today is characterized by more to know, more to do, more to manage, more to
watch, and more people involved than ever before. Faced with such rapid
changes, the nation’s health care delivery system has fallen far short in its
ability to translate knowledge into practice and to apply new technology
safely and appropriately. And if the system cannot consistently deliver to-
day’s science and technology, it is even less prepared to respond to the ex
traordinary advances that surely will emerge during the coming decades.
The public’s health care needs have changed as well. Americans are
living longer, due at least in part to advances in medical science and techno l
ogy, and with this aging population comes an increase in the incidence and
prevalence of chronic conditions. Such conditions, including heart disease,
diabetes, and asthma, are now the leading cause of illness, disability, and
death. But today’s health system remains overly devoted to dealing with
acute, episodic care needs. There is a dearth of clinical programs with the
multidisciplinary infrastructure required to provide the full complement of
services needed by people with common chronic conditions.
The health care delivery system also is poorly organized to meet the
challenges at hand. The delivery of care often is overly complex and uncoor
dinated, requiring steps and patient “handoffs” that slow down care and de-
crease rather than improve safety. These cumbersome processes waste re-
sources; leave unaccountable voids in coverage; lead to loss of information;
Faced with such
rapid changes, the
nation’s health care
delivery system has
fallen far short in its
ability to translate
knowledge into
practice and to ap
ply new technology
safely and appro
priately.
CARE SYSTEM
Supportive
payment and
regulatory en
vironment
Organizations
that facilitate
the work of
patient-
centered teams
High perform
ing patient-
centered teams
Outcomes:
• Safe
• Effective
• Efficient
• Personalized
• Timely
• Equitable
REDESIGN IMPERATIVES: SIX CHALLENGES
• Reeng.
The care business traditionally has generated massive amounts of inf.pdfanudamobileshopee
The care business traditionally has generated massive amounts of information, driven by record
keeping, compliance & regulative needs, and patient care [1]. whereas most knowledge is hold
on in text type, the present trend is toward fast conversion of those massive amounts of
information. Driven by obligatory needs and also the potential to enhance the standard of health
care delivery in the meantime reducing the prices, these huge quantities of information (known
as ‘big data’) hold the promise of supporting a good vary of medical and care functions, as well
as among others clinical call support, illness police work, and population health management [2,
3, 4, 5]. Reports say knowledge from the U.S. care system alone reached, in 2011, one hundred
fifty exabytes. At this rate of growth, huge knowledge for U.S. care can before long reach the
zettabyte (1021 gigabytes) scale and, shortly when, the yottabyte (1024 gigabytes) [6]. Kaiser
Permanente, the California-based health network, that has over nine million members, is
believed to possess between twenty six.5 and forty four petabytes of doubtless made knowledge
from EHRs, as well as pictures and annotations [6].
By definition, huge knowledge in care refers to electronic health knowledge sets therefore
massive and complicated that they\'re tough (or impossible) to manage with ancient computer
code and/or hardware; nor will they be simply managed with ancient or common knowledge
management tools and strategies [7]. huge knowledge in care is overwhelming not solely due to
its volume however additionally due to the range of information varieties and also the speed at
that it should be managed [7]. The totality of information associated with patient care and well-
being compose “big data” within the care business. It includes clinical knowledge from CPOE
and clinical call support systems (physician’s written notes and prescriptions, medical imaging,
laboratory, pharmacy, insurance, and alternative body knowledge); patient knowledge in
electronic patient records (EPRs); machine generated/sensor data, like from observance
important signs; social media posts, as well as Twitter feeds (so-called tweets) [8], blogs [9],
standing updates on Facebook and alternative platforms, and net pages; and fewer patient-
specific data, as well as emergency care knowledge, news feeds, and articles in medical journals.
For the massive knowledge person, there is, amongst this large quantity and array of information,
chance. By discovering associations and understanding patterns and trends inside the
information, huge knowledge analytics has the potential to enhance care, save lives and lower
prices. Thus, huge knowledge analytics applications in care cash in of the explosion in
knowledge to extract insights for creating higher enlightened selections [10, 11, 12], and as a
groundwork class square measure noted as, no surprise here, huge knowledge analytics in care
[13, 14, 15]. once huge knowledge is synthesized and an.
IDC White Paper - Integrated Patient Record - Empowering Patient Centric Care...buntib
Despite the growing use of electronic health records (EHRs) and health information exchange (HIE) technologies, providers and payers still face challenges with regard to accessing all the information known about a given patient or member. Patient health information can be trapped in siloed healthcare information systems, paper-based documents and processes, or non-machine-readable documents. An integrated view of patient information improves the experience of clinicians by enabling them to better serve their patients, which in turn leads to better outcomes. The ability to create comprehensive patient-centric records is crucial for improving not only quality of care but also patient safety.
Patient Centered Medical home talk at WVUPaul Grundy
To employers the cost of healthcare is now a business issue and this talk is about what one large buyer IBM did to drive transformation via broad coalition with other large employers to form the Patient Centered Medical Home movement and the covenant between buyer and provider away from the garbage we now buy episodic uncoordinated disintegrated care. In the change of convenient conversation we have worked with the Primary care providers to give us coordinated, integrated, accessible and compressive care with a set of principles know as the Patient centered medical home.
A Patient Centered Medical Home (PCMH) happens when primary care healers keeping that core healing relationship with their patients step up to become specialists in Family and Community Medicine. The move is to the discipline of leading a team that delivers population health management, patent centered prevention, care that is coordination, comprehensive accessible 24/7 and integrated across a deliver system. PCMH happens when the specialists in Family and Community Medicine wake up every morning and ask the question how will my team improve the health of my community today?
All over the world three huge factors are in play that is driving the concept of Patient Centered Medical Home. They are:
1) Cost and demography
2) Information technology and data (information that is actionable will equal a demand for accountability by the payer or buyer of the care)
3) Consumer demand to engage healthcare differently (at least as well as they can their bank- on line) have a question about lab results why not e-mail?
But at its core it is a move toward integration of a healing relationship in primary care and population management all at the point of care with the tools to do just that.
Empowering Healthcare Transformation: Unleashing the Potential of Digital Sol...TEWMAGAZINE
Digital Solutions Driving Healthcare Transformation: 1. Electronic Health Records (EHRs) 2. Telemedicine and remote patient monitoring 3. Artificial Intelligence (AI) and Machine Learning (ML) applications 4. Internet of Things (IoT) in healthcare
MANAGING THE INFORMATION SECURITY ISSUES OF ELECTRONIC MEDICAL RECORDSijsptm
All healthcare providers should have enough knowledge and sufficient information to understand the potential risk, which can lead to a breach in the Jordanian health information system (Hakeem program). This study aims to emphasise the importance of sharing sensitive health information among healthcare providers, create laws and regulations to keep the electronic medical records secure, and increase the
awareness about health information security among healthcare providers. The study conducted seven interviews with medical staff and an information technology technician. The study results showed that sharing sensitive information in a secure environment, creating laws and regulations, and increasing the
awareness about health information security render the electronic medical records of patients more secure and safe
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/
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
Welocme to ViralQR, your best QR code generator.ViralQR
Welcome to ViralQR, your best QR code generator available on the market!
At ViralQR, we design static and dynamic QR codes. Our mission is to make business operations easier and customer engagement more powerful through the use of QR technology. Be it a small-scale business or a huge enterprise, our easy-to-use platform provides multiple choices that can be tailored according to your company's branding and marketing strategies.
Our Vision
We are here to make the process of creating QR codes easy and smooth, thus enhancing customer interaction and making business more fluid. We very strongly believe in the ability of QR codes to change the world for businesses in their interaction with customers and are set on making that technology accessible and usable far and wide.
Our Achievements
Ever since its inception, we have successfully served many clients by offering QR codes in their marketing, service delivery, and collection of feedback across various industries. Our platform has been recognized for its ease of use and amazing features, which helped a business to make QR codes.
Our Services
At ViralQR, here is a comprehensive suite of services that caters to your very needs:
Static QR Codes: Create free static QR codes. These QR codes are able to store significant information such as URLs, vCards, plain text, emails and SMS, Wi-Fi credentials, and Bitcoin addresses.
Dynamic QR codes: These also have all the advanced features but are subscription-based. They can directly link to PDF files, images, micro-landing pages, social accounts, review forms, business pages, and applications. In addition, they can be branded with CTAs, frames, patterns, colors, and logos to enhance your branding.
Pricing and Packages
Additionally, there is a 14-day free offer to ViralQR, which is an exceptional opportunity for new users to take a feel of this platform. One can easily subscribe from there and experience the full dynamic of using QR codes. The subscription plans are not only meant for business; they are priced very flexibly so that literally every business could afford to benefit from our service.
Why choose us?
ViralQR will provide services for marketing, advertising, catering, retail, and the like. The QR codes can be posted on fliers, packaging, merchandise, and banners, as well as to substitute for cash and cards in a restaurant or coffee shop. With QR codes integrated into your business, improve customer engagement and streamline operations.
Comprehensive Analytics
Subscribers of ViralQR receive detailed analytics and tracking tools in light of having a view of the core values of QR code performance. Our analytics dashboard shows aggregate views and unique views, as well as detailed information about each impression, including time, device, browser, and estimated location by city and country.
So, thank you for choosing ViralQR; we have an offer of nothing but the best in terms of QR code services to meet business diversity!
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdfPeter Spielvogel
Building better applications for business users with SAP Fiori.
• What is SAP Fiori and why it matters to you
• How a better user experience drives measurable business benefits
• How to get started with SAP Fiori today
• How SAP Fiori elements accelerates application development
• How SAP Build Code includes SAP Fiori tools and other generative artificial intelligence capabilities
• How SAP Fiori paves the way for using AI in SAP apps
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Leading Change strategies and insights for effective change management pdf 1.pdf
U.S. Medical Grid
1. The Vision of an Affordable National Health
Information Infrastructure (NHII)
Larry Suarez
Grid Research Group
Agent Net, Inc.
Abstract
The decentralized and fragmented nature of health care delivery in the U.S. creates
islands of information and services. The U.S. health care system is unable to neither
access or manage these islands of information nor integrate services across institutional
boundaries. Compounding the problem is the rapid advancement of medical science and
technology which is contributing large quantities of isolated information which has a
direct impact on care processes and patient safety. The lack of readily available medical
information and services for the treatment of chronic diseases has contributed each year
to a large number of deaths in the U.S. as a result of inappropriate care, adverse drug
reactions, and missed diagnosis. Supporting advance care processes like those for
chronic diseases takes more than just integrating information. Chronic care processes
require the ability to create virtual teams consisting of care providers, care institutions,
laboratories, nutritionists, educational media, and even food providers. Most medical-
care organizations and private physicians cannot afford to build or purchase integrated
information systems sophisticated enough to support chronic care. Grid technology
coupled with autonomous agents (agent grids) is crucial to engendering a commitment
within the medical industry to build an affordable, national health information
infrastructure for chronic care. An infrastructure that will improve health care in the U.S.
by providing the right information and services at the right time to care providers with the
overall goal of reducing hospital admissions and emergency room visits for patients with
chronic diseases.
Introduction
The medical industry continues to struggle with access to distributed information
including patient details, medical encounters, prescription usage, and medical research
data. Physician groups, hospitals, and other health care organizations operate as silos,
often providing care without the benefit of complete information about the patient’s
condition, medical history, services provided in other settings, or medications prescribed
by other clinicians. The problem is compounded in chronic care situations where multiple
care providers participate in the treatment of a patient. The lack of access to condensed
and pertinent research data means that scientific knowledge about best care is not
applied systematically or quickly to clinical practice. An average of about 17 years is
required for new knowledge generated by randomized controlled trials to be incorporated
into practice, and even then application is highly uneven.
Improving health care comes down to improving access to information and services.
2. The Chronic Care Medical Grid 2
Access must be at the national level for the following reasons:
1. Diffuses the cost to individual care providers.
2. Provides quality care services to low-income, poorly funded programs that
cannot support fully-staffed chronic care service organizations.
3. Care providers are geographically dispersed including different states.
4. Medical research information such as randomized clinical trials is dispersed
throughout the U.S.
5. Lawmakers, patient advocacy groups, and regulatory bodies are requiring care
providers to provide data on a national level as to their decision processes, care
processes, and their abilities to respond to patient requirements and preferences.
6. Major disease issues, outbreaks, drug reactions, and other issues affecting
patient safety require an immediate response at the national level.
Most medical-care organizations and private physicians throughout the U.S. do not have
the resources to build information systems to support chronic care. Kaiser Permanente
spent an estimated $1.5 billion to $2 billion to implement their information system which
provides automated medical records and guidance including support for chronic care.
The Internet is a prime example of bringing resources to those who could not previously
afford it allowing small businesses to compete with large businesses. Within the medical
arena, the Internet will also provide a ―leveling‖ effect in the support of chronic care
which ultimately benefits all patients in the U.S. including those under the care of Kaiser
Permanente.
Chronic Care
The health care situation will not improve in the next ten years. Chronic conditions
(heart decease, cancer, diabetes) are the leading cause of illness, disability, and death
in the U.S. This will be compounded by an aging population. Approximately 75 percent
of direct medical expenses in the U.S. are devoted to chronic illness. Aetna Insurance
spends 65 percent of their medical-care dollars on just 16 percent of their total
membership who have late-stage chronic illness. By 2030, roughly two of every three
people in the U.S. will have one chronic condition as a result of the aging U.S.
population.
Chronic care requires demanding care processes. Processes for chronic conditions
involve:
Multidisciplinary (distributed) care teams that must be coordinated.
Multiple institutions including hospitals, nursing homes, and special care facilities.
The participation of medical specialists in consultative and educational roles
outside conventional referrals.
Patient self-management which requires monitoring and patient-provider
feedback.
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Continual monitoring of newly available drugs, applicable clinical research, and
advancements in care processes.
Information access to hospitals, clinics, laboratories, suppliers, and payers.
Evidence-based care processes that must be continually evaluated.
Non-medical support like travel to and from appointments, food deliveries, and
health status information to family and love ones.
Chronic care management has been increasingly relegated to disease management
companies because of the inability of primary care providers to absorb the time, cost,
and expertise to handle chronic disease patients. Minimizing costs, a primary goal of
service companies, is questionable in the long term. Primary care providers are the first
line of support for chronic disease patients and must have the necessary tools and
support to deliver quality care without patients having to go to specialized care
companies.
Chronic care must be seamless — supporting the ability of interdependent people and
technologies to perform as a unified whole, especially at points of transition between and
among caregivers, across sites of care, and through time. Safety failures occur during
transition points. Information should not be lost, inaccessible, or forgotten in transitions.
Knowledge about patients, such as their allergies, their medications, their diagnostic and
treatment plans, and their specific needs, must be available with appropriate assurances
of confidentiality to all who need to know it regardless of where and when they become
involved in the process of giving care.
The National Health Information Infrastructure
The National Health Information Infrastructure (NHII) was first proposed in 1996 by the
National Committee on Vital and Health Statistics in the U.S. Department of Health and
Human Services. The NHII is defined as a ―set of technologies, standards, and
applications that support communication and information". The NHII, as envisioned by
Agent Net, is an integration of nation-wide chronic care information and services coupled
with new services to create virtual care teams. The NHII is not a single-site Application
Service Provider (ASP). It is a collection of information and services distributed
throughout the U.S. It takes the best parts of solutions already in place in organizations
like Kaiser Permanente and Evercare/United Healthcare. It uses services brought on-
line by organizations willing to contribute to the NHII. The NHII is a nation-wide
collective effort to reconstruct the U.S. Healthcare system to function as a ―system‖.
The NHII provides one face to U.S. health care. As organizations contribute to the NHII,
the NHII improves by providing better services resulting in increased patient safety. The
NHII will be based on grid technology with the addition of autonomous agents. Both
technologies are standards-based with supported open-source software toolkits.
Grid Technology
Grids are defined as the hardware and software that is concerned with the integration,
virtualization, and management of services within distributed, heterogeneous, dynamic
―virtual organizations‖. Next-generation software systems will involve data from
numerous distributed data sources and services provided by numerous distributed
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4. The Chronic Care Medical Grid 4
vendors. Researchers and practitioners in the grid arena have tried to construct
standards to ensure that participants can communicate and collaborate across a
network. Researchers have also defined basic services that are required to keep the
grid accessible including naming services (global identification of services), security
services, replication services, and data access services.
Grids can be divided into three main areas:
Resource or Computational Grids –grids which allow users to access physical
resources across a wide network such as CPUs, disk storage, and servers.
Data Grids –grids which allow users to access data distributed throughout the
network in fast and secure ways.
Service Grids – grids which make software services available to users including
advance imaging algorithms, patient authorization, and patient adjudication
services.
New solutions in the grid arena are blurring the boundaries between the different types
of grids. For example, a medical grid that provides access to imaging data would require
data (the images themselves), computation resources to search large data sets of
images quickly, and services that provide the advance algorithms necessary to infer
information from the images. It is now evident that new grid solutions will need enough
sophistication to provide resources, information, and services.
Grid solutions offer the necessary components to effect collaboration across a network
including standard interfaces and standard object naming. Recent efforts by
organizations like the Open Grid Services Architecture (OGSA) have proposed
standards for grid construction. OGSA builds on existing grid and Web services
technologies.
Medical Grids
Grid technology remains the only valid hope in solving the problems associated with
health care: the access and assimilation of distributed information and services. Health
care problems will continue until information and service access is solved. The medical
arena has already seen the appearance of a number of grids although primarily in the
research arena where collaborative studies require the integration of imaging, clinical,
and laboratory data. The initial grids within the medical industry began with multi-
institutional collaborative clinical biomedical research studies carried out by virtual
organizations. Studies required the pooling and support of distributed analysis of
epidemiological, clinical, laboratory, imaging, tissue and molecular information.
Existing medical grids include the Biomedical Informatics Research Network, the Shared
Pathology Informatics Network, BioGrid, and the Cooperative Human Tissue Network.
These grids are targeting shared access to medical data in a wide area environment.
However, these projects focus on development of middleware and infrastructure support
for specific application domains. We argue that the medical community can leverage
more generic grid-based systems in many of the same ways in which other scientific
applications have been using them.
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Agent-Based Grids
Grids will provide the connectivity of medical entities and basic services such as
security. However, we argue that to create an effective national infrastructure for the
care of chronic diseases there needs to be more than just connectivity. Grid initiatives
have also included minimal non-connectivity solutions with the inclusion of workflow and
rule systems. Workflows and rule systems allow the automation of static procedures like
simple care processes. But that is still not enough to construct effective grids for chronic
care.
In order to provide more advance ―collaboration‖ solutions, autonomous agents were
introduced to grid technology. Grids containing autonomous agents were known as
agent-based grids or agent grids. The computing industry has long seen the need for
autonomous agents in grid solutions. Organizations like the Foundation for Physical
Agents (FIPA) and DARPA’s Control of Agent-Based Systems (CoABS) have been
researching the application of autonomous agents to grids. There are numerous
international workshops and conferences on autonomous agent grids and thousands of
research papers on the subject.
Autonomous agents provide a number of attractive attributes because of their dynamic
nature. This is a step beyond a ―static‖ approach using web services or care-
management software. Those attributes include:
Autonomous – agents are designed to function without human intervention which
is necessary when thousands of agents exist on the grid.
Self-Healing – agents have the ability to self-heal. When an agent functions
incorrectly according to its internal policy, the agent can add or remove internal
behavior to heal itself. This is known as autonomic computing.
Cooperative – agents can collaborate and form virtual teams. This is a major
requirement for solutions in the medical industry.
Dynamic – agent behavior can be manipulated in real-time. Behaviors can be
added to agents either from an outside source (physicians) or two agents can
augment each others behaviors. Agent populations can be increased or
decreased in real-time. For example, to support new sources of information or to
reflect new care pathways that should be integrated into existing pathways.
Workflow – agents can form ―chains‖ to accomplish a goal (for example, a
chronic care pathway). These chains are fluid and can form or change without
user intervention based on a policy or goal.
Agent grids will provide features not found in standards grids but are required for chronic
care:
Ability to track and monitor the progress of our national mandate to improve
health care and patient safety. This includes being able to catch errors in real-
time.
Ability to manage automatically and without human intervention (known as
autonomic computing) the grid infrastructure to ensure maximum availability
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6. The Chronic Care Medical Grid 6
especially in support of medical emergencies.
Formation of ―agent communities‖ representing patients and clinicians with
shared interests to improve care, share results, and share data.
Formation of ―virtual teams‖ that represent all providers and clinicians
contributing to the care of a particular patient. The virtual team shares
information, events (episodes), and evidence-based data.
Formation of ―virtual teams‖ that represent providers, hospitals, institutions to
better their practices and reduce costs.
Tracking patient care with the interest of rewarding providers who have improved
their care processes to ensure patient safety, effectiveness, and efficiency.
Test bed (application, monitoring, and feedback) for implementing new
experimental efforts in care processes, payment policies, and evidence
application.
Tracking of medical outcomes to help contribute to better care pathways.
Critical Issues and Agent-Based Grids
There are a number of critical issues that are currently being addressed to support the
National Information Infrastructure:
Security – includes user authorization for access to medical grids.
Quality of Service (QoS) – ensures that requests via the National grid return
information within specified constraints including time and cost.
Privacy – well known issues of moving sensitive data across unprotected
networks.
Policy Application – data providers/owners may have organizational policies
which dictate how information or services are shared on the grid. Those policies
may include access control rules, time restrictions, patient consent, usage fees,
and data content restrictions.
Regulatory Compliance – issues dealing with government (local, state, federal)
requirements and regulations.
Patient Diversity – supporting the differences between patient culture, religious
background, language, and beliefs.
Solutions to the above issues include patient identification hiding, date masking (hospital
admittance, date of birth, etc.), encryption, adding erroneous data noise (invalid
information mixed with valid information), and lock-box technology. The system must be
able to guarantee, both at the data supplier and data provider, security requirements.
Agents within the Medical Grid will act as pre-filters and pre-processors of information at
the source to ensure security requirements, large data sets, locality of services, or data
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7. The Chronic Care Medical Grid 7
volume.
Agents will be used to provide the data provider with the insurances that the operations
on their patient data are restricted to all legal and contractual obligations.
Agents can subsume patient attributes including their religious beliefs in medicine,
language, and colloquial meanings.
Grid solutions have to protect personal data against accidental or unlawful destruction or
accidental loss, alteration, unauthorized disclosure or access, in particular when the
processing involves the transmission of data over a network, and against all other
unlawful forms of processing. With regard to the state of the art and the cost of their
implementation, such measures have to ensure a level of security appropriate to the
risks represented by the processing and the nature of the data to be protected.
Consequently, the more sensitive the data is the more risky the processing will be. As
personal data related to health are very sensitive, the security level of the data
processing has to be at maximum.
The Chronic Care Medical Grid
The Chronic Care Medical Grid is an OGSA-compliant medical agent-based grid. The
Chronic Care Medical Grid is considered to be just one grid composing the eventual
NHII. Agent Net, Inc. has been researching grids and agent grids for ten years. With
the advent of numerous grid solutions in medical research and the acceptance of grid
standards via standard bodies, the time is right for Agent Net, Inc. to introduce agent
grids as the starting point of the NHII. Figure 1 shows a diagram of the components of
the Medical Grid.
Figure 1: Chronic
Care Medical Grid.
Part of the NHII. Computing Resources
Chronic Care Medical Services
Autonomous Agents
NHII (Grid Software)
Internet
The Chronic Care Medical Grid can be used in localized settings or across the Internet.
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8. The Chronic Care Medical Grid 8
There are a number of services required on the grid for chronic care. Figure 2 shows a
number of services in the Grid architecture which include:
National Registry – used to identify and track patients including medical
information.
Registry Agents – allows registries across the U.S. to combine information to
create a nation-wide view of chronic conditions and to ensure proper care as a
patient moves through multiple care providers and institutions.
Monitoring Device Agents – provides connections to home monitoring devices.
Media Agents – provides access to media and knowledge information for
patients.
HIPPA Agents – agents whose task is to ensure that Health Insurance Portability
and Accountability (HIPPA) requirements are followed by grid participants.
Survey Agents – agents who provide disease-specific surveys for patient
feedback both at the national level and the virtual team level.
Service Agents - connections to food services, airlines, transportation.
Information Agents (secure, policy-based) – provides connections to information
sources including hospital records, clinic records, physician records.
Care Provider Agents – agents representing patients, physicians, pharmacists,
dietitians, laboratories, nurses, and other care providers. These agents can form
―societies‖ or ―virtual teams‖ to provide a team approach to medicine.
Agent-Based Workflow – workflows representing care pathways, emergency
response pathways, and other complex and fluid processes.
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Figure 2: Medical Grid Architecture
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