What is implementation science and why should you careLisa Muldrew
This seminar will discuss the emerging field of implementation science with a focus on its application within clinical settings. Topics will include an overview of implementation science, how implementation science is positioned within the translation continuum, common conceptual models and analytic frameworks used in implementation science and a study example.
The scientific study of methods to promote the systematic uptake of research findings and other evidence-based practices into routine practice and hence improve the quality and effectiveness of health services
In first of two-part series, Pamela Greenhouse explores the differences and similarities of the Patient and Family Centered Care Methodology and Practice (PFCC M/P) and leean process improvement approachs, such as Lean, Six Sigma and Toyota. She believes that the PFCC M/P can be the unifying theme for health care, incorporating both process improvement and performance improvement.
An integrated model of psychosocial cancer care: a work in progress…Cancer Institute NSW
Cancer patients are faced with a multitude of stressors, from diagnosis, through treatment, at recurrence, in the stages following treatment completion, and in the terminal phase. Psychosocial care has been highlighted as a critical aspect of providing comprehensive patient-focused care. Specifically, one of the goals of The NSW Cancer Plan 2011-2015 is to improve the quality of life of people with cancer and their carers. This project was initiated to improve the current psychosocial model of care at The Kinghorn Cancer Centre (TKCC), to better reflect an integrated, holistic and comprehensive model of patient-centred care.
Sills MR. Overview of the SAFTINet Program. Presented to the Emergency Department Research Committee, Department of Pediatrics, University of Colorado School of Medicine. 6 January 2015.
Josephine Briggs, MD
Director
National Center for Complementary and Alternative Medicine
National Institutes of Health
Opening Keynote "Research in an IT Connected World: Building Better Partnerships – NIH and Health Care Systems"
The era of ‘Big Data’ has arrived for biomedical research, bringing with it immense challenges as well as spectacular opportunities. NIH is establishing major programs with the potential to transform the future of US biomedical research by building the capacities necessary for these challenges. These programs will strengthen research partnerships with health care systems and the IT networks that support them.
The Big Data to Knowledge (BD2K) initiative, to be launched in 2014, will implement a set of recommendations from the Data and Informatics Working Group to the Advisory Committee to the Director. Investments are planned to meet scientific needs to manage and utilize large complex datasets, including strengthening training, and investing in improved analysis methods and software development and dissemination. NIH is also evaluating strengthening data and software sharing policies, and the potential creation of catalogs of research data, and data/metadata standards.
The Common Fund’s Health Care Systems (HCS) Research Collaboratory program has the goal to strengthen the national capacity to implement cost-effective large-scale research studies by engaging major health care delivery organizations as research partners. The aim of the program is to provide a framework of implementation methods and best practices that will enable the participation of many health care systems in clinical research. Research conducted in partnership with health care systems is essential to strengthen the relevance of research results to health practice. Seven demonstration projects, currently in a feasibility phase, are developing detailed methods to implement rigorous randomized studies of questions of major public health impact. These studies, and the IT infrastructure that will make them possible, will be described in detail.
What is implementation science and why should you careLisa Muldrew
This seminar will discuss the emerging field of implementation science with a focus on its application within clinical settings. Topics will include an overview of implementation science, how implementation science is positioned within the translation continuum, common conceptual models and analytic frameworks used in implementation science and a study example.
The scientific study of methods to promote the systematic uptake of research findings and other evidence-based practices into routine practice and hence improve the quality and effectiveness of health services
In first of two-part series, Pamela Greenhouse explores the differences and similarities of the Patient and Family Centered Care Methodology and Practice (PFCC M/P) and leean process improvement approachs, such as Lean, Six Sigma and Toyota. She believes that the PFCC M/P can be the unifying theme for health care, incorporating both process improvement and performance improvement.
An integrated model of psychosocial cancer care: a work in progress…Cancer Institute NSW
Cancer patients are faced with a multitude of stressors, from diagnosis, through treatment, at recurrence, in the stages following treatment completion, and in the terminal phase. Psychosocial care has been highlighted as a critical aspect of providing comprehensive patient-focused care. Specifically, one of the goals of The NSW Cancer Plan 2011-2015 is to improve the quality of life of people with cancer and their carers. This project was initiated to improve the current psychosocial model of care at The Kinghorn Cancer Centre (TKCC), to better reflect an integrated, holistic and comprehensive model of patient-centred care.
Sills MR. Overview of the SAFTINet Program. Presented to the Emergency Department Research Committee, Department of Pediatrics, University of Colorado School of Medicine. 6 January 2015.
Josephine Briggs, MD
Director
National Center for Complementary and Alternative Medicine
National Institutes of Health
Opening Keynote "Research in an IT Connected World: Building Better Partnerships – NIH and Health Care Systems"
The era of ‘Big Data’ has arrived for biomedical research, bringing with it immense challenges as well as spectacular opportunities. NIH is establishing major programs with the potential to transform the future of US biomedical research by building the capacities necessary for these challenges. These programs will strengthen research partnerships with health care systems and the IT networks that support them.
The Big Data to Knowledge (BD2K) initiative, to be launched in 2014, will implement a set of recommendations from the Data and Informatics Working Group to the Advisory Committee to the Director. Investments are planned to meet scientific needs to manage and utilize large complex datasets, including strengthening training, and investing in improved analysis methods and software development and dissemination. NIH is also evaluating strengthening data and software sharing policies, and the potential creation of catalogs of research data, and data/metadata standards.
The Common Fund’s Health Care Systems (HCS) Research Collaboratory program has the goal to strengthen the national capacity to implement cost-effective large-scale research studies by engaging major health care delivery organizations as research partners. The aim of the program is to provide a framework of implementation methods and best practices that will enable the participation of many health care systems in clinical research. Research conducted in partnership with health care systems is essential to strengthen the relevance of research results to health practice. Seven demonstration projects, currently in a feasibility phase, are developing detailed methods to implement rigorous randomized studies of questions of major public health impact. These studies, and the IT infrastructure that will make them possible, will be described in detail.
Protocols and Evidence based Healthcare: information technology tools to support best practices in health care, information technology tools that inform and empower patients.
MIE Medical Informatics in Europe: European Federation for Medical Informatics (EFMI) annual meeting
Worklshop: Addressing Patient Adherence Issues by Engaging Enabling Technologies
Chair: Pei-Yun Sabrina Hsueh (IBM T.J. Watson Research Center)
Pei-Yun Sabrina HSUEHa, , Marion BALL b,a, Michael MARSCHOLLEKc, Fernando J. MARTIN-SANCHEZd , Chohreh PARTOVIANa, and Vimla PATELe
aIBM T.J. Watson Research Center, NY, USA
b John Hopkins University, MD, USA
c Hannover Medical School, Germany
d Melbourne Medical School, Australia
e Center for Cognitive Studies in Medicine and Public Health, The New York Academy, USA
Abstract One of the well known issues providers have contended with for many years is the issue of patients’ adherence to their care plans and medications outside clinical encounters. In this workshop, we review proof of concept studies using technology at the point of care to assess patient literacy and self-efficacy to provide timely intervention, remedy, and improvements in cost and quality. We focus on patient-generated information, including patient reported data and measurements from devices and sensors, as key to improving patient safety, gaining “meaningful use” data, improving patient centric care, and assisting providers in learning more about their patient needs to improve outcomes. We look into barriers to adherence, basic understanding of the patients and providers roles in improving adherence, and the use of technology to assist patients in staying on track. The participants will address their findings in the integration of patient-generated information into everyday life and clinical practice and share lessons learned from implementing these designs in practice. This workshop aims to share requirements for the next-generation healthcare systems, especially in areas where the explosive availability of patient-generated data is expected to make impacts.
Rob Reid: Redesigning primary care: the Group Health journeyThe King's Fund
Rob Reid, Senior Investigator at Group Health Research Institute, explains the journey taken by Group Health in support of integrated primary care. A case study in how primary care can be delivered effectively and efficiently to a population, Rob laid out the challenges facing general practice in the States, and how Group Health worked to improve the situation for both patients and the workforce.
Policy Implications of Healthcare Associated InfectionsAlbert Domingo
On February 19, 2014 at the Ateneo School of Medicine and Public Health in Pasig City, Dr. Albert Domingo presented an introduction to the economic impact of healthcare associated infections (HAIs) as well as related concepts in health policy and management. The speaker discussed common approaches taken to ascertain the economic impact of HAIs, followed by factors/considerations in Philippine health policy and management that must be understood and adjusted in order to minimize HAIs.
Chapter 4 Knowledge Discovery, Data Mining, and Practice-Based Evi.docxchristinemaritza
Chapter 4 Knowledge Discovery, Data Mining, and Practice-Based Evidence
Mollie R. Cummins
Ginette A. Pepper
Susan D. Horn
The next step to comparative effectiveness research is to conduct more prospective large-scale observational cohort studies with the rigor described here for knowledge discovery and data mining (KDDM) and practice-based evidence (PBE) studies.
Objectives
At the completion of this chapter the reader will be prepared to:
1.Define the goals and processes employed in knowledge discovery and data mining (KDDM) and practice-based evidence (PBE) designs
2.Analyze the strengths and weaknesses of observational designs in general and of KDDM and PBE specifically
3.Identify the roles and activities of the informatics specialist in KDDM and PBE in healthcare environments
Key Terms
Comparative effectiveness research, 69
Confusion matrix, 62
Data mining, 61
Knowledge discovery and data mining (KDDM), 56
Machine learning, 56
Natural language processing (NLP), 58
Practice-based evidence (PBE), 56
Preprocessing, 56
Abstract
The advent of the electronic health record (EHR) and other large electronic datasets has revolutionized efficient access to comprehensive data across large numbers of patients and the concomitant capacity to detect subtle patterns in these data even with missing or less than optimal data quality. This chapter introduces two approaches to knowledge building from clinical data: (1) knowledge discovery and data mining (KDDM) and (2) practice-based evidence (PBE). The use of machine learning methods in retrospective analysis of routinely collected clinical data characterizes KDDM. KDDM enables us to efficiently and effectively analyze large amounts of data and develop clinical knowledge models for decision support. PBE integrates health information technology (health IT) products with cohort identification, prospective data collection, and extensive front-line clinician and patient input for comparative effectiveness research. PBE can uncover best practices and combinations of treatments for specific types of patients while achieving many of the presumed advantages of randomized controlled trials (RCTs).
Introduction
Leaders need to foster a shared learning culture for improving healthcare. This extends beyond the local department or institution to a value for creating generalizable knowledge to improve care worldwide. Sound, rigorous methods are needed by researchers and health professionals to create this knowledge and address practical questions about risks, benefits, and costs of interventions as they occur in actual clinical practice. Typical questions are as follows:
•Are treatments used in daily practice associated with intended outcomes?
•Can we predict adverse events in time to prevent or ameliorate them?
•What treatments work best for which patients?
•With limited financial resources, what are the best interventions to use for specific types of patients?
•What types of indi ...
Michigan Hospital Association Governance meetingMary Beth Bolton
Patient centered medical home activities in MI and Nationally and the opportunity to improve quality outcomes by increased access to primary care doctors who outreach members who are missing preventive and chronic care services.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
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.
1. Implementation of Health Information Technology in VHA to Support Transformational Change: Improved Access and Patient Centered Care Neale R. Chumbler, PhD Research Scientist & Associate Professor Department of Health Services Research, Management and Policy