SYSTEMS-LEVEL QUALITY IMPROVEMENTFrom Cues to Nudge A Kno.docxdeanmtaylor1545
SYSTEMS-LEVEL QUALITY IMPROVEMENT
From Cues to Nudge: A Knowledge-Based Framework
for Surveillance of Healthcare-Associated Infections
Arash Shaban-Nejad1,2 & Hiroshi Mamiya2 & Alexandre Riazanov3 & Alan J. Forster4 &
Christopher J. O. Baker2,5 & Robyn Tamblyn2 & David L. Buckeridge2
Received: 3 June 2015 /Accepted: 30 September 2015 /Published online: 4 November 2015
# Springer Science+Business Media New York 2015
Abstract We propose an integrated semantic web framework
consisting of formal ontologies, web services, a reasoner and a
rule engine that together recommend appropriate level of
patient-care based on the defined semantic rules and guide-
lines. The classification of healthcare-associated infections
within the HAIKU (Hospital Acquired Infections – Knowl-
edge in Use) framework enables hospitals to consistently fol-
low the standards along with their routine clinical practice and
diagnosis coding to improve quality of care and patient safety.
The HAI ontology (HAIO) groups over thousands of codes
into a consistent hierarchy of concepts, along with relation-
ships and axioms to capture knowledge on hospital-associated
infections and complications with focus on the big four types,
surgical site infections (SSIs), catheter-associated urinary tract
infection (CAUTI); hospital-acquired pneumonia, and blood
stream infection. By employing statistical inferencing in our
study we use a set of heuristics to define the rule axioms to
improve the SSI case detection. We also demonstrate how the
occurrence of an SSI is identified using semantic e-triggers.
The e-triggers will be used to improve our risk assessment of
post-operative surgical site infections (SSIs) for patients un-
dergoing certain type of surgeries (e.g., coronary artery bypass
graft surgery (CABG)).
Keywords Ontologies . Knowledge modeling .
Healthcare-associated infections . Surveillance . Semantic
framework . Surgical site infections
Introduction
Healthcare-associated Infections (HAIs) affect millions of
patients around the world, killing hundreds of thousands
and imposing, directly or indirectly, a significant socio-
economic burden on healthcare systems [1]. According
to the Centers for Disease Control (CDC) [2], hospital-
acquired infections in the U.S., where the point preva-
lence of HAIs among hospitalized patients is 4 %, result
in an estimated 1.7 million infections, which lead to as
many as 99,000 deaths and cost up to $45 billion annually
[3, 4]. Similar or higher rates of HAI occur in other coun-
tries as well with an estimated 10.5 % of patients in Ca-
nadian hospitals having an HAI [5]. Clinical assessment
and laboratory testing are generally used to detect and
confirm an infection, identify its origin, and determine
appropriate infection control methods to stop the infection
from spreading within a healthcare institution. Failure to
monitor, and detect HAI in timely manner can delay di-
agnosis, leading to complications (e.g., sepsis), and
allowing an epid.
SYSTEMS-LEVEL QUALITY IMPROVEMENTFrom Cues to Nudge A Knolisandrai1k
SYSTEMS-LEVEL QUALITY IMPROVEMENT
From Cues to Nudge: A Knowledge-Based Framework
for Surveillance of Healthcare-Associated Infections
Arash Shaban-Nejad1,2 & Hiroshi Mamiya2 & Alexandre Riazanov3 & Alan J. Forster4 &
Christopher J. O. Baker2,5 & Robyn Tamblyn2 & David L. Buckeridge2
Received: 3 June 2015 /Accepted: 30 September 2015 /Published online: 4 November 2015
# Springer Science+Business Media New York 2015
Abstract We propose an integrated semantic web framework
consisting of formal ontologies, web services, a reasoner and a
rule engine that together recommend appropriate level of
patient-care based on the defined semantic rules and guide-
lines. The classification of healthcare-associated infections
within the HAIKU (Hospital Acquired Infections – Knowl-
edge in Use) framework enables hospitals to consistently fol-
low the standards along with their routine clinical practice and
diagnosis coding to improve quality of care and patient safety.
The HAI ontology (HAIO) groups over thousands of codes
into a consistent hierarchy of concepts, along with relation-
ships and axioms to capture knowledge on hospital-associated
infections and complications with focus on the big four types,
surgical site infections (SSIs), catheter-associated urinary tract
infection (CAUTI); hospital-acquired pneumonia, and blood
stream infection. By employing statistical inferencing in our
study we use a set of heuristics to define the rule axioms to
improve the SSI case detection. We also demonstrate how the
occurrence of an SSI is identified using semantic e-triggers.
The e-triggers will be used to improve our risk assessment of
post-operative surgical site infections (SSIs) for patients un-
dergoing certain type of surgeries (e.g., coronary artery bypass
graft surgery (CABG)).
Keywords Ontologies . Knowledge modeling .
Healthcare-associated infections . Surveillance . Semantic
framework . Surgical site infections
Introduction
Healthcare-associated Infections (HAIs) affect millions of
patients around the world, killing hundreds of thousands
and imposing, directly or indirectly, a significant socio-
economic burden on healthcare systems [1]. According
to the Centers for Disease Control (CDC) [2], hospital-
acquired infections in the U.S., where the point preva-
lence of HAIs among hospitalized patients is 4 %, result
in an estimated 1.7 million infections, which lead to as
many as 99,000 deaths and cost up to $45 billion annually
[3, 4]. Similar or higher rates of HAI occur in other coun-
tries as well with an estimated 10.5 % of patients in Ca-
nadian hospitals having an HAI [5]. Clinical assessment
and laboratory testing are generally used to detect and
confirm an infection, identify its origin, and determine
appropriate infection control methods to stop the infection
from spreading within a healthcare institution. Failure to
monitor, and detect HAI in timely manner can delay di-
agnosis, leading to complications (e.g., sepsis), and
allowing an epid ...
White Paper - Infection Preventionists: Healthcare’s Guardians at the Gate Ne...Q-Centrix
This white paper examines a key player at the front lines of hospitals’ never-ending battles against HAIs –Infection Preventionists (IPs). It briefly explains their varied roles, responsibilities and new challenges, the difficulty in recruiting these highly sought-after experts, and why and how hospitals should be doing more to help overworked and understaffed IPs be successful. Lastly, it covers new technologies and IP support services that can be integrated into hospitals’ infection control practices.
SYSTEMS-LEVEL QUALITY IMPROVEMENTFrom Cues to Nudge A Kno.docxdeanmtaylor1545
SYSTEMS-LEVEL QUALITY IMPROVEMENT
From Cues to Nudge: A Knowledge-Based Framework
for Surveillance of Healthcare-Associated Infections
Arash Shaban-Nejad1,2 & Hiroshi Mamiya2 & Alexandre Riazanov3 & Alan J. Forster4 &
Christopher J. O. Baker2,5 & Robyn Tamblyn2 & David L. Buckeridge2
Received: 3 June 2015 /Accepted: 30 September 2015 /Published online: 4 November 2015
# Springer Science+Business Media New York 2015
Abstract We propose an integrated semantic web framework
consisting of formal ontologies, web services, a reasoner and a
rule engine that together recommend appropriate level of
patient-care based on the defined semantic rules and guide-
lines. The classification of healthcare-associated infections
within the HAIKU (Hospital Acquired Infections – Knowl-
edge in Use) framework enables hospitals to consistently fol-
low the standards along with their routine clinical practice and
diagnosis coding to improve quality of care and patient safety.
The HAI ontology (HAIO) groups over thousands of codes
into a consistent hierarchy of concepts, along with relation-
ships and axioms to capture knowledge on hospital-associated
infections and complications with focus on the big four types,
surgical site infections (SSIs), catheter-associated urinary tract
infection (CAUTI); hospital-acquired pneumonia, and blood
stream infection. By employing statistical inferencing in our
study we use a set of heuristics to define the rule axioms to
improve the SSI case detection. We also demonstrate how the
occurrence of an SSI is identified using semantic e-triggers.
The e-triggers will be used to improve our risk assessment of
post-operative surgical site infections (SSIs) for patients un-
dergoing certain type of surgeries (e.g., coronary artery bypass
graft surgery (CABG)).
Keywords Ontologies . Knowledge modeling .
Healthcare-associated infections . Surveillance . Semantic
framework . Surgical site infections
Introduction
Healthcare-associated Infections (HAIs) affect millions of
patients around the world, killing hundreds of thousands
and imposing, directly or indirectly, a significant socio-
economic burden on healthcare systems [1]. According
to the Centers for Disease Control (CDC) [2], hospital-
acquired infections in the U.S., where the point preva-
lence of HAIs among hospitalized patients is 4 %, result
in an estimated 1.7 million infections, which lead to as
many as 99,000 deaths and cost up to $45 billion annually
[3, 4]. Similar or higher rates of HAI occur in other coun-
tries as well with an estimated 10.5 % of patients in Ca-
nadian hospitals having an HAI [5]. Clinical assessment
and laboratory testing are generally used to detect and
confirm an infection, identify its origin, and determine
appropriate infection control methods to stop the infection
from spreading within a healthcare institution. Failure to
monitor, and detect HAI in timely manner can delay di-
agnosis, leading to complications (e.g., sepsis), and
allowing an epid.
SYSTEMS-LEVEL QUALITY IMPROVEMENTFrom Cues to Nudge A Knolisandrai1k
SYSTEMS-LEVEL QUALITY IMPROVEMENT
From Cues to Nudge: A Knowledge-Based Framework
for Surveillance of Healthcare-Associated Infections
Arash Shaban-Nejad1,2 & Hiroshi Mamiya2 & Alexandre Riazanov3 & Alan J. Forster4 &
Christopher J. O. Baker2,5 & Robyn Tamblyn2 & David L. Buckeridge2
Received: 3 June 2015 /Accepted: 30 September 2015 /Published online: 4 November 2015
# Springer Science+Business Media New York 2015
Abstract We propose an integrated semantic web framework
consisting of formal ontologies, web services, a reasoner and a
rule engine that together recommend appropriate level of
patient-care based on the defined semantic rules and guide-
lines. The classification of healthcare-associated infections
within the HAIKU (Hospital Acquired Infections – Knowl-
edge in Use) framework enables hospitals to consistently fol-
low the standards along with their routine clinical practice and
diagnosis coding to improve quality of care and patient safety.
The HAI ontology (HAIO) groups over thousands of codes
into a consistent hierarchy of concepts, along with relation-
ships and axioms to capture knowledge on hospital-associated
infections and complications with focus on the big four types,
surgical site infections (SSIs), catheter-associated urinary tract
infection (CAUTI); hospital-acquired pneumonia, and blood
stream infection. By employing statistical inferencing in our
study we use a set of heuristics to define the rule axioms to
improve the SSI case detection. We also demonstrate how the
occurrence of an SSI is identified using semantic e-triggers.
The e-triggers will be used to improve our risk assessment of
post-operative surgical site infections (SSIs) for patients un-
dergoing certain type of surgeries (e.g., coronary artery bypass
graft surgery (CABG)).
Keywords Ontologies . Knowledge modeling .
Healthcare-associated infections . Surveillance . Semantic
framework . Surgical site infections
Introduction
Healthcare-associated Infections (HAIs) affect millions of
patients around the world, killing hundreds of thousands
and imposing, directly or indirectly, a significant socio-
economic burden on healthcare systems [1]. According
to the Centers for Disease Control (CDC) [2], hospital-
acquired infections in the U.S., where the point preva-
lence of HAIs among hospitalized patients is 4 %, result
in an estimated 1.7 million infections, which lead to as
many as 99,000 deaths and cost up to $45 billion annually
[3, 4]. Similar or higher rates of HAI occur in other coun-
tries as well with an estimated 10.5 % of patients in Ca-
nadian hospitals having an HAI [5]. Clinical assessment
and laboratory testing are generally used to detect and
confirm an infection, identify its origin, and determine
appropriate infection control methods to stop the infection
from spreading within a healthcare institution. Failure to
monitor, and detect HAI in timely manner can delay di-
agnosis, leading to complications (e.g., sepsis), and
allowing an epid ...
White Paper - Infection Preventionists: Healthcare’s Guardians at the Gate Ne...Q-Centrix
This white paper examines a key player at the front lines of hospitals’ never-ending battles against HAIs –Infection Preventionists (IPs). It briefly explains their varied roles, responsibilities and new challenges, the difficulty in recruiting these highly sought-after experts, and why and how hospitals should be doing more to help overworked and understaffed IPs be successful. Lastly, it covers new technologies and IP support services that can be integrated into hospitals’ infection control practices.
Steps for Effective Patient and Staff Contact Tracing to Defend Against COVID...Health Catalyst
While the world waits for a vaccine or effective treatment for COVID-19, managing disease spread is paramount. For health systems, patient and staff contact tracing is one of the top transmission-control strategies. Because the virus appears to spread mainly through respiratory droplets from person-to-person contact, knowing where infected individuals have been and with whom they’ve been in contact is an essential capability. With this insight, organizations can manage transmission with data-driven emergency planning and monitoring capabilities. The resulting appropriate and timely workflow modifications will serve disease control efforts during the 2020 pandemic and help health systems prepare for future outbreaks.
Steps for Effective Patient and Staff Contact Tracing to Defend Against COVID...Health Catalyst
While the world waits for a vaccine or effective treatment for COVID-19, managing disease spread is paramount. For health systems, patient and staff contact tracing is one of the top transmission-control strategies. Because the virus appears to spread mainly through respiratory droplets from person-to-person contact, knowing where infected individuals have been and with whom they’ve been in contact is an essential capability. With this insight, organizations can manage transmission with data-driven emergency planning and monitoring capabilities. The resulting appropriate and timely workflow modifications will serve disease control efforts during the 2020 pandemic and help health systems prepare for future outbreaks.
How many patients does case series should have In comparison to case reports.pdfpubrica101
Pubrica’s team of researchers and writers create scientific and medical research articles, which may be important resources for authors and practitioners. Pubrica medical writers assist you in creating and revising the introduction by alerting the reader to gaps in the chosen study subject. Our professionals understand the order in which the hypothesis topic is followed by the broad subject, the issue, and the backdrop.
https://pubrica.com/academy/case-study-or-series/how-many-patients-does-case-series-should-have-in-comparison-to-case-reports/
Unlocking the Benefits of Cognitive Behavioural Therapy (CBT) with Renewed Edgerenewed edge
Discover the transformative potential of Cognitive Behavioural Therapy (CBT) with Renewed Edge. This presentation covers the core principles of CBT, its development, practical applications, benefits, and how to get started with this evidence-based approach to improving mental well-being.
CRISPR-Cas9, a revolutionary gene-editing tool, holds immense potential to reshape medicine, agriculture, and our understanding of life. But like any powerful tool, it comes with ethical considerations.
Unveiling CRISPR: This naturally occurring bacterial defense system (crRNA & Cas9 protein) fights viruses. Scientists repurposed it for precise gene editing (correction, deletion, insertion) by targeting specific DNA sequences.
The Promise: CRISPR offers exciting possibilities:
Gene Therapy: Correcting genetic diseases like cystic fibrosis.
Agriculture: Engineering crops resistant to pests and harsh environments.
Research: Studying gene function to unlock new knowledge.
The Peril: Ethical concerns demand attention:
Off-target Effects: Unintended DNA edits can have unforeseen consequences.
Eugenics: Misusing CRISPR for designer babies raises social and ethical questions.
Equity: High costs could limit access to this potentially life-saving technology.
The Path Forward: Responsible development is crucial:
International Collaboration: Clear guidelines are needed for research and human trials.
Public Education: Open discussions ensure informed decisions about CRISPR.
Prioritize Safety and Ethics: Safety and ethical principles must be paramount.
CRISPR offers a powerful tool for a better future, but responsible development and addressing ethical concerns are essential. By prioritizing safety, fostering open dialogue, and ensuring equitable access, we can harness CRISPR's power for the benefit of all. (2998 characters)
CHAPTER 1 SEMESTER V - ROLE OF PEADIATRIC NURSE.pdfSachin Sharma
Pediatric nurses play a vital role in the health and well-being of children. Their responsibilities are wide-ranging, and their objectives can be categorized into several key areas:
1. Direct Patient Care:
Objective: Provide comprehensive and compassionate care to infants, children, and adolescents in various healthcare settings (hospitals, clinics, etc.).
This includes tasks like:
Monitoring vital signs and physical condition.
Administering medications and treatments.
Performing procedures as directed by doctors.
Assisting with daily living activities (bathing, feeding).
Providing emotional support and pain management.
2. Health Promotion and Education:
Objective: Promote healthy behaviors and educate children, families, and communities about preventive healthcare.
This includes tasks like:
Administering vaccinations.
Providing education on nutrition, hygiene, and development.
Offering breastfeeding and childbirth support.
Counseling families on safety and injury prevention.
3. Collaboration and Advocacy:
Objective: Collaborate effectively with doctors, social workers, therapists, and other healthcare professionals to ensure coordinated care for children.
Objective: Advocate for the rights and best interests of their patients, especially when children cannot speak for themselves.
This includes tasks like:
Communicating effectively with healthcare teams.
Identifying and addressing potential risks to child welfare.
Educating families about their child's condition and treatment options.
4. Professional Development and Research:
Objective: Stay up-to-date on the latest advancements in pediatric healthcare through continuing education and research.
Objective: Contribute to improving the quality of care for children by participating in research initiatives.
This includes tasks like:
Attending workshops and conferences on pediatric nursing.
Participating in clinical trials related to child health.
Implementing evidence-based practices into their daily routines.
By fulfilling these objectives, pediatric nurses play a crucial role in ensuring the optimal health and well-being of children throughout all stages of their development.
Medical Technology Tackles New Health Care Demand - Research Report - March 2...pchutichetpong
M Capital Group (“MCG”) predicts that with, against, despite, and even without the global pandemic, the medical technology (MedTech) industry shows signs of continuous healthy growth, driven by smaller, faster, and cheaper devices, growing demand for home-based applications, technological innovation, strategic acquisitions, investments, and SPAC listings. MCG predicts that this should reflects itself in annual growth of over 6%, well beyond 2028.
According to Chris Mouchabhani, Managing Partner at M Capital Group, “Despite all economic scenarios that one may consider, beyond overall economic shocks, medical technology should remain one of the most promising and robust sectors over the short to medium term and well beyond 2028.”
There is a movement towards home-based care for the elderly, next generation scanning and MRI devices, wearable technology, artificial intelligence incorporation, and online connectivity. Experts also see a focus on predictive, preventive, personalized, participatory, and precision medicine, with rising levels of integration of home care and technological innovation.
The average cost of treatment has been rising across the board, creating additional financial burdens to governments, healthcare providers and insurance companies. According to MCG, cost-per-inpatient-stay in the United States alone rose on average annually by over 13% between 2014 to 2021, leading MedTech to focus research efforts on optimized medical equipment at lower price points, whilst emphasizing portability and ease of use. Namely, 46% of the 1,008 medical technology companies in the 2021 MedTech Innovator (“MTI”) database are focusing on prevention, wellness, detection, or diagnosis, signaling a clear push for preventive care to also tackle costs.
In addition, there has also been a lasting impact on consumer and medical demand for home care, supported by the pandemic. Lockdowns, closure of care facilities, and healthcare systems subjected to capacity pressure, accelerated demand away from traditional inpatient care. Now, outpatient care solutions are driving industry production, with nearly 70% of recent diagnostics start-up companies producing products in areas such as ambulatory clinics, at-home care, and self-administered diagnostics.
Psoriasis is an inflammatory skin disease that is associated with multiple comorbidities and substantially diminishes patients' quality of life. Topical therapies remain the cornerstone for treating mild psoriasis. Therapeutic advancements for moderate to severe plaque psoriasis include biologics that inhibit TNF-α, p40IL-12/23, IL-17, and p19IL-23, as well as an oral phosphodiesterase 4 inhibitor.
Damage to the spinal cord above the sacral region causes reflex incontinence. This condition causes loss of voluntary control of urination; but the micturition reflex pathway often remains intact, allowing urination to occur without sensation of the need to void
Overflow incontinence occurs when a bladder is overly full and bladder pressure exceeds sphincter pressure, resulting in involuntary leakage of urine. Causes often include head injury; spinal injury; multiple sclerosis; diabetes; trauma to the urinary system; and postanesthesia sedatives/hypnotics, tricyclics, and analgesia
Hyperreflexia, a life-threatening problem affecting heart rate and blood pressure, is caused by an overly full bladder. It is usually neurogenic in nature; however, it can be caused functionally by blockage
Diseases that cause irreversible damage to kidney tissue result in end-stage renal disease (ESRD).
uremic syndrome- An increase in nitrogenous wastes in the blood, marked fluid and electrolyte abnormalities, nausea, vomiting, headache, coma, and convulsions characterize this syndrome. As the uremic symptoms worsen, aggressive treatment is indicated for survival
Nocturia - awakening to void one or more times at night
An excessive output of urine is polyuria.
. A urine output that is decreased despite normal intake is called oliguria.
increased urine formation (diuresis)
a stoma (artificial opening)
Urinary Retention. Urinary retention is an accumulation of urine resulting from an inability of the bladder to empty properly.
URINE OVERFLOW- The sphincter temporarily opens to allow a small volume of urine (25 to 60 mL) to escape. With retention a patient may void small amounts of urine 2 or 3 times an hour with no real relief of discomfort or may continually dribble urine.
pain or burning during urination (dysuria) as urine flows over inflamed tissues
blood-tinged urine (hematuria)
Urinary incontinence is the involuntary leakage of urine that is sufficient to be a problem. It can be either temporary or permanent, continuous or intermittentUrinary elimination depends on the function of the kidneys, ureters, bladder, and urethra. Kidneys remove wastes from the blood to form urine. Ureters transport urine from the kidneys to the bladder. The bladder holds urine until the urge to urinate develops. Urine leaves the body through the urethra. All organs of the urinary system must be intact and functional for successful removal of urinary wastes. Intact efferent and afferent nerves from the bladder to the spinal cord and brain must be present
INTAKE AND OUTPUT OF URINE
Assess the patient’s average daily fluid intake.
at home, ask him or her to estimate his or her intake by showing a measurement on a commonly used glass or cup
Special receptacles (urimeters) that attach between indwelling catheters and drainage bags are a convenient means of accurately measuring urine volume. A urimeter holds 100 to 200 mL of urine. After measuring urine from a urimeter, drain the cylinder
What can we really do to give meaning and momentum to equality, diversity and...Rick Body
A copy of the slides for my talk on how we can meaningfully improve diversity and inclusion in emergency care research, at the Royal College of Emergency Medicine Research Engagement Day in May 2024.
Transforming Healthcare: The Rise of AI in Telemedicine24HrDOC
Explore the transformative impact of AI in telemedicine with 24HrDOC. Our AI-powered telehealth platform offers 24/7 access to certified doctors for affordable, personalized medical consultations. Revolutionize your healthcare experience today!
Antibiotic Stewardship by Anushri Srivastava.pptxAnushriSrivastav
Stewardship is the act of taking good care of something.
Antimicrobial stewardship is a coordinated program that promotes the appropriate use of antimicrobials (including antibiotics), improves patient outcomes, reduces microbial resistance, and decreases the spread of infections caused by multidrug-resistant organisms.
WHO launched the Global Antimicrobial Resistance and Use Surveillance System (GLASS) in 2015 to fill knowledge gaps and inform strategies at all levels.
ACCORDING TO apic.org,
Antimicrobial stewardship is a coordinated program that promotes the appropriate use of antimicrobials (including antibiotics), improves patient outcomes, reduces microbial resistance, and decreases the spread of infections caused by multidrug-resistant organisms.
ACCORDING TO pewtrusts.org,
Antibiotic stewardship refers to efforts in doctors’ offices, hospitals, long term care facilities, and other health care settings to ensure that antibiotics are used only when necessary and appropriate
According to WHO,
Antimicrobial stewardship is a systematic approach to educate and support health care professionals to follow evidence-based guidelines for prescribing and administering antimicrobials
In 1996, John McGowan and Dale Gerding first applied the term antimicrobial stewardship, where they suggested a causal association between antimicrobial agent use and resistance. They also focused on the urgency of large-scale controlled trials of antimicrobial-use regulation employing sophisticated epidemiologic methods, molecular typing, and precise resistance mechanism analysis.
Antimicrobial Stewardship(AMS) refers to the optimal selection, dosing, and duration of antimicrobial treatment resulting in the best clinical outcome with minimal side effects to the patients and minimal impact on subsequent resistance.
According to the 2019 report, in the US, more than 2.8 million antibiotic-resistant infections occur each year, and more than 35000 people die. In addition to this, it also mentioned that 223,900 cases of Clostridoides difficile occurred in 2017, of which 12800 people died. The report did not include viruses or parasites
VISION
Being proactive
Supporting optimal animal and human health
Exploring ways to reduce overall use of antimicrobials
Using the drugs that prevent and treat disease by killing microscopic organisms in a responsible way
GOAL
to prevent the generation and spread of antimicrobial resistance (AMR). Doing so will preserve the effectiveness of these drugs in animals and humans for years to come.
being to preserve human and animal health and the effectiveness of antimicrobial medications.
to implement a multidisciplinary approach in assembling a stewardship team to include an infectious disease physician, a clinical pharmacist with infectious diseases training, infection preventionist, and a close collaboration with the staff in the clinical microbiology laboratory
to prevent antimicrobial overuse, misuse and abuse.
to minimize the developme
QA Paediatric dentistry department, Hospital Melaka 2020Azreen Aj
QA study - To improve the 6th monthly recall rate post-comprehensive dental treatment under general anaesthesia in paediatric dentistry department, Hospital Melaka
CHAPTER 1 SEMESTER V PREVENTIVE-PEDIATRICS.pdfSachin Sharma
This content provides an overview of preventive pediatrics. It defines preventive pediatrics as preventing disease and promoting children's physical, mental, and social well-being to achieve positive health. It discusses antenatal, postnatal, and social preventive pediatrics. It also covers various child health programs like immunization, breastfeeding, ICDS, and the roles of organizations like WHO, UNICEF, and nurses in preventive pediatrics.
Global launch of the Healthy Ageing and Prevention Index 2nd wave – alongside...ILC- UK
The Healthy Ageing and Prevention Index is an online tool created by ILC that ranks countries on six metrics including, life span, health span, work span, income, environmental performance, and happiness. The Index helps us understand how well countries have adapted to longevity and inform decision makers on what must be done to maximise the economic benefits that comes with living well for longer.
Alongside the 77th World Health Assembly in Geneva on 28 May 2024, we launched the second version of our Index, allowing us to track progress and give new insights into what needs to be done to keep populations healthier for longer.
The speakers included:
Professor Orazio Schillaci, Minister of Health, Italy
Dr Hans Groth, Chairman of the Board, World Demographic & Ageing Forum
Professor Ilona Kickbusch, Founder and Chair, Global Health Centre, Geneva Graduate Institute and co-chair, World Health Summit Council
Dr Natasha Azzopardi Muscat, Director, Country Health Policies and Systems Division, World Health Organisation EURO
Dr Marta Lomazzi, Executive Manager, World Federation of Public Health Associations
Dr Shyam Bishen, Head, Centre for Health and Healthcare and Member of the Executive Committee, World Economic Forum
Dr Karin Tegmark Wisell, Director General, Public Health Agency of Sweden
R3 Stem Cells and Kidney Repair A New Horizon in Nephrology.pptxR3 Stem Cell
R3 Stem Cells and Kidney Repair: A New Horizon in Nephrology" explores groundbreaking advancements in the use of R3 stem cells for kidney disease treatment. This insightful piece delves into the potential of these cells to regenerate damaged kidney tissue, offering new hope for patients and reshaping the future of nephrology.
3. surveillance
systemin
hospitals?
Surveillance and Monitoring
A well-coordinated public health system for the detection and
control of emerging infections and antimicrobial resistance
requires an effective partnership among health care providers,
academic health centers, and the traditional public health system.
Effective infectious disease surveillance necessitates that
physicians send samples to competent laboratories for
confirmation of their diagnoses and that they report the findings
through the public health system.Yet, each aspect of infectious
disease surveillance is evolving independently and rapidly.
6. structure
What structure is used in hospitals?
Typically, hospitals are set up with a hierarchical and
divisional structure. This structure means various levels of
staff —ranging from high- to lower-level positions—are
responsible for others within their respective divisions.