This document discusses successfully incorporating social media in drug safety strategies. It covers the history of social media and issues with applying traditional pharmacovigilance concepts. The current system was built for sparse data but we now have abundant data online. Implications include that the regulatory framework is unsuitable for the digital era. Solutions proposed include reconstructing the field from new fundamentals and focusing on where data comes from rather than traditional concepts like serious vs. nonserious adverse events. Designating social media data as a public good and allowing search/matching of potential adverse events is suggested.
3 Round Stones at the New England Health Datapalooza Oct 3, 20123 Round Stones
3 Round Stones' co-founder Bernadette Hyland discusses a new mobile application that uses federal open government data about weather and healthcare to improve management of chronic health conditions including asthma and COPD.
3 Round Stones at the New England Health Datapalooza Oct 3, 20123 Round Stones
3 Round Stones' co-founder Bernadette Hyland discusses a new mobile application that uses federal open government data about weather and healthcare to improve management of chronic health conditions including asthma and COPD.
Should radiologists use messaging services like WhatsApp for professional purposes? Is this compliant with GDPR and HIPAA? What solutions are available?
Artificial Intelligence and Machine Learning are transforming the work of human labor. Healthcare professionals will see their work transformed and augmented with this technology, but the manner in which these changes will occur is nuanced. In this presentation, I will explore the manner in which the labor of healthcare will be transformed, review evidence to support this prediction, and remark on the changes already underway.
The COVID19 Pandemic moved us a decade ahead in telemedicine. Primary and urgent care is being transformed with changes in consumer and patient expectations, improvements in telemedicine and monitoring technology, and consumer appetite for the consumption of these services. Medicare's recent favorable reimbursement has driven adoption with these drivers. Primary care, in particular, is being transformed. Care models are being reinvented and the practice of primary care is morphing from in - office episodic visits to multimodal in person, virtual, and continuous monitoring care.
Promise and peril: How artificial intelligence is transforming health careΔρ. Γιώργος K. Κασάπης
AI has enormous potential to improve the quality of health care, enable early diagnosis of diseases, and reduce costs. But if implemented incautiously, AI can exacerbate health disparities, endanger patient privacy, and perpetuate bias. STAT, with support from the Commonwealth Fund, explored these possibilities and pitfalls during the past year and a half, illuminating best practices while identifying concerns and regulatory gaps. This report includes many of the articles we published and summarizes our findings, as well as recommendations we heard from caregivers, health care executives, academic experts, patient advocates, and others.
Using analytics to mine large datasets for insights, commonly known as Big Data, is already transforming industries ranging from consumer goods to transportation. Certainly, the healthcare sector has the raw information to join this group. For example, Kaiser Permanente, a California-based health network, has an estimated 27 to 44 million gigabytes of potentially useful patient information. Expectations are that the U.S. healthcare sector will soon have a zettabyte of these data.
To learn more about the research programme, visit http://hospitalresilience.eiu.com/.
Presentation of Hexoskin Validation for KHealth's Dementia Project
The paper is available at: http://www.knoesis.org/library/resource.php?id=2155
Citation for the paper: T. Banerjee, P. Anantharam, W. L. Romine, L. Lawhorne, A. Sheth, 'Evaluating a Potential Commercial Tool for Healthcare Application for People with Dementia' in Proc. of the Intl Conf on Health Informatics and Medical Systems (HIMS), Las Vegas, July 27-30, 2015.
This is a case study prepared by Christina Lerouge for IBM Watson Health Data Movement for 2019. In this study, she covers four main points about IBM Watson: Dynamic Cancer-Care Solutions, Big Data Powerhouse, Data Into Reality: Oncology Landscape Video Review and Future Steps for IBM Watson.
Wide adoption of smartphones and availability of low-cost sensors has resulted in seamless and continuous monitoring of physiology, environment, and public health notifications. However, personalized digital health and patient empowerment can become a reality only if the complex multisensory and multimodal data is processed within the patient context. Contextual processing of patient data along with personalized medical knowledge can lead to actionable information for better and timely decisions. We present a system called kHealth capable of aggregating multisensory and multimodal data from sensors (passive sensing) and answers to questionnaire (active sensing) from patients with asthma. We present our preliminary data analysis comprising data collected from real patients highlighting the challenges in deploying such an application. The results show strong promise to derive actionable information using a combination of physiological indicators from active and passive sensors that can help doctors determine more precisely the cause, severity, and control level of asthma. Information synthesized from kHealth can be used to alert patients and caregivers for seeking timely clinical assistance to better manage asthma and improve their quality of life.
Paper: http://www.knoesis.org/library/resource.php?id=2153
Citation:
Pramod Anantharam, Tanvi Banerjee, Amit Sheth, Krishnaprasad Thirunarayan, Surendra Marupudi, Vaikunth Sridharan, Shalini G. Forbis, Knowledge-driven Personalized Contextual mHealth Service for Asthma Management in Children , IEEE 4th International Conference on Mobile Services, June 27 - July 2, 2015, New York, USA.
Should radiologists use messaging services like WhatsApp for professional purposes? Is this compliant with GDPR and HIPAA? What solutions are available?
Artificial Intelligence and Machine Learning are transforming the work of human labor. Healthcare professionals will see their work transformed and augmented with this technology, but the manner in which these changes will occur is nuanced. In this presentation, I will explore the manner in which the labor of healthcare will be transformed, review evidence to support this prediction, and remark on the changes already underway.
The COVID19 Pandemic moved us a decade ahead in telemedicine. Primary and urgent care is being transformed with changes in consumer and patient expectations, improvements in telemedicine and monitoring technology, and consumer appetite for the consumption of these services. Medicare's recent favorable reimbursement has driven adoption with these drivers. Primary care, in particular, is being transformed. Care models are being reinvented and the practice of primary care is morphing from in - office episodic visits to multimodal in person, virtual, and continuous monitoring care.
Promise and peril: How artificial intelligence is transforming health careΔρ. Γιώργος K. Κασάπης
AI has enormous potential to improve the quality of health care, enable early diagnosis of diseases, and reduce costs. But if implemented incautiously, AI can exacerbate health disparities, endanger patient privacy, and perpetuate bias. STAT, with support from the Commonwealth Fund, explored these possibilities and pitfalls during the past year and a half, illuminating best practices while identifying concerns and regulatory gaps. This report includes many of the articles we published and summarizes our findings, as well as recommendations we heard from caregivers, health care executives, academic experts, patient advocates, and others.
Using analytics to mine large datasets for insights, commonly known as Big Data, is already transforming industries ranging from consumer goods to transportation. Certainly, the healthcare sector has the raw information to join this group. For example, Kaiser Permanente, a California-based health network, has an estimated 27 to 44 million gigabytes of potentially useful patient information. Expectations are that the U.S. healthcare sector will soon have a zettabyte of these data.
To learn more about the research programme, visit http://hospitalresilience.eiu.com/.
Presentation of Hexoskin Validation for KHealth's Dementia Project
The paper is available at: http://www.knoesis.org/library/resource.php?id=2155
Citation for the paper: T. Banerjee, P. Anantharam, W. L. Romine, L. Lawhorne, A. Sheth, 'Evaluating a Potential Commercial Tool for Healthcare Application for People with Dementia' in Proc. of the Intl Conf on Health Informatics and Medical Systems (HIMS), Las Vegas, July 27-30, 2015.
This is a case study prepared by Christina Lerouge for IBM Watson Health Data Movement for 2019. In this study, she covers four main points about IBM Watson: Dynamic Cancer-Care Solutions, Big Data Powerhouse, Data Into Reality: Oncology Landscape Video Review and Future Steps for IBM Watson.
Wide adoption of smartphones and availability of low-cost sensors has resulted in seamless and continuous monitoring of physiology, environment, and public health notifications. However, personalized digital health and patient empowerment can become a reality only if the complex multisensory and multimodal data is processed within the patient context. Contextual processing of patient data along with personalized medical knowledge can lead to actionable information for better and timely decisions. We present a system called kHealth capable of aggregating multisensory and multimodal data from sensors (passive sensing) and answers to questionnaire (active sensing) from patients with asthma. We present our preliminary data analysis comprising data collected from real patients highlighting the challenges in deploying such an application. The results show strong promise to derive actionable information using a combination of physiological indicators from active and passive sensors that can help doctors determine more precisely the cause, severity, and control level of asthma. Information synthesized from kHealth can be used to alert patients and caregivers for seeking timely clinical assistance to better manage asthma and improve their quality of life.
Paper: http://www.knoesis.org/library/resource.php?id=2153
Citation:
Pramod Anantharam, Tanvi Banerjee, Amit Sheth, Krishnaprasad Thirunarayan, Surendra Marupudi, Vaikunth Sridharan, Shalini G. Forbis, Knowledge-driven Personalized Contextual mHealth Service for Asthma Management in Children , IEEE 4th International Conference on Mobile Services, June 27 - July 2, 2015, New York, USA.
Abstract:
Currently, there is a convergence of three key factors in the global landscape that creates an opportunity for the research community to make fundamental contributions to improving the quality of life of every single citizen. Conversely, failure to recognize and act on this phenomenon may have disastrous effects on multiple levels. The first factor is the unprecedented focus and willingness to invest in the healthcare industry. The second factor is the fact that the prime directive of the healthcare sector, i.e. nothing interferes with the delivery of care, has ramifications on every aspect of information technology used in this domain. The final factor is the recognition that patient empowerment and buy-in will be critical for the advance of health information technology. These factors highlight the fact that there are inherent assumptions in the existing access models that render them ineffective and not applicable for long term use in the healthcare field.
This talk will highlight all these issues and challenge the research community to delve more the industry-specific constraints that require further innovation in the space; possibly necessitating a re-examination of the core assumptions in the field.
Bio:
Tyrone Grandison is currently the Program Manager for Core Healthcare Services in the Healthcare Transformation group of the IBM Services Research organization (Hawthorne, New York). His immediate interests are in developing innovative solutions for ensuring patient privacy protection and for integrating information from multiple sources to get more complete views of patients to enable better decision making. Prior to this, Tyrone led the Intelligent Information Systems (Quest) team in the Computer Science department at the IBM Almaden Research Center (San Jose, California). The team pioneered research in Relational Database Privacy, Disclosure-Compliant Query Processing for RFID and Mobile Data Networks, Security Exception Handling in Healthcare Information Systems and Large Scale Text Analysis of Online Data. Tyrone is a Distinguished Engineer of the Association of Computing Machinery (ACM), Senior Member of the Institute of Electrical and Electronics Engineers (IEEE) and has been further recognized by the IEEE (2010 Technical Achievement Award), the National Society of Black Engineers (i.e. Pioneer of the Year 2009) and the Black Engineer of the Year Award Board (i.e. Modern Day Technology Leader 2009, Minority in Science Trailblazer 2010). Tyrone received his B.Sc. and M.Sc. degrees from the University of the West Indies, Jamaica in 1997 and 1998, respectively, and a Ph.D. degree from the Imperial College of Science, Technology and Medicine in the United Kingdom.
Presented: June 9, 2010
Whitepaper next generation_patient_safety_bertine_mc_kenna.01Ronan Martin
This is not your grandfather’s white paper. Dr. Bertine McKenna talks about healthcare cybersecurity from an executive perspective. Learn where to put your attention when it comes to tailoring a cybersecurity program.
Executives are missing an opportunity to ensure that we are ahead of this curve like every other curve we have had to be ahead of. Cybersecurity is not an IT issue – it is an operational issue focused on patient safety. It is a safety hazard requiring full attention and innovative solutions.
Capstone Project
Yaima Ortiz
IDS-4934
February 23, 2020
Comment by Microsoft Office User: Thank you for including a title page. Please double-check the format of the title page according to your APA Guide or the APA resources within the Keiser Online Writing Lab (OWL).
[Type here] [Type here] [Type here]Abstract TopicPrivacy- What medical information should be confidential? Who, if anybody, should have access to medical records? Thesis statement Comment by Microsoft Office User: A separate heading for the thesis statement is not necessary. Instead, just place the thesis as the last sentence of your introduction. The overuse of one's medical information, the security breaches in the medical industry, and protections/precaution one should take. Comment by Microsoft Office User: Be sure that the thesis statement is a complete sentence. In its current form, it is a fragment. It is excellent that you’ve included three supporting elements! Prior to the supporting elements, be sure to present your specific argumentative position. Rationale. Comment by Microsoft Office User: A rationale section was required for the proposal, but this should not be included with the final paper.
· Purpose- To express how identity thief has grown throughout the medical field.
· Background- Talk about statistics, laws, and precaution one can take to help shield their identity.
· Significance- I want to express how important this issue is that we ourselves might have gone through this are we know someone that has.
· Research methodology and description – Use internet and book sources Rough Draft ideas
That is just enough information to take someone’s identity for someone to make different accounts in that person particular name. How can we make this better? Sticker laws, tighter security on patient records portals. Comment by Microsoft Office User: This is the root of your position, so be sure to present it in the thesis statement.
Table of Contents
I. Title page
II. Abstract Page 1
III. Table of contents Page 2
IV. Introduction- HIPPA Law Page 3
V. How can we make the medical privacy policy better Page 4
VI. Statistics of medical breaches and Figure A Page 5
VII. Cyber Attacks- Attacks on Insulin Pumps Page 7
VIII. The common courtesy and rules of a breached Page 8
IX. Federal laws-precautions after a breach Page 9
X. Services one can use- example LastPass Page 10
XI. Penalties and jail time for hacking personal info Page 10
XII. Identity Laws and how can we make them better Page 11
XIII. Black Market and how much your information is worth .
Capstone Project
Yaima Ortiz
IDS-4934
February 23, 2020
Comment by Microsoft Office User: Thank you for including a title page. Please double-check the format of the title page according to your APA Guide or the APA resources within the Keiser Online Writing Lab (OWL).
[Type here] [Type here] [Type here]Abstract TopicPrivacy- What medical information should be confidential? Who, if anybody, should have access to medical records? Thesis statement Comment by Microsoft Office User: A separate heading for the thesis statement is not necessary. Instead, just place the thesis as the last sentence of your introduction. The overuse of one's medical information, the security breaches in the medical industry, and protections/precaution one should take. Comment by Microsoft Office User: Be sure that the thesis statement is a complete sentence. In its current form, it is a fragment. It is excellent that you’ve included three supporting elements! Prior to the supporting elements, be sure to present your specific argumentative position. Rationale. Comment by Microsoft Office User: A rationale section was required for the proposal, but this should not be included with the final paper.
· Purpose- To express how identity thief has grown throughout the medical field.
· Background- Talk about statistics, laws, and precaution one can take to help shield their identity.
· Significance- I want to express how important this issue is that we ourselves might have gone through this are we know someone that has.
· Research methodology and description – Use internet and book sources Rough Draft ideas
That is just enough information to take someone’s identity for someone to make different accounts in that person particular name. How can we make this better? Sticker laws, tighter security on patient records portals. Comment by Microsoft Office User: This is the root of your position, so be sure to present it in the thesis statement.
Table of Contents
I. Title page
II. Abstract Page 1
III. Table of contents Page 2
IV. Introduction- HIPPA Law Page 3
V. How can we make the medical privacy policy better Page 4
VI. Statistics of medical breaches and Figure A Page 5
VII. Cyber Attacks- Attacks on Insulin Pumps Page 7
VIII. The common courtesy and rules of a breached Page 8
IX. Federal laws-precautions after a breach Page 9
X. Services one can use- example LastPass Page 10
XI. Penalties and jail time for hacking personal info Page 10
XII. Identity Laws and how can we make them better Page 11
XIII. Black Market and how much your information is worth ...
Gain insights from data analytics and take action! Learn why everyone is making a big deal about big data in healthcare and how data analytics creates action.
TOPIC 2AnthonyThe movie that I watched for this week, Cons.docxturveycharlyn
TOPIC 2:
Anthony:
The movie that I watched for this week, Constantine, would almost certainly have been censored. This movie explores some of things in religion that most God fearing individuals would rather not. The idea that an evil would threaten the very existence of mankind. Not to mention the way some of the demons and victims were killed or eliminated. The Motion Picture Production Code of 1930 or The Hays Code, established guidelines for movie producers. The following is a short explanation of his code:
The Code was based on three general principles: No picture shall be produced that will lower the moral standards of those who see it. Hence the sympathy of the audience should never be thrown to the side of crime, wrongdoing, evil or sin. Correct standards of life, subject only to the requirements of drama and entertainment, shall be presented. Law, natural or human, shall not be ridiculed, nor shall sympathy be created for its violation. These were developed in a series of rules grouped under the self-explanatory headings Crimes Against The Law, Sex, Vulgarity, Obscenity, Profanity, Costume, Dances (i.e. suggestive movements), Religion, Locations (i.e. the bedroom), National Feelings, Titles and "Repellent Subjects" (extremely graphic violence) (BFI. n.d.)
Constantine (2005) http://www.imdb.com/title/tt0360486/
BFI Screenonline: The Hays Code. (n.d.). Retrieved January 24, 2017, from http://www.screenonline.org.uk/film/id/592022/
Robert:
I'm pretty sure that "The Evil Dead" would have received an "X" rating upon release had it come out 50 years ago since "The Excorcist" had that rating upon its release. There is a parallel between the two since in both cases audiences became more likely to laugh at the scarier scenes than to be frightened by them. Both also had religious imagery that would be offensive to alot of people. Times have really changed since the late 1960s concerning the ratings system; films like "Midnight Cowboy" and "A Clockwork Orange" that had X ratings at one point would be very comfortably in the "R" category today.
· Write a four to five (4-5) page paper in which you:
1. Identify and analyze what you believe to be the most significant new technology requirements for the health care industry. Indicate how providers should approach the implementation of this new technology requirement that you have identified. Provide support for the response.
2. Analyze the basic technology underlying health care information systems. Argue that the need for technological innovation and / or modification is most pressing. Support the argument with examples.
3. Recommend an innovation / modification, and explain how the recommendation could improve the overall level of health care in your own community. Include specific example(s) using local hospitals or other health care providers to support the response.
4. Suggest a key action that senior health care leadership could take in the community in which you live to push the b ...
Safety and Social Media Dia webinar 12 sep2013 Michael Ibara
This is a webinar version of a talk I originally gave at a DIA event in Wash DC. I've used different examples from my original talk but the theme is the same.
Slides from my talk on 16Jan at DIA PV meeting. Apologies if some don't make sense - they are written to accompany my talking and I haven't had time to revise them to stand on their own. If you want to know about any points I was making please drop me a line.
Recomendações da OMS sobre cuidados maternos e neonatais para uma experiência pós-natal positiva.
Em consonância com os ODS – Objetivos do Desenvolvimento Sustentável e a Estratégia Global para a Saúde das Mulheres, Crianças e Adolescentes, e aplicando uma abordagem baseada nos direitos humanos, os esforços de cuidados pós-natais devem expandir-se para além da cobertura e da simples sobrevivência, de modo a incluir cuidados de qualidade.
Estas diretrizes visam melhorar a qualidade dos cuidados pós-natais essenciais e de rotina prestados às mulheres e aos recém-nascidos, com o objetivo final de melhorar a saúde e o bem-estar materno e neonatal.
Uma “experiência pós-natal positiva” é um resultado importante para todas as mulheres que dão à luz e para os seus recém-nascidos, estabelecendo as bases para a melhoria da saúde e do bem-estar a curto e longo prazo. Uma experiência pós-natal positiva é definida como aquela em que as mulheres, pessoas que gestam, os recém-nascidos, os casais, os pais, os cuidadores e as famílias recebem informação consistente, garantia e apoio de profissionais de saúde motivados; e onde um sistema de saúde flexível e com recursos reconheça as necessidades das mulheres e dos bebês e respeite o seu contexto cultural.
Estas diretrizes consolidadas apresentam algumas recomendações novas e já bem fundamentadas sobre cuidados pós-natais de rotina para mulheres e neonatos que recebem cuidados no pós-parto em unidades de saúde ou na comunidade, independentemente dos recursos disponíveis.
É fornecido um conjunto abrangente de recomendações para cuidados durante o período puerperal, com ênfase nos cuidados essenciais que todas as mulheres e recém-nascidos devem receber, e com a devida atenção à qualidade dos cuidados; isto é, a entrega e a experiência do cuidado recebido. Estas diretrizes atualizam e ampliam as recomendações da OMS de 2014 sobre cuidados pós-natais da mãe e do recém-nascido e complementam as atuais diretrizes da OMS sobre a gestão de complicações pós-natais.
O estabelecimento da amamentação e o manejo das principais intercorrências é contemplada.
Recomendamos muito.
Vamos discutir essas recomendações no nosso curso de pós-graduação em Aleitamento no Instituto Ciclos.
Esta publicação só está disponível em inglês até o momento.
Prof. Marcus Renato de Carvalho
www.agostodourado.com
Lung Cancer: Artificial Intelligence, Synergetics, Complex System Analysis, S...Oleg Kshivets
RESULTS: Overall life span (LS) was 2252.1±1742.5 days and cumulative 5-year survival (5YS) reached 73.2%, 10 years – 64.8%, 20 years – 42.5%. 513 LCP lived more than 5 years (LS=3124.6±1525.6 days), 148 LCP – more than 10 years (LS=5054.4±1504.1 days).199 LCP died because of LC (LS=562.7±374.5 days). 5YS of LCP after bi/lobectomies was significantly superior in comparison with LCP after pneumonectomies (78.1% vs.63.7%, P=0.00001 by log-rank test). AT significantly improved 5YS (66.3% vs. 34.8%) (P=0.00000 by log-rank test) only for LCP with N1-2. Cox modeling displayed that 5YS of LCP significantly depended on: phase transition (PT) early-invasive LC in terms of synergetics, PT N0—N12, cell ratio factors (ratio between cancer cells- CC and blood cells subpopulations), G1-3, histology, glucose, AT, blood cell circuit, prothrombin index, heparin tolerance, recalcification time (P=0.000-0.038). Neural networks, genetic algorithm selection and bootstrap simulation revealed relationships between 5YS and PT early-invasive LC (rank=1), PT N0—N12 (rank=2), thrombocytes/CC (3), erythrocytes/CC (4), eosinophils/CC (5), healthy cells/CC (6), lymphocytes/CC (7), segmented neutrophils/CC (8), stick neutrophils/CC (9), monocytes/CC (10); leucocytes/CC (11). Correct prediction of 5YS was 100% by neural networks computing (area under ROC curve=1.0; error=0.0).
CONCLUSIONS: 5YS of LCP after radical procedures significantly depended on: 1) PT early-invasive cancer; 2) PT N0--N12; 3) cell ratio factors; 4) blood cell circuit; 5) biochemical factors; 6) hemostasis system; 7) AT; 8) LC characteristics; 9) LC cell dynamics; 10) surgery type: lobectomy/pneumonectomy; 11) anthropometric data. Optimal diagnosis and treatment strategies for LC are: 1) screening and early detection of LC; 2) availability of experienced thoracic surgeons because of complexity of radical procedures; 3) aggressive en block surgery and adequate lymph node dissection for completeness; 4) precise prediction; 5) adjuvant chemoimmunoradiotherapy for LCP with unfavorable prognosis.
Ethanol (CH3CH2OH), or beverage alcohol, is a two-carbon alcohol
that is rapidly distributed in the body and brain. Ethanol alters many
neurochemical systems and has rewarding and addictive properties. It
is the oldest recreational drug and likely contributes to more morbidity,
mortality, and public health costs than all illicit drugs combined. The
5th edition of the Diagnostic and Statistical Manual of Mental Disorders
(DSM-5) integrates alcohol abuse and alcohol dependence into a single
disorder called alcohol use disorder (AUD), with mild, moderate,
and severe subclassifications (American Psychiatric Association, 2013).
In the DSM-5, all types of substance abuse and dependence have been
combined into a single substance use disorder (SUD) on a continuum
from mild to severe. A diagnosis of AUD requires that at least two of
the 11 DSM-5 behaviors be present within a 12-month period (mild
AUD: 2–3 criteria; moderate AUD: 4–5 criteria; severe AUD: 6–11 criteria).
The four main behavioral effects of AUD are impaired control over
drinking, negative social consequences, risky use, and altered physiological
effects (tolerance, withdrawal). This chapter presents an overview
of the prevalence and harmful consequences of AUD in the U.S.,
the systemic nature of the disease, neurocircuitry and stages of AUD,
comorbidities, fetal alcohol spectrum disorders, genetic risk factors, and
pharmacotherapies for AUD.
Ozempic: Preoperative Management of Patients on GLP-1 Receptor Agonists Saeid Safari
Preoperative Management of Patients on GLP-1 Receptor Agonists like Ozempic and Semiglutide
ASA GUIDELINE
NYSORA Guideline
2 Case Reports of Gastric Ultrasound
Acute scrotum is a general term referring to an emergency condition affecting the contents or the wall of the scrotum.
There are a number of conditions that present acutely, predominantly with pain and/or swelling
A careful and detailed history and examination, and in some cases, investigations allow differentiation between these diagnoses. A prompt diagnosis is essential as the patient may require urgent surgical intervention
Testicular torsion refers to twisting of the spermatic cord, causing ischaemia of the testicle.
Testicular torsion results from inadequate fixation of the testis to the tunica vaginalis producing ischemia from reduced arterial inflow and venous outflow obstruction.
The prevalence of testicular torsion in adult patients hospitalized with acute scrotal pain is approximately 25 to 50 percent
TEST BANK for Operations Management, 14th Edition by William J. Stevenson, Ve...kevinkariuki227
TEST BANK for Operations Management, 14th Edition by William J. Stevenson, Verified Chapters 1 - 19, Complete Newest Version.pdf
TEST BANK for Operations Management, 14th Edition by William J. Stevenson, Verified Chapters 1 - 19, Complete Newest Version.pdf
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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!
ARTIFICIAL INTELLIGENCE IN HEALTHCARE.pdfAnujkumaranit
Artificial intelligence (AI) refers to the simulation of human intelligence processes by machines, especially computer systems. It encompasses tasks such as learning, reasoning, problem-solving, perception, and language understanding. AI technologies are revolutionizing various fields, from healthcare to finance, by enabling machines to perform tasks that typically require human intelligence.
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The prostate is an exocrine gland of the male mammalian reproductive system
It is a walnut-sized gland that forms part of the male reproductive system and is located in front of the rectum and just below the urinary bladder
Function is to store and secrete a clear, slightly alkaline fluid that constitutes 10-30% of the volume of the seminal fluid that along with the spermatozoa, constitutes semen
A healthy human prostate measures (4cm-vertical, by 3cm-horizontal, 2cm ant-post ).
It surrounds the urethra just below the urinary bladder. It has anterior, median, posterior and two lateral lobes
It’s work is regulated by androgens which are responsible for male sex characteristics
Generalised disease of the prostate due to hormonal derangement which leads to non malignant enlargement of the gland (increase in the number of epithelial cells and stromal tissue)to cause compression of the urethra leading to symptoms (LUTS
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The "New Drug Discovery and Development" process involves the identification, design, testing, and manufacturing of novel pharmaceutical compounds with the aim of introducing new and improved treatments for various medical conditions. This comprehensive endeavor encompasses various stages, including target identification, preclinical studies, clinical trials, regulatory approval, and post-market surveillance. It involves multidisciplinary collaboration among scientists, researchers, clinicians, regulatory experts, and pharmaceutical companies to bring innovative therapies to market and address unmet medical needs.
3. Please note: I am an employee of Pfizer. The statements or opinions expressed during this presentation are my own and do not necessarily represent those of Pfizer.
4. Michael A. Ibara mibara@mibara.com http://www.linkedin.com/in/ibara http://gplus.to/MikeIbara
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8. AGENDA History Issues Fundamental Causes Implications Solutions (long term / short term)
9. “Social Media” Web sites Social networking (e.g., Facebook, MySpace, LinkedIn, Google+) Wikis (Wikipedia) Blogs (web logs) Customer forums Micro Blogs (e.g., Twitter) Social bookmarking (e.g., digg) Location-based services (e.g., Foursquare) Virtual Worlds (e.g., Second Life) Patient Networking (e.g., PatientsLikeMe) by example…
17. Fallacy… Adverse event reports are not lilies in the field… there is not necessarily a finite number AE reports are the product of awareness and having a framework to observe them One of the determinants of the number of AE reports is how much news coverage the particular AE is getting So, the rate of AEs found by Nielson is not a rate set by nature, but a rate set by social interaction and awareness, and therefore subject to radical swings in frequency
18. A Rush to Judgment… Blindly applying the ‘four criteria’ points out a conceptual problem in the way social media is approached for safety What does it mean to have “an identifiable reporter”? In the ASTER Study, we identified reports by institution only, not individual reporter Another difficulty with the Nielson interpretation is understanding ‘triggers’ Triggers could be explicit (designed into a system) or implicit (occurrence of a news report) Triggers can greatly modify the reporting rate A third problem is assuming the workload is proportional to the final output, vs the raw output Nielson counted only “serious, unexpected, unlabeled’ AEs, but that’s not what companies will have to look at
22. Extrapolating Comparision Data of Forum Posts Forum Posts Reviewed: Randomly selected 500 posts from over 360,000 Identified 35 times the number found by Nielsen Online with identifiable patient, drug, reaction and reporter. Extrapolating for our current number of Forum Posts we calculate: 1,080,000 X .07 = 75,000 potential AE Patient Drug Reaction Reporter
23. Drug Safety Platform: Free-text data (excluding Forum) Free-text assessed for current clients: 9977 entries of free-text data For all drugs in our database 1500 entries contained an identifiable patient, drug, reaction and reporter Extrapolating to our current content: There are currently over 200,000 free-text entries (Bios, Comments, Advice/Tips) 200,000 x 0.15 = 30,000 potential AE Patient Drug Reaction Reporter
24. Total AERS Data Number of reports in FDA AERS by reporter since 2000
25. Potential AE Numbers from Forum Posts at 1 Million Members March 2009 June 2010 Number of Forum Posts
26. Proceedings of the 2010 Workshop on Biomedical Natural Language Processing ACL 2010, pages 117-125, Uppsala Sweden, 15 July 2010
27. “…we propose and evaluate automatically extracting relationships between drugs and adverse reactions in user posts to health-related social network websites.” Used DailyStrength health-related social network Automated web-crawler (‘scraped the data from the raw HTML) Lexicon created from four resources (UMLS, COSTART, SIDER, MedEffect) Annotated comments Used NLP techniques
28. Measuring the Coastline… “…the length of the coastline depends on the method used to measure it ‘Measuring’ adverse events in social media might be like measuring the coastline – the finer the instrument used, the greater the measurement… From Wikipedia: “Coastline paradox”
30. Issues Uncertainty… Who is responsible? What are they responsible for? What gets monitored? What is done with the findings? Workload More means more! Quality Is it any good? Improving public health Will this help us, provide any value?
33. There are established and evolving standards for exchanging safety informationOnce transaction costs drop, new business models will be possible The Hypothesis
34. ADE Spontaneous Triggered Electronic Reports David Westfall Bates, MD, M.Sc. Chief of the Division of General Internal Medicine at the Brigham and Women's Hospital; Professor of Medicine at Harvard Medical School and Professor of Health Policy and Management at the Harvard School of Public Health (Co-Director of the Program in Clinical Effectiveness) Jeffrey A. Linder, MD, MPH, FACP - PI of *ASTER Assistant Professor of Medicine, Harvard Medical School Division of General Medicine and Primary Care, Brigham and Women's Hospital, Boston MA
39. "Overall ASTER was well-accepted by the participating physicians, who felt it was unobtrusive and who saw the public health potential. “The clinicians, most of whom submitted no reports in the prior year - submitted over 200 reports in 3 months." Jeffrey A. Linder, MD, MPH, FACP Brigham and Women’s Hospital / Partners Healthcare PI on ASTER Study
40. Traditional ASTER Paper or separate site 36 minutes Several days or more 0 reports per physician 1 page of information At point of care 60 seconds 20 minutes (triaged) 5 reports per physician 7 pages of information
41. The underlying problem is that we’re using rules and regulations and concepts which were developed when data was hard to find… …but we’re trying to use them in a world that no longer matches the one in which they were developed
42. "A design representation suitable to a world in which the scarce factor is information may be exactly the wrong one for a world in which the scarce factor is attention.” Herbert Simon The Sciences of the Artificial p.144
43. We’ve got a safety (and regulatory) system built on sparse, hard to get safety data.But we’re entering a world of abundant, easy to get safety data.
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45. [further in…] “…the current pharmacovigilance legislative framework is unsuitable for today’s digital era…”
49. “Print newspapers like The New York Times have struggled with this whole internet thing, in which online users have come to expect free and immediate access to all kinds of information…”
51. “It was decided that an interpretation of copyright law enabling the music industry to sue for more money than they’ve made in the history of recorded music was necessarily wrong, and accordingly the damages were reduced to “a single statutory damage award from Defendants per work infringed, regardless of how many individual users directly infringed that particular work.”…”
55. …reconstruction of the field from new fundamentals… “The transition from a paradigm in crisis to a new one from which a new tradition of normal science can emerge is far from a cumulative process, one achieved by an articulation or extension of the old paradigm. Rather it is a reconstruction of the field from new fundamentals, a reconstruction that changes some of the field's most elementary theoretical generalizations as well as many of its paradigm methods and applications. During the transition period there will be a large but never complete overlap between the problems that can be solved by the old and by the new paradigm. But there will also be a decisive difference in the modes of solution. When the transition is complete, the profession will have changed its view of the field, its methods, and its goals.” Thomas Kuhn The Structure of Scientific Revolutions (1962), 84-5.
56. 4 elements vs 4 questions Identifiable Patient Identifiable Drug Identifiable Reaction Identifiable Reporter
57. What is safety data? Where does it come from? How do we get it? What can we do with it? Follow the data…
58. Cameron Neylon from the UK Science and Technology Facilities Council is quoted in the Nature article as saying that it makes much more sense to publish everything and filter after the fact. We are moving from a world of “filter then publish” to a world of “publish then filter.” [Italics mine]
59. We need to really educate ourselves on this if we hope to understand the implications What is it? Who uses it? How do they use it? What does it mean for safety?
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61. So what do we do? What we don’t do is take each case as a unique ‘one-off’ situation… Should we monitor/collect from web sites? Should we monitor/collect from Facebook? Should we monitor/collect from Twitter? O, that way madness lies…
62. I’m not saying we shouldn’t collect AEs in social media… I’m saying we need to call them something different than ‘serious’ or ‘nonserious’ AEs Maybe call them ‘Potential AE Lead Reports’ … This data clearly could be very valuable… …but this is where our old concepts clash with the new world
63. Even better.. Designate the information from social media as a ‘public good’ … Allow searching and matching of potential adverse event ‘pointers’ by pharma, academics, others, with no attempt to apply today’s regulations on reporting Reserve those regulations for specific programs a manufacturer runs on it’s drug … This could address not only collection issues, but data privacy issues as well
73. 1. Social Media is a symptom, not a cause, of what is wrong with safety 2. SM is both a new source of old data and a potential new source value 3. We are naturally predisposed to resist thinking this way - as is any established industry when it is threatened by a sudden shift in it's business model brought on by the digitization of its core business 4. We are now entering the era of abundant data in safety and it is bringing new business models 5. Solutions to this problem will require a paradigm shift which leads to a reconstruction of the field of pharmacovigilance from new fundamentals 6. This is creating a divide between those who see the world as it was and those who see the world as it could be 7. It is possible to begin working, however haltingly in this new paradigm for safety
74. Maynard Keynes (economist) said that … …“It is difficult to get a man to understand something when his salary depends on him not understanding it.”