An implantable chip measures different blood levels and allows for constant glucose monitoring combined with an automatic insulin pump for a fully automated process. This would allow for real-time analysis by doctors to react to extreme measurements, reduce costs by eliminating waiting for lab results, and predict diseases by analyzing collected data. However, patients must trust the technology and there could be decreased contact with doctors as well as potential privacy issues.
Best Practices in Testing Biometric WearablesValencell, Inc
Wearables and hearables that measure biometric signals like heart rate are different from other devices, because they have to interact with the human body and every human body is different. This makes testing and validation of the devices an important part of the product development process.
Valencell operates one of the most experienced testing labs for biometric wearables and hearables, testing hundreds of devices over thousands of hours of testing every year.
Why Data Science Matters and How It Enables Impactful Health Outcomes - WebinarValencell, Inc
Valencell is transforming the science of wearable biometrics to facilitate impactful health outcomes and data science is a critical part of how we do that. The combination of accurate PPG sensor systems and the latest advancements in data science are opening up new possibilities for health and medical wearables to make an impact on people's lives. We have discovered it takes more than just sensor technology and in this webinar, Valencell offers an overview of the unique data capabilities being developed at our Biometric Data Science Lab. In this webinar, we share information on how we built our world-class data analytics team, the challenges we've overcome, and the data collection platforms and processes we employ.
Clinical Validation of Biometric Wearables and Applying Accurate Biometrics T...Valencell, Inc
The document discusses clinical validation of biometric wearables and applying accurate biometrics to provide compelling user experiences. It describes Valencell's approach to sensor validation through benchmarking, testing protocols, reference devices, and statistical analysis of accuracy. Several potential use cases are outlined such as quantifying activity intensity and volume, estimating stress levels, core temperature, and using biometrics for diet planning. The key takeaways are that accuracy is critical for user experience, validation requires planning and experience, and use cases should be simple and research-supported.
Building A Wearable With Heart Rate MonitoringValencell, Inc
This document discusses lessons learned from over 40 product development cycles for wearable biometrics. Key challenges in building accurate wearables include optical noise, skin tone variations, sensor location, and the "crossover problem". User experience is critical, as wearables need to help users accomplish goals through design, accuracy, comfort and more. Hardware considerations like sensor size, spacing, and geometry impact signal quality. Software using active signal characterization can provide motion-tolerant heart rate sensing. Extensive product testing is needed to validate multiple use cases and biometrics. Choosing the right manufacturer with relevant experience is also important for success.
Wearables in Clinical Trials: Opportunities and ChallengesValencell, Inc
Wearables are showing the potential to significantly impact the data available for clinical trials and medical researchers in numerous ways. While the quality and efficacy of these devices varies widely, the sensor technologies in these devices has evolved to meet the needs of many clinical research endeavors. Wearables also enable longitudinal biometric data sets that can provide unique insights into the long-term, real-world impact of pharmacotherapies and treatment protocols. There are also many challenges in using wearables in trials, including access to the raw data from wearables, validation of the data from wearable devices, processing and analysis of massive amounts of wearable data, and data security.
This webinar is an interactive discussion on the state of wearables in clinical trials and medical research, where the opportunities are and the challenges to be overcome.
An engineering perspective on biometric sensor integration in wearablesValencell, Inc
This document discusses challenges in integrating biometric sensors into wearable devices from engineering perspectives. It addresses questions product managers, mechanical engineers, and software engineers may have around sensor placement, form factor considerations, electrical design, software integration, testing, and validation. The document provides recommendations on sensor size and positioning, attachment methods, interface choices, power supplies, metrics, algorithms, and production testing protocols to optimize sensor performance for different use cases.
This document discusses how integrated computing and data can lead to improved healthcare outcomes through precision medicine. It provides examples of how large healthcare data sets from various sources can be analyzed using machine learning to better predict and treat conditions like heart failure. Penn Medicine is highlighted as successfully using patients' electronic medical records, medications, and other data to improve predictive models for re-hospitalization risk. The document also introduces the Trusted Analytics Platform and Intel's Collaborative Cancer Cloud initiative for enabling genomic research through distributed analytics. Finally, it describes how natural language processing of clinical records could help identify cancer patients for clinical trials more quickly.
An implantable chip measures different blood levels and allows for constant glucose monitoring combined with an automatic insulin pump for a fully automated process. This would allow for real-time analysis by doctors to react to extreme measurements, reduce costs by eliminating waiting for lab results, and predict diseases by analyzing collected data. However, patients must trust the technology and there could be decreased contact with doctors as well as potential privacy issues.
Best Practices in Testing Biometric WearablesValencell, Inc
Wearables and hearables that measure biometric signals like heart rate are different from other devices, because they have to interact with the human body and every human body is different. This makes testing and validation of the devices an important part of the product development process.
Valencell operates one of the most experienced testing labs for biometric wearables and hearables, testing hundreds of devices over thousands of hours of testing every year.
Why Data Science Matters and How It Enables Impactful Health Outcomes - WebinarValencell, Inc
Valencell is transforming the science of wearable biometrics to facilitate impactful health outcomes and data science is a critical part of how we do that. The combination of accurate PPG sensor systems and the latest advancements in data science are opening up new possibilities for health and medical wearables to make an impact on people's lives. We have discovered it takes more than just sensor technology and in this webinar, Valencell offers an overview of the unique data capabilities being developed at our Biometric Data Science Lab. In this webinar, we share information on how we built our world-class data analytics team, the challenges we've overcome, and the data collection platforms and processes we employ.
Clinical Validation of Biometric Wearables and Applying Accurate Biometrics T...Valencell, Inc
The document discusses clinical validation of biometric wearables and applying accurate biometrics to provide compelling user experiences. It describes Valencell's approach to sensor validation through benchmarking, testing protocols, reference devices, and statistical analysis of accuracy. Several potential use cases are outlined such as quantifying activity intensity and volume, estimating stress levels, core temperature, and using biometrics for diet planning. The key takeaways are that accuracy is critical for user experience, validation requires planning and experience, and use cases should be simple and research-supported.
Building A Wearable With Heart Rate MonitoringValencell, Inc
This document discusses lessons learned from over 40 product development cycles for wearable biometrics. Key challenges in building accurate wearables include optical noise, skin tone variations, sensor location, and the "crossover problem". User experience is critical, as wearables need to help users accomplish goals through design, accuracy, comfort and more. Hardware considerations like sensor size, spacing, and geometry impact signal quality. Software using active signal characterization can provide motion-tolerant heart rate sensing. Extensive product testing is needed to validate multiple use cases and biometrics. Choosing the right manufacturer with relevant experience is also important for success.
Wearables in Clinical Trials: Opportunities and ChallengesValencell, Inc
Wearables are showing the potential to significantly impact the data available for clinical trials and medical researchers in numerous ways. While the quality and efficacy of these devices varies widely, the sensor technologies in these devices has evolved to meet the needs of many clinical research endeavors. Wearables also enable longitudinal biometric data sets that can provide unique insights into the long-term, real-world impact of pharmacotherapies and treatment protocols. There are also many challenges in using wearables in trials, including access to the raw data from wearables, validation of the data from wearable devices, processing and analysis of massive amounts of wearable data, and data security.
This webinar is an interactive discussion on the state of wearables in clinical trials and medical research, where the opportunities are and the challenges to be overcome.
An engineering perspective on biometric sensor integration in wearablesValencell, Inc
This document discusses challenges in integrating biometric sensors into wearable devices from engineering perspectives. It addresses questions product managers, mechanical engineers, and software engineers may have around sensor placement, form factor considerations, electrical design, software integration, testing, and validation. The document provides recommendations on sensor size and positioning, attachment methods, interface choices, power supplies, metrics, algorithms, and production testing protocols to optimize sensor performance for different use cases.
This document discusses how integrated computing and data can lead to improved healthcare outcomes through precision medicine. It provides examples of how large healthcare data sets from various sources can be analyzed using machine learning to better predict and treat conditions like heart failure. Penn Medicine is highlighted as successfully using patients' electronic medical records, medications, and other data to improve predictive models for re-hospitalization risk. The document also introduces the Trusted Analytics Platform and Intel's Collaborative Cancer Cloud initiative for enabling genomic research through distributed analytics. Finally, it describes how natural language processing of clinical records could help identify cancer patients for clinical trials more quickly.
How will the Clinicians, Patients and Consumers of the Future ensure appropri...SharpBrains
*Dr. Eddie Martucci, Co-Founder and CEO of Akili Interactive Labs
*Dr. Anna Wexler, science writer, filmmaker and postdoc fellow at the Department of Medical Ethics and Health Policy at UPenn’s Perelman School of Medicine
*Dr. Olivier Oullier, President of EMOTIV
*Dr. Peter Reiner, Co-Founder of the National Core for Neuroethics at the University of British Columbia
*Chaired by: Dr. Alison Fenney, Executive Director of the Neurotechnology Industry Organization (NIO)
*Álvaro Fernández, CEO and Editor-in-Chief of SharpBrains
*Sarah Lenz Lock, Senior Vice President for Policy at AARP and Executive Director of the Global Council on Brain Health (GCBH)
*Dr. April Benasich, Director of the Baby Lab at the Rutgers Center for Molecular and Behavioral Neuroscience
*Chaired by: Dr. Cori Lathan, Co-Chair of the World Economic Forum’s Council on the Future of Human Enhancement
Slidedeck supporting session held during the 2017 SharpBrains Virtual Summit: Brain Health & Enhancement in the Digital Age (December 5-7th). Learn more at: https://sharpbrains.com/summit-2017/
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 has the potential to improve healthcare in several ways:
1) It is currently being used for predictive modeling, intelligent staffing, real-time alerts, and telemedicine.
2) In the future, it could help with outcome research, local quality improvement, developing disease models, and improving treatment pathways.
3) If hospitals collaborate and share big data, it may help with tasks like image recognition, risk stratification, disease prognosis, clinical event prediction, and defining new diagnostic and treatment strategies.
Medical technology is focused on providing cheaper, more efficient patient care. The article discusses 5 emerging medical technologies: 1) A skin scanner to reduce unnecessary melanoma biopsies, 2) An implant to treat headaches with nerve stimulation, 3) A non-invasive diabetes sensor, 4) Hospital robots to monitor patients autonomously, and 5) A heart valve replacement procedure using a catheter. While technology can make healthcare cheaper and more accurate, it also risks eliminating jobs and potential reliability issues.
Artificial intelligence-powered wearable solutions for senior care: A convers...Valencell, Inc
CarePredict, a Florida-based health tech startup, aims to improve seniors’ quality of life with machine learning-driven, actionable wearables insights for care staff and management to provide peace of mind for seniors and their loved ones. By identifying changes in the daily activities and behavior patterns of seniors, predictions can be made about declines in their health, thereby enabling early intervention and adopting a proactive and preventive approach to senior care.
In this webinar, CarePredict shares about their journey from initial concept through prototyping, use case development, business development, and addressing the crisis of a widening gap in the senior to caregiver ratio.
Utilizing wearable technology in remote patient monitoring with aging populat...Valencell, Inc
Most developed nations are experiencing a dramatic aging of the population, which is putting pressure our healthcare systems to provide care outside of medical facilities and driving opportunities for remote patient monitoring systems. In fact, 90% of family caregivers want a way to monitor their loved ones, receive alerts and be involved in their care. This webinar will discuss the trends driving remote patient monitoring today and how these systems are utilizing wearable technology to elevate the level of care possible outside of medical facilities. You won’t want to miss this webinar!
Cognitive Computing: Company presentation by Avner Halperin, Co-Founder & CEO of EarlySense at the NOAH Conference 2019 in Tel Aviv, Hangar 11, 10-11 April 2019.
DayOne Experts - Next generation clinical trialsDayOne
Event introduction slides by Thomas Brenzikofer.
Read the event report here:https://www.baselarea.swiss/baselarea-swiss/channels/innovation-report/2019/06/on-the-verge-of-being-born-next-generation-clinical-trials.html
Tomasz Sablinski, Founder and CEO of Transparency Life Sciences raised the crunch question of the evening: Which industry is lagging behind the most in terms of digitization? Right, it is the healthcare industry! But who would have expected the usual lamentation of why this is the case; blaming regulatory constraints, scarce innovation culture, or unachievable technology barriers proved wrong. The appetite for change and finding new ways of doing things was too strong among Basel’s Healthcare innovators at the DayOne Expert Session on “Next Generation Digital Trials”.
The idea of the event was to present a holistic view of the current standing in the digitizing clinical trials.
Future Diagnostics, In Vitro Diagnostiek "Bloedserieus"Health Valley
Future Diagnostics strives to become a leading developer of innovative diagnostic tests. It aims to be the preferred partner of top IVD companies for outsourced test development. The company was founded in 1997 and now has 60 employees working on 34 projects. It has two facilities and is certified under ISO and FDA quality standards. Future Diagnostics has experience developing assays for various analytes on automated platforms and is interested in point-of-care tests and new testing technologies.
Wireless healthcare: the next generationJeffrey Funk
The document discusses emerging technologies that enable the next generation of wireless healthcare, including diagnostics, treatment, monitoring and healthy lifestyle support. Key technologies discussed include capsule endoscopy, smart drug delivery systems, digital pill monitoring and mHealth. These technologies leverage advances in processing, sensors, batteries and biomarkers to improve healthcare outcomes while reducing costs.
Android evaluating data reliability an evidential answer with application to...ecway
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This document summarizes the potential applications and challenges of wireless healthcare technologies. It discusses how wireless devices can enable remote monitoring, diagnosis, and consultation. Some benefits include improved patient quality of life through mobility, reduced costs and wait times. However, challenges include technical issues like battery life, financial models, and patient concerns about privacy, accuracy and radiation exposure.
Best practices in using wearable biometric sensors to prove medical use casesValencell, Inc
The use of wearable devices in health and medical use cases is growing rapidly along with the number and capabilities of wearable devices. The sensor technology embedded in wearables today rivals the capabilities of regulatory-approved medical devices, and in many cases enables new and different use cases than we’ve seen possible before. This session will highlight the best practices we’ve seen emerging recently from real-world projects proving the efficacy of wearable devices in health and medical use cases in the areas of cardiovascular conditions, neurological disease, pain management, and other areas of interest. We’ll also explore the potential pitfalls to avoid and key things to consider when using wearables in proving out your medical use case.
The document discusses point-of-care medical diagnostics to improve healthcare outcomes. It notes that centralized medical testing has limitations like high costs and lack of infrastructure. To address this, portable diagnostic tests are needed that are faster, simpler, cheaper and can test for multiple conditions simultaneously. The document describes a microchip-based diagnostic device under development that uses microfluidics and optical detection techniques to provide sensitive, automated testing at the point-of-care to help diseases like HIV, TB and malaria which claim millions of lives annually.
State of Wearables Today - 2018 Consumer SurveyValencell, Inc
A new national survey released today on wearables revealed that actionable, accurate health insights from wearables will be increasingly important to the success of the industry and 63% of respondents have owned a wearable device at some point, up from 42% in 2016. The online survey polled 826 consumers from a wide range of U.S. regions, ages, and income levels on their experiences and preferences around wearables. The 2018 survey is a follow-up from the same survey conducted by Valencell in 2016.
What are biometric parameters and why do they matter? Valencell, Inc
Biometric parameters are characteristics of the vascular system and blood flow dynamics that can help define or classify the system's performance, status, or condition. Key biometric parameters extracted from photoplethysmography (PPG) signals include signal quality, normalized pulsatile amplitude related to blood volume and flow, non-pulsatile amplitude indicating breathing and cardiovascular health, and ambient light levels. These parameters enable new use cases for wearables in areas like pain management, pilot monitoring, and tracking blood pressure during exercise. Valencell's motion-tolerant extraction of biometric parameters from PPG signals allows their use in applications requiring activity.
Patient Centricity: EHR Pillars to Patient CentricityDayOne
AT the DayOne Experts - Next Generation Clinical Trials, Randy Ramin-Wright from Clinerion demonstrated how patient recruitment works in the digital age.
These slides use concepts from my (Jeff Funk) course entitled analyzing hi-tech opportunities to show how mobile devices are becoming more economically feasible for health care. Rapid improvements in electronics are enabling a wide variety of health-related attachments to become available for mobile phones. These attachments can analyze breath, blood oxygen levels, blood glucose, blood type, and urine and do ultrasounds. These advances will change the way health care is monitored and managed.
The document discusses how Birmingham Heartlands Hospital in the United Kingdom has implemented digital pathology solutions from Roche to improve workflows and collaboration. The hospital scans over 175,000 slides annually and pathologists can now access virtual slides instantly for consultations, tumor boards, and teaching. This streamlines processes and saves time compared to retrieving physical slides. The digital tools also enhance education and quality assurance.
Hypertension management will change more in the next 5 years than in the last...Valencell, Inc
Why will managing hypertension change more in the next 5 years than it has in the last 100?
There are several macro trends that are driving this change:
- Hypertension is a massive global health problem (over 1B people have high BP) and it is THE leading risk factor for the global burden of disease (its a comorbidity in every major chronic disease) - more of a risk factor than tobacco, obesity, poor diet, high blood glucose, etc. - according to the WHO.
- Sensor tech - there has been no meaningful innovation in BP sensors in over 100 years. The BP cuffs in use today are fundamentally the same as the first BP cuff that came to market in the early 1900's. That’s changing now with cuffless BP sensors that are being approved by regulatory bodies.
- Care delivery – healthcare "has left the building", moving out of the hospital, into the home and everyday life. This can be seen in the huge growth in remote patient monitoring, digital therapeutics, and digital health more broadly.
- Payer models – insurance coverage is moving from fee-for-service to value-based care that’s focused on prevention and monitoring. This is particularly important in hypertension management because high BP has no outward symptoms, making the frequency and ease of BP monitoring extremely important.
The document discusses how integrating the Internet of Things (IoT) into clinical trials can revolutionize medical research. IoT allows for real-time monitoring of patients through sensors and devices, improving data accuracy and patient engagement while also making trials more accessible and reducing costs. While data security, interoperability, and regulatory compliance present challenges, IoT is transforming clinical trials by streamlining processes and accelerating the development of new treatments.
Q&A: The Internet of Everything in Clinical TrialsCRF Health
The Internet of Everything (IoE) allows physical devices and sensors to measure and send data without human intervention, enabling its application to clinical trials. IoE can capture better quality data, lower patient burden by reducing site visits, and provide a more complete picture of health through continuously captured data. While IoE use in clinical trials is growing, wider adoption of consumer IoE devices requires more regulatory guidance. Data security, privacy, and the potential for placebo effects also need to be addressed. IoE may increase efficiency by reducing paper use and enabling streamlined, electronic data collection and analysis in real time.
How will the Clinicians, Patients and Consumers of the Future ensure appropri...SharpBrains
*Dr. Eddie Martucci, Co-Founder and CEO of Akili Interactive Labs
*Dr. Anna Wexler, science writer, filmmaker and postdoc fellow at the Department of Medical Ethics and Health Policy at UPenn’s Perelman School of Medicine
*Dr. Olivier Oullier, President of EMOTIV
*Dr. Peter Reiner, Co-Founder of the National Core for Neuroethics at the University of British Columbia
*Chaired by: Dr. Alison Fenney, Executive Director of the Neurotechnology Industry Organization (NIO)
*Álvaro Fernández, CEO and Editor-in-Chief of SharpBrains
*Sarah Lenz Lock, Senior Vice President for Policy at AARP and Executive Director of the Global Council on Brain Health (GCBH)
*Dr. April Benasich, Director of the Baby Lab at the Rutgers Center for Molecular and Behavioral Neuroscience
*Chaired by: Dr. Cori Lathan, Co-Chair of the World Economic Forum’s Council on the Future of Human Enhancement
Slidedeck supporting session held during the 2017 SharpBrains Virtual Summit: Brain Health & Enhancement in the Digital Age (December 5-7th). Learn more at: https://sharpbrains.com/summit-2017/
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 has the potential to improve healthcare in several ways:
1) It is currently being used for predictive modeling, intelligent staffing, real-time alerts, and telemedicine.
2) In the future, it could help with outcome research, local quality improvement, developing disease models, and improving treatment pathways.
3) If hospitals collaborate and share big data, it may help with tasks like image recognition, risk stratification, disease prognosis, clinical event prediction, and defining new diagnostic and treatment strategies.
Medical technology is focused on providing cheaper, more efficient patient care. The article discusses 5 emerging medical technologies: 1) A skin scanner to reduce unnecessary melanoma biopsies, 2) An implant to treat headaches with nerve stimulation, 3) A non-invasive diabetes sensor, 4) Hospital robots to monitor patients autonomously, and 5) A heart valve replacement procedure using a catheter. While technology can make healthcare cheaper and more accurate, it also risks eliminating jobs and potential reliability issues.
Artificial intelligence-powered wearable solutions for senior care: A convers...Valencell, Inc
CarePredict, a Florida-based health tech startup, aims to improve seniors’ quality of life with machine learning-driven, actionable wearables insights for care staff and management to provide peace of mind for seniors and their loved ones. By identifying changes in the daily activities and behavior patterns of seniors, predictions can be made about declines in their health, thereby enabling early intervention and adopting a proactive and preventive approach to senior care.
In this webinar, CarePredict shares about their journey from initial concept through prototyping, use case development, business development, and addressing the crisis of a widening gap in the senior to caregiver ratio.
Utilizing wearable technology in remote patient monitoring with aging populat...Valencell, Inc
Most developed nations are experiencing a dramatic aging of the population, which is putting pressure our healthcare systems to provide care outside of medical facilities and driving opportunities for remote patient monitoring systems. In fact, 90% of family caregivers want a way to monitor their loved ones, receive alerts and be involved in their care. This webinar will discuss the trends driving remote patient monitoring today and how these systems are utilizing wearable technology to elevate the level of care possible outside of medical facilities. You won’t want to miss this webinar!
Cognitive Computing: Company presentation by Avner Halperin, Co-Founder & CEO of EarlySense at the NOAH Conference 2019 in Tel Aviv, Hangar 11, 10-11 April 2019.
DayOne Experts - Next generation clinical trialsDayOne
Event introduction slides by Thomas Brenzikofer.
Read the event report here:https://www.baselarea.swiss/baselarea-swiss/channels/innovation-report/2019/06/on-the-verge-of-being-born-next-generation-clinical-trials.html
Tomasz Sablinski, Founder and CEO of Transparency Life Sciences raised the crunch question of the evening: Which industry is lagging behind the most in terms of digitization? Right, it is the healthcare industry! But who would have expected the usual lamentation of why this is the case; blaming regulatory constraints, scarce innovation culture, or unachievable technology barriers proved wrong. The appetite for change and finding new ways of doing things was too strong among Basel’s Healthcare innovators at the DayOne Expert Session on “Next Generation Digital Trials”.
The idea of the event was to present a holistic view of the current standing in the digitizing clinical trials.
Future Diagnostics, In Vitro Diagnostiek "Bloedserieus"Health Valley
Future Diagnostics strives to become a leading developer of innovative diagnostic tests. It aims to be the preferred partner of top IVD companies for outsourced test development. The company was founded in 1997 and now has 60 employees working on 34 projects. It has two facilities and is certified under ISO and FDA quality standards. Future Diagnostics has experience developing assays for various analytes on automated platforms and is interested in point-of-care tests and new testing technologies.
Wireless healthcare: the next generationJeffrey Funk
The document discusses emerging technologies that enable the next generation of wireless healthcare, including diagnostics, treatment, monitoring and healthy lifestyle support. Key technologies discussed include capsule endoscopy, smart drug delivery systems, digital pill monitoring and mHealth. These technologies leverage advances in processing, sensors, batteries and biomarkers to improve healthcare outcomes while reducing costs.
Android evaluating data reliability an evidential answer with application to...ecway
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This document summarizes the potential applications and challenges of wireless healthcare technologies. It discusses how wireless devices can enable remote monitoring, diagnosis, and consultation. Some benefits include improved patient quality of life through mobility, reduced costs and wait times. However, challenges include technical issues like battery life, financial models, and patient concerns about privacy, accuracy and radiation exposure.
Best practices in using wearable biometric sensors to prove medical use casesValencell, Inc
The use of wearable devices in health and medical use cases is growing rapidly along with the number and capabilities of wearable devices. The sensor technology embedded in wearables today rivals the capabilities of regulatory-approved medical devices, and in many cases enables new and different use cases than we’ve seen possible before. This session will highlight the best practices we’ve seen emerging recently from real-world projects proving the efficacy of wearable devices in health and medical use cases in the areas of cardiovascular conditions, neurological disease, pain management, and other areas of interest. We’ll also explore the potential pitfalls to avoid and key things to consider when using wearables in proving out your medical use case.
The document discusses point-of-care medical diagnostics to improve healthcare outcomes. It notes that centralized medical testing has limitations like high costs and lack of infrastructure. To address this, portable diagnostic tests are needed that are faster, simpler, cheaper and can test for multiple conditions simultaneously. The document describes a microchip-based diagnostic device under development that uses microfluidics and optical detection techniques to provide sensitive, automated testing at the point-of-care to help diseases like HIV, TB and malaria which claim millions of lives annually.
State of Wearables Today - 2018 Consumer SurveyValencell, Inc
A new national survey released today on wearables revealed that actionable, accurate health insights from wearables will be increasingly important to the success of the industry and 63% of respondents have owned a wearable device at some point, up from 42% in 2016. The online survey polled 826 consumers from a wide range of U.S. regions, ages, and income levels on their experiences and preferences around wearables. The 2018 survey is a follow-up from the same survey conducted by Valencell in 2016.
What are biometric parameters and why do they matter? Valencell, Inc
Biometric parameters are characteristics of the vascular system and blood flow dynamics that can help define or classify the system's performance, status, or condition. Key biometric parameters extracted from photoplethysmography (PPG) signals include signal quality, normalized pulsatile amplitude related to blood volume and flow, non-pulsatile amplitude indicating breathing and cardiovascular health, and ambient light levels. These parameters enable new use cases for wearables in areas like pain management, pilot monitoring, and tracking blood pressure during exercise. Valencell's motion-tolerant extraction of biometric parameters from PPG signals allows their use in applications requiring activity.
Patient Centricity: EHR Pillars to Patient CentricityDayOne
AT the DayOne Experts - Next Generation Clinical Trials, Randy Ramin-Wright from Clinerion demonstrated how patient recruitment works in the digital age.
These slides use concepts from my (Jeff Funk) course entitled analyzing hi-tech opportunities to show how mobile devices are becoming more economically feasible for health care. Rapid improvements in electronics are enabling a wide variety of health-related attachments to become available for mobile phones. These attachments can analyze breath, blood oxygen levels, blood glucose, blood type, and urine and do ultrasounds. These advances will change the way health care is monitored and managed.
The document discusses how Birmingham Heartlands Hospital in the United Kingdom has implemented digital pathology solutions from Roche to improve workflows and collaboration. The hospital scans over 175,000 slides annually and pathologists can now access virtual slides instantly for consultations, tumor boards, and teaching. This streamlines processes and saves time compared to retrieving physical slides. The digital tools also enhance education and quality assurance.
Hypertension management will change more in the next 5 years than in the last...Valencell, Inc
Why will managing hypertension change more in the next 5 years than it has in the last 100?
There are several macro trends that are driving this change:
- Hypertension is a massive global health problem (over 1B people have high BP) and it is THE leading risk factor for the global burden of disease (its a comorbidity in every major chronic disease) - more of a risk factor than tobacco, obesity, poor diet, high blood glucose, etc. - according to the WHO.
- Sensor tech - there has been no meaningful innovation in BP sensors in over 100 years. The BP cuffs in use today are fundamentally the same as the first BP cuff that came to market in the early 1900's. That’s changing now with cuffless BP sensors that are being approved by regulatory bodies.
- Care delivery – healthcare "has left the building", moving out of the hospital, into the home and everyday life. This can be seen in the huge growth in remote patient monitoring, digital therapeutics, and digital health more broadly.
- Payer models – insurance coverage is moving from fee-for-service to value-based care that’s focused on prevention and monitoring. This is particularly important in hypertension management because high BP has no outward symptoms, making the frequency and ease of BP monitoring extremely important.
The document discusses how integrating the Internet of Things (IoT) into clinical trials can revolutionize medical research. IoT allows for real-time monitoring of patients through sensors and devices, improving data accuracy and patient engagement while also making trials more accessible and reducing costs. While data security, interoperability, and regulatory compliance present challenges, IoT is transforming clinical trials by streamlining processes and accelerating the development of new treatments.
Q&A: The Internet of Everything in Clinical TrialsCRF Health
The Internet of Everything (IoE) allows physical devices and sensors to measure and send data without human intervention, enabling its application to clinical trials. IoE can capture better quality data, lower patient burden by reducing site visits, and provide a more complete picture of health through continuously captured data. While IoE use in clinical trials is growing, wider adoption of consumer IoE devices requires more regulatory guidance. Data security, privacy, and the potential for placebo effects also need to be addressed. IoE may increase efficiency by reducing paper use and enabling streamlined, electronic data collection and analysis in real time.
Survey of IOT based Patient Health Monitoring Systemdbpublications
The Internet of things has provided a promising opportunity and applications for medical services is one of the most important way or solution for taking care of population which is in rapid growth. Internet of things consists of communication and sensors; wireless body area network is highly suitable tool for the medical IOT device. In this survey we discuss mainly on practical issues for implementation of WBAN to health care service tool for the medical devices. The IoT applications are key enabling technologies in industries. A main aim of this survey paper is that it summarizes the present state-of-the-art IOT in industries and also in workflow hospitals systematically. In recent years wide range of opportunity and powerful of IOT applications are developed in industry. The health monitoring system is a big challenge for several researchers. In this paper introduced on the survey of different IOT applications are used for the health monitoring system. The IoT applications are used to decrease the problems which are related to health care system.
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
This document discusses patient generated data (PGD) and how mobile health (mHealth) technologies can be used to capture it. PGD includes data recorded by patients about their health symptoms, medication adherence, biometric data from wearables, and patient reported outcomes. The document outlines how PGD can help with clinical trials and care by providing more comprehensive real-world data. Challenges with PGD like data quality, privacy and regulatory issues are discussed. The document provides examples of how the Aparito platform captures different types of PGD through mobile apps and connected devices to improve disease understanding and drug development.
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.
This research poster summarizes technologies that improve efficiency in hospitals. It finds that radio frequency identification (RFID) technology, iPad use in radiology, vascular pattern identification, ultrasonic sensors for tracking, and live endoscopic video all help to enhance efficiency. RFID technology improves processes, reduces costs and errors. iPads streamline radiologist work flows. Vascular patterns and ultrasonic sensors aid patient identification and tracking. Live endoscopic video benefits education, diagnostics and documentation. Overall, the technologies highlighted save time, lower expenses and improve workflows to increase both provider and patient satisfaction.
The document discusses how the Internet of Everything (IoE) could revolutionize clinical trials through connecting patients, data, and devices. Key points:
1) The IoE is being widely adopted across industries and could significantly benefit healthcare by applying it to clinical trials. This would allow continuous monitoring of patient data through connected devices.
2) An IoE system could remotely collect data from wearable devices and sensors, transmit it to servers for analysis, and enable real-time reporting. This offers benefits like instant access to risk factors and improved patient compliance monitoring.
3) While more data collection allows greater insights, challenges include evaluating large data volumes, ensuring privacy and security, and determining the best analysis protocols. Overall
Healthcare Innovation Technology Group MeetingDavid Voran
Presentation to a Kansas City Healthcare Innovation Technology Group Meeting on June 28, 2011.
Describes Innovation processes, needs, some examples and advice for those creating innovative technology products to be used in Healthcare.
IoT is a modest way to elevate our production and yield with the help of internet. We can supervise and control and communicate with the help of internet. Internet Of Things imagines a future physical and digital entities are to be linked by proper information and communication technologies which will sanction new class of applications and services. In this survey we will ensure a survey of applications and research difficulties for Internet Of Things in Healthcare. Shivani Ramesh Sharma ""Internet of Things (IoT): IoT in Healthcare"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-4 , June 2019, URL: https://www.ijtsrd.com/papers/ijtsrd23971.pdf
Paper URL: https://www.ijtsrd.com/computer-science/computer-security/23971/internet-of-things-iot-iot-in-healthcare/shivani-ramesh-sharma
IoT potential in Asia Healthcare System_i4Guna Sekaran
This document discusses the potential of using IoT technologies in healthcare systems in Asia. It outlines several IoT focus areas in healthcare like fitness tracking, chronic disease management, and clinical trial management. It also describes the IoT healthcare ecosystem and challenges like interoperability, privacy, and workflow changes. Empowering patients through mobile health apps and self-monitoring is highlighted as an important trend.
Big data, RWE and AI in Clinical Trials made simpleHadas Jacoby
Technology is slowly but surely penetrating the healthcare industry in general and the clinical trials sector in particular. New and advanced solutions offer a variety of possibilities aimed to both improving existing processes and creating new and more efficient ones. And on top of all stands the desire to make clinical trials more patient centric.
In all of this, even though some of the technologies have yet to mature enough to meet the high quality standards necessary, it is important to know them and begin imagining the promise they hold for clinical trials.
Secure Cloud Based Centralized Health Improvement through homomorphism Encryp...IRJET Journal
This paper proposes a secure cloud-based centralized health system that stores patients' medical histories and allows doctors to access them. It uses homomorphic encryption to encrypt health data stored in the cloud database, allowing operations on the encrypted data without decrypting it first. This ensures privacy and security of patients' medical information while enabling doctors to properly treat patients based on their medical histories.
Big Data and its Impact on Industry (Example of the Pharmaceutical Industry)Hellmuth Broda
While we bemoan the ever increasing data tsunami new technologies allow to harvest the gold nuggets in the hay stack.
Using the example of the Pharmaceutical Industry some of the possible business uses for Big Data Analitics are outlined.
The Randomized Controlled Trial: The Gold Standard of Clinical Science and a ...marcus evans Network
This document summarizes Vinod Khosla's views on the future of healthcare presented at a talk at Stanford University in 2012. Khosla believes that within 5 years, most of what doctors know about medicine will be obsolete, with computers and robotics replacing physicians for diagnosis and treatment. He argues that the randomized controlled trial (RCT) has become a barrier to innovation in healthcare, as new technologies and approaches could provide solutions more quickly through alternative studies like smaller feasibility studies, large observational studies, and use of big data analytics and mobile technologies. Khosla believes harnessing new technologies could shorten clinical trials and enable better outcomes at lower costs.
Healthcare Technology & Medical InnovationsS A Tabish
The document discusses how technology has changed and impacted healthcare. It covers several key areas:
1) Technology has transformed how clinicians perform their jobs and expanded options for medical treatments through improvements in networking and computers.
2) As demands on healthcare organizations increase, technology solutions are helping to improve performance, increase collaboration, manage costs, streamline processes, automate tasks and improve workflows.
3) Technologies like AI, blockchain, cloud computing, telehealth, and interoperability solutions are further helping to improve patient care, experiences and outcomes while reducing costs.
The power of a digital thread in life sciencesaccenture
This document discusses how a digital thread can help accelerate drug development and manufacturing processes in the life sciences industry. It highlights how orthodoxies around discovery, clinical trials, and manufacturing have been dispelled due to COVID-19. A digital solution is proposed to create better collaboration and faster decision making across R&D and manufacturing. An example is provided of how a biopharma client leveraged existing IT platforms to create a digital product profile and digitize manufacturing controls, reducing tech transfer efforts by over 20%. The benefits of the digital thread include rapid drug discovery, smart manufacturing, holistic data views, and treatments reaching more patients faster.
TOP 7 WAYS TECHNOLOGY IS IMPROVING HEALTHCARE.pptxThiyagu2
Development in technologies always makes the healthcare industry the winning one. We present you the top 7 ways in which technology is improving healthcare.
10 Ways in which Technology is Driving Better Efficiency in Clinical TrialsInsights10
New technological innovations are improving the efficiency and productivity of clinical trials using novel outcomes, increasing patient engagement, and reducing patient burden. To get a report in detail, contact us at - info@insights10.com
The document discusses how artificial intelligence can be applied in clinical trials to improve efficiency and outcomes. It provides examples of how AI is currently used across different stages of drug development, from data aggregation and analysis to patient recruitment and monitoring. The use of AI and machine learning applied to real-world data is highlighted as a way to better understand diseases, select appropriate patients and sites, and design more effective clinical trial processes and studies. Case studies are presented showing how several companies are already using AI to match patients to suitable trials, analyze cancer patient data to identify eligibility, and create more personalized treatments.
Wearable Cardioverter Defibrillators Market forecast to witness phenomenal gr...sushant deshmukh
Wearable cardioverter defibrillators industry is slated to witness a strong growth owing to rapidly growing geriatric population. As per United Nations statistics, 2015, the number of people over 60 years of age has increased significantly over the past few years in most of regions, United Nations further projected that between 2015 and 2030, the number of people over 60 years of age will grow by more than 55% from 901 million to 1.4 billion in 2030 globally.
Clinical research is quite vital in the field of physiotherapy. Physiotherapists depends on information from researches to enhance the knowledge they have already gained through their university education and with continuous education courses.
Clinical research is quite vital in the field of physiotherapy. Physiotherapists depends on information from researches to enhance the knowledge they have already gained through their university education and with continuous education courses.
Problems in using_spreadsheets_to_collect_clinicalsushant deshmukh
Microsoft Excel is a free and a very familiar tool for all of us. Spreadsheets are used for a wide range of projects, but they are far from ideal when it comes to data capture in clinical trials. Excel wasn’t created to build case report forms (CRFs) or to compare and verify patient's data that’s collected in clinical research. Despite technological advances,many organizations still cling to spreadsheets.
The clinical trial industry is gaining continuously a positive metamorphosis in India. Now the clinical trial processes are being viewed as drug discovery rather than drug development destination only. At present, several companies are looking at the innovation. And rise of these companies have led to many more openings for clinical research job in Pune and India as a whole.
The CRB Tech Institute of Clinical Research is a unique year-long education, learning and guidance system for fellows with biology background. It provides a broad education and learning on clinical research methods, research partnerships and managing the demands of family and profession. The goal of CRB Tech Institution is to produce a team of researchers armed with suggestions for clinical research carrying out innovative clinical trials and access to sources to make their concepts a reality.
studies involving people. They are divided into different stages, called phases. The earliest phase trials might focus at whether a drug is safe or the side effects it causes. A later phase trial aims to test and compare whether a new treatment is better than existing ones.also checkwhy clinical trials are important in clinical research.
Types of Classifi
Types Of Clinical Trials And Its Significance Clinical trials means medical research studies involving people. They are divided into different stages, called phases. The earliest phase trials might focus at whether a drug is safe or the side effects it causes. A later phase trial aims to test and compare whether a new treatment is better than existing ones.also checkwhy clinical trials are important in clinical research.
ere we continue with the remaining concept of crowdfunding. As stated crowd-funding is gearing significance in the field of clinical research or medical research in general.
Pharmacists around the world are playing immense roles in the growth of Clinical Research. Some does contribute as a part of their profession and a few are passionate about their behind the scenes role.
Such passionate pharm
Pharmacists around the world are playing immense roles in the growth of Clinical Research. Some does contribute as a part of their profession and a few are passionate about their behind the scenes role.
Keeping with its promises, Association of the British Pharmaceutical Industry has launched a clinical-trial disclosure toolkit to help its member businesses observe with transparency needs for information from or about clinical trials.
Keeping with its promises, Association of the British Pharmaceutical Industry has launched a clinical-trial disclosure toolkit to help its member businesses observe with transparency needs for information from or about clinical trials.
Role responsibilities of_a_clinical_research_coordsushant deshmukh
Clinical Research Coordinator (CRC) is a specialized research person working with and under the direction of the Principal Investigator .While the Principal Investigator(PI) is primarily responsible for the overall designing, conducting, and management of the clinical trial, the CRC supports, and coordinates the regular clinical trial activities and plays a crucial role in the conduct of the study. By doing these duties, the CRC works with the PI, sponsor ,department, and institution to support and provide guidance on every related aspects of the study.
Every clinical research project may have one or more study coordinators depending on the workload at the trial site. Clinical trials at site level can be roughly divided into 3 stages. The three stages and the role of the coordinators at these stages are:
1) Before starting the clinical trial
2) During the conduct of the clinical trial
3) After finishing the clinical trial
1) Before starting the clinical trial:
Clinical Research Coordinator (CRC) is a specialized research person working with and under the direction of the Principal Investigator .While the Principal Investigator(PI) is primarily responsible for the overall designing, conducting, and management of the clinical trial, the CRC supports, and coordinates the regular clinical trial activities and plays a crucial role in the conduct of the study. By doing these duties, the CRC works with the PI, sponsor ,department, and institution to support and provide guidance on every related aspects of the study.
Pharmacovigilance is the approach related to making an assessment, detection, understanding and prevention of inappropriate effects or any other problems to drug-related . So those working in the field of pharmacovigilance must have a good working knowledge of the principles of drug safety, regulations and proactive strategies for risk management. So people who want to pursue a clinical research career, can take up Pharmacovigilance training for adding value to their qualification.
Pharmacovigilance is the approach related to making an assessment, detection, understanding and prevention of inappropriate effects or any other problems to drug-related . So those working in the field of pharmacovigilance must have a good working knowledge of the principles of drug safety, regulations and proactive strategies for risk management. So people who want to pursue a clinical research career, can take up Pharmacovigilance training for adding value to their qualification.
The clinical trial industry is gaining continuously a positive metamorphosis in India. Now the clinical trial processes are being viewed as drug discovery rather than drug development destination only. At present, several companies are looking at the innovation. And rise of these companies have led to many more openings for clinical research job in Pune and India as a whole.
Medical Research: Rebuilt, Retooled and Rebooted An early stage mobile medical device company developing a human-centered suite of consumer products using science and technology to empower everyday people to monitor and better understand their own health—anytime, anywhere.
This slide is special for master students (MIBS & MIFB) in UUM. Also useful for readers who are interested in the topic of contemporary Islamic banking.
A review of the growth of the Israel Genealogy Research Association Database Collection for the last 12 months. Our collection is now passed the 3 million mark and still growing. See which archives have contributed the most. See the different types of records we have, and which years have had records added. You can also see what we have for the future.
Executive Directors Chat Leveraging AI for Diversity, Equity, and InclusionTechSoup
Let’s explore the intersection of technology and equity in the final session of our DEI series. Discover how AI tools, like ChatGPT, can be used to support and enhance your nonprofit's DEI initiatives. Participants will gain insights into practical AI applications and get tips for leveraging technology to advance their DEI goals.
Strategies for Effective Upskilling is a presentation by Chinwendu Peace in a Your Skill Boost Masterclass organisation by the Excellence Foundation for South Sudan on 08th and 09th June 2024 from 1 PM to 3 PM on each day.
Walmart Business+ and Spark Good for Nonprofits.pdfTechSoup
"Learn about all the ways Walmart supports nonprofit organizations.
You will hear from Liz Willett, the Head of Nonprofits, and hear about what Walmart is doing to help nonprofits, including Walmart Business and Spark Good. Walmart Business+ is a new offer for nonprofits that offers discounts and also streamlines nonprofits order and expense tracking, saving time and money.
The webinar may also give some examples on how nonprofits can best leverage Walmart Business+.
The event will cover the following::
Walmart Business + (https://business.walmart.com/plus) is a new shopping experience for nonprofits, schools, and local business customers that connects an exclusive online shopping experience to stores. Benefits include free delivery and shipping, a 'Spend Analytics” feature, special discounts, deals and tax-exempt shopping.
Special TechSoup offer for a free 180 days membership, and up to $150 in discounts on eligible orders.
Spark Good (walmart.com/sparkgood) is a charitable platform that enables nonprofits to receive donations directly from customers and associates.
Answers about how you can do more with Walmart!"
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...Dr. Vinod Kumar Kanvaria
Exploiting Artificial Intelligence for Empowering Researchers and Faculty,
International FDP on Fundamentals of Research in Social Sciences
at Integral University, Lucknow, 06.06.2024
By Dr. Vinod Kumar Kanvaria
This presentation includes basic of PCOS their pathology and treatment and also Ayurveda correlation of PCOS and Ayurvedic line of treatment mentioned in classics.
1. A Life Lab For Clinical Research
ORCATECH is an R&D center formed in combination with the biomedical engineering and
neurology departments at Oregon Health and Science University.
Judith Kornfeld, the chief business and operations officer for ORCATECH and her group has
developed a system for clinical research which is based on remote sensing and pervasive
computing where data is collected unnoticed and continuously. ORCATECH installs sensors in
patient homes, rather than equipping patients with wearable devices, to monitor patient activity.
This article summaries Judith's opinion on how technology is transforming clinical development.
ORCATECH’s technology
ORCATECH technology was developed to allow the patient’s daily life to be the source of data
collection to measure health changes and meaningful outcomes in clinical studies.
Moreover, this approach to clinical trials need a smaller sample size per clinical trial and the ability
to detect changes and response to therapy is much faster owing to the density and the plurality of
the data.
What are some of the types of data you’re collecting?
Movement around the house
Leaving and entering the house
Walking speed, sleep measurements
Computer use
Balance, weight
Driving parameters as well
Medication use
Socialization and more
Even weekly reports are collected via E-mail that allow to obtain additional data that was not picked
up through the automated system.
Indeed a dense data
Since it’s continuous and mostly collected 24/7; clinical data management has to be very efficient.
Too much of potential data
2. In response Judith said there is nothing really “too much data,” it’s all about how make sense of
this gold mine. It’s the algorithms developed here that take all this data and interpret it into
valuable clinical information.
Digital biomarkers
Humans are digital markers and information can be obtained in a very accurate manner that reflect
the patient’s parameters of real life.
Digital biomarkers are a fairly new concept to be considered in pharma technology?
The whole idea is to collect something that is ecologically valid. There won't be use of a single
device and follow one data stream that is isolated from reality. The approach should make sense and
gives a multidimensional picture.
Future of drug development with this new technology
The whole design of the clinical trial has to change.
There are plenty of compounds but very few gets approved. The clinical trial process is very costly,
long and inefficient.....This has to change.
Along-with the drive to reduce costs of health-care efforts must be undertaken to reduce the cost of
R&D for treatments, both pharmaceuticals and medical devices.
New technology can reduce costs
In terms of technology, the cost of implementation and efficiency of the clinical trial process this
new technology may reduce costs in many ways.
The sensors are off-the-shelf sensors that are very inexpensive. Since no development of any
special devices, so no development costs. Even the fact that data collection takes place in home
and not in an expensive clinical setting reduces costs.
But the real cost advantage occurs in the long term, because small sample size and shortened
clinical trials would lead to significant costs savings.
Even time in a trial is very expensive, so if the time required can be reduced this would the cost
enormously.
Most talked concerns about with this type of technology
Security and privacy, though none of the data collected can identify a person. No cameras or facial
recognition device used and all the sensor data that is collected in the home is separated from the
identity of the subject.
Since all our lives today are on the Internet, so the idea of data collection at home is no more a
privacy breach. Judith said that they comply with all HIPAA standards and use IRBs in all research
works.