Digital Health Disruption - Consumerization Transforms HealthcaremyNEXT
Digital Health is transforming healthcare as we know it. Sensors, mobile devices, online marketplaces, big data analytics, and internet tools & services empower consumers/patients to take their health into their own hands. Disruptive change has consumerized many products and industries in the past: photocopiers, PC, and refrigerators. The same is happening in healthcare now.
How Technology Encourages A Healthy Lifestylegrovedental
Technology has changed health care, putting the power to manage our health in our own hands to a degree never seen before. Here are some important facts about health and how technology encourages people to live healthier lifestyles.
Current Trends of Wearable Technology Devices in Clinical DiagnosticsAwladHussain3
Wearable devices are real-time, and noninvasive biosensors allow for the continuous monitoring of individuals and thus provide sufficient information for determining health status and even preliminary medical diagnosis. This presentation briefly introduces the latest advances in wearable healthcare systems, which can be used for real-time diagnosis and treatment of patients.
Telehealth Failures & Secrets to Success Conference 2017 by VSee
Speaker: Trey McMillian
Health & Life Sciences Lead of Dell
More info here: vsee.com/conference
Digital Health Disruption - Consumerization Transforms HealthcaremyNEXT
Digital Health is transforming healthcare as we know it. Sensors, mobile devices, online marketplaces, big data analytics, and internet tools & services empower consumers/patients to take their health into their own hands. Disruptive change has consumerized many products and industries in the past: photocopiers, PC, and refrigerators. The same is happening in healthcare now.
How Technology Encourages A Healthy Lifestylegrovedental
Technology has changed health care, putting the power to manage our health in our own hands to a degree never seen before. Here are some important facts about health and how technology encourages people to live healthier lifestyles.
Current Trends of Wearable Technology Devices in Clinical DiagnosticsAwladHussain3
Wearable devices are real-time, and noninvasive biosensors allow for the continuous monitoring of individuals and thus provide sufficient information for determining health status and even preliminary medical diagnosis. This presentation briefly introduces the latest advances in wearable healthcare systems, which can be used for real-time diagnosis and treatment of patients.
Telehealth Failures & Secrets to Success Conference 2017 by VSee
Speaker: Trey McMillian
Health & Life Sciences Lead of Dell
More info here: vsee.com/conference
Big Data, CEP and IoT : Redefining Healthcare Information Systems and AnalyticsTauseef Naquishbandi
Big Data is a term encompassing the use of techniques to capture, process, analyze and visualize potentially large datasets in a reasonable time frame not accessible to standard technologies.
It refers to the ability to crunch vast collections of information, analyze it instantly, and draw from it sometimes profoundly surprising conclusions
Big data solutions can help stakeholders personalize care, engage patients, reduce variability and costs, and improve quality of health delivery.
Big data analytics can also contribute to providing a rich context to shape many areas of health care like analysis of effects, side-effects of drugs, genome analysis etc.
PreScouter Internet of Medical Things: Industry Roundtable WebinarPreScouter
PreScouter, a company that provides corporate innovation leaders with the data and insights on which to base product development and R&D planning decisions, invites you to learn about how competitors are using Internet of Things (IoT) to disrupt the healthcare and pharmaceutical industries through an exclusive PreScouter webinar.
In this IoT webinar, PreScouter partners with guest speakers: Alok Tayi, CEO of TetraScience and Neil Schappert, CEO of PilotFish to specifically address how Internet of Things will impact pharmaceutical and healthcare through a series of questions.
The full IoT report, which is approximately 130 pages, includes an introduction to IoT, findings and adaptations. Moving from a broad overview of IoT, the report takes an in-depth look at Smart Homes, Smart Healthcare, Smart Retail and Smart Manufacturing with infographics. Each section has an overview and an in-depth analsysis on several key players in the IoT space.
The IoT report covers Smart Healthcare innovators including Microsoft, Samsung, Oracle, GE, PilotFish and Chrono Therapeutics among others.
In the Smart Manufacturing space, adaptations from Schneider Electric, Honeywell, and Siemens are covered.
In the Smart Homes space, Intel, Smartrac, and IBM are some of the key players covered.
Two of the IoT report authors presented in an IoT Webinar - Internet of Medical Things: Industry Roundtable with two CEOs from companies spotlighted in the report, TetraScience and PilotFish.
IoT has a total potential economic impact of $3.9 tillion to $11.1 trillion a year by 2025.
We understand that our clients need to become abreast of current trends and quickly discover the competitive landscape and the market potential of disruptive technologies.
Don't miss out on this special PreScouter IoT report. Email: aelliott@prescouter.com.
UBIQUITOUS HEALTHCARE MONITORING SYSTEM USING INTEGRATED TRIAXIAL ACCELEROMET...ijujournal
Ubiquitous healthcare has become one of the prominent areas of research inorder to address the
challenges encountered in healthcare environment. In contribution to this area, this study developed a
system prototype that recommends diagonostic services based on physiological data collected in real time
from a distant patient. The prototype uses WBAN body sensors to be worn by the individual and an android
smart phone as a personal server. Physiological data is collected and uploaded to a Medical Health
Server (MHS) via GPRS/internet to be analysed. Our implemented prototype monitors the activity, location
and physiological data such as SpO2 and Heart Rate (HR) of the elderly and patients in rehabilitation. The
uploaded information can be accessed in real time by medical practitioners through a web application.
Embedded systems in biomedical applicationsSeminar Links
Interface with the outside world -sensors, actuators and specialized communication links. Healthcare applications offer distinctive challenges for embedded systems over the next ten years.
Medical research is published with tremendous speed, making it nearly impossible for a doctor to keep up. Artificial Intelligence could be the answer. The growing amounts of available data enables the use of artificial intelligence in health care, as well as the increasingly sophisticated machine learning algorithms. Yet relatively little of these methods are used in health care.
Vator Splash Health, Wellness & Wearables 2017
A presentation on the Vator conference in San Francisco, CA. Perhaps one of my favorite conference series in health tech featuring many perspectives: tech, insurance, genomics, behavioral health, diagnostics, devices and more.
IWCMC Invited Talk for the E-5G PresentationJunaid Qadir
The unprecedented rapid adoption of mobile technology has motivated great interest in using mobile technology for health (mHealth). Bolstering the mHealth promise are three important trends: Firstly, big data—through which there has been unprecedented commoditization and opening up of data through the instrumentation of modern phones and environments (e.g., using the native sensors in mobile phones or using embedded devices in the so-called Internet of Things). This opens up the opportunity of collecting individual level ``small data’’ that can be used to provide personalized healthcare. Secondly, artificial intelligence (AI) and machine learning (ML) advances have democratized diagnostic capabilities to some extent and further significant improvement is expected. With advances in computational capabilities of mobile phones, and with resource augmentation from clouds, it will be possible to support data and computation intensive mHealth applications. Finally, high-performance communication (e.g., high throughput and low latency) capabilities can change the landscape of healthcare in terms of operational efficiency and accuracy and enable a range of telehealth services. In this talk, we will present the research agenda for bringing the 5G-Enabled Health Revolution.
SVHealth2.0 Wearables Symposium - August 2018Valencell, Inc
Join us for an insightful and provocative discussion on what it takes to build successful wearables. Our panelists represent three leaders whose technologies make it possible for our devices do all the cool stuff we love.
Karl Etzel, Business Development Consultant, Firstbeat: the leader in heart-rate algorithms. Got a Garmin that tells you when to train hard and when to recover? Thank Firstbeat! In understanding fitness metrics, VO2max is a great place to start. Learn more at https://www.firstbeat.com/en/blog/vo2mx-ultimate-resource/
Ryan Kraudel, VP Marketing, Valencell: creator of the world's most accurate biosensor systems, found in leading brands including Jabra, Bose and Suunto. Here's a great webinar on Valencell's work in the fast-growing hearable product category: https://valencell.com/blog/2018/06/making-biometrics-universal-in-hearables-and-hearing-health/
Yao Lu, Americas Sales Director, Ambiq Micro: their low-power semiconductors help companies like Spire, Huawei and Misfit (Fossil) reduce or eliminate the need for batteries, reduce overall system power and maximize industrial design flexibility. Here's a webinar from Ambiq CTO Scott Hanson on low power consumption and its impact on wearables and use cases: https://www.youtube.com/watch?v=B8pANa85WQM
Big Data Analytics for Smart Health CareEshan Bhuiyan
Healthcare big data refers to the vast quantities of data that is now available to healthcare providers.
As a response to the digitization of healthcare information and the rise of value-based care, the industry has taken advantage of big data and analytics to make strategic business decisions.
How can Digital Twins Drive Healthcare Transformation?Way2Smile
Digital Twins can now be the future of all businesses.
In this blog, we have discussed the role of Digital Twins in the Healthcare industry.
Learn More at - https://bit.ly/3n2CPn9.
artificial intelligence in health care. how it is different from traditional techniques. growth of artificial intelligence. how hospitals are taping artificial intelligence to mange corona virus. pros and cons of artificial intelligence.
Wearables in Healthcare: 2016 Prospects and the Money-Saving PatientEspeo Software
2016 looks to be a disruptive year for healthcare-focused wearables, especially those focused on preventive care or the management of chronic illnesses. This also translates into serious savings for the consumer... and profit for a wearable tech business.
Please cite as: Kamel Boulos MN. Creating self-aware and smart healthy cities. Invited plenary keynote address followed by sub-plenary round table at WHO 2014 International Healthy Cities Conference, Athens, Greece, 25 October 2014. http://www.healthycities2014.org/ehome/89657/192014/?&
PPT updated in May 2015.
Oct 2017: See also https://www.slideshare.net/sl.medic/how-the-internet-of-things-and-people-can-help-improve-our-health-wellbeing-and-quality-of-life
Outline
Value Based Healthcare System – How it is seen today
Healthcare Challenge & IoT as a Solution
IoT – Big Data Structure
Recent Trends in IoT Big Data Analytics
Challenges & Our Future
In-depth Knowledge of
What causes the most premature death?
Distribution of Disease burden from 1990 - 2020
Challenges in Healthcare
Future Healthcare
IoT Machine Talking to Machine
Prediction of IoT Usage
About PEPGRA HEALTHCARE,
A leading healthcare communication firm with years of excellence serving clients with a dedicated team of Medical, Regulatory and Scientific writers specialized in all therapeutic areas.
Contact us at :
UK: +44-1143520021
US/Canada: +1-972-502-9262
India: +91-8754446690
info@pepgra.com
www.pepgra.com
While E-health is based on networked I-C-T devices of the humans, operated by the humans for human healthcare and wellness, IOMT is a network of the ‘smart-devices’, operated by the devices for human healthcare and wellness. An estimated 160 million smart medical devices are expected to be connected in 2020. This number will increase exponentially. We need to be prepared for the disruptive influence of IOMT on the present-day healthcare paradigm. A major concern is the sheer magnitude of digital healthcare data generated by IOMT. Are we creating a "Digital Black hole" is a question for deep introspection.
Big Data, CEP and IoT : Redefining Healthcare Information Systems and AnalyticsTauseef Naquishbandi
Big Data is a term encompassing the use of techniques to capture, process, analyze and visualize potentially large datasets in a reasonable time frame not accessible to standard technologies.
It refers to the ability to crunch vast collections of information, analyze it instantly, and draw from it sometimes profoundly surprising conclusions
Big data solutions can help stakeholders personalize care, engage patients, reduce variability and costs, and improve quality of health delivery.
Big data analytics can also contribute to providing a rich context to shape many areas of health care like analysis of effects, side-effects of drugs, genome analysis etc.
PreScouter Internet of Medical Things: Industry Roundtable WebinarPreScouter
PreScouter, a company that provides corporate innovation leaders with the data and insights on which to base product development and R&D planning decisions, invites you to learn about how competitors are using Internet of Things (IoT) to disrupt the healthcare and pharmaceutical industries through an exclusive PreScouter webinar.
In this IoT webinar, PreScouter partners with guest speakers: Alok Tayi, CEO of TetraScience and Neil Schappert, CEO of PilotFish to specifically address how Internet of Things will impact pharmaceutical and healthcare through a series of questions.
The full IoT report, which is approximately 130 pages, includes an introduction to IoT, findings and adaptations. Moving from a broad overview of IoT, the report takes an in-depth look at Smart Homes, Smart Healthcare, Smart Retail and Smart Manufacturing with infographics. Each section has an overview and an in-depth analsysis on several key players in the IoT space.
The IoT report covers Smart Healthcare innovators including Microsoft, Samsung, Oracle, GE, PilotFish and Chrono Therapeutics among others.
In the Smart Manufacturing space, adaptations from Schneider Electric, Honeywell, and Siemens are covered.
In the Smart Homes space, Intel, Smartrac, and IBM are some of the key players covered.
Two of the IoT report authors presented in an IoT Webinar - Internet of Medical Things: Industry Roundtable with two CEOs from companies spotlighted in the report, TetraScience and PilotFish.
IoT has a total potential economic impact of $3.9 tillion to $11.1 trillion a year by 2025.
We understand that our clients need to become abreast of current trends and quickly discover the competitive landscape and the market potential of disruptive technologies.
Don't miss out on this special PreScouter IoT report. Email: aelliott@prescouter.com.
UBIQUITOUS HEALTHCARE MONITORING SYSTEM USING INTEGRATED TRIAXIAL ACCELEROMET...ijujournal
Ubiquitous healthcare has become one of the prominent areas of research inorder to address the
challenges encountered in healthcare environment. In contribution to this area, this study developed a
system prototype that recommends diagonostic services based on physiological data collected in real time
from a distant patient. The prototype uses WBAN body sensors to be worn by the individual and an android
smart phone as a personal server. Physiological data is collected and uploaded to a Medical Health
Server (MHS) via GPRS/internet to be analysed. Our implemented prototype monitors the activity, location
and physiological data such as SpO2 and Heart Rate (HR) of the elderly and patients in rehabilitation. The
uploaded information can be accessed in real time by medical practitioners through a web application.
Embedded systems in biomedical applicationsSeminar Links
Interface with the outside world -sensors, actuators and specialized communication links. Healthcare applications offer distinctive challenges for embedded systems over the next ten years.
Medical research is published with tremendous speed, making it nearly impossible for a doctor to keep up. Artificial Intelligence could be the answer. The growing amounts of available data enables the use of artificial intelligence in health care, as well as the increasingly sophisticated machine learning algorithms. Yet relatively little of these methods are used in health care.
Vator Splash Health, Wellness & Wearables 2017
A presentation on the Vator conference in San Francisco, CA. Perhaps one of my favorite conference series in health tech featuring many perspectives: tech, insurance, genomics, behavioral health, diagnostics, devices and more.
IWCMC Invited Talk for the E-5G PresentationJunaid Qadir
The unprecedented rapid adoption of mobile technology has motivated great interest in using mobile technology for health (mHealth). Bolstering the mHealth promise are three important trends: Firstly, big data—through which there has been unprecedented commoditization and opening up of data through the instrumentation of modern phones and environments (e.g., using the native sensors in mobile phones or using embedded devices in the so-called Internet of Things). This opens up the opportunity of collecting individual level ``small data’’ that can be used to provide personalized healthcare. Secondly, artificial intelligence (AI) and machine learning (ML) advances have democratized diagnostic capabilities to some extent and further significant improvement is expected. With advances in computational capabilities of mobile phones, and with resource augmentation from clouds, it will be possible to support data and computation intensive mHealth applications. Finally, high-performance communication (e.g., high throughput and low latency) capabilities can change the landscape of healthcare in terms of operational efficiency and accuracy and enable a range of telehealth services. In this talk, we will present the research agenda for bringing the 5G-Enabled Health Revolution.
SVHealth2.0 Wearables Symposium - August 2018Valencell, Inc
Join us for an insightful and provocative discussion on what it takes to build successful wearables. Our panelists represent three leaders whose technologies make it possible for our devices do all the cool stuff we love.
Karl Etzel, Business Development Consultant, Firstbeat: the leader in heart-rate algorithms. Got a Garmin that tells you when to train hard and when to recover? Thank Firstbeat! In understanding fitness metrics, VO2max is a great place to start. Learn more at https://www.firstbeat.com/en/blog/vo2mx-ultimate-resource/
Ryan Kraudel, VP Marketing, Valencell: creator of the world's most accurate biosensor systems, found in leading brands including Jabra, Bose and Suunto. Here's a great webinar on Valencell's work in the fast-growing hearable product category: https://valencell.com/blog/2018/06/making-biometrics-universal-in-hearables-and-hearing-health/
Yao Lu, Americas Sales Director, Ambiq Micro: their low-power semiconductors help companies like Spire, Huawei and Misfit (Fossil) reduce or eliminate the need for batteries, reduce overall system power and maximize industrial design flexibility. Here's a webinar from Ambiq CTO Scott Hanson on low power consumption and its impact on wearables and use cases: https://www.youtube.com/watch?v=B8pANa85WQM
Big Data Analytics for Smart Health CareEshan Bhuiyan
Healthcare big data refers to the vast quantities of data that is now available to healthcare providers.
As a response to the digitization of healthcare information and the rise of value-based care, the industry has taken advantage of big data and analytics to make strategic business decisions.
How can Digital Twins Drive Healthcare Transformation?Way2Smile
Digital Twins can now be the future of all businesses.
In this blog, we have discussed the role of Digital Twins in the Healthcare industry.
Learn More at - https://bit.ly/3n2CPn9.
artificial intelligence in health care. how it is different from traditional techniques. growth of artificial intelligence. how hospitals are taping artificial intelligence to mange corona virus. pros and cons of artificial intelligence.
Wearables in Healthcare: 2016 Prospects and the Money-Saving PatientEspeo Software
2016 looks to be a disruptive year for healthcare-focused wearables, especially those focused on preventive care or the management of chronic illnesses. This also translates into serious savings for the consumer... and profit for a wearable tech business.
Please cite as: Kamel Boulos MN. Creating self-aware and smart healthy cities. Invited plenary keynote address followed by sub-plenary round table at WHO 2014 International Healthy Cities Conference, Athens, Greece, 25 October 2014. http://www.healthycities2014.org/ehome/89657/192014/?&
PPT updated in May 2015.
Oct 2017: See also https://www.slideshare.net/sl.medic/how-the-internet-of-things-and-people-can-help-improve-our-health-wellbeing-and-quality-of-life
Outline
Value Based Healthcare System – How it is seen today
Healthcare Challenge & IoT as a Solution
IoT – Big Data Structure
Recent Trends in IoT Big Data Analytics
Challenges & Our Future
In-depth Knowledge of
What causes the most premature death?
Distribution of Disease burden from 1990 - 2020
Challenges in Healthcare
Future Healthcare
IoT Machine Talking to Machine
Prediction of IoT Usage
About PEPGRA HEALTHCARE,
A leading healthcare communication firm with years of excellence serving clients with a dedicated team of Medical, Regulatory and Scientific writers specialized in all therapeutic areas.
Contact us at :
UK: +44-1143520021
US/Canada: +1-972-502-9262
India: +91-8754446690
info@pepgra.com
www.pepgra.com
While E-health is based on networked I-C-T devices of the humans, operated by the humans for human healthcare and wellness, IOMT is a network of the ‘smart-devices’, operated by the devices for human healthcare and wellness. An estimated 160 million smart medical devices are expected to be connected in 2020. This number will increase exponentially. We need to be prepared for the disruptive influence of IOMT on the present-day healthcare paradigm. A major concern is the sheer magnitude of digital healthcare data generated by IOMT. Are we creating a "Digital Black hole" is a question for deep introspection.
Smart health monitoring system using IoT based smart fitness mirrorTELKOMNIKA JOURNAL
The smart fitness mirror proposed in this researchaims to provide the users with a platform to monitor their health and fitness status on a daily basis. The system employs a number of sensors to monitor the body mass index (BMI) and amount of body fat present in the user’s body. A weight scale consisting of four load sensors has been implemented to obtain the weight of the user whereas an ultrasonic sensor has been used to measure the height of the user. In addition, four electrode plates have been implemented on the foot weight scale to infuse a small amount of electric current (1mA) for BIA (bioelectrical impedance analysis) to estimate the amount of body fat percentage, lean body mass and total body water. An IR temperature sensor has been implemented in the research to measure the temperature of the user’s body from the forehead. Tests conducted on the system illustrate that it is able to accurately compute the body mass index and perform a bioelectrical impedance analysis on the user. The system is able to achieve a 92.5 % and 93.7 % accuracy in determining the body mass index and body fat percentage respectively. An accuracy of 95.3 % was observed in the determination of the body temperature.
Physical Cyber Social Computing: An early 21st century approach to Computing ...Amit Sheth
Keynote given at WiMS 2013 Conference, June 12-14 2013, Madrid, Spain. http://aida.ii.uam.es/wims13/keynotes.php
Video of this talk at: http://videolectures.net/wims2013_sheth_physical_cyber_social_computing/
More information at: More at: http://wiki.knoesis.org/index.php/PCS
and http://knoesis.org/projects/ssw/
Replacing earlier versions: http://www.slideshare.net/apsheth/physical-cyber-social-computing & http://www.slideshare.net/apsheth/semantics-empowered-physicalcybersocial-systems-for-earthcube
Abstract: The proper role of technology to improve human experience has been discussed by visionaries and scientists from the early days of computing and electronic communication. Technology now plays an increasingly important role in facilitating and improving personal and social activities and engagements, decision making, interaction with physical and social worlds, generating insights, and just about anything that an intelligent human seeks to do. I have used the term Computing for Human Experience (CHE) [1] to capture this essential role of technology in a human centric vision. CHE emphasizes the unobtrusive, supportive and assistive role of technology in improving human experience, so that technology “takes into account the human world and allows computers themselves to disappear in the background” (Mark Weiser [2]).
In this talk, I will portray physical-cyber-social (PCS) computing that takes ideas from, and goes significantly beyond, the current progress in cyber-physical systems, socio-technical systems and cyber-social systems to support CHE [3]. I will exemplify future PCS application scenarios in healthcare and traffic management that are supported by (a) a deeper and richer semantic interdependence and interplay between sensors and devices at physical layers, (b) rich technology mediated social interactions, and (c) the gathering and application of collective intelligence characterized by massive and contextually relevant background knowledge and advanced reasoning in order to bridge machine and human perceptions. I will share an example of PCS computing using semantic perception [4], which converts low-level, heterogeneous, multimodal and contextually relevant data into high-level abstractions that can provide insights and assist humans in making complex decisions. The key proposition is to explain that PCS computing will need to move away from traditional data processing to multi-tier computation along data-information-knowledge-wisdom dimension that supports reasoning to convert data into abstractions that humans are adept at using.
[1] A. Sheth, Computing for Human Experience
[2] M. Weiser, The Computer for 21st Century
[3] A. Sheth, Semantics empowered Cyber-Physical-Social Systems
[4] C. Henson, A. Sheth, K. Thirunarayan, Semantic Perception: Converting Sensory Observations to Abstractions
The term Internet of Things (Often abbreviated IOT) was coined more than ten years ago by industry researchers but has emerged into mainstream public view only more recently. Some claim the Internet of Things will completely transform how computer networks are used for the next 10 or 100 years, while others believe Internet Of Things is hype that won't much impact the daily lives of most people.
invited talk at iPHEM16, Innovation in Pre-hospital Emergency Medicine, Kent Surrey and Sussex Air Ambulance Trust, July 2016, Brighton, United Kingdom
Smart Data for you and me: Personalized and Actionable Physical Cyber Social ...Amit Sheth
Featured Keynote at Worldcomp'14, July 2014: http://www.world-academy-of-science.org/worldcomp14/ws/keynotes/keynote_sheth
Video of the talk at: http://youtu.be/2991W7OBLqU
Big Data has captured a lot of interest in industry, with the emphasis on the challenges of the four Vs of Big Data: Volume, Variety, Velocity, and Veracity, and their applications to drive value for businesses. Recently, there is rapid growth in situations where a big data challenge relates to making individually relevant decisions. A key example is human health, fitness, and well-being. Consider for instance, understanding the reasons for and avoiding an asthma attack based on Big Data in the form of personal health signals (e.g., physiological data measured by devices/sensors or Internet of Things around humans, on the humans, and inside/within the humans), public health signals (information coming from the healthcare system such as hospital admissions), and population health signals (such as Tweets by people related to asthma occurrences and allergens, Web services providing pollen and smog information, etc.). However, no individual has the ability to process all these data without the help of appropriate technology, and each human has different set of relevant data!
In this talk, I will forward the concept of Smart Data that is realized by extracting value from Big Data, to benefit not just large companies but each individual. If I am an asthma patient, for all the data relevant to me with the four V-challenges, what I care about is simply, “How is my current health, and what is the risk of having an asthma attack in my personal situation, especially if that risk has changed?” As I will show, Smart Data that gives such personalized and actionable information will need to utilize metadata, use domain specific knowledge, employ semantics and intelligent processing, and go beyond traditional reliance on ML and NLP.
For harnessing volume, I will discuss the concept of Semantic Perception, that is, how to convert massive amounts of data into information, meaning, and insight useful for human decision-making. For dealing with Variety, I will discuss experience in using agreement represented in the form of ontologies, domain models, or vocabularies, to support semantic interoperability and integration. For Velocity, I will discuss somewhat more recent work on Continuous Semantics, which seeks to use dynamically created models of new objects, concepts, and relationships, using them to better understand new cues in the data that capture rapidly evolving events and situations.
Smart Data applications in development at Kno.e.sis come from the domains of personalized health, energy, disaster response, and smart city. I will present examples from a couple of these.
Due to the situation caused by the Covid pandemic on a global scale , change management is highly crucial particularly in the tele medicine industry. As Information Systems form the backbone of health care delivery and connect the various devices that constitute the IoT of health care devices, constant adaptation is required in the same. Precisely accurate integration of change management and technology on a timely basis for maximum efficiency and sustainability. For the information systems forming the health care information systems, as constant and timely adaptation is required, the co-efficient of progressive adaptation does indicate to exist in the field of health care information systems which connect the various devices that form part of the Internet of Health Things
Telehealth Psychology Building Trust with Clients.pptxThe Harvest Clinic
Telehealth psychology is a digital approach that offers psychological services and mental health care to clients remotely, using technologies like video conferencing, phone calls, text messaging, and mobile apps for communication.
The dimensions of healthcare quality refer to various attributes or aspects that define the standard of healthcare services. These dimensions are used to evaluate, measure, and improve the quality of care provided to patients. A comprehensive understanding of these dimensions ensures that healthcare systems can address various aspects of patient care effectively and holistically. Dimensions of Healthcare Quality and Performance of care include the following; Appropriateness, Availability, Competence, Continuity, Effectiveness, Efficiency, Efficacy, Prevention, Respect and Care, Safety as well as Timeliness.
How many patients does case series should have In comparison to case reports.pdfpubrica101
Pubrica’s team of researchers and writers create scientific and medical research articles, which may be important resources for authors and practitioners. Pubrica medical writers assist you in creating and revising the introduction by alerting the reader to gaps in the chosen study subject. Our professionals understand the order in which the hypothesis topic is followed by the broad subject, the issue, and the backdrop.
https://pubrica.com/academy/case-study-or-series/how-many-patients-does-case-series-should-have-in-comparison-to-case-reports/
R3 Stem Cells and Kidney Repair A New Horizon in Nephrology.pptxR3 Stem Cell
R3 Stem Cells and Kidney Repair: A New Horizon in Nephrology" explores groundbreaking advancements in the use of R3 stem cells for kidney disease treatment. This insightful piece delves into the potential of these cells to regenerate damaged kidney tissue, offering new hope for patients and reshaping the future of nephrology.
QA Paediatric dentistry department, Hospital Melaka 2020Azreen Aj
QA study - To improve the 6th monthly recall rate post-comprehensive dental treatment under general anaesthesia in paediatric dentistry department, Hospital Melaka
CHAPTER 1 SEMESTER V PREVENTIVE-PEDIATRICS.pdfSachin Sharma
This content provides an overview of preventive pediatrics. It defines preventive pediatrics as preventing disease and promoting children's physical, mental, and social well-being to achieve positive health. It discusses antenatal, postnatal, and social preventive pediatrics. It also covers various child health programs like immunization, breastfeeding, ICDS, and the roles of organizations like WHO, UNICEF, and nurses in preventive pediatrics.
India Clinical Trials Market: Industry Size and Growth Trends [2030] Analyzed...Kumar Satyam
According to TechSci Research report, "India Clinical Trials Market- By Region, Competition, Forecast & Opportunities, 2030F," the India Clinical Trials Market was valued at USD 2.05 billion in 2024 and is projected to grow at a compound annual growth rate (CAGR) of 8.64% through 2030. The market is driven by a variety of factors, making India an attractive destination for pharmaceutical companies and researchers. India's vast and diverse patient population, cost-effective operational environment, and a large pool of skilled medical professionals contribute significantly to the market's growth. Additionally, increasing government support in streamlining regulations and the growing prevalence of lifestyle diseases further propel the clinical trials market.
Growing Prevalence of Lifestyle Diseases
The rising incidence of lifestyle diseases such as diabetes, cardiovascular diseases, and cancer is a major trend driving the clinical trials market in India. These conditions necessitate the development and testing of new treatment methods, creating a robust demand for clinical trials. The increasing burden of these diseases highlights the need for innovative therapies and underscores the importance of India as a key player in global clinical research.
Navigating Challenges: Mental Health, Legislation, and the Prison System in B...Guillermo Rivera
This conference will delve into the intricate intersections between mental health, legal frameworks, and the prison system in Bolivia. It aims to provide a comprehensive overview of the current challenges faced by mental health professionals working within the legislative and correctional landscapes. Topics of discussion will include the prevalence and impact of mental health issues among the incarcerated population, the effectiveness of existing mental health policies and legislation, and potential reforms to enhance the mental health support system within prisons.
Immunity to Veterinary parasitic infections power point presentation
Applied Computational Thinking - IoT in Healthcare
1. How creative computing aids in our health and well being
Computational Thinking
Mujitha Bai K B
WhizThinkers
https://whizthinkers.com
2. IoT Systems in Healthcare - Example
IoT System - Main Components
How to go about with an IoT System
(Systems Thinking & Modeling)
Applied Computational Thinking
3.
4. Vascular Anomalies - Challenges
- Even though there are initiatives to harness cutting-edge tech to push
forward global efforts to combat the disease using
- 3D Printing, Telemedicine, Artificial Intelligence (AI)
- The #1 challenge is
- How to collect data from patients and health professionals
- How to ensure latest findings are applied in practice
- Diagnosis
- Treatment
- And these are #1 challenges for all rare diseases
- Our focus of discussion today: How IoT systems can value-add in this?
This is a typical case where Computational Thinking needs to be
applied
5. Vascular Anomalies – Our Business Scenario
Bangalore
Urban
Hospital 1 Hospital 2 Hospital 3
Bangalore
Rural
Hoskote Shivgange
Kerala
Cities
Kerala
Rural
India
Hospitals
US
Hospitals
6. Internet of Things (IoT) Systems
1) Value-add brought in by IoT Systems to Vascular Anomalies
2) Main IoT Components
3) How to go about with an IoT system
11. Internet of Things (IoT) Systems
1) Value-add brought in by IoT Systems to Vascular Anomalies
2) Main IoT Components
3) How to go about with an IoT system
13. Internet of Things (IoT) Systems
1) Value-add brought in by IoT Systems to Vascular Anomalies
2) Main IoT Components
3) How to go about with an IoT system
14. Healthy behaviours platform for Maternal & Child Care
(using wearables, sensors, apps)
Main goals:
1) Facilitate behaviour change among target populations
2) Improve data collection for research in low-resource settings
Wearables / Sensors that will improve the health of mothers & new-borns by
1) Increasing uptake of healthy behaviours
2) Facilitating research on maternal & neonatal interventions in low-resource
settings.
Lack of awareness, motivation and unwillingness to change an old behaviour all
play a role in making health behaviour change a challenge.
16. Cyber Physical Systems (CPS)
- Cyber-physical systems combine digital and analog devices, interfaces,
networks, computer systems, and the like, with the natural and man-made
physical world.
Cyber Physical Systems – Examples (medical devices and systems)
- consumer electronics, toys and games,
- assisted living, traffic control/safety, automotive systems, process control,
- energy management and conservation, environmental control, aircraft control
- communications systems, instrumentation, critical infrastructure control
(electric power, water resources, and communications systems for example),
- robotics and distributed robotics (telepresence, telemedicine), defense
systems, manufacturing, and smart structures
https://www.coursera.org/learn/cyber-physical-systems-1
- The inherent interconnected and heterogeneous combination of behaviors in
these systems makes their analysis and design an exciting and challenging task.
17. Cyber Physical Modeling (CPS Modeling)
Model in Discrete-time &
Continuous-Time
Model Physical Components Model Cyber Components
MATLAB, Simulink
Finite State Machines,
Computations, Algorithms
Model Interfaces
Conversion,
Networks
Trajectories in CPS and Simulations:
Time Domains, Executions, and
Complete CPS Models
In CPS: Modeling and Simulation,
The main focus is on models of physical process, finite state machines,
computation, converters between physical and cyber variables, and digital
networks. https://www.coursera.org/learn/cyber-physical-systems-
1/home/welcome
18.
19. How computing aids in our health / well-being? (e.g. vascular anomalies)
20. Mujitha Bai K B
WhizThinkers
https://whizthinkers.com
THANK YOU!!