Objectives:
1.Introduce the Measuring and Monitoring of Safety Framework to a Canadian healthcare audience
2.Describe how the framework would work in Canada
Objectives:
1.Introduce the Measuring and Monitoring of Safety Framework to a Canadian healthcare audience
2.Describe how the framework would work in Canada
This second interactive webinar in the series will draw upon Dr. Ian Graham's Knowledge to Action cycle and focus specifically on the central role of developing and synthesising evidence of what to implement and which knowledge translation and implementation strategies are most effective for promoting implementation, and developing the knowledge infrastructure to make best use of evidence.
Quality and safety, Vision 2025, Specific challenges of Nursing on quality, Quality improvement division, Fish bone technique,QI model, PDCA, Role of Nurse, Empowerment, Nursing positioning and policies,
Adaptation of DECISION+: a Training Program in Shared Decision Making on the ...Patrick Archambault
Poster presented at the 2016 Canadian Association of Emergency Physicians conference about the adaptation of the Decision+ program about using antibiotics for upper respiratory infections developed in primary care for the context of Emergency Medicine
Fully meeting the needs of those who need the service most, at the lowest cost to the organization, within limits and directives set by higher authority
Learn SQL from basic queries to Advance queriesmanishkhaire30
Dive into the world of data analysis with our comprehensive guide on mastering SQL! This presentation offers a practical approach to learning SQL, focusing on real-world applications and hands-on practice. Whether you're a beginner or looking to sharpen your skills, this guide provides the tools you need to extract, analyze, and interpret data effectively.
Key Highlights:
Foundations of SQL: Understand the basics of SQL, including data retrieval, filtering, and aggregation.
Advanced Queries: Learn to craft complex queries to uncover deep insights from your data.
Data Trends and Patterns: Discover how to identify and interpret trends and patterns in your datasets.
Practical Examples: Follow step-by-step examples to apply SQL techniques in real-world scenarios.
Actionable Insights: Gain the skills to derive actionable insights that drive informed decision-making.
Join us on this journey to enhance your data analysis capabilities and unlock the full potential of SQL. Perfect for data enthusiasts, analysts, and anyone eager to harness the power of data!
#DataAnalysis #SQL #LearningSQL #DataInsights #DataScience #Analytics
More Related Content
Similar to ALARM SYSTEM SAFETY IMPROVEMENT 2024 AND 2025
This second interactive webinar in the series will draw upon Dr. Ian Graham's Knowledge to Action cycle and focus specifically on the central role of developing and synthesising evidence of what to implement and which knowledge translation and implementation strategies are most effective for promoting implementation, and developing the knowledge infrastructure to make best use of evidence.
Quality and safety, Vision 2025, Specific challenges of Nursing on quality, Quality improvement division, Fish bone technique,QI model, PDCA, Role of Nurse, Empowerment, Nursing positioning and policies,
Adaptation of DECISION+: a Training Program in Shared Decision Making on the ...Patrick Archambault
Poster presented at the 2016 Canadian Association of Emergency Physicians conference about the adaptation of the Decision+ program about using antibiotics for upper respiratory infections developed in primary care for the context of Emergency Medicine
Fully meeting the needs of those who need the service most, at the lowest cost to the organization, within limits and directives set by higher authority
Learn SQL from basic queries to Advance queriesmanishkhaire30
Dive into the world of data analysis with our comprehensive guide on mastering SQL! This presentation offers a practical approach to learning SQL, focusing on real-world applications and hands-on practice. Whether you're a beginner or looking to sharpen your skills, this guide provides the tools you need to extract, analyze, and interpret data effectively.
Key Highlights:
Foundations of SQL: Understand the basics of SQL, including data retrieval, filtering, and aggregation.
Advanced Queries: Learn to craft complex queries to uncover deep insights from your data.
Data Trends and Patterns: Discover how to identify and interpret trends and patterns in your datasets.
Practical Examples: Follow step-by-step examples to apply SQL techniques in real-world scenarios.
Actionable Insights: Gain the skills to derive actionable insights that drive informed decision-making.
Join us on this journey to enhance your data analysis capabilities and unlock the full potential of SQL. Perfect for data enthusiasts, analysts, and anyone eager to harness the power of data!
#DataAnalysis #SQL #LearningSQL #DataInsights #DataScience #Analytics
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Round table discussion of vector databases, unstructured data, ai, big data, real-time, robots and Milvus.
A lively discussion with NJ Gen AI Meetup Lead, Prasad and Procure.FYI's Co-Found
Adjusting OpenMP PageRank : SHORT REPORT / NOTESSubhajit Sahu
For massive graphs that fit in RAM, but not in GPU memory, it is possible to take
advantage of a shared memory system with multiple CPUs, each with multiple cores, to
accelerate pagerank computation. If the NUMA architecture of the system is properly taken
into account with good vertex partitioning, the speedup can be significant. To take steps in
this direction, experiments are conducted to implement pagerank in OpenMP using two
different approaches, uniform and hybrid. The uniform approach runs all primitives required
for pagerank in OpenMP mode (with multiple threads). On the other hand, the hybrid
approach runs certain primitives in sequential mode (i.e., sumAt, multiply).
Unleashing the Power of Data_ Choosing a Trusted Analytics Platform.pdfEnterprise Wired
In this guide, we'll explore the key considerations and features to look for when choosing a Trusted analytics platform that meets your organization's needs and delivers actionable intelligence you can trust.
Analysis insight about a Flyball dog competition team's performanceroli9797
Insight of my analysis about a Flyball dog competition team's last year performance. Find more: https://github.com/rolandnagy-ds/flyball_race_analysis/tree/main
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Discussion on Vector Databases, Unstructured Data and AI
https://www.meetup.com/unstructured-data-meetup-new-york/
This meetup is for people working in unstructured data. Speakers will come present about related topics such as vector databases, LLMs, and managing data at scale. The intended audience of this group includes roles like machine learning engineers, data scientists, data engineers, software engineers, and PMs.This meetup was formerly Milvus Meetup, and is sponsored by Zilliz maintainers of Milvus.
2. Introduction
• A comprehensive approach to clinical alarm
systems is indispensable
• To achieve this:
Leaders should establish alarm system safety as
a hospital priority
Important alarm signals should be identified
Policies and procedures to address these alarm
signals should be identified
Practitioners and staff should be educated on the
safety of these systems
(The Joint Commission, 2021)
3. Alarm Systems Safety Prioritization
• Leaders should do the following:
Have a leadership buy-in
Communicate the value of alarm systems safety
Allocate appropriate resources
Develop performance metrics
(Sowan et al., 2022)
4. Alarm Systems Safety Prioritization Cont’d
• Leaders should do the following:
Allocate appropriate resources
Develop performance metrics
(Sowan et al., 2022)
5. Most Critical Alarm Signals
• These alarm signals include:
Cardiac arrhythmia alarms and ventilator alarms
High pressure alarms and low-oxygen saturation
alarms
Non-essential alarms and routine vital signal
alarms
Alarms associated with infusion pump
(Alsuyayfi & Alanazi, 2022)
6. Policies and Procedures for Alarms Management
• These policies and procedures include:
Alarm threshold and parameters should be based
on clinical evidence, best practices, expert
recommendations, and involvement of
multidisciplinary medical team.
Alarms should be disabled when they cause
undue noises and disruption. Approval is
necessary.
Clinical engineering staff should set initial alarm
parameters
Nurses should be responsible for alarm signals
monitoring
7. Staff and Practitioner Education
• Staff and practitioners should be trained on:
Purpose and significance of alarm systems
Proper operation of alarm systems
Roles and responsibilities of each of them
Real-life simulations on how to respond to
different alarms
How to monitor alarms remotely
8. Reference
• Alsuyayfi, S., & Alanazi, A. (2022). Impact of clinical alarms on patient safety from nurses’
perspective. Informatics in Medicine Unlocked, 32, 101047.
• Sowan, A. K., Staggers, N., Reed, C. C., Austin, T., Chen, Q., Xu, S., & Lopez, E. (2022). State of Science in
Alarm System Safety: Implications for Researchers, Vendors, and Clinical Leaders. Biomedical
instrumentation & technology, 56(1), 19-28.
• The Joint Commission. (2021). National Patient Safety Goals® Effective January 2021 for the Hospital
Program. A Trusted Partner in Patient Care | The Joint Commission. https://www.jointcommission.org/-
/media/tjc/documents/standards/national-patient-safety-goals/2021/npsg_chapter_hap_jan2021.pdf
Editor's Notes
Although clinical alarm systems play an essential role in alerting caregivers of potential patient issues, improper management often compromise patient safety. This issues is precipitated by a high number of alarm signals in a single care setting , inability to detect individual alarm signals, disturbances resulting from noises these signals make, prompting caregivers to disabling them, and narrow alarm limits. However, according to the Joint Commission (2021), this menace can be solved by developing a comprehensive and coordinated approach to clinical alarm systems management, improving patient safety. From a critical standpoint, key elements that should be integrated to make this possible include establishment of alarm system safety as a hospital priority by leaders, identifying alarm signals to be managed from a holistic and patient safety perspective, developing policies and procedures for managing these alarm signals, and educating practitioners and staff on the need and proper operation of these systems.
The first step towards prioritizing alarm system safety in the hospital setting includes leadership buy-in. Here, leaders should recognize the importance of alarm system safety. According to Sowan et al. (2022), this can be achieved by striving to understand data monitoring capabilities, deciding on patient safety metrics, establishing data-based continuous monitoring of alarm system safety for risky events, and participating in awareness campaigns. Besides, they can also communicate the criticality of alarm safety in different hospital setting, stressing the effect on patient care and safety. They can also communicate alarm-associated data at organizational level and disseminate strategies that have been shown to be effective in managing alarm systems and improving patient safety and outcome.
Leaders can also prioritize alarm systems safety in their respective hospital settings by allocating adequate resources, particularly financial and human resources to support different initiatives focused on alarm systems safety. Sowan et al. (2022) indicate that such resources can be useful in facilitating initiatives such as training programs that tackles clinical alarm systems associated problems and challenges and acquiring alarm system technologies that promote patient safety. In addition, clinical leaders can develop performance metrics that are associated with alarm system safety and implement them in their respective hospitals.
It is possible for hospitals to identify the most important alarm signals to manage based on various factors. Among this factors include input from the medical personnel and clinical departments. This multidisciplinary collaboration between the key stakeholders involved in patient care, including clinicians and nurses based on their expertise and experience can help identify clinically relevant alarm signals necessitating attention and management. Some of these alarm signals include cardiac arrhythmia alarms for clients admitted in the ICU and ventilator alarms for clients admitted in respiratory care unit. These alarms are critical because patients rely on complex and specialized care to survive. Besides, alarm signals can be identified based on the level of risks to patient that should be informed by a comprehensive risk assessment. Alarms that pose the highest risk to patient safety in case of failing to attend to them properly should be prioritized for management. Some of these alarm signals include high-pressure alarms on infusion pumps to mitigate against the administration of fluids that are dangerous. They can also include low-oxygen saturation alarm signals in the neonatal intensive care unit to mitigate against hypoxemia. In addition, Alsuyayfi & Alanazi (2022) indicate that this identification can be based on whether these alarms contribute to noise and alarm fatigue, the key major resulting in unprecedented adverse patient events and life-threatening conditions. Some of these alarms include non-essential alarms associated with patient movement and routine vital signal alarms that are not geared towards indicating any critical change in patient’s condition. Patient alarms that have been shown to contribute to patient harm and near misses including those associated with infusion pumps that cause medical errors should be identified.