Most state and local health departments are involved in on-going traditional disease surveillance and are beginning to access information through health information exchange with clinical partners. Biosurveillance initiatives offer the opportunity to leverage these existing initiatives while providing important data to protect community health. Building on these existing activities and relationships is key to the success of national initiatives such as BioSense Redesign and meaningful use of electronic health records as a component of the evolving nationwide health information network (NHIN). During this session/workshop, the National Association of County and City Health Officials (NACCHO) and the Association of State and Territorial Health Officials (ASTHO) in association with the Centers for Disease Control and Prevention will address discuss the BioSense redesign effort and provide opportunities for extended engagement of local and state health officials. This workshop encourages the participation of public health emergency responders, and local public health personnel involved in bio-surveillance for emergency preparedness and response within their jurisdictions.
Update to the International Meeting on Emerging Diseases and Surveillance (IMED) community on the latest activities for the BioSense Program redesign and public health syndromic surveillance (PHSS) meaningful use objective.
Update to the International Meeting on Emerging Diseases and Surveillance (IMED) community on the latest activities for the BioSense Program redesign and public health syndromic surveillance (PHSS) meaningful use objective.
OHP's Antonio Boone gave this presentation on different prevention continuum examples at the July meeting of the Prevention Committee of the Philadelphia EMA HIV Integrated Planning Council.
Edwina Rogers, executive director of Patient-Centered Primary Care Collaborative, began her presentation by highlighting the movement to advance medical homes.
With the U.S. being the number one in the world for the cost of healthcare and ranked number 37 in the quality category, something needs to change. Rogers discussed the broad stakeholder support and participation for the movement, as well as the incredible volunteer involvement. The four ‘centers’ include: the Center to Promote Public-Payer Implementation, the Center for Multi-Stakeholder Demonstration, the Center for eHealth Information Adoption and Exchange and the Center for Health Benefit Redesign and Implementation. Medical Homes will provide superb access to care, patient engagament in care, clinical information systems, care coordination, team care, patient feedback and publically available information.
Edwards explained that the Obama administration believes the medical homes concept is the best way to approach healthcare reform. The U.S. House of Representatives has showed great support for the movement and is helping develop and allocate funds for a five-year pilot program. She expressed her enthusiasm for the movement and her prediction that the medical home model is certainly the future of health care.
A complete version of Rogers’ presentation on the Patient-Centered Primary Care Collaborative is available online.
Prof Diana Schmidt's Talk at AIIMS on 8th January 2008Sukhdev Singh
Prof Diana Schmidt, School of Medical Informatics of Heidelberg University and Heilbronn University Germany, would be gave a talk on “Factors for success and failure of Telemedicine in Germany and USA” on 8th January 2008. She has permitted me to upload her presentation for the benefit of "Indian Association for Medical Informatics" members. It is being shared through IAMI Delhi Chapter Blog - http://iamidelhi.blogspot.com
Andrew Downes
HIQ Ltd New Zealand & Canterbury District Health Board
(Thursday, 2.30, Innovation in Practice 1)
In the days and weeks after the Canterbury earthquake, emergency response teams needed to be able to identify and support people who were at risk of adverse outcomes from a health perspective.
These people were not acutely injured during the earthquake itself. They were a potentially sizeable population of frail elderly living in the community in their own homes. They often have multiple co-morbidities and due to their low resilience could have ‘tipped over’ into needing acute care services very rapidly.
The implementation of interRAI, a national assessment tool being used by all District Health Boards allowed Canterbury DHB to receive prioritised lists from the national interRAI data warehouse, of ‘at risk’ elderly to assist the response teams to target their services.
In addition, subsequent to the earthquake a number of elderly people were moved from their homes and residential care facilities to other parts of the country. The national interRAI system was able to seamlessly move assessment and care plan records to the receiving District Health Board so that the receiving services could continue care appropriately.
Presentation by Prof. Fernando Martin-Sanchez at the "Carlton Connect" Interdisciplinary conference in Melbourne, 2012.
http://www.carltonconnect.com.au/Conference/Conference.html
June 23, 2017
At this event, leading health care executives, experts, policymakers, and other thought leaders gathered to conclude a project to develop a guiding framework for providing improved care for people with serious illness. Participants observed the final working session where distinguished panelists discussed innovations in program design and pathways for delivering high quality care to an aging population with chronic illnesses, especially those with declining function and complex care needs. The panelists engaged audience members in Q&A sessions during each panel, as well as at breakout sessions over lunch.
This project was funded by the Gordon & Betty Moore Foundation, and this convening was part of the Project on Advanced Care and Health Policy, a collaboration between the Coalition to Transform Advanced Care (C-TAC) and the Petrie-Flom Center for Health Law Policy, Biotechnology, and Bioethics at Harvard Law School.
Learn more on the website: http://petrieflom.law.harvard.edu/events/details/critical-pathways-to-improved-care-for-serious-illness-2
OHP's Antonio Boone gave this presentation on different prevention continuum examples at the July meeting of the Prevention Committee of the Philadelphia EMA HIV Integrated Planning Council.
Edwina Rogers, executive director of Patient-Centered Primary Care Collaborative, began her presentation by highlighting the movement to advance medical homes.
With the U.S. being the number one in the world for the cost of healthcare and ranked number 37 in the quality category, something needs to change. Rogers discussed the broad stakeholder support and participation for the movement, as well as the incredible volunteer involvement. The four ‘centers’ include: the Center to Promote Public-Payer Implementation, the Center for Multi-Stakeholder Demonstration, the Center for eHealth Information Adoption and Exchange and the Center for Health Benefit Redesign and Implementation. Medical Homes will provide superb access to care, patient engagament in care, clinical information systems, care coordination, team care, patient feedback and publically available information.
Edwards explained that the Obama administration believes the medical homes concept is the best way to approach healthcare reform. The U.S. House of Representatives has showed great support for the movement and is helping develop and allocate funds for a five-year pilot program. She expressed her enthusiasm for the movement and her prediction that the medical home model is certainly the future of health care.
A complete version of Rogers’ presentation on the Patient-Centered Primary Care Collaborative is available online.
Prof Diana Schmidt's Talk at AIIMS on 8th January 2008Sukhdev Singh
Prof Diana Schmidt, School of Medical Informatics of Heidelberg University and Heilbronn University Germany, would be gave a talk on “Factors for success and failure of Telemedicine in Germany and USA” on 8th January 2008. She has permitted me to upload her presentation for the benefit of "Indian Association for Medical Informatics" members. It is being shared through IAMI Delhi Chapter Blog - http://iamidelhi.blogspot.com
Andrew Downes
HIQ Ltd New Zealand & Canterbury District Health Board
(Thursday, 2.30, Innovation in Practice 1)
In the days and weeks after the Canterbury earthquake, emergency response teams needed to be able to identify and support people who were at risk of adverse outcomes from a health perspective.
These people were not acutely injured during the earthquake itself. They were a potentially sizeable population of frail elderly living in the community in their own homes. They often have multiple co-morbidities and due to their low resilience could have ‘tipped over’ into needing acute care services very rapidly.
The implementation of interRAI, a national assessment tool being used by all District Health Boards allowed Canterbury DHB to receive prioritised lists from the national interRAI data warehouse, of ‘at risk’ elderly to assist the response teams to target their services.
In addition, subsequent to the earthquake a number of elderly people were moved from their homes and residential care facilities to other parts of the country. The national interRAI system was able to seamlessly move assessment and care plan records to the receiving District Health Board so that the receiving services could continue care appropriately.
Presentation by Prof. Fernando Martin-Sanchez at the "Carlton Connect" Interdisciplinary conference in Melbourne, 2012.
http://www.carltonconnect.com.au/Conference/Conference.html
June 23, 2017
At this event, leading health care executives, experts, policymakers, and other thought leaders gathered to conclude a project to develop a guiding framework for providing improved care for people with serious illness. Participants observed the final working session where distinguished panelists discussed innovations in program design and pathways for delivering high quality care to an aging population with chronic illnesses, especially those with declining function and complex care needs. The panelists engaged audience members in Q&A sessions during each panel, as well as at breakout sessions over lunch.
This project was funded by the Gordon & Betty Moore Foundation, and this convening was part of the Project on Advanced Care and Health Policy, a collaboration between the Coalition to Transform Advanced Care (C-TAC) and the Petrie-Flom Center for Health Law Policy, Biotechnology, and Bioethics at Harvard Law School.
Learn more on the website: http://petrieflom.law.harvard.edu/events/details/critical-pathways-to-improved-care-for-serious-illness-2
A collaborative early warning and response space for latest health-related events in SE Asia: Mekong Basin Disease Surveillance (MBDS) Information Communication and Technology Forum, April 2nd–3rd, 2009, Mukdahan Province, Thailand
The Distribute project (www.isdsdistribute.org) brings together data on visits to emergency departments for influenza-like illness. These data are obtained from more than 35 state and local public health departments. During the H1N1 response, these data were used by state and local public health officials to understand progression of disease in neighboring regions, while the CDC used the system to provide a timely national picture.
Collaboration Technology for Public Health and Humanitarian Action and Global...Taha Kass-Hout, MD, MS
CDC Focus On Users: Underserved Populations March 2-3, 2009...
Co-sponsored CDC's National Center for Health Marketing, the U.S. Department of Health and Human Services, Georgia State University Department of Communication, the Pew Internet & American Life Project, and the National Public Health Information Coalition.
BioSense 2.0: Public Health Surveillance Through Collaboration. Monday Biosecurity Meeting: Crowd-Sourcing for Outbreak and Agent Identification, The American Association for the Advancement of Science (AAAS) Center for Science, Technology, and Security Policy. Presented by Taha Kass-Hout, MD, MS on November 21, 2011, Noon-1:30pm, Abelson/Haskins Room (2nd Floor, AAAS, 1200 New York Avenue, NW, Washington, DC 20005)
Invited lecture at Emory University Rollins School of Public Health. We presented our InSTEDD global early warning and response social platform; Evolve (http://instedd.org/evolve) with live demonstration.
Data Synchronization of Epi Info™ Using a Mesh4X Adapter: Presentation at the AMIA 2009 Annual Symposium-Demonstrations: Management of Populations.
Disclaimer: Any views or opinions expressed by the speaker do not necessarily represent the views of the CDC, HHS, or any other entity of the United States government. Furthermore, the use of any product names, trade names, images, or commercial sources is for identification purposes only, and does not imply endorsement or government sanction by the U.S. Department of Health and Human Services.
As mandated in the Public Health Security and Bioterrorism Preparedness and Response Act of 2002, CDC’s BioSense program was launched in 2003 with the aim of establishing an integrated system of nationwide public health surveillance for the early detection and prompt assessment of potential bioterrorism-related illness. Over the following several years, as awareness grew about the limits of syndromic and related automated surveillance systems, including BioSense, in providing early and accurate epidemic alerts, increased emphasis was placed on their use in providing timely situation awareness throughout the course of public health emergencies. In practice, a key application of these systems has been their use in tracking the course of seasonal influenza and, in 2009, the impact of the H1N1 influenza pandemic. While retaining the original purpose of BioSense of early event (or threat) detection and characterization, we believe the most efficient and effective approach to achieve the program’s long-term business case is to build on existing systems and programs. This will have additional public health benefits that can improve the nation’s health at all times, including: 1. Public health situation awareness, 2. Routine public health practice, 3. Improving health outcomes and public health; and 4. Monitoring healthcare quality
The aim of this presentation is to provide a brief overview of the SCRUM Agile Methodology, and to give organizations an idea of how SCRUM may affect the traditional development of requirements and deliverables.
Prospective anomaly detection methods such as the Modified EARS C2 are commonly adapted and used in public health syndromic surveillance systems. These methods however can produce an excessive false alert rate. We present a combined use of retrospective (e.g., Change Point Analysis (or CPA)) and prospective (e.g., C2) anomaly detection methods. This combined approach will help detect sudden aberrations in addition to subtle changes in local trends, help rule out alarm investigations, and assist with retrospective follow-ups. Examples on the utility of this combined approach in working collaboratively with the scientific community are applied to BioSense emergency departments' visits due to ILI. Methods, limitations, future work, and invitation to the scientific community to collaborate with us will be discussed at this talk.
Riff: A Social Network and Collaborative Platform for Public Health Disease S...Taha Kass-Hout, MD, MS
A hybrid (event-based and indicator-based) platform designed to streamline the collaboration between domain experts and machine learning algorithms for detection, prediction and response to health-related events (such as disease outbreaks or pandemics). The platform helps synthesize health-related event indicators from a wide variety of information sources (structured and unstructured) into a consolidated picture for analysis, maintenance of “community-wide coherence”, and collaboration processes. The platform offers features to detect anomalies, visualize clusters of potential events, predict the rate and spread of a disease outbreak and provide decision makers with tools, methodologies and processes to investigate the event.
Presenting precisionFDA for the first time at the Precision Medicine Coalition in Washington, DC on February 24, 2016
Any views or opinions expressed here do not necessarily represent the views of the FDA, HHS, or any other entity of the United States government. Furthermore, the use of any product names, trade names, images, or commercial sources is for identification purposes only, and does not imply endorsement or government sanction by the U.S. Department of Health and Human Services.
Data science and the use of big data in healthcare delivery could revolutionize the field by decreasing costs and vastly improving efficiency and outcomes. There is an abundance of healthcare data in Canada, but it is mostly siloed and difficult to access due to privacy and security challenges. This session will offer insights into best practices for healthcare analytics programs, as well as use cases that demonstrate the potential benefits that can be realized through this work.
Decision Support System Enabled Data Warehouses for Improving the Analytic Ca...MEASURE Evaluation
“Decision Support Systems for Improving the Analytic Capacity of HIS in Developing Countries”
Mike Edwards (MEASURE Evaluation), Presenter. Co-author: Theo Lippeveld (MEASURE Evaluation)
Presentation given
Digital Access to the World's Literature: A Blueprint to Integrate Evidence w...Elaine Martin
Lamar Soutter Library Director Elaine Martin and Consultant Karen Dahlen introduce a digital public health library initiative that supports national and state public health departments. Success stories and next steps to build a sustainable digital library model for all public health department is covered.
ODF III - 3.15.16 - Day Two Morning SessionsMichael Kerr
Slide presentations delivered during morning sessions of Day Two of the California Statewide Health and Human Services Open DataFest - March 14 - 15, 2016, Sacramento, CA
The Learning Health System: Thinking and Acting Across ScalesPhilip Payne
A Learning Health System (LHS) can be defined as an environment in which knowledge generation processes are embedded into daily clinical practice in order to continually improve the quality, safety, and outcomes of healthcare delivery. While still largely an aspirational goal, the promise of the LHS is a future in which every patient encounter is an opportunity to learn and improve that patient’s care, as well as the care their family and broader community receives. The foundation for building such an LHS can and should be the Electronic Health Record (EHR), which provides the basis for the comprehensive instrumentation and measurement of clinical phenotypes, as well as a means of delivering new evidence at the patient- and population levels. In this presentation, we will explore the ways in which such EHR-derived phenotypes can be combined with complementary data across a spectrum from biomolecules to population level trends, to both generate insights and deliver such knowledge in the right time, place, and format, ultimately improving clinical outcomes and value.
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.
CDS Innovations for Chronic Disease Managementdpugrad01
This is a presentation I gave at the 2007 AMIA Spring Congress. The presentation focuses on innovative projects in the AHRQ Health IT Portfolio focused on improving health care through the use of clinical decision support. In particular, these projects targeted chronically ill patients.
CORD Rare Drug Conference, June 8 - 9, 2022
Opportunities and Challenges for Data Management Real-World Data and Real-World Evidence
• Patient support programs: Sandra Anderson, Innomar Strategies
• AI for Data Management and Enhancement: Aaron Leibtag, Pentavere
• Patient Support and RWE: Laurie Lambert, CADTH
Similar to Updates on the BioSense Program Redesign: 2011 Public Health Preparedness Summit (20)
CPA method can be used as a tool to detect subtle changes in time-series data and determine the moving direction (ie, up, down, or stable) in; for example, disease trends, such as influenza-like illness, between change points.
an update to ISDS 9th Annual Conference...
As mandated in the Public Health Security and Bioterrorism Preparedness and Response Act of 2002, CDC's BioSense Program was launched in 2003 to establish an integrated national public health surveillance system for early detection and rapid assessment of potential bioterrorism-related illness: http://www.cdc.gov/biosense. Currently, the BioSense Program is undergoing redesign effort: http://biosenseredesign.org. The goal of the redesign is to be able to provide nationwide and regional situational awareness for all hazards health-related events (beyond bioterrorism) and to support national, state, and local responses to those events.
Disclaimer: Any views or opinions expressed here do not necessarily represent the views of the CDC, HHS, or any other entity of the United States government. Furthermore, the use of any product names, trade names, images, or commercial sources is for identification purposes only, and does not imply endorsement or government sanction by the U.S. Department of Health and Human Services.
BioSense is an all-hazards surveillance program for achieving near real-time national public health situation awareness and early detection. Prospective anomaly detection methods such as the Modified EARS C2 are commonly adapted and used in BioSense and other public health syndromic surveillance systems. These methods however can produce an excessive false alert rate. Analyses results will be presented on the combined use of retrospective (e.g., Change Point Analysis (or CPA)) and prospective (e.g., C2) anomaly detection methods. This combined approach will help detect sudden aberrations in addition to subtle changes in local trends, help rule out alarm investigations, and assist with retrospective follow-ups. Examples on the utility of this combined approach in working collaboratively with the scientific community are applied to BioSense emergency departments' visits due to ILI. Methods, limitations, future work, and invitation to the scientific community to collaborate with us will be discussed at this talk.
InSTEDD’s Mesh4x (http://code.google.com/p/mesh4x) allows for data synchronization among different data sources regardless of technology platform or network connectivity. Users can make their data available to all users in their distributed project team or across different jurisdictions. We describe the utility and architecture of Mesh4x to share data over the Internet cloud where users determine which subset of their data are exchanged. This technology raises the potential to share data (e.g., during outbreak investigation, disaster recovery or humanitarian relief efforts) where multiple people are then allowed access to see each other’s data, update the information as the event unfolds, and securely exchange data with one another.
A near-real time data exchange between multiple instances of Epi Info™ was enabled by configuring Mesh4x (http://code.google.com/p/mesh4x/) for Internet cloud (e.g., Amazon’s EC2, Google cloud/App Engine) and for peer-to-peer (over SMS) synchronization. A client-based tool can easily be used by an epidemiologist to build and configure a mesh environment, without requiring prior technical knowledge.
ICT Developments in Mobile Technology for Global Public Health: InSTEDD Colla...Taha Kass-Hout, MD, MS
ICT Developments in Mobile Technology for Global Public Health: InSTEDD Collaboration Tools. Mekong Basin Disease Surveillance (MBDS) Information Communication and Technology Forum, April 2nd–3rd, 2009, Mukdahan Province, Thailand
Biosurveillance: Machine Learning And Disease Surveillance by Kass-Hout Di TadaTaha Kass-Hout, MD, MS
The majority of the designs, analyses and evaluations of early detection (or biosurveillance) systems have been geared towards specific data sources and detection algorithms. Much less effort has been focused on how these systems will "interact" with humans. For example, consider multiple domain experts working at different levels across different organizations in an environment where numerous biosurveillance algorithms may provide contradictory interpretations of ongoing events. We present a framework that consists of a collection of autonomous, machine learning-enabled analytic processes, services and tools that; for the first time, will seamlessly integrate surveillance and response systems with human experts.
These lecture slides, by Dr Sidra Arshad, offer a quick overview of the physiological basis of a normal electrocardiogram.
Learning objectives:
1. Define an electrocardiogram (ECG) and electrocardiography
2. Describe how dipoles generated by the heart produce the waveforms of the ECG
3. Describe the components of a normal electrocardiogram of a typical bipolar lead (limb II)
4. Differentiate between intervals and segments
5. Enlist some common indications for obtaining an ECG
6. Describe the flow of current around the heart during the cardiac cycle
7. Discuss the placement and polarity of the leads of electrocardiograph
8. Describe the normal electrocardiograms recorded from the limb leads and explain the physiological basis of the different records that are obtained
9. Define mean electrical vector (axis) of the heart and give the normal range
10. Define the mean QRS vector
11. Describe the axes of leads (hexagonal reference system)
12. Comprehend the vectorial analysis of the normal ECG
13. Determine the mean electrical axis of the ventricular QRS and appreciate the mean axis deviation
14. Explain the concepts of current of injury, J point, and their significance
Study Resources:
1. Chapter 11, Guyton and Hall Textbook of Medical Physiology, 14th edition
2. Chapter 9, Human Physiology - From Cells to Systems, Lauralee Sherwood, 9th edition
3. Chapter 29, Ganong’s Review of Medical Physiology, 26th edition
4. Electrocardiogram, StatPearls - https://www.ncbi.nlm.nih.gov/books/NBK549803/
5. ECG in Medical Practice by ABM Abdullah, 4th edition
6. Chapter 3, Cardiology Explained, https://www.ncbi.nlm.nih.gov/books/NBK2214/
7. ECG Basics, http://www.nataliescasebook.com/tag/e-c-g-basics
Adv. biopharm. APPLICATION OF PHARMACOKINETICS : TARGETED DRUG DELIVERY SYSTEMSAkankshaAshtankar
MIP 201T & MPH 202T
ADVANCED BIOPHARMACEUTICS & PHARMACOKINETICS : UNIT 5
APPLICATION OF PHARMACOKINETICS : TARGETED DRUG DELIVERY SYSTEMS By - AKANKSHA ASHTANKAR
micro teaching on communication m.sc nursing.pdfAnurag Sharma
Microteaching is a unique model of practice teaching. It is a viable instrument for the. desired change in the teaching behavior or the behavior potential which, in specified types of real. classroom situations, tends to facilitate the achievement of specified types of objectives.
Flu Vaccine Alert in Bangalore Karnatakaaddon Scans
As flu season approaches, health officials in Bangalore, Karnataka, are urging residents to get their flu vaccinations. The seasonal flu, while common, can lead to severe health complications, particularly for vulnerable populations such as young children, the elderly, and those with underlying health conditions.
Dr. Vidisha Kumari, a leading epidemiologist in Bangalore, emphasizes the importance of getting vaccinated. "The flu vaccine is our best defense against the influenza virus. It not only protects individuals but also helps prevent the spread of the virus in our communities," he says.
This year, the flu season is expected to coincide with a potential increase in other respiratory illnesses. The Karnataka Health Department has launched an awareness campaign highlighting the significance of flu vaccinations. They have set up multiple vaccination centers across Bangalore, making it convenient for residents to receive their shots.
To encourage widespread vaccination, the government is also collaborating with local schools, workplaces, and community centers to facilitate vaccination drives. Special attention is being given to ensuring that the vaccine is accessible to all, including marginalized communities who may have limited access to healthcare.
Residents are reminded that the flu vaccine is safe and effective. Common side effects are mild and may include soreness at the injection site, mild fever, or muscle aches. These side effects are generally short-lived and far less severe than the flu itself.
Healthcare providers are also stressing the importance of continuing COVID-19 precautions. Wearing masks, practicing good hand hygiene, and maintaining social distancing are still crucial, especially in crowded places.
Protect yourself and your loved ones by getting vaccinated. Together, we can help keep Bangalore healthy and safe this flu season. For more information on vaccination centers and schedules, residents can visit the Karnataka Health Department’s official website or follow their social media pages.
Stay informed, stay safe, and get your flu shot today!
CDSCO and Phamacovigilance {Regulatory body in India}NEHA GUPTA
The Central Drugs Standard Control Organization (CDSCO) is India's national regulatory body for pharmaceuticals and medical devices. Operating under the Directorate General of Health Services, Ministry of Health & Family Welfare, Government of India, the CDSCO is responsible for approving new drugs, conducting clinical trials, setting standards for drugs, controlling the quality of imported drugs, and coordinating the activities of State Drug Control Organizations by providing expert advice.
Pharmacovigilance, on the other hand, is the science and activities related to the detection, assessment, understanding, and prevention of adverse effects or any other drug-related problems. The primary aim of pharmacovigilance is to ensure the safety and efficacy of medicines, thereby protecting public health.
In India, pharmacovigilance activities are monitored by the Pharmacovigilance Programme of India (PvPI), which works closely with CDSCO to collect, analyze, and act upon data regarding adverse drug reactions (ADRs). Together, they play a critical role in ensuring that the benefits of drugs outweigh their risks, maintaining high standards of patient safety, and promoting the rational use of medicines.
Title: Sense of Taste
Presenter: Dr. Faiza, Assistant Professor of Physiology
Qualifications:
MBBS (Best Graduate, AIMC Lahore)
FCPS Physiology
ICMT, CHPE, DHPE (STMU)
MPH (GC University, Faisalabad)
MBA (Virtual University of Pakistan)
Learning Objectives:
Describe the structure and function of taste buds.
Describe the relationship between the taste threshold and taste index of common substances.
Explain the chemical basis and signal transduction of taste perception for each type of primary taste sensation.
Recognize different abnormalities of taste perception and their causes.
Key Topics:
Significance of Taste Sensation:
Differentiation between pleasant and harmful food
Influence on behavior
Selection of food based on metabolic needs
Receptors of Taste:
Taste buds on the tongue
Influence of sense of smell, texture of food, and pain stimulation (e.g., by pepper)
Primary and Secondary Taste Sensations:
Primary taste sensations: Sweet, Sour, Salty, Bitter, Umami
Chemical basis and signal transduction mechanisms for each taste
Taste Threshold and Index:
Taste threshold values for Sweet (sucrose), Salty (NaCl), Sour (HCl), and Bitter (Quinine)
Taste index relationship: Inversely proportional to taste threshold
Taste Blindness:
Inability to taste certain substances, particularly thiourea compounds
Example: Phenylthiocarbamide
Structure and Function of Taste Buds:
Composition: Epithelial cells, Sustentacular/Supporting cells, Taste cells, Basal cells
Features: Taste pores, Taste hairs/microvilli, and Taste nerve fibers
Location of Taste Buds:
Found in papillae of the tongue (Fungiform, Circumvallate, Foliate)
Also present on the palate, tonsillar pillars, epiglottis, and proximal esophagus
Mechanism of Taste Stimulation:
Interaction of taste substances with receptors on microvilli
Signal transduction pathways for Umami, Sweet, Bitter, Sour, and Salty tastes
Taste Sensitivity and Adaptation:
Decrease in sensitivity with age
Rapid adaptation of taste sensation
Role of Saliva in Taste:
Dissolution of tastants to reach receptors
Washing away the stimulus
Taste Preferences and Aversions:
Mechanisms behind taste preference and aversion
Influence of receptors and neural pathways
Impact of Sensory Nerve Damage:
Degeneration of taste buds if the sensory nerve fiber is cut
Abnormalities of Taste Detection:
Conditions: Ageusia, Hypogeusia, Dysgeusia (parageusia)
Causes: Nerve damage, neurological disorders, infections, poor oral hygiene, adverse drug effects, deficiencies, aging, tobacco use, altered neurotransmitter levels
Neurotransmitters and Taste Threshold:
Effects of serotonin (5-HT) and norepinephrine (NE) on taste sensitivity
Supertasters:
25% of the population with heightened sensitivity to taste, especially bitterness
Increased number of fungiform papillae
Local Advanced Lung Cancer: Artificial Intelligence, Synergetics, Complex Sys...Oleg Kshivets
Overall life span (LS) was 1671.7±1721.6 days and cumulative 5YS reached 62.4%, 10 years – 50.4%, 20 years – 44.6%. 94 LCP lived more than 5 years without cancer (LS=2958.6±1723.6 days), 22 – more than 10 years (LS=5571±1841.8 days). 67 LCP died because of LC (LS=471.9±344 days). AT significantly improved 5YS (68% vs. 53.7%) (P=0.028 by log-rank test). Cox modeling displayed that 5YS of LCP significantly depended on: N0-N12, T3-4, blood cell circuit, cell ratio factors (ratio between cancer cells-CC and blood cells subpopulations), LC cell dynamics, recalcification time, heparin tolerance, prothrombin index, protein, AT, procedure type (P=0.000-0.031). Neural networks, genetic algorithm selection and bootstrap simulation revealed relationships between 5YS and N0-12 (rank=1), thrombocytes/CC (rank=2), segmented neutrophils/CC (3), eosinophils/CC (4), erythrocytes/CC (5), healthy cells/CC (6), lymphocytes/CC (7), stick neutrophils/CC (8), leucocytes/CC (9), monocytes/CC (10). Correct prediction of 5YS was 100% by neural networks computing (error=0.000; area under ROC curve=1.0).
Basavarajeeyam is a Sreshta Sangraha grantha (Compiled book ), written by Neelkanta kotturu Basavaraja Virachita. It contains 25 Prakaranas, First 24 Chapters related to Rogas& 25th to Rasadravyas.
Tom Selleck Health: A Comprehensive Look at the Iconic Actor’s Wellness Journeygreendigital
Tom Selleck, an enduring figure in Hollywood. has captivated audiences for decades with his rugged charm, iconic moustache. and memorable roles in television and film. From his breakout role as Thomas Magnum in Magnum P.I. to his current portrayal of Frank Reagan in Blue Bloods. Selleck's career has spanned over 50 years. But beyond his professional achievements. fans have often been curious about Tom Selleck Health. especially as he has aged in the public eye.
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Introduction
Many have been interested in Tom Selleck health. not only because of his enduring presence on screen but also because of the challenges. and lifestyle choices he has faced and made over the years. This article delves into the various aspects of Tom Selleck health. exploring his fitness regimen, diet, mental health. and the challenges he has encountered as he ages. We'll look at how he maintains his well-being. the health issues he has faced, and his approach to ageing .
Early Life and Career
Childhood and Athletic Beginnings
Tom Selleck was born on January 29, 1945, in Detroit, Michigan, and grew up in Sherman Oaks, California. From an early age, he was involved in sports, particularly basketball. which played a significant role in his physical development. His athletic pursuits continued into college. where he attended the University of Southern California (USC) on a basketball scholarship. This early involvement in sports laid a strong foundation for his physical health and disciplined lifestyle.
Transition to Acting
Selleck's transition from an athlete to an actor came with its physical demands. His first significant role in "Magnum P.I." required him to perform various stunts and maintain a fit appearance. This role, which he played from 1980 to 1988. necessitated a rigorous fitness routine to meet the show's demands. setting the stage for his long-term commitment to health and wellness.
Fitness Regimen
Workout Routine
Tom Selleck health and fitness regimen has evolved. adapting to his changing roles and age. During his "Magnum, P.I." days. Selleck's workouts were intense and focused on building and maintaining muscle mass. His routine included weightlifting, cardiovascular exercises. and specific training for the stunts he performed on the show.
Selleck adjusted his fitness routine as he aged to suit his body's needs. Today, his workouts focus on maintaining flexibility, strength, and cardiovascular health. He incorporates low-impact exercises such as swimming, walking, and light weightlifting. This balanced approach helps him stay fit without putting undue strain on his joints and muscles.
Importance of Flexibility and Mobility
In recent years, Selleck has emphasized the importance of flexibility and mobility in his fitness regimen. Understanding the natural decline in muscle mass and joint flexibility with age. he includes stretching and yoga in his routine. These practices help prevent injuries, improve posture, and maintain mobilit
Triangles of Neck and Clinical Correlation by Dr. RIG.pptx
Updates on the BioSense Program Redesign: 2011 Public Health Preparedness Summit
1. Updates on the BioSense Program Redesign
2011 Public Health Preparedness Summit
Session WS-16—Location International 10
Tuesday, February 22, 2011 1:30 PM- 5:30 PM
Atlanta, GA, USA – February 22-25, 2011
Taha A. Kass-Hout, MD, MS
Deputy Director for Information Science (Acting) and BioSense Program Manager
Division of Notifiable Diseases and Healthcare Information (DNDHI, Proposed)
Public Health Surveillance Program Office (PHSPO)
Office of Surveillance, Epidemiology, and Laboratory Services (OSELS)
Centers for Disease Control & Prevention (CDC)
Any views or opinions expressed here do not necessarily represent the views of the CDC, HHS, or any other entity of the United States
government. Furthermore, the use of any product names, trade names, images, or commercial sources is for identification purposes only,
and does not imply endorsement or government sanction by the U.S. Department of Health and Human Services.
Public Health Surveillance Program Office
Office of Surveillance, Epidemiology, and Laboratory Services
2. The Public Health Surveillance Challenge
Public Health Limitations of
Surveillance is a global traditional reporting
challenge systems
The importance of Hierarchical lines of
timely detection reporting
Variance across different
countries
Multitude of potential
data sources
Real-world lessons
from SARS and H1N1
3. Limitations of Current Approaches
Can’t mine
all possible sources
all data types
Delay required for searching,
curating and processing
Massive bandwidth and
processing requirements
Resource limited process
(machine and human)
Policies that hinder data
sharing
Little sharing of standards, “Federal agencies must focus on consolidating existing data
specifications, and lessons centers, reducing the need for infrastructure growth by
implementing a “Cloud First” policy for services, and
learned increasing their use of available cloud and shared services.”
Vivek Kundra, Fed CIO.
5. EHRs and Health Information Exchanges can
Improve Public Health Surveillance
Enhanced Situation Awareness
Syndromic surveillance exploits more elements from the EHR for earlier characterization
• can limit spread of outbreak or monitor severity of pandemics, and reduce morbidity and mortality
Automated collection and reporting encourages more care provider organizations to participate
Timely and More Complete Notifiable Disease Reporting
Studies have shown that electronically based reporting for STDs averages 7.9 days earlier than
spontaneous reporting, allowing:
• 52% increase in treating patients in 2 weeks
• 28% increase in reaching at risk subject by phone
Automation of this task is popular with healthcare provides since it relieves a perceived burden
Better Prevention and Surveillance or Chronic Conditions
Addresses major factors in rising healthcare costs
Data can be used for outcome-based incentives for best practices
Simple ABCDs (Aspirin Therapy, Blood Pressure Screening, Cholesterol Screening, Smoking Cessation, and
Diabetes) Interventions can reduce the number of avoidable deaths
• CDC’s Demonstrating the Preventive Care Value of HIEs (DPCVCHIE) project is using national standards and
capabilities to evaluate the effectiveness of ABCDs interventions
Consistency of Reporting | Reduced Latency | More Completeness of Reporting
6. BioSense Program
Civilian Hospitals
• ~640 facilities [~12% ED coverage in US, patchy geo
coverage] [Chief complaints: median 24-hour
latency, Diagnoses: median 6 days latency]
• 8 health department sending data from 482
hospitals
• 165 facilities reporting ED data directly to CDC
or a health department
Veterans Affairs and Department of Defense
• ~1400 facilities in 50 states, District of Columbia, and
Puerto Rico [final diagnosis ~2->5 days latency]
National Labs [LabCorp and Quest]
• 47 states, the District of Columbia, and Puerto Rico
[24-hour latency]
Hospital Labs
• 49 hospital labs in 17 states/jurisdictions [24-hours
latency]
Pharmacies
• 50,000 (27,000 Active) in 50 states [24-hour latency]
7. BioSense Program Redesign
Updated Vision: Beyond early detection Beyond syndromic
The goal of the redesign effort is to be able to provide
Nationwide and regional Situation Awareness for all hazards health-related
events (beyond bioterrorism) and to support national, state, and local responses
to those events
Multiple uses to support your public health Situation Awareness; routine public
health practice; and improved health outcomes and public health
Our strategy is to increase BioSense Program participation and
utility and to support local and state jurisdictions’ health
monitoring infrastructure and workforce capacity
Requires collaboration with other CDC Programs and federal agencies
– 7 years of experience dealing with timely healthcare data (Outpatient, ED, Inpatient, Census,
Laboratory, Radiology, Pharmacy, etc.)
– Infrastructure reconfigured for high performance, scalability and Meaningful Use (MUse)
8. BioSense Program Redesign
A 3-Pronged Approach
Building Connecting Sharing
the Base the Dots Information
A User-Centered Approach
9. Technical Expert Panel (TEP)—Current Status
David Buckeridge Judy Murphy
McGill University Aurora Health System
Julia Gunn Marc Paladini
National Association of County NYC Department of Health
and City Health Officials and Mental Hygiene
(NACCHO) Tom Safranek, Lisa Ferland,
Jim Kirkwood Richard Hopkins
Association of State and Council of State and Territorial
Territorial Health Officers Epidemiologists (CSTE)
(ASTHO)
Walter G. Suarez
Denise Love Kaiser Permanente
National Association of Health
Data Organizations (NAHDO)
10. BioSense Program Redesign
Selected Collaborations
Gulf Oil Spill-associated surveillance
AL, FL, LA, MS, TX, NCEH, CDC EOC+
Dengue case detection
Dengue Branch, FL Dept of Health, VA
State-based asthma surveillance
AL Dept of Health, VA, DoD
Non-acute dental conditions
Division of Oral Health, NC DoH, NCDetect
Rabies post-exposure prophylaxis
Poxvirus & Rabies Branch
Influenza-like illness surveillance
Influenza Division
Contribution to Distribute
ISDS
MUse Workgroup
Enhanced analytics methods
https://sites.google.com/site/changepointanalysis
12. BioSense Program Redesign
Stakeholder Involvement
Seeking individuals from
professional
organizations to
participate in redesign
effort Coverage Map
Coordinating presence at
national conferences
Identifying individuals to Requirements Gathering
update the map on the
collaboration site
Disseminating redesign Community Forum
project information
through communication http://biosenseredesign.org
channels
13. Environmental Scan
The purpose of the environmental scan is to assess current best
practices in surveillance and extract from them requirements to
aid in the BioSense Redesign
Note: The map has been initially populated with public health
jurisdictions' self-reported data obtained through Distribute
14. Key Sources of Information
Published literature
BioSense evaluations and roundtables
Surveys from our partner organizations
User requirement gathering sessions
Site profiles from the Distribute Project
Database of frequently used syndromic surveillance
systems
Collaboration Web Site Coverage Map
15. BioSense Redesign Coverage Map
Data fields selected from Distribute Site Profiles include:
Type of jurisdiction (i.e., state, county, city)
Surveillance system(s) used by site
Total number of emergency care and urgent care facilities in
the jurisdiction, including pediatric facilities
Number of reporting emergency care and urgent care facilities,
including pediatric facilities
Estimated population coverage
Approximate number of emergency department (ED) visits
captured
16. BioSense Redesign Coverage Map
Contributing BioSense facilities
925 VA hospitals
362 U.S. Dept. of Defense healthcare facilities
661 Private hospitals and hospital systems
2,780 National laboratories
49,365 Pharmacies
17. Populating the Coverage Map: Methods
Identifying Editors
Historic partnership with BioSense or CDC
Newsletter, website announcements (CSTE, ASTHO,
NACCHO, ISDS)
Volunteers from Collaboration Site
18. Coverage Map Editors
18 editors, representing 15 jurisdictions
Arizona ▪ New York City
Cook County, IL ▪ New York State
Florida ▪ Philadelphia, PA
Georgia ▪ San Diego County, CA
Iowa ▪ Utah
Maryland ▪ Virginia
North Dakota ▪ Wyoming
New Hampshire
22. Percentage of Systems (other than BioSense)
Used (n=27)
ESSENCE, RODS
Orion
3% 3%
ESSENCE, Other
ESSENCE, EARS, SAS 3%
3%
EARS, Orion, Other
3% ESSENCE
23%
AEGIS
SAS 3%
3%
EARS, Other
3%
RODS
8%
Other
EARS 15%
8%
SAS, Other
HMS
11%
11%
24. BioSense Program Redesign
Stakeholder Involvement
One-on-One
User Sessions
Data sharing policies, memorandums of
Graphs and charts, maps, understanding, contracts, and/or formal
aggregate data, detailed-level Data validation agreements between jurisdictions
data, and tabulated data
Group User Webinars
Sessions
BIOSENSE REDESIGN
USER REQUIREMENTS
-BioSense program Data for an event
Canned vs. customized
-BioSense system vs.
reports routine surveillance
Skilled workers: data analysis,
interpretation and reporting,
and technical support Data views within and across
jurisdictions
Collaboration
Web Site
Feedback Forums
25. Online Public Health Situation Awareness (PHSA)
Feedback Forums to Date
*Respondents
PHSA Feedback
Forums Dates Local State National Hospital Reg. HIE Unknown Total
PHSA Post 1 10/29/10 5 3 1 0 0 2 11
8 7 0 0 2 2 19
PHSA Post 2 11/02/10
PHSA Post 3 11/12/10 12 13 0 1 0 3 29
PHSA Post 4 11/24/10 11 8 0 0 0 0 20
PHSA Post 5 12/20/10 12 11 1 1 0 0 25
PHSA Post 6 01/28/11 6 15 0 1 0 0 22
Total 54 57 2 2 2 7 124
Source: Feedback Forum Posts 1-5, Available under “Your Requirements” at: https://sites.google.com/site/biosenseredesign
Total Number of Respondents = 124; September 1 – February 9, 2010
26. Online Public Health Situation Awareness
(PHSA) Feedback Forums to Date
*Does not exclude returning jurisdictions.
27. Online Public Health Situation Awareness
(PHSA) Feedback Forums to Date
A majority of stakeholders (86% from Post 3 as of January 2011)
feel that there is value in viewing a regional or national view to
achieve public health situation awareness.
A large number of jurisdictions (73% from Post 2 as of November
2010) have echoed that a regional and national view to obtain public
health situation awareness is strengthened in the presence of
policies, memorandums of understanding (MOUs), contracts, or
formal agreements for data sharing.
28. Online Public Health Situation Awareness
(PHSA) Feedback Forums to Date
The following data sources were predominantly ranked as “very
important” by most state and local jurisdictions for routine
monitoring/surveillance (Post 5 as of January 11, 2011):
Reportable disease data by 88.9% of state and 81.8% of local
jurisdictions participating in the post.
Lab results data by 66.7% of state and 81.8% of local jurisdictions that
participated in the post.
Syndromic surveillance data by 66.7% of state and 72.7% of local
jurisdictions participating in the post.
Clinical data by 54.5% of local jurisdictions participating in the post.
Communicable disease data by 63.6% of local jurisdictions
participating in the post.
29. Sample of Current Findings
The following data sources were predominantly ranked as “very
important” by most state and local jurisdictions for surveillance
during an event (Post 5 as of January 11, 2011):
Syndromic surveillance data by 88.9% of state and 54.5% of local
jurisdictions participating in the post.
Communicable disease data by 88.9% of state and 54.5% of local
jurisdictions participating in the post.
Inpatient data by 55.6% of state and 54.5% of local jurisdictions that
participated in the post.
Reportable disease data by 77.8% of state and 72.7% of local
jurisdictions participating in the post.
Lab results data by 77.8% of state and 63.6% of local jurisdictions that
participated in the post.
Clinical data by 54.5% of local jurisdictions participating in the post.
30. Online Public Health Situation Awareness
(PHSA) Feedback Forums to Date
Preferred data views for routine surveillance by state and local jurisdictions responding to Post 3 as of February 9, 2011
31. Online Public Health Situation Awareness
(PHSA) Feedback Forums to Date
Preferred data views during an event by state and local jurisdictions responding to Post 3 as of February 9, 2011
32. Online Public Health Situation Awareness
(PHSA) Feedback Forums to Date
Training needs and IT infrastructure issues from Post 4 respondents as of January 11, 2011
33. HDs Readiness for SS MUse
Many State or Community Health Agencies are not
yet prepared to receive the new wave of EHR data
According to TFAH, ASTHO and BioSense Program redesign
ASTHO’s MUSe Readiness Survey, # of States and Territories Responding = 35
34. Core Processes and EHR Reqs for PH SS
Data Sources Data on emergency
department (ED) and urgent care (UC)
patient visits captured by health information
system and sent to a public health authority
defines the scope of this recommendation
Surveillance Goal Assessment of
community and population health for all
hazards defines the scope of this
recommendation
Message and Vocabulary Standards
Standards that support current and
continued PHSS improvements, while
maintaining consistency with those
standards required by the CMS EHR
Reimbursement Program define the scope
of this recommendation
ISDS MUse Workgroup: http://syndromic.org/projects/meaningful-use
35. Core Processes and EHR Reqs for PH SS:
Consensus-Driven Development
ISDS MUse Workgroup informed 41 stakeholders commented; ~ 20%
early iterations. Stakeholder input corporations or professional
validated, refined and better organizations
contextualized the 4 EP or Hospital
recommendations. 9 Vendors
20 Public Health
2 Other
36. Core Processes and EHR Reqs for PH SS:
32 Recommended Elements
ISDS MUse Workgroup: http://syndromic.org/projects/meaningful-use
37. Core Processes and EHR Reqs for PH SS:
32 Recommended Elements
ISDS MUse Workgroup: http://syndromic.org/projects/meaningful-use
38. Core Processes and EHR Reqs for PH SS:
32 Recommended Elements
ISDS MUse Workgroup: http://syndromic.org/projects/meaningful-use
39. Acknowledgements
US CDC TEP Members
James Buehler*, Samuel
Groseclose*, Laura Conn*, Seth David Buckeridge*, Julia Gunn,
Foldy*, Nedra Garrett* Jim Kirkwood, Denise Love, Judy
Murphy, Marc Paladini, Tom
Safranek, Lisa Ferland, Richard
RTI International
Hopkins, Walter Suarez
Barbara Massoudi*, Lucia Rojas-
Smith, S. Cornelia Kaydos-
Daniels, Annette Casoglos, Rita
Sembajwe, Dean Jackman, Ross ISDS
Loomis, Alan O'Connor, Taya Charlie Ishikawa*, Anne Gifford,
McMillan, Amanda Flynn, Tonya
Farris, Alison Banger, Robert Rachel Viola, Emily Cain
Furberg
Epidemico
John Brownstein*, Clark Freifeld,
Deanna Aho, Nabarun Dasgupta,
Susan Aman, Katelynn O'Brien * Co-authors
40. Thank You!
BioSense Redesign ISDS MUse Workgroup
http://biosenseredesign.org http://syndromic.org/projects/meaningful-use
biosense.redesign2010 AT gmail DOT com
Any views or opinions expressed here do not necessarily represent the views of the CDC, HHS, or any other entity of the United States
government. Furthermore, the use of any product names, trade names, images, or commercial sources is for identification purposes only,
and does not imply endorsement or government sanction by the U.S. Department of Health and Human Services.