Rolls-Royce UseCase: Capella for large complex mechanical systemsObeo
Rolls-Royce is a pre-eminent engineering company focused on world-class power and propulsion systems.
This webinar will discuss how Rolls-Royce is using Arcadia / Capella to define the architecture of a large civil aerospace turbofan engine. MBSE promises to help manage system complexity and minimise the associated risk.
This webinar was driven by Jim Daly:
Jim Daly has nearly forty years’ experience in aerospace engine development: fuel systems; control systems; software development; process improvement and thirteen years in current role as a System Architect at Rolls-Royce, responsible for control system and whole engine architecture and since 2016 deployment of MBSE.
White Paper - Data Warehouse Documentation RoadmapDavid Walker
All projects need documentation and many companies provide templates as part of a methodology. This document describes the templates, tools and source documents used by Data Management & Warehousing. It serves two purposes:
• For projects using other methodologies or creating their own set of documents to use as a checklist. This allows the project to ensure that the documentation covers the essential areas for describing the data warehouse.
• To demonstrate our approach to our clients by describing the templates and deliverables that are produced.
Documentation, methodologies and templates are inherently both incomplete and flexible. Projects may wish to add, change, remove or ignore any part of any document. Some may also believe that aspects of one document would sit better in another. If this is the case then users of this document and these templates are encouraged to change them to fit their needs.
Data Management & Warehousing believes that the approach or methodology for building a data warehouse should be to use a series of guides and checklists. This ensures that small teams of relatively skilled resources developing the system can cover all aspects of the project whilst being free to deal with the specific issues of their environment to deliver exceptional solutions, rather than a rigid methodology that ensures that large teams of relatively unskilled staff can meet a minimum standard.
Project report on the design and build of a data warehouse from unstructured and structured data sources (Quandl, yelp and UK Office for National Statistics) using SQL Server 2016, MongoDB and IBM Watson. Design and implementation of business intelligence visualisations using Tableau to answer cross domain business questions
Rolls-Royce UseCase: Capella for large complex mechanical systemsObeo
Rolls-Royce is a pre-eminent engineering company focused on world-class power and propulsion systems.
This webinar will discuss how Rolls-Royce is using Arcadia / Capella to define the architecture of a large civil aerospace turbofan engine. MBSE promises to help manage system complexity and minimise the associated risk.
This webinar was driven by Jim Daly:
Jim Daly has nearly forty years’ experience in aerospace engine development: fuel systems; control systems; software development; process improvement and thirteen years in current role as a System Architect at Rolls-Royce, responsible for control system and whole engine architecture and since 2016 deployment of MBSE.
White Paper - Data Warehouse Documentation RoadmapDavid Walker
All projects need documentation and many companies provide templates as part of a methodology. This document describes the templates, tools and source documents used by Data Management & Warehousing. It serves two purposes:
• For projects using other methodologies or creating their own set of documents to use as a checklist. This allows the project to ensure that the documentation covers the essential areas for describing the data warehouse.
• To demonstrate our approach to our clients by describing the templates and deliverables that are produced.
Documentation, methodologies and templates are inherently both incomplete and flexible. Projects may wish to add, change, remove or ignore any part of any document. Some may also believe that aspects of one document would sit better in another. If this is the case then users of this document and these templates are encouraged to change them to fit their needs.
Data Management & Warehousing believes that the approach or methodology for building a data warehouse should be to use a series of guides and checklists. This ensures that small teams of relatively skilled resources developing the system can cover all aspects of the project whilst being free to deal with the specific issues of their environment to deliver exceptional solutions, rather than a rigid methodology that ensures that large teams of relatively unskilled staff can meet a minimum standard.
Project report on the design and build of a data warehouse from unstructured and structured data sources (Quandl, yelp and UK Office for National Statistics) using SQL Server 2016, MongoDB and IBM Watson. Design and implementation of business intelligence visualisations using Tableau to answer cross domain business questions
Understanding SAS Data Step Processingguest2160992
Learning
Base SAS,
Advanced SAS,
Proc SQl,
ODS,
SAS in financial industry,
Clinical trials,
SAS Macros,
SAS BI,
SAS on Unix,
SAS on Mainframe,
SAS interview Questions and Answers,
SAS Tips and Techniques,
SAS Resources,
SAS Certification questions...
visit http://sastechies.blogspot.com
EHR Integration: Achieving this Digital Health ImperativeHealth Catalyst
As the digital trajectory of healthcare rises, health systems have an array of new resources available to make more effective and timely care decisions. However, to use these data analytics, machine learning, predictive analytics, and wellness applications to gain real-time, data-driven insight at the point of care, health systems must fully integrate the tools with their EHRs. Integration brings technical and administrative challenges, requiring organizations to coordinate around standards, administrative processes, regulatory principles, and functional integration, as well as develop compelling integration use cases that drive demand. When realized, full EHR integration will allow clinicians to leverage data from across the continuum of care (from health plan to patient-generated data) to improve patient diagnosis and treatment.
An Introduction to Architecture of Object Oriented Database Management System and how it differs from RDBMS means Relational Database Management System
Capella Days 2021 | Introduction to CAPELLA/ARCADIA and NASA Systems Engineer...Obeo
The NASA System Engineering (SE) handbook aims to provide general guidance and information on systems engineering, as it should be applied throughout NASA. The handbook introduces 3 common technical processes. One of these, is the System Design Process, describing the stakeholders expectations, requirements definition, logical decomposition and design solution definition. The 4 activities can be supported by a Model-Based Systems Engineering (MBSE) approach. To do so, an appropriate method and tool is necessary as the one provided by the ARChitecture Analysis & Design Integrated Approach.
ARCADIA, with its modeler CAPELLA, is a MBSE solution supporting system modeling activities. Based on 4 architectural layers, which are Operational Analysis, System Analysis, Logical and Physical Architecture, it is a structured architecture engineering method for defining and validating multi-domain systems.
This talk will present an educational overview of the ARCADIA methodology and System Design Process from the NASA SE, by introducing MBSE artefacts for space system.
The HUBBLE Space Telescope (HST) is a Cassegrain reflector telescope. Orbiting above the earth, HST elaborates a clear view of the universe free from the blurring and absorbing effects of the atmosphere. In order to illustrate the journey throughout CAPELLA, the HST will be introduced, as example, based on public information available.
Learning
Base SAS,
Advanced SAS,
Proc SQl,
ODS,
SAS in financial industry,
Clinical trials,
SAS Macros,
SAS BI,
SAS on Unix,
SAS on Mainframe,
SAS interview Questions and Answers,
SAS Tips and Techniques,
SAS Resources,
SAS Certification questions...
visit http://sastechies.blogspot.com
DataOps: An Agile Method for Data-Driven OrganizationsEllen Friedman
DataOps expands DevOps philosophy to include data-heavy roles (data engineering & data science). DataOps uses better cross-functional collaboration for flexibility, fast time to value and an agile workflow for data-intensive applications including machine learning pipelines. (Strata Data San Jose March 2018)
PHP provides access to a great number of different database systems, many of which are relational in nature and can be interrogated using Structured Query Language (SQL).
Data product thinking-Will the Data Mesh save us from analytics historyRogier Werschkull
Data Mesh: What is it, for Who, for who definitely not?
What are it's foundational principles and how could we take some of them to our current Data Analytical Architectures?
Mastering modes and states is key to analyze the expected behavior and performance of a system in different spectrums of situations.
However, as systems and missions become more complex,
the combination of modes and states across system, subsystem, and component levels becomes exponential and jeopardizes this good understanding.
In this webinar, we will:
Present the original Arcadia / Capella approach for integrating the study of the impacts of modes and states in architectural design, both from methodological and tooling perspectives.
Explain the introduction of the concepts of “configurations” and “situations” as means to specify and analyze the system in specific contexts.
Database vs Data Warehouse: A Comparative ReviewHealth Catalyst
What are the differences between a database and a data warehouse? A database is any collection of data organized for storage, accessibility, and retrieval. A data warehouse is a type of database the integrates copies of transaction data from disparate source systems and provisions them for analytical use. The important distinction is that data warehouses are designed to handle analytics required for improving quality and costs in the new healthcare environment. A transactional database, like an EHR, doesn’t lend itself to analytics.
Understanding SAS Data Step Processingguest2160992
Learning
Base SAS,
Advanced SAS,
Proc SQl,
ODS,
SAS in financial industry,
Clinical trials,
SAS Macros,
SAS BI,
SAS on Unix,
SAS on Mainframe,
SAS interview Questions and Answers,
SAS Tips and Techniques,
SAS Resources,
SAS Certification questions...
visit http://sastechies.blogspot.com
EHR Integration: Achieving this Digital Health ImperativeHealth Catalyst
As the digital trajectory of healthcare rises, health systems have an array of new resources available to make more effective and timely care decisions. However, to use these data analytics, machine learning, predictive analytics, and wellness applications to gain real-time, data-driven insight at the point of care, health systems must fully integrate the tools with their EHRs. Integration brings technical and administrative challenges, requiring organizations to coordinate around standards, administrative processes, regulatory principles, and functional integration, as well as develop compelling integration use cases that drive demand. When realized, full EHR integration will allow clinicians to leverage data from across the continuum of care (from health plan to patient-generated data) to improve patient diagnosis and treatment.
An Introduction to Architecture of Object Oriented Database Management System and how it differs from RDBMS means Relational Database Management System
Capella Days 2021 | Introduction to CAPELLA/ARCADIA and NASA Systems Engineer...Obeo
The NASA System Engineering (SE) handbook aims to provide general guidance and information on systems engineering, as it should be applied throughout NASA. The handbook introduces 3 common technical processes. One of these, is the System Design Process, describing the stakeholders expectations, requirements definition, logical decomposition and design solution definition. The 4 activities can be supported by a Model-Based Systems Engineering (MBSE) approach. To do so, an appropriate method and tool is necessary as the one provided by the ARChitecture Analysis & Design Integrated Approach.
ARCADIA, with its modeler CAPELLA, is a MBSE solution supporting system modeling activities. Based on 4 architectural layers, which are Operational Analysis, System Analysis, Logical and Physical Architecture, it is a structured architecture engineering method for defining and validating multi-domain systems.
This talk will present an educational overview of the ARCADIA methodology and System Design Process from the NASA SE, by introducing MBSE artefacts for space system.
The HUBBLE Space Telescope (HST) is a Cassegrain reflector telescope. Orbiting above the earth, HST elaborates a clear view of the universe free from the blurring and absorbing effects of the atmosphere. In order to illustrate the journey throughout CAPELLA, the HST will be introduced, as example, based on public information available.
Learning
Base SAS,
Advanced SAS,
Proc SQl,
ODS,
SAS in financial industry,
Clinical trials,
SAS Macros,
SAS BI,
SAS on Unix,
SAS on Mainframe,
SAS interview Questions and Answers,
SAS Tips and Techniques,
SAS Resources,
SAS Certification questions...
visit http://sastechies.blogspot.com
DataOps: An Agile Method for Data-Driven OrganizationsEllen Friedman
DataOps expands DevOps philosophy to include data-heavy roles (data engineering & data science). DataOps uses better cross-functional collaboration for flexibility, fast time to value and an agile workflow for data-intensive applications including machine learning pipelines. (Strata Data San Jose March 2018)
PHP provides access to a great number of different database systems, many of which are relational in nature and can be interrogated using Structured Query Language (SQL).
Data product thinking-Will the Data Mesh save us from analytics historyRogier Werschkull
Data Mesh: What is it, for Who, for who definitely not?
What are it's foundational principles and how could we take some of them to our current Data Analytical Architectures?
Mastering modes and states is key to analyze the expected behavior and performance of a system in different spectrums of situations.
However, as systems and missions become more complex,
the combination of modes and states across system, subsystem, and component levels becomes exponential and jeopardizes this good understanding.
In this webinar, we will:
Present the original Arcadia / Capella approach for integrating the study of the impacts of modes and states in architectural design, both from methodological and tooling perspectives.
Explain the introduction of the concepts of “configurations” and “situations” as means to specify and analyze the system in specific contexts.
Database vs Data Warehouse: A Comparative ReviewHealth Catalyst
What are the differences between a database and a data warehouse? A database is any collection of data organized for storage, accessibility, and retrieval. A data warehouse is a type of database the integrates copies of transaction data from disparate source systems and provisions them for analytical use. The important distinction is that data warehouses are designed to handle analytics required for improving quality and costs in the new healthcare environment. A transactional database, like an EHR, doesn’t lend itself to analytics.
With the highest infant mortality rate among the OECD nations, the challenges US faces are humongous. When spending trillions of dollars didn’t help, Obama government’s think-tank came up with Population Health Management. It has shown a lot of promise, but there is a lack of an organized approach.
Innovaccer service capabilities with case studiesAbhinav Shashank
Innovaccer is a California based research acceleration firm assisting hundreds of researchers from Harvard, Stanford, Wharton, MIT etc.
This slide describes our capabilities of assisting research endeavors. To get in touch with us, please write to info@innovaccer.com
To know more, please visit our website : www.innovaccer.com
The analytics journey to population health managementIBM Analytics
Critical drivers and changing expectations are transforming the healthcare industry, and advanced technologies are driving population health management with analytics. Start your analytics journey at http://ibm.co/healthcareanalytics
Population Health Management: Where are YOU?Phytel
This presentation explains how population health is fundamental to value-based delivery models, including key principles and definitions of PHM, as well as how to assess your organization’s “population health readiness.”
HIMSS 2016 "Predictive Analytics & Genomics in Population Health ManagementDaniel F. Hoemke
Presenting with BaseHealth Founder and Chief Science Officer, Dr. Hossein Fakhrai-Rad at HIMSS 2016. The next generation of total population health integrating genetic data with medical, lifestyle, family history and environmental data.
Integrating Behavioral Health into Primary Care – Thought Leaders in Populati...Epstein Becker Green
Although mental health and substance abuse (behavioral health) services have historically been segregated from traditional medical care, its impact on patients’ well-being, physical health and cost-of-care has become increasingly critical to improving clinical quality outcomes while significantly decreasing financial costs by tens of billions of dollars. Drs. Daviss and Coleman will discuss the advances in policy and practice regarding the integration of behavioral health with physical health, as well as some of the gaps in identifying, aggregating, and analyzing data critical to a more holistic and comprehensive view of the individual.
In addition, the speakers will:
* Identify the clinical, legal, social, and financial impacts of behavioral health disorders on chronic medical conditions.
* Describe the challenges involved in improving clinical and financial outcomes in patients with chronic medical conditions who also have behavioral health symptoms and/or conditions.
* Demonstrate the rewards for implementing new information technology applications and analysis for better clinical and financial outcomes for these specific populations.
Moderator
* Mark E. Lutes, Member of the Firm and Chair of Epstein Becker Green's Board of Directors
Speakers
* Charles A. Coleman, PhD, Senior Sponsor of IBM's Population Health Insights and Programs Management of IBM's Healthcare Solutions Board
* Steven R. Daviss, MD, DFAPA, Chief Medical Officer at M3 Information, LLC, a DC-based mobile mental health information technology company that developed the peer-reviewed multi-dimensional, patient-centered mental health screening tool, M3Clinician
Epstein Becker Green Webinar - Moderated by Mark E. Lutes - http://www.ebglaw.com/events/the-challenges-and-rewards-of-integrating-behavioral-health-into-primary-care-%E2%80%93-thought-leaders-in-population-health-webinar-series/
These materials have been provided for informational purposes only and are not intended and should not be construed to constitute legal advice. The content of these materials is copyrighted to Epstein Becker & Green, P.C. ATTORNEY ADVERTISING.
To lower health costs, physician networks and medical homes must employ a closed loop population management program that focus on patient SOH stratification, chronic disease management, care coordination and incentive management. This approach will enable them to consistently reduce ER and inpatient admissions, which are the greatest expenditures in health care today.
Best Practices in Implementing Population Health Health Catalyst
To manage population health, one needs to intimately understand the anatomy of healthcare and model how healthcare is delivered, in order to systematically improve healthcare outcomes. In this webinar, Dr. Burton draws on his 26-year executive career at Intermountain, Select Health, and Health Catalyst. He emphasizes the importance of linking administrative data (e.g., billing codes) to processes of clinical care to use the 80/20 principle to prioritize care processes within each venue to focus improvement initiatives on the things that matter most. He will also discuss a Clinical Integration framework to use in driving out waste by reducing variation in the ordering of care, the efficiency with which the care that is ordered is delivered and reducing defects in care delivery to make it safer.
The 6 Critical Components of Population HealthHealth Catalyst
This article examines how to define population health through a review of the top analytics research firms. It lands on a single theme, but in the process it uncovers six common categories of IT capabilities required to successfully manage population health:
Data Aggregation
Patient Stratification
Care Coordination
Patient Engagement
Performance Reporting
Administrative/Business
These six strategic components define the population health ecosystem, and successful organizations must multitask across these domains, working with an enterprise data warehouse, if they hope to thrive in value-based healthcare and become true partners and assets in their respective communities.
Talks about best practices and patterns on how to design an efficient cube in Kylin. Covers concepts like mandatory dimension, hierarchy dimension, derived dimension, incremental build, aggregation group etc.
What Is Population Health And How Does It Compare to Public HealthHealth Catalyst
Master data management is key for healthcare organizations looks to integrate different systems. The two types of master data are identity data and reference data. Master data management is the process of linking identity data and reference data. MDM is important for mergers and acquisitions and health information exchanges. The three approaches for MDM are: IT system consolidation, Upstream MDM implementation, and Downstream master data reconciliation in an enterprise data warehouse.
The Formula for Optimizing the Value-Based Healthcare EquationHealth Catalyst
Two variables are required in the value-based healthcare equation if it is to add up to a profitable contract. One variable, optimizing the care for the patient population, is commonly included and is a focus for most healthcare systems involved in managing population health. However, a second variable, getting the right dollars in order to care for that population, is often overlooked. And yet this variable is easier to attain. It’s a matter of appropriately assessing the risk of the population by addressing inaccurate diagnoses coding. Here, we offer four methods for solving this variable: identifying high-risk gaps over time, persistent diagnosis tracking, identifying code adequacy, and identifying likely diagnoses.
HealthCursor Consulting Group India- Mobile Health is going to be a 3000 crore market in India by 2017. (Source PwC). M-health (use of mobile phones) and E-health are all set to make an entry into India's primary health centres (PHCs) and sub-centres as the health ministry plans to go hi-tech. Healthcare industry is expected to show a strong growth of 23% per annum to become a US$ 77 billion industry by 2012. One of the largest sector in terms of revenue and employment has grown at 9.3% per annum between 2000-2009 with a current size at par with fastest growing developing country like China, Brazil and Mexico.Driven by various catalysts such as increasing population, rising income levels, changing demographics and illness profile with a shift from chronic to life style diseases, healthcare industry is expected to move to levels of US$ 77 billion in next 3 years. (Source: ASSOCHAM).
Empowering rural India is of utmost importance and the government needs to do so by provisioning for broadband penetration and financial inclusion. Access to quality health care is another key to achieving rural empowerment. The budget for this segment was raised marginally last year and it would be good to have an allocation for rural health care programs with provisions for technology that would help modernize this sector to expand its reach through remote healthcare solutions and telemedicine.
Furthermore, the government announced a big budget campaign 'Swabhimaan' in the budget last year to promote banking and provide services to about 20,000 villages. In order to meet this goal, the budget this year too would need to make provisions accordingly. The steering committee on health said that in the 12th plan (2012-17), all district hospitals would be linked to leading tertiary care centres through telemedicine, Skype and similar audio visual media. M-health will be used to speed up transmission of data. Disease surveillance will be put on a GIS platform.
Disease surveillance based on reporting by providers and clinical laboratories (public and private) to detect and act on disease outbreaks and epidemics would be an integral component of the system.India will also put in place a Citizen Health Information System (CHIS) - a biometric based health information system which will constantly update health record of every citizen-family. The system will incorporate registration of births, deaths and cause of death. Maternal and infant death reviews, nutrition surveillance, particularly among under-six children andwomen, service delivery in the public health system, hospital information service besides improving access of public to their own health information and medical records would be the primary function of the CHIS.
Economies of Indian states can grow 1.08 per cent faster with every 10 per cent increase in Internet and broadband connections.
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.
Quality Improvement Strategies: quality improvement tools, factors that help to create and sustain Healthcare Informatics as a new field. quality improvement cycle: PDCA (Plan, Do, Check, Act) Cycle.
Consumerism, Innovation and Best Practices to Thrive in the Future of HealthJustin Barnes
May 1, 2019 University of Toronto, Dalla Lana School of Public Health, The Institute of Health Policy, Management and Evaluation (IHPME) Keynote speaker Justin Barnes, a health innovation strategist and co-founder of Health Innovation Think Tank, will provide yet another integral perspective focused on the ways in which we can scale up and implement evidence-based changes in health care technology on a global scale. Having testified before Congress on more than twenty occasions delivering statements on virtual care, alternative payment methods, consumerism, connected health and the globalization of healthcare, Justin offers thought leadership for the university, the healthcare community as well as other key stakeholders.
Consumer Driven Health – IHPME Research Day
Looks to the Future of Health Care
The trend towards consumer driven health, whether it be mobile apps, wearable devices, or easy access to electronic health records, is changing the landscape of our health care system and the way we think about care.
Emergency Department Quality Improvement Transforming the Delivery of CareHealth Catalyst
Overcrowding in the emergency department has been associated with increased inpatient mortality, increased length of stay, and increased costs for admitted patients. ED wait times and patients who leave without seeing a qualified medical provider are indicators of overcrowding. A data-driven system approach is needed to address these problems and redesign the delivery of emergency care.
This article explores common problems in emergency care and insights into embarking on a successful quality improvement journey to transform care delivery in the ED, including an exploration of the following topics:
A four-step approach to redesigning the delivery of emergency care.
Understanding ED performance.
Revising High-Impact Workflows.
Revising Staffing Patterns.
Setting Leadership Expectations.
Improving the Patient Experience.
Patient relationship management on the cloudComidor
Healthcare organizations have realized that having long-term relationships with their customers can help improve their satisfaction and general health. As a result they want to build strong relationships with their patients.The best way to achieve that is the use of Patient Relationship Management (PRM).
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.
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.
CFO Strategies for Balancing Fee-for-Service and ValuePhytel
Moving from fee-for-service to value-based care is not easy. However, leading health systems are all following a similar blueprint that enables the move to value-based care.
Download this whitepaper to learn how:
- Bon Secours Richmond - Closed 75,801 gaps in care within 12 months, generating $7 million in revenue for chronic & preventive care, while improving quality.
- Northeast Georgia Medical Center - Decreased HbA1C levels across uncontrolled diabetes by an average of 1.6 points within 120 days.
- Riverside Medical Center - Reduced unnecessary readmissions by 40% by using automation to reach and assess patients post discharge.
- Prevea Health - Increased care management productivity by 150% by automatically identifying high risk patients, and automating patient engagement.
Making the shift to value-based care is not easy. However, a growing number of healthcare organizations are finding success leveraging Lean process improvement and health IT to reduce waste, lower costs, and improve quality.
In fact, leading health systems like Bon Secours, Prevea Health, and North Mississippi Medical Center are using these principles to improve care management processes and achieve better patient outcomes.
We have assembled these strategies into a new whitepaper. You will learn:
- How key concepts of Lean thinking can be applied to healthcare
- Why high-performing practices are using Lean to enable care team members to provide better care
- The financial advantages of a team-based, population health management approach in a value-based reimbursement system
Population Health Approach for Diabetic Patients with Poor A1c ControlPhytel
New clinical research from The American Journal of Managed Care is available on the benefits of a population health approach for diabetes care. The peer-reviewed findings underline the importance of proactive health management for all patients, not just those with already high A1c levels.
Building Clinical Integration as a Foundation to Become a Successful ACOPhytel
More and more healthcare organizations are recognizing that clinical integration of providers is a prerequisite to care coordination, population health management, and accountable care organizations. They also know that patient centered medical homes—the building blocks of ACOs—can thrive only in patient-centered medical neighborhoods where specialists collaborate with primary care physicians. For this cooperation to be truly effective, all of these providers must be clinically integrated. This paper explains the components of clinical integration and summarizes the kinds of information technology required for its implementation. Case studies of organizations that are building the necessary infrastructure are also included.
Scaling the PCMH Delivery Model with AutomationPhytel
The patient-centered medical home continues to make progress. Much remains to be learned about the most effective techniques for building and maintaining a PCMH. But three conclusions can already be drawn from the pilots that have already been done:
1) Successful medical homes will have to perform population health management;
2) They will need a variety of health IT tools to do that and to coordinate care effectively; and
3) They will have to gain the cooperation of the other providers in their medical neighborhoods.
Major changes in practice workflow and work roles must accompany the proper use of information technology. In the end, practices must be completely reengineered to provide effective, patient-centered medical homes—and the environment in which they operate must also change to permit seamless care coordination. But all of this change can be less painful and lead to more productive results if practices use the right combination of technologies to scale population health management.
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.
Accountable Care Organizations and The Medicare Shared Savings ProgramPhytel
Population Health Management, Enabled by Information Technology, Will Be Critical To Success. In 2012, the Centers for Medicare and Medicaid Services (CMS) will launch a shared-savings program with accountable care organizations (ACOs). ACOs that meet specified quality goals will be able to split with CMS any savings that surpass a minimum level. The challenge facing ACOs is choosing the right information technologies so they can track the health status of and the care provided to every one of their patients to produce significant savings or meet the quality benchmarks of CMS
The patient-centered medical home (PCMH), an approach designed to rebuild primary care and improve care coordination, has become a major focus of healthcare reform. Thousands of physicians are already participating in medical home pilot projects across the country. Now is the time for practices to investigate the information technology tools that will help them medical home certification requirements.
New Technologies Are Required To Automate Expanded Physician Workflow. To create a sustainable healthcare system that provides affordable, high-quality healthcare to all, we will have to adopt a population health management (PHM) approach. While the transition to PHM will be difficult for providers and patients alike, the change could be facilitated and accelerated through the use of health information technology, self management tools, and automated reminders that are persistent in changing behaviors.
Provider Based Patient Engagement - An Essential Strategy for Population HealthPhytel
As the healthcare industry starts to re-engineer care delivery to accommodate new reimbursement models, providers on the front lines of change recognize the need for population health management and for increasing patients’ engagement in their own care. These two approaches are inextricably bound together, because it is impossible to manage the health of a population without getting patients more involved in self-management and the modification of their own risk factors. This paper discusses the fundamentals of patient engagement and shows how automation tools and web-based care management can facilitate this key process.
Automated Post-Discharge Care: An Essential Tool to Reduce ReadmissionsPhytel
Readmissions are a major problem in U.S. healthcare. Nearly one in five Medicare patients that are discharged from the hospital returns there within 30 days, and between 50 percent and 75 percent of those readmissions are considered preventable. Medicare pays about $17 billion annually for 2.5 million rehospitalizations of its beneficiaries and other payers spend roughly the same amount every year for all readmissions of non-Medicare patients.
MANAGEMENT OF ATRIOVENTRICULAR CONDUCTION BLOCK.pdfJim Jacob Roy
Cardiac conduction defects can occur due to various causes.
Atrioventricular conduction blocks ( AV blocks ) are classified into 3 types.
This document describes the acute management of AV block.
ARTIFICIAL INTELLIGENCE IN HEALTHCARE.pdfAnujkumaranit
Artificial intelligence (AI) refers to the simulation of human intelligence processes by machines, especially computer systems. It encompasses tasks such as learning, reasoning, problem-solving, perception, and language understanding. AI technologies are revolutionizing various fields, from healthcare to finance, by enabling machines to perform tasks that typically require human intelligence.
Explore natural remedies for syphilis treatment in Singapore. Discover alternative therapies, herbal remedies, and lifestyle changes that may complement conventional treatments. Learn about holistic approaches to managing syphilis symptoms and supporting overall health.
Recomendações da OMS sobre cuidados maternos e neonatais para uma experiência pós-natal positiva.
Em consonância com os ODS – Objetivos do Desenvolvimento Sustentável e a Estratégia Global para a Saúde das Mulheres, Crianças e Adolescentes, e aplicando uma abordagem baseada nos direitos humanos, os esforços de cuidados pós-natais devem expandir-se para além da cobertura e da simples sobrevivência, de modo a incluir cuidados de qualidade.
Estas diretrizes visam melhorar a qualidade dos cuidados pós-natais essenciais e de rotina prestados às mulheres e aos recém-nascidos, com o objetivo final de melhorar a saúde e o bem-estar materno e neonatal.
Uma “experiência pós-natal positiva” é um resultado importante para todas as mulheres que dão à luz e para os seus recém-nascidos, estabelecendo as bases para a melhoria da saúde e do bem-estar a curto e longo prazo. Uma experiência pós-natal positiva é definida como aquela em que as mulheres, pessoas que gestam, os recém-nascidos, os casais, os pais, os cuidadores e as famílias recebem informação consistente, garantia e apoio de profissionais de saúde motivados; e onde um sistema de saúde flexível e com recursos reconheça as necessidades das mulheres e dos bebês e respeite o seu contexto cultural.
Estas diretrizes consolidadas apresentam algumas recomendações novas e já bem fundamentadas sobre cuidados pós-natais de rotina para mulheres e neonatos que recebem cuidados no pós-parto em unidades de saúde ou na comunidade, independentemente dos recursos disponíveis.
É fornecido um conjunto abrangente de recomendações para cuidados durante o período puerperal, com ênfase nos cuidados essenciais que todas as mulheres e recém-nascidos devem receber, e com a devida atenção à qualidade dos cuidados; isto é, a entrega e a experiência do cuidado recebido. Estas diretrizes atualizam e ampliam as recomendações da OMS de 2014 sobre cuidados pós-natais da mãe e do recém-nascido e complementam as atuais diretrizes da OMS sobre a gestão de complicações pós-natais.
O estabelecimento da amamentação e o manejo das principais intercorrências é contemplada.
Recomendamos muito.
Vamos discutir essas recomendações no nosso curso de pós-graduação em Aleitamento no Instituto Ciclos.
Esta publicação só está disponível em inglês até o momento.
Prof. Marcus Renato de Carvalho
www.agostodourado.com
New Drug Discovery and Development .....NEHA GUPTA
The "New Drug Discovery and Development" process involves the identification, design, testing, and manufacturing of novel pharmaceutical compounds with the aim of introducing new and improved treatments for various medical conditions. This comprehensive endeavor encompasses various stages, including target identification, preclinical studies, clinical trials, regulatory approval, and post-market surveillance. It involves multidisciplinary collaboration among scientists, researchers, clinicians, regulatory experts, and pharmaceutical companies to bring innovative therapies to market and address unmet medical needs.
Basavarajeeyam is an important text for ayurvedic physician belonging to andhra pradehs. It is a popular compendium in various parts of our country as well as in andhra pradesh. The content of the text was presented in sanskrit and telugu language (Bilingual). One of the most famous book in ayurvedic pharmaceutics and therapeutics. This book contains 25 chapters called as prakaranas. Many rasaoushadis were explained, pioneer of dhatu druti, nadi pareeksha, mutra pareeksha etc. Belongs to the period of 15-16 century. New diseases like upadamsha, phiranga rogas are explained.
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These simplified slides by Dr. Sidra Arshad present an overview of the non-respiratory functions of the respiratory tract.
Learning objectives:
1. Enlist the non-respiratory functions of the respiratory tract
2. Briefly explain how these functions are carried out
3. Discuss the significance of dead space
4. Differentiate between minute ventilation and alveolar ventilation
5. Describe the cough and sneeze reflexes
Study Resources:
1. Chapter 39, Guyton and Hall Textbook of Medical Physiology, 14th edition
2. Chapter 34, Ganong’s Review of Medical Physiology, 26th edition
3. Chapter 17, Human Physiology by Lauralee Sherwood, 9th edition
4. Non-respiratory functions of the lungs https://academic.oup.com/bjaed/article/13/3/98/278874
Lung Cancer: Artificial Intelligence, Synergetics, Complex System Analysis, S...Oleg Kshivets
RESULTS: Overall life span (LS) was 2252.1±1742.5 days and cumulative 5-year survival (5YS) reached 73.2%, 10 years – 64.8%, 20 years – 42.5%. 513 LCP lived more than 5 years (LS=3124.6±1525.6 days), 148 LCP – more than 10 years (LS=5054.4±1504.1 days).199 LCP died because of LC (LS=562.7±374.5 days). 5YS of LCP after bi/lobectomies was significantly superior in comparison with LCP after pneumonectomies (78.1% vs.63.7%, P=0.00001 by log-rank test). AT significantly improved 5YS (66.3% vs. 34.8%) (P=0.00000 by log-rank test) only for LCP with N1-2. Cox modeling displayed that 5YS of LCP significantly depended on: phase transition (PT) early-invasive LC in terms of synergetics, PT N0—N12, cell ratio factors (ratio between cancer cells- CC and blood cells subpopulations), G1-3, histology, glucose, AT, blood cell circuit, prothrombin index, heparin tolerance, recalcification time (P=0.000-0.038). Neural networks, genetic algorithm selection and bootstrap simulation revealed relationships between 5YS and PT early-invasive LC (rank=1), PT N0—N12 (rank=2), thrombocytes/CC (3), erythrocytes/CC (4), eosinophils/CC (5), healthy cells/CC (6), lymphocytes/CC (7), segmented neutrophils/CC (8), stick neutrophils/CC (9), monocytes/CC (10); leucocytes/CC (11). Correct prediction of 5YS was 100% by neural networks computing (area under ROC curve=1.0; error=0.0).
CONCLUSIONS: 5YS of LCP after radical procedures significantly depended on: 1) PT early-invasive cancer; 2) PT N0--N12; 3) cell ratio factors; 4) blood cell circuit; 5) biochemical factors; 6) hemostasis system; 7) AT; 8) LC characteristics; 9) LC cell dynamics; 10) surgery type: lobectomy/pneumonectomy; 11) anthropometric data. Optimal diagnosis and treatment strategies for LC are: 1) screening and early detection of LC; 2) availability of experienced thoracic surgeons because of complexity of radical procedures; 3) aggressive en block surgery and adequate lymph node dissection for completeness; 4) precise prediction; 5) adjuvant chemoimmunoradiotherapy for LCP with unfavorable prognosis.