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
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.
The most fundamental expectation from the healthcare sector is that it provides a safe and reliable environment to serve patients. Medical supplies and equipment have also improved with technological advancements, making them easier to use, providing a better experience, and increasing their longevity. With advancement in technology, medical services can also be tracked for efficiency.
The most fundamental expectation from the healthcare sector is that it provides a safe and reliable environment to serve patients. Medical supplies and equipment have also improved with technological advancements, making them easier to use, providing a better experience, and increasing their longevity. With advancement in technology, medical services can also be tracked for efficiency.
Regulatory Concerns When Running Virtual/Paperless Clinical TrialsTarget Health, Inc.
With drug and device manufacturers and the U.S. Food and Drug Administration (FDA) supplying much of the push, so-called paperless clinical trials are gaining momentum. In this eClinical Forum webinar, Dr. Jules Mitchel, President of Target Health, facilitated the discussion on the future landscape and regulatory concerns of paperless clinical trials and clinical trial design incorporating mobile tools.
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.
Machine learning in health data analytics and pharmacovigilanceRevathi Boyina
Machine learning and data analytics can help improve pharmacovigilance in several ways:
1) Machine learning algorithms can automatically extract adverse drug reactions from biomedical literature and FDA drug labels, helping pharmacovigilance teams more efficiently identify all potential ADRs.
2) Large healthcare datasets and sophisticated algorithms can help pharmaceutical companies with drug discovery, clinical trials, personalized treatment, and epidemic outbreak prediction.
3) Advances in machine learning are reshaping healthcare and have the potential to cut clinical trial costs, improve quality, speed up trials, and facilitate tasks like reviewing literature, recruiting patients, and making diagnoses.
Digital health care technology is transforming hospitals. While technology offers opportunities to improve quality, safety and efficiency, fully digitizing healthcare and replacing clinical judgement with algorithms is still a long way off. Hospitals need to focus on using technology to support, not replace, clinicians. Success requires balancing the needs of people, processes and technology, and managing risks from unintended consequences and legal compliance issues. The ultimate goal remains providing high quality, patient-centered care.
From healthcare to homecare: The critical role of 5G in healthcare transforma...Ericsson Latin America
Today, consumers have the power to take control of their health through smartphone apps, wearables and other connected devices – and it has never been easier to lose weight, improve sleep, count calories and get fit. This kind of simple, immediate access is also changing consumer attitudes and expectations when it comes to healthcare. Here we explore the transformation across three healthcare situations: preventative, routine and post-operative care.
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.
The most fundamental expectation from the healthcare sector is that it provides a safe and reliable environment to serve patients. Medical supplies and equipment have also improved with technological advancements, making them easier to use, providing a better experience, and increasing their longevity. With advancement in technology, medical services can also be tracked for efficiency.
The most fundamental expectation from the healthcare sector is that it provides a safe and reliable environment to serve patients. Medical supplies and equipment have also improved with technological advancements, making them easier to use, providing a better experience, and increasing their longevity. With advancement in technology, medical services can also be tracked for efficiency.
Regulatory Concerns When Running Virtual/Paperless Clinical TrialsTarget Health, Inc.
With drug and device manufacturers and the U.S. Food and Drug Administration (FDA) supplying much of the push, so-called paperless clinical trials are gaining momentum. In this eClinical Forum webinar, Dr. Jules Mitchel, President of Target Health, facilitated the discussion on the future landscape and regulatory concerns of paperless clinical trials and clinical trial design incorporating mobile tools.
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.
Machine learning in health data analytics and pharmacovigilanceRevathi Boyina
Machine learning and data analytics can help improve pharmacovigilance in several ways:
1) Machine learning algorithms can automatically extract adverse drug reactions from biomedical literature and FDA drug labels, helping pharmacovigilance teams more efficiently identify all potential ADRs.
2) Large healthcare datasets and sophisticated algorithms can help pharmaceutical companies with drug discovery, clinical trials, personalized treatment, and epidemic outbreak prediction.
3) Advances in machine learning are reshaping healthcare and have the potential to cut clinical trial costs, improve quality, speed up trials, and facilitate tasks like reviewing literature, recruiting patients, and making diagnoses.
Digital health care technology is transforming hospitals. While technology offers opportunities to improve quality, safety and efficiency, fully digitizing healthcare and replacing clinical judgement with algorithms is still a long way off. Hospitals need to focus on using technology to support, not replace, clinicians. Success requires balancing the needs of people, processes and technology, and managing risks from unintended consequences and legal compliance issues. The ultimate goal remains providing high quality, patient-centered care.
From healthcare to homecare: The critical role of 5G in healthcare transforma...Ericsson Latin America
Today, consumers have the power to take control of their health through smartphone apps, wearables and other connected devices – and it has never been easier to lose weight, improve sleep, count calories and get fit. This kind of simple, immediate access is also changing consumer attitudes and expectations when it comes to healthcare. Here we explore the transformation across three healthcare situations: preventative, routine and post-operative care.
Digital health technologies like electronic health records (EHRs) aim to make healthcare delivery more efficient, timely and effective. However, simply implementing technology for its own sake is not enough - technology must be used to truly transform clinical processes and improve patient outcomes. A "smart hospital" focuses on using information and digital tools to enhance clinical decision-making and support high quality care, rather than just replacing paper records. Health IT should help humans perform better rather than replace them.
Machine learning is the field that focuses on how computers learn from data. Today, machine learning is playing an integral role in the medical industry. This is due to its ability to process huge datasets beyond the scope of human capability, and then convert the data analyzed into clinical insights that aid physicians in providing care. Machine learning is a powerful, relatively easy to implement tool with numerous possibilities to enhance medical practice. The applications of machine learning in medicine are advancing medicine into a new realm. Therefore, educating the next generation of medical professionals with machine learning is essential. This paper provides a brief introduction to applying machine learning in medicine. Matthew N. O Sadiku | Sarhan M. Musa | Adedamola Omotoso "Machine Learning in Medicine: A Primer" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-2 , February 2019, URL: https://www.ijtsrd.com/papers/ijtsrd20255.pdf
Paper URL: https://www.ijtsrd.com/computer-science/other/20255/machine-learning-in-medicine-a-primer/matthew-n-o-sadiku
Medical imaging is part of a changing medical environment, a changing
patient environment and consequently a new medical world. In the
recent decennium one of the most important changes in radiology is the
conversion from analogue to digital. In no time medical images have
become interchangeable through the digital highway and could be postprocessed
in a different location. Teleradiology has become a reality
since then. We have seen the maturation of commercial international
teleradiology companies offering a wide portfolio of services. Another
aspect is the availability of image data for all medical specialties beyond
radiology and beyond the regular medical disciplines. An increasing
number of surgical or oncological specialties and even pharmaceutical
companies increasingly use image data to prepare a strategy for
operative procedures, to choose the right therapy, to decide which
prosthesis to the best to use, for follow-up or for post-processing
purposes. They are supported by many new techniques and software.
An increasing number of medical computer applications such as complex
navigation and visualisation tools based upon digital images is already
in clinical use or under development. Another trend is the increasing
interest in E-health and telemedicine in Europe, also among European
policy makers. Now we see mobile health that brings care directly into
the patient environment. The purpose of this presentation is to give a
comprehensive overview of and insight into these new developments and
to create awareness among radiologists of the increasing importance of
integration of medical imaging in a multidisciplinary environment.
Mobile devices are enforcing its use in all aspects of life, health care is one major area where mobile device could enhance operations, or improve quality and efficincy. Here is a presentation I gave at HIMSS which may be useful to you if you are considering using mobile device in your health care discpline.
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.
The Life-Changing Impact of AI in HealthcareKalin Hitrov
For IT Leaders in the healthcare and pharmaceutical industries looking to understand the impact of AI on their industries and how to overcome the ethical and efficiency challenges that come with its use.
Healthcare and medicine are being revolutionized by communications and computational resources. Understanding how the convergence of these enabling technologies is advancing our ability to get and stay well is the topic of this presentation.
How Wireless Healthcare Systems benefit from 5Gmsh7610
5G networks will enable more advanced wireless healthcare systems by providing ultra-high speeds, low latency, and the ability to connect billions of IoT devices. This will allow for real-time monitoring of patients through wearable sensors, integration of medical data from various sources, and telemedicine applications. However, ensuring privacy, security, reliability, and interoperability will be critical as healthcare moves increasingly online. 5G's high performance capabilities can help address these challenges and support remote healthcare delivery through technologies like wireless body area networks.
This document summarizes 10 health innovations and trends to watch in 2010, including: 1) "Hello Health" franchised primary care practices with online tools and direct payments, 2) use of surgical checklists to improve safety, 3) mobile health applications like HealthMap for disease surveillance, 4) direct-to-consumer genetic testing providing personalized health information, 5) "reverse innovations" developed first for emerging markets, 6) services generating personalized care plans from health data, 7) point-of-care diagnostic technologies, 8) the University of Toronto's crowdsourcing of health system ideas, 9) the growth of mobile health applications, and 10) patient data sharing communities like PatientsLikeMe. These innovations aim to improve health
This document discusses the evolution of healthcare and opportunities in digital health. It notes that healthcare is transitioning from a data poor to data rich science due to genomics, data science, mobile devices, and personalized medicine. This represents a shift from herd to personalized medicine. The document also discusses the growth of digital health funding and deals, increasing traction through FDA approvals and partnerships, and outlines a portfolio of digital health investment opportunities.
Digital health for analog humans: Changing human roles and responsibilities in the digital transformation of health systems
This document discusses how digital transformation is changing the roles and responsibilities of various human actors in healthcare systems. It notes that while digital health technologies are becoming more prevalent, humans still play central roles. It explores new roles for patients and citizens who may generate and share their own health data, for healthcare professionals who must learn new digital skills, and for health informatics specialists. The document advocates that educators and researchers should help ensure digital transformation supports human needs and responsibilities.
This document discusses big data in healthcare and whether big data is always good data. It notes that large amounts of medical data are generated each day from various sources but quality is a challenge. Three characteristics of big data are described: volume, velocity and variety. For big data to be good, it must be valid and valuable. Challenges include quality, inconsistency, security and regulation. New technologies now allow continuous remote health monitoring but also raise ethical issues. Adverse drug events are a growing issue and most safety reports are missing basic data details. Collecting high-quality safety reports directly from individuals could provide purer data to inform medicine understanding and use.
The 10 most innovative medical devices companies 2018insightscare
Despite these challenges, medical device companies have always been adept with the latest technology and innovations happening in the sector. Keeping this in mind, we bring you the in-depth profiles of- “The 10 Most Innovative Medical Devices Companies 2018.”
This document discusses 5 reasons why radiology needs artificial intelligence:
1. There is a global shortage of radiologists that is expected to worsen as imaging volumes increase faster than new radiologists enter the field. AI can help improve radiologist productivity.
2. AI can enhance radiologist productivity through functions like smart alerts, automatic image annotation, and faster access to patient information.
3. AI can help improve diagnostic accuracy by reducing human error, tracking lesions over time more quantitatively, and providing automated second opinions.
4. AI may help lower misdiagnosis rates by alerting radiologists to disease indicators and comparing new cases to existing ones to reduce fatigue-related errors.
5. AI could help improve
Presentation that gives an overview of the impact of IT on radiology, including the growing role of biomarkers and artificial intelligence and deep learning on the (future) radiology profession. The shift to precision medicine and personalized care are explained, the reasons for a re-definition of radiology are addressed.
Development Standards and Regulations for HealthTechElinext
Wearables, surgery robots, wellness platforms, and digital doctors. The new healthcare landscape is bright, full of novelties and breaking ideas. But before entering this market, you should learn the basic regulations and standards for HealthTech products. We gathered all the information for you in our new infographic.
Artificial intelligence has great potential in healthcare, especially for analyzing medical images and aiding clinical decision-making. However, there are also risks like inaccurate data from devices, privacy and security issues, and lack of transparency in AI systems. To address this, the document recommends (1) standards for data collection, testing, and use of AI technologies, (2) collaboration between industry, academia and other stakeholders, and (3) evolving medical education and regulations to foster safe, ethical and responsible development and adoption of artificial intelligence in medicine.
Digital healthcare technologies are transforming healthcare delivery globally. Companies are developing technologies like mobile apps, big data analytics, and smart medical devices to improve patient monitoring and outcomes. These digital innovations extract insights from medical data to enhance healthcare provisioning, reduce costs, and support preventative care and remote patient monitoring. Emerging areas like bioinformatics and medical analytics utilize big data to provide actionable clinical insights.
The FDA Digital Health Center of Excellence and the Advancement of Digital He...Greenlight Guru
The FDA Digital Health Center of Excellence is part of the planned evolution of the digital health program with the intent to drive synergy for digital health efforts, align strategy with implementation, prepare the FDA for the digital health future, and protect patients and maintain the FDA standards of safety and effectiveness.
Ultimately, the program works to strategically advance science and evidence for digital health technologies that meets the needs of
stakeholders.
This free in-depth webinar, presented by Matthew DiamondChief Medical Officer, Digital Health Center of Excellence, will cover the digital health landscape and areas of application, goals and outcomes, planned services and launch plan, and the current areas of focus - including AI/ML-Based SaMD.
This presentation originally aired during the 2021 State of Medical Device Virtual Summit.
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.
Intelligence in the Internet of Medical Things (IoMT) EraDashTechnologiesInc
What is IoMT, and how is it related to IoT? The Internet of Things (IoT) is a network of interconnected smart devices. The network enables users to control devices remotely through software applications, while at the same time, data is collected through strategic touchpoints. Once processed with computing power, the data collected can be used for various purposes, including healthcare.
This blog explains what IoMT is and how it plays a vital role in its implementation and future healthcare development.
What is IoMT?
IoMT is a connected infrastructure of medical devices, software applications, and health systems and services.
And while a growing pool and general adoption of IoT technologies are benefiting many industries, it’s a wave of sensor-based tools including wearables and stand-alone devices for remote patient monitoring and the marriage of internet-connected medical devices with patient information that ultimately set the IoMT ecosystem apart.
Digital health technologies like electronic health records (EHRs) aim to make healthcare delivery more efficient, timely and effective. However, simply implementing technology for its own sake is not enough - technology must be used to truly transform clinical processes and improve patient outcomes. A "smart hospital" focuses on using information and digital tools to enhance clinical decision-making and support high quality care, rather than just replacing paper records. Health IT should help humans perform better rather than replace them.
Machine learning is the field that focuses on how computers learn from data. Today, machine learning is playing an integral role in the medical industry. This is due to its ability to process huge datasets beyond the scope of human capability, and then convert the data analyzed into clinical insights that aid physicians in providing care. Machine learning is a powerful, relatively easy to implement tool with numerous possibilities to enhance medical practice. The applications of machine learning in medicine are advancing medicine into a new realm. Therefore, educating the next generation of medical professionals with machine learning is essential. This paper provides a brief introduction to applying machine learning in medicine. Matthew N. O Sadiku | Sarhan M. Musa | Adedamola Omotoso "Machine Learning in Medicine: A Primer" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-2 , February 2019, URL: https://www.ijtsrd.com/papers/ijtsrd20255.pdf
Paper URL: https://www.ijtsrd.com/computer-science/other/20255/machine-learning-in-medicine-a-primer/matthew-n-o-sadiku
Medical imaging is part of a changing medical environment, a changing
patient environment and consequently a new medical world. In the
recent decennium one of the most important changes in radiology is the
conversion from analogue to digital. In no time medical images have
become interchangeable through the digital highway and could be postprocessed
in a different location. Teleradiology has become a reality
since then. We have seen the maturation of commercial international
teleradiology companies offering a wide portfolio of services. Another
aspect is the availability of image data for all medical specialties beyond
radiology and beyond the regular medical disciplines. An increasing
number of surgical or oncological specialties and even pharmaceutical
companies increasingly use image data to prepare a strategy for
operative procedures, to choose the right therapy, to decide which
prosthesis to the best to use, for follow-up or for post-processing
purposes. They are supported by many new techniques and software.
An increasing number of medical computer applications such as complex
navigation and visualisation tools based upon digital images is already
in clinical use or under development. Another trend is the increasing
interest in E-health and telemedicine in Europe, also among European
policy makers. Now we see mobile health that brings care directly into
the patient environment. The purpose of this presentation is to give a
comprehensive overview of and insight into these new developments and
to create awareness among radiologists of the increasing importance of
integration of medical imaging in a multidisciplinary environment.
Mobile devices are enforcing its use in all aspects of life, health care is one major area where mobile device could enhance operations, or improve quality and efficincy. Here is a presentation I gave at HIMSS which may be useful to you if you are considering using mobile device in your health care discpline.
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.
The Life-Changing Impact of AI in HealthcareKalin Hitrov
For IT Leaders in the healthcare and pharmaceutical industries looking to understand the impact of AI on their industries and how to overcome the ethical and efficiency challenges that come with its use.
Healthcare and medicine are being revolutionized by communications and computational resources. Understanding how the convergence of these enabling technologies is advancing our ability to get and stay well is the topic of this presentation.
How Wireless Healthcare Systems benefit from 5Gmsh7610
5G networks will enable more advanced wireless healthcare systems by providing ultra-high speeds, low latency, and the ability to connect billions of IoT devices. This will allow for real-time monitoring of patients through wearable sensors, integration of medical data from various sources, and telemedicine applications. However, ensuring privacy, security, reliability, and interoperability will be critical as healthcare moves increasingly online. 5G's high performance capabilities can help address these challenges and support remote healthcare delivery through technologies like wireless body area networks.
This document summarizes 10 health innovations and trends to watch in 2010, including: 1) "Hello Health" franchised primary care practices with online tools and direct payments, 2) use of surgical checklists to improve safety, 3) mobile health applications like HealthMap for disease surveillance, 4) direct-to-consumer genetic testing providing personalized health information, 5) "reverse innovations" developed first for emerging markets, 6) services generating personalized care plans from health data, 7) point-of-care diagnostic technologies, 8) the University of Toronto's crowdsourcing of health system ideas, 9) the growth of mobile health applications, and 10) patient data sharing communities like PatientsLikeMe. These innovations aim to improve health
This document discusses the evolution of healthcare and opportunities in digital health. It notes that healthcare is transitioning from a data poor to data rich science due to genomics, data science, mobile devices, and personalized medicine. This represents a shift from herd to personalized medicine. The document also discusses the growth of digital health funding and deals, increasing traction through FDA approvals and partnerships, and outlines a portfolio of digital health investment opportunities.
Digital health for analog humans: Changing human roles and responsibilities in the digital transformation of health systems
This document discusses how digital transformation is changing the roles and responsibilities of various human actors in healthcare systems. It notes that while digital health technologies are becoming more prevalent, humans still play central roles. It explores new roles for patients and citizens who may generate and share their own health data, for healthcare professionals who must learn new digital skills, and for health informatics specialists. The document advocates that educators and researchers should help ensure digital transformation supports human needs and responsibilities.
This document discusses big data in healthcare and whether big data is always good data. It notes that large amounts of medical data are generated each day from various sources but quality is a challenge. Three characteristics of big data are described: volume, velocity and variety. For big data to be good, it must be valid and valuable. Challenges include quality, inconsistency, security and regulation. New technologies now allow continuous remote health monitoring but also raise ethical issues. Adverse drug events are a growing issue and most safety reports are missing basic data details. Collecting high-quality safety reports directly from individuals could provide purer data to inform medicine understanding and use.
The 10 most innovative medical devices companies 2018insightscare
Despite these challenges, medical device companies have always been adept with the latest technology and innovations happening in the sector. Keeping this in mind, we bring you the in-depth profiles of- “The 10 Most Innovative Medical Devices Companies 2018.”
This document discusses 5 reasons why radiology needs artificial intelligence:
1. There is a global shortage of radiologists that is expected to worsen as imaging volumes increase faster than new radiologists enter the field. AI can help improve radiologist productivity.
2. AI can enhance radiologist productivity through functions like smart alerts, automatic image annotation, and faster access to patient information.
3. AI can help improve diagnostic accuracy by reducing human error, tracking lesions over time more quantitatively, and providing automated second opinions.
4. AI may help lower misdiagnosis rates by alerting radiologists to disease indicators and comparing new cases to existing ones to reduce fatigue-related errors.
5. AI could help improve
Presentation that gives an overview of the impact of IT on radiology, including the growing role of biomarkers and artificial intelligence and deep learning on the (future) radiology profession. The shift to precision medicine and personalized care are explained, the reasons for a re-definition of radiology are addressed.
Development Standards and Regulations for HealthTechElinext
Wearables, surgery robots, wellness platforms, and digital doctors. The new healthcare landscape is bright, full of novelties and breaking ideas. But before entering this market, you should learn the basic regulations and standards for HealthTech products. We gathered all the information for you in our new infographic.
Artificial intelligence has great potential in healthcare, especially for analyzing medical images and aiding clinical decision-making. However, there are also risks like inaccurate data from devices, privacy and security issues, and lack of transparency in AI systems. To address this, the document recommends (1) standards for data collection, testing, and use of AI technologies, (2) collaboration between industry, academia and other stakeholders, and (3) evolving medical education and regulations to foster safe, ethical and responsible development and adoption of artificial intelligence in medicine.
Digital healthcare technologies are transforming healthcare delivery globally. Companies are developing technologies like mobile apps, big data analytics, and smart medical devices to improve patient monitoring and outcomes. These digital innovations extract insights from medical data to enhance healthcare provisioning, reduce costs, and support preventative care and remote patient monitoring. Emerging areas like bioinformatics and medical analytics utilize big data to provide actionable clinical insights.
The FDA Digital Health Center of Excellence and the Advancement of Digital He...Greenlight Guru
The FDA Digital Health Center of Excellence is part of the planned evolution of the digital health program with the intent to drive synergy for digital health efforts, align strategy with implementation, prepare the FDA for the digital health future, and protect patients and maintain the FDA standards of safety and effectiveness.
Ultimately, the program works to strategically advance science and evidence for digital health technologies that meets the needs of
stakeholders.
This free in-depth webinar, presented by Matthew DiamondChief Medical Officer, Digital Health Center of Excellence, will cover the digital health landscape and areas of application, goals and outcomes, planned services and launch plan, and the current areas of focus - including AI/ML-Based SaMD.
This presentation originally aired during the 2021 State of Medical Device Virtual Summit.
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.
Intelligence in the Internet of Medical Things (IoMT) EraDashTechnologiesInc
What is IoMT, and how is it related to IoT? The Internet of Things (IoT) is a network of interconnected smart devices. The network enables users to control devices remotely through software applications, while at the same time, data is collected through strategic touchpoints. Once processed with computing power, the data collected can be used for various purposes, including healthcare.
This blog explains what IoMT is and how it plays a vital role in its implementation and future healthcare development.
What is IoMT?
IoMT is a connected infrastructure of medical devices, software applications, and health systems and services.
And while a growing pool and general adoption of IoT technologies are benefiting many industries, it’s a wave of sensor-based tools including wearables and stand-alone devices for remote patient monitoring and the marriage of internet-connected medical devices with patient information that ultimately set the IoMT ecosystem apart.
How Healthcare is Adopting New Technologies? | 7 Best technology | CIO Women ...CIOWomenMagazine
The worldwide epidemic compelled the industry to adapt and innovate. It also described how healthcare is adopting new technologies in the following ten years.
Nobody can predict the future, however by following trends, we can navigate the direction in which we’re heading. Trends are dictated by a wide range of economic and political factors, and often they are propelled by innovations. The newest technological trends owe themselves to necessary innovations in the healthcare industry, spurred by the Covid-19 pandemic.
With the Covid-19 pandemic revealing the gaps and inefficiencies of healthcare systems around the world, the newest developments in healthcare technologies are suddenly getting a lot more attention. This is useful, because the executives who are often hesitant in changing long-standing healthcare practices must revaluate and evolve in order to provide the most effective treatment plans for their patients.
Our approach to data analysis, data use, and data management are evolving across all sectors as a result of big data. And one sector where it may be effectively deployed is Cloud Tech Trends in healthcare, where it can help people avoid dangerous illnesses, lower the total cost of treatment, and anticipate disease outbreaks.
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.
Decentralized trials white paper by Andaman7Lio Naveau
- Mobile clinical trials offer advantages over traditional trials such as improved data collection, simplified recruitment, and increased patient engagement.
- A study found that 76% of respondents would prefer to participate in a mobile clinical trial rather than a traditional one.
- Mobile technologies are revolutionizing clinical research by facilitating access to information, enabling more patients to participate regardless of location, and allowing for more convenient participation.
POST EACH DISCUSSION SEPARATELYThe way patient data is harvested.docxLacieKlineeb
POST EACH DISCUSSION SEPARATELY
The way patient data is harvested and used is rapidly changing. Patient data itself has become quite complex.
In the future
, patient data will be combined with financial data, product or drug data, socioeconomic factors, social patterns, and social determinants of health. Cognitive behavior and artificial intelligence will be applied to the data to help prevent and depict rather than cure disease.
Evaluate the future of Healthcare information technology.
Include the following aspects in the discussion:
Find two articles related to the future of information systems (IS) in healthcare
Include telehealth, wearable technology, patient portals, and data utilization
Analyze potential benefits from advances
Discuss, from your own perspective, the advantages and disadvantages of having a system where the patient manages their own data
REPLY TO MY CLASSMATE’S DISCUSSION TO THE ABOVE QUESTIONS AND EXPLAIN WHY YOU AGREE. MINIMUM OF 150 WORDS EACH
Classmate’s Discussion 1
The technological advancements that have occurred in the field of healthcare have greatly changed the way people view and interact with the healthcare system. They have also led to the reduction of costs and the increasing efficiency of the system. We expect that the future of healthcare will continue to be influenced by information technology.
Due to the technological advancements that have occurred in the field of healthcare, physicians are now able to spend less time with their patients. This has allowed them to provide more effective and efficient care to their patients. In the future, we can expect that the increasing number of specialists who can delegate their work to other doctors will have a significant impact on the healthcare system. The increasing efficiency of doctors is expected to have a significant impact on the shortage of specialist physicians in the future. This issue could be solved using technology. Hopefully, the use of information technology can help boost the number of specialist physicians (Patric, 2022).
Electronic health records have revolutionized the way healthcare is done. Despite the progress that has been made in terms of keeping and tracking these records, they are still not widely used yet. This means that the kind of growth that was expected from the adoption of these records has not materialized. Although the adoption of electronic health records has been made in various parts of the world, it’s still not widely used in all areas. This means that the ability to keep track of one’s medical history is still very important (Patric, 2022).
The increasing importance of information technology in healthcare has led to the prediction that the cost of healthcare will eventually come down. Various factors such as better accessibility and efficiency will help make healthcare more affordable and more effective.
It’s widely believed that keeping one's health is much cheaper and easier than treating a.
7 Reasons Your Company Should Use A Digital Healthcare Solution.pptxMocDoc
Digital Healthcare Solution is one of the latest growing technology used by Healthcare Industries. So Here are the reasons why your company should use a Digital Healthcare
Pharmaceutical companies are increasingly recognizing the value of real-world evidence and digital health technologies. Real-world data from electronic health records, wearable devices, and other sources can provide insights into drug effectiveness outside of controlled clinical trials. This data has the potential to transform drug development and delivery of personalized healthcare. It allows evaluation of treatments using broader and longer-term patient data. Pharma is exploring applications of real-world evidence such as improving clinical trial design and identifying new drug targets and uses based on unanticipated real-world findings. Widespread collection and use of real-world data may help address industry challenges like rising development costs and ensuring drug safety.
This document discusses big data analytics for the healthcare industry. It describes how big data is being generated at an alarming rate in healthcare for purposes like patient care and regulatory compliance. The four V's of big data - volume, velocity, variety and veracity - are discussed. The document outlines how big data analytics can improve patient outcomes through pathways like right living, right care, right provider, right innovation and right value. Hadoop applications that can help the healthcare sector manage and analyze large amounts of unstructured data are also presented.
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
Digital technology is changing the relationship between patient and doctor, and healthcare providers must adopt new approaches to data and information.
Read our new article to gain insights of how the adoption of cloud affects the healthcare industry.
The impact and benefits of the Internet of Things in healthcare.pdfNoman Shaikh
Internet of Things consists of a system of wireless, intertwined, and connected digital devices that can collect, store and share information over a network without any human-to-human or human-to-computer interaction. IoT promises many advantages to enhance and streamline the healthcare space and proactively predict the health issues, treatments and diagnose, and monitor the patients.
This document discusses how pharmaceutical companies can use digital health technologies like a patient engagement platform (PEP) to play a greater role in healthcare. A PEP would use tools like sensors, apps, and smart devices to collect patient data and provide personalized support to improve engagement, outcomes and costs. It could offer value to patients, physicians and payors. This allows pharma to address challenges and evolve their business model by demonstrating value, accessing physicians and providing value to payors.
New Revolution in Healthcare — Digital Health.pdfinsightscare
Digital health technologies are transforming healthcare by detecting and treating illnesses early through tools like wearable devices, telehealth, and personalized medicine. This transformation allows for more efficient, tailored, and affordable healthcare delivery. While digital health improves access and healthcare outcomes, challenges remain around data sharing and privacy, as well as ensuring equal digital access. Emerging trends in digital health include telemedicine, wearable devices, robotic surgery, 3D bioprinting, and augmented reality, all of which are improved by technologies like cloud computing, big data analysis, and 5G networks.
Providers need to move towards real-time analytics that have become critical to demonstrate their quality of care, as reimbursement by government programs can be contingent upon how providers are measured in “Quality of Care”. For example, the Medicare Access and CHIP Reauthorization Act (MACRA) of 2015, also called the Permanent Doc Fix, changes the way Medicare doctors are reimbursed with the implementation of a merit based incentive. The performance-based pressure is huge, which makes it imperative that every provider consider technology solutions. Read more at https://www.solix.com/solutions/data-driven-solutions/healthcare/
This document discusses the myths and benefits of electronic informed consent (eConsent) compared to traditional paper consenting. It addresses 10 common myths, including that eConsent is not secure, participants prefer paper, and eConsent is less efficient than paper. The document argues that eConsent improves the consent process by increasing quality and consistency, improving participant understanding and experience, and reducing costs and regulatory findings compared to paper consenting. It provides examples of how eConsent can save significant costs by improving recruitment, retention, and reducing overall study timelines.
eConsent (electronic informed consent) adoption is on the rise!
100% of the Top 10 and 88% of the Top 25 Pharma have implemented eConsent - What's driving their adoption?
Learn more in our new infographic "14 Drivers of eConsent Adoption in Clinical Trials"
Using eConsent in Clinical Research to Support Patient Understanding and WelfareCRF Health
Deciding to participate in a clinical trial is not risk-free for any participant. Some studies are designed for healthy volunteers and some are designed for participants with certain medical conditions.
Care Beyond Walls and Wires: Using Remote Monitoring to Enhance Patient CareCRF Health
About half of all adults in the US—117 million people—have one or more chronic health conditions, and the number is on the rise.1
In order to address this growing challenge, the Care Beyond Walls and Wires (CBWW) program was created to increase access to care and improve outcomes for patients suffering from chronic disease.
A collaboration between Qualcomm® Wireless Reach™, Northern Arizona Healthcare (NAH), Qualcomm Life, Inc., and Entra Health Systems, CBWW began as a congestive heart failure remote monitoring program.
Started in 2011, CBWW utilizes 3G/4G mobile broadband with connected home-use medical devices to enable nursing care coordinators to remotely monitor patients. As of 2017 the program is expanding to cover more patients with other chronic or high-risk conditions such as sepsis (blood poisoning from infection). The program aims to extend the delivery of care beyond the walls of hospitals by giving patients the tools to stay connected to providers – anytime, anywhere.
eConsent: Five (5) Key Areas of Preparation CRF Health
Site recruitment and retention of an adequate study population remains a major determinant of the success of a clinical trial. A recent survey to gather opinions on informed consent related to participant understanding, subject recruitment, and retention from 105 respondents' across site-based roles revealed 5 key areas that all sites should consider when preparing an eConsent.
Drivers of Remote Patient Monitoring (RPM)CRF Health
Remote patient monitoring devices that track patient data and send it to doctors can help patients better manage their conditions. Half of US hospitals now use telemedicine. One remote patient monitoring program saw a 75% reduction in hospital readmissions. The cost of healthcare in the US is expected to rise significantly by 2020 and 2030, but increased use of remote patient monitoring may save $200 billion over 25 years by improving care, enhancing patient satisfaction, and reducing costs.
Recruitment & Retention: Breaking Down the Barriers to eConsent AdoptionCRF Health
Informed consent is traditionally obtained through lengthy paper processes, but electronic informed consent (eConsent) offers improvements. eConsent uses multimedia to securely obtain and document informed consent, providing clear audit trails and version control. It facilitates participant comprehension and retention of study details. While sponsors are wary of new technologies, eConsent streamlines processes, provides oversight benefits, and aligns with regulators' views that consent should be an educational tool throughout a study. Integrating eConsent requires identifying practical solutions, but its rewards will contribute to improved outcomes in clinical trials.
Case Study: World's Largest COPD eCOA Trial Requires Reliability and Global S...CRF Health
CRF Health and its TrialMax® eCOA platform were adopted by a top 50 global pharmaceutical manufacturer to support one of the largest recorded phase III studies in chronic obstructive pulmonary disease (COPD). The trial, involving more than 19,000 patients in 35 countries, leveraged TrialMax® to deliver electronic versions of key COPD instruments, enabling investigators to monitor exacerbations while making compliance as easy as possible for patients.
With almost half of oncology studies failing due to a lack of patient retention, there is a critical need to develop more efficient and patient focused strategies. Jessica Thilaganathan at CRF Health sits down with International Clinical Trials to explain why electronic clinical outcome solutions could be the answer. (Published with permission of International Clinical Trials).
Capturing Patient-Reported Outcome (PRO) Data Electronically: The Past, Prese...CRF Health
Patient-reported outcomes (PROs) are an
important means of evaluating the treatment benefit of
new medical products. It is recognized that PRO measures
should be used when assessing concepts best
known by the patient or best measured from the patient’s
perspective. As a result, there is growing emphasis on
well defined and reliable PRO measures. In addition,
advances in technology have significantly increased
electronic PRO (ePRO) data collection capabilities and
options in clinical trials. The movement from paperbased
to ePRO data capture has enhanced the integrity
and accuracy of clinical trial data and is encouraged by
regulators. A primary distinction in the types of ePRO
platforms is between telephone-based interactive voice
response systems and screen-based systems. Handheld
touchscreen-based devices have become the mainstay for
remote (i.e., off-site, unsupervised) PRO data collection
in clinical trials. The conventional approach is to provide
study subjects with a handheld device with a devicebased
proprietary software program. However, an
emerging alternative for clinical trials is called bring
your own device (BYOD). Leveraging study subjects’
own Internet-enabled mobile devices for remote PRO
data collection (via a downloadable app or a Web-based
data collection portal) has become possible due to the
widespread use of personal smartphones and tablets.
However, there are a number of scientific and operational
issues that must be addressed before BYOD can be
routinely considered as a practical alternative to conventional
ePRO data collection methods. Nevertheless,
the future for ePRO data collection is bright and the
promise of BYOD opens a new chapter in its evolution.
Equivalence of Electronic and Paper Administration of Patient-Reported Outcom...CRF Health
Objective
To conduct a systematic review and meta-analysis of the equivalence between electronic and paper administration of patient reported outcome measures (PROMs) in studies conducted subsequent to those included in Gwaltney et al’s 2008 review.
Methods
A systematic literature review of PROM equivalence studies conducted between 2007 and 2013 identified 1,997 records from which 72 studies met pre-defined inclusion/exclusion criteria. PRO data from each study were extracted, in terms of both correlation coefficients (ICCs, Spearman and Pearson correlations, Kappa statistics) and mean differences (standardized by the standard deviation, SD, and the response scale range). Pooled estimates of correlation and mean difference were estimated. The modifying effects of mode of administration, year of publication, study design, time interval between administrations, mean age of participants and publication type were examined.
Poster: Spirometer and eDiary Integration for Asthma TrialsCRF Health
An electronic asthma diary was developed with integrated spirometer functionality to reduce patient burden in asthma clinical trials. Feedback from sites and sponsors was used to refine the diary which can now directly transfer peak expiratory flow and forced expiratory volume measurements from a spirometer via Bluetooth. The streamlined diary led to high compliance rates of 88-92% in multiple global asthma studies and allows sites to remotely monitor patients' conditions between visits.
Poster: Equivalence of Electronic and Paper Administration of PROCRF Health
This systematic review and meta-analysis found high levels of equivalence between electronic and paper administration of patient-reported outcome measures (PROs). 435 correlations between paper and electronic versions showed good agreement (pooled correlation = 0.88). 355 estimates of mean differences between versions were also small (mean = 1.8% of scale score). Moderator analyses found greater agreement for more recent studies, randomized designs, shorter time intervals between versions, and older participant ages. The review concludes that PRO data from electronic and paper versions are comparable, supporting use of electronic administration in clinical trials and research.
Poster: Test-Retest Reliability and Equivalence of PRO MeasuresCRF Health
This literature review examined administration intervals used in test-retest reliability and equivalence studies for patient-reported outcome measures. The review found a large variance in intervals, ranging from immediate to 7 years for test-retest studies and from immediate to 1 month for equivalence studies. The most common intervals were 2 weeks for test-retest studies and 1 hour or less for equivalence studies. Intervals varied depending on the medical condition and type of study, with shorter intervals used for equivalence studies compared to test-retest studies for the same conditions.
Poster: eCOA Best Practices in Diabetes Clinical TrialsCRF Health
1) Managing diabetes involves regular blood glucose monitoring, tracking meals and insulin usage, which clinical trials seek to capture along with other patient-reported outcomes. This complexity can increase patient burden and lower compliance.
2) CRF Health created an electronic diabetes diary designed to limit additional burden on patients while accurately collecting needed clinical data. Usability testing found it less burdensome than paper methods.
3) Feedback from patients and sponsors identified challenges in diabetes data capture. CRF Health addressed these through design iterations informed by patient input, resulting in an intuitive interface that integrated glucose readings into event-based reporting.
Patient Compliance, ePRO and the Role of the CaregiverCRF Health
Sponsor companies are increasingly requiring methods like electronic patient-reported outcomes (ePRO) to ensure accurate and timely data collection from patients in drug trials. ePRO systems, like electronic diaries (eDiaries), have been shown to improve patient compliance compared to paper-based methods. eDiaries allow for real-time data entry and monitoring of compliance. ePRO can collect data from both patients and their caregivers, such as in pediatric studies or diseases affecting motor or cognitive function. Contrary to assumptions, the elderly and caregivers of children often have high compliance rates when using ePRO systems. Proactive eDiary design with simple questions, reminders and monitoring can help maintain compliance for diverse patient populations and study types.
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TEST BANK FOR Health Assessment in Nursing 7th Edition by Weber Chapters 1 - ...rightmanforbloodline
TEST BANK FOR Health Assessment in Nursing 7th Edition by Weber Chapters 1 - 34.
TEST BANK FOR Health Assessment in Nursing 7th Edition by Weber Chapters 1 - 34.
TEST BANK FOR Health Assessment in Nursing 7th Edition by Weber Chapters 1 - 34.
Michigan HealthTech Market Map 2024. Includes 7 categories: Policy Makers, Academic Innovation Centers, Digital Health Providers, Healthcare Providers, Payers / Insurance, Device Companies, Life Science Companies, Innovation Accelerators. Developed by the Michigan-Israel Business Accelerator
The facial nerve, also known as cranial nerve VII, is one of the 12 cranial nerves originating from the brain. It's a mixed nerve, meaning it contains both sensory and motor fibres, and it plays a crucial role in controlling various facial muscles, as well as conveying sensory information from the taste buds on the anterior two-thirds of the tongue.
International Cancer Survivors Day is celebrated during June, placing the spotlight not only on cancer survivors, but also their caregivers.
CANSA has compiled a list of tips and guidelines of support:
https://cansa.org.za/who-cares-for-cancer-patients-caregivers/
Gemma Wean- Nutritional solution for Artemiasmuskaan0008
GEMMA Wean is a high end larval co-feeding and weaning diet aimed at Artemia optimisation and is fortified with a high level of proteins and phospholipids. GEMMA Wean provides the early weaned juveniles with dedicated fish nutrition and is an ideal follow on from GEMMA Micro or Artemia.
GEMMA Wean has an optimised nutritional balance and physical quality so that it flows more freely and spreads readily on the water surface. The balance of phospholipid classes to- gether with the production technology based on a low temperature extrusion process improve the physical aspect of the pellets while still retaining the high phospholipid content.
GEMMA Wean is available in 0.1mm, 0.2mm and 0.3mm. There is also a 0.5mm micro-pellet, GEMMA Wean Diamond, which covers the early nursery stage from post-weaning to pre-growing.
This particular slides consist of- what is hypotension,what are it's causes and it's effect on body, risk factors, symptoms,complications, diagnosis and role of physiotherapy in it.
This slide is very helpful for physiotherapy students and also for other medical and healthcare students.
Here is the summary of hypotension:
Hypotension, or low blood pressure, is when the pressure of blood circulating in the body is lower than normal or expected. It's only a problem if it negatively impacts the body and causes symptoms. Normal blood pressure is usually between 90/60 mmHg and 120/80 mmHg, but pressures below 90/60 are generally considered hypotensive.
Letter to MREC - application to conduct studyAzreen Aj
Application to conduct study on research title 'Awareness and knowledge of oral cancer and precancer among dental outpatient in Klinik Pergigian Merlimau, Melaka'
Unlocking the Secrets to Safe Patient Handling.pdfLift Ability
Furthermore, the time constraints and workload in healthcare settings can make it challenging for caregivers to prioritise safe patient handling Australia practices, leading to shortcuts and increased risks.
Get Covid Testing at Fit to Fly PCR TestNX Healthcare
A Fit-to-Fly PCR Test is a crucial service for travelers needing to meet the entry requirements of various countries or airlines. This test involves a polymerase chain reaction (PCR) test for COVID-19, which is considered the gold standard for detecting active infections. At our travel clinic in Leeds, we offer fast and reliable Fit to Fly PCR testing, providing you with an official certificate verifying your negative COVID-19 status. Our process is designed for convenience and accuracy, with quick turnaround times to ensure you receive your results and certificate in time for your departure. Trust our professional and experienced medical team to help you travel safely and compliantly, giving you peace of mind for your journey.
2. The healthcare market is divided based on application of
IoE: patient monitoring, telehealth, medical/clinical trial
operations, medication management and connected
imaging. Before integration and the rise of IT, data would be
collected from a patient once or twice a month in a trial.
With new technologies, data have the potential to be
continually collected, for instance with glucose or blood
pressure measurements. While integrating sensors and
devices in clinical trials results in more data, the challenge
may come in evaluating the sheer volume of data to identify
if a drug is achieving its targets for safety and efficacy.
A fundamental goal of any technological advancement in
the clinical trial arena must be to improve data collection by
removing the barriers between intimate patient experiences
and the technology designed to capture them. The ability
to collect data directly from medical devices reinforces this
philosophy. One obvious way to get the cleanest, highest
quality patient reported outcome (PRO) data is by getting
closer to the patients. Despite the perceived challenges,
other highly regulated industries, such as banking, are now
welcoming the IoE and there are significant learnings from
their strategies.
Optimising Processes
For clinical trials that are accepting digital technologies,
an IoE-enabled system is a pioneering way to move
forward. The industry is under pressure to make drug
development more efficient, increase productivity and
reduce costs. Therefore, using the appropriate technology
to optimise the process is fundamental. Through
inventive technology, a thorough understanding of drug
development and mobile computing, there is a chance to
drive the change to higher quality outcomes and more
efficient paper-free trials.
www.samedanltd.com l ICT 21
Figure 1: Cycle of perceived challenges in adopting an IoE strategy
Determining clear
endpoints
Concern from
sponsors and CROs
around patient
privacy
Obstacles around
network and
device security
Equal access to
technology remains
a challengeIncreased
volumes of data
present logistical
hindrances
Ensuring the
correct assessment
protocol for
collected data
How to analyse
data
Through inventive technology, a thorough
understanding of drug development and mobile computing,
there is a chance to drive the change to higher quality outcomes
and more efficient paper-free trials
3. 22 ICT l www.samedanltd.com
From a clinical trial perspective, the benefits and outcomes
of an IoE-enabled system may include more real world data;
higher quality, objective data; remote access; and real time
analysis, as demonstrated in Table 1.
Putting Patients First
The philosophy of IoE will allow investigators to make the
most of new opportunities to acquire richer, more useful data
that better meets the demands of today’s clinical trials. The
opportunity for end-to-end integration is vast, but thought
must be given to implementation and data management
to accomplish the ultimate aspiration: revolutionising
patient experience.
A patient-centric approach to clinical research is often a
key priority of trial design. Gaining insight into the patient
experience during a study has grown in importance over
time, with stakeholders increasingly understanding the fact
that patients are the true experts in their own symptoms and
experience of a disease and treatment. The 2009 FDA document
Patient-Reported Outcome Measures: Use in Medical Product
Development to Support Labeling Claims has helped cement this
focus on accessing the patient perspective (5). However, the
relative importance of PRO data, as judged by their inclusion
in clinical trials, seems to vary by therapeutic area.
For individual patient experience, the IoE brings ease-of-
use and increased patient focus. The capacity to advance
methods of maintaining patient safety and trial integrity could
be attained using a data-led approach to manage patients
and respond to adverse events. The capability to constantly
monitor patients may also help subjects to feel safer.
Simultaneously, investigators can gather information in near
real time to intervene at the first sign of potential harm.
The real time possibilities of an IoE system may enable
better participation (in the form of engagement) from trial
participants. A discernible benefit of an IoE approach is
the promise of redefining patient recruitment by helping
to identify patients that are most suited to a trial protocol.
New software may also enable investigators to connect with
patients in any location, significantly increasing the number
of patients enrolled in a trial.
Supplementary benefits include reducing inconvenience and
burden placed on the patient, as informative data with far-
reaching insights can more easily be collected from patients
via connected devices, including wearables and sensors.This not
only increases patient retention, but also patient adherence to
trial protocols. For the length of a trial, data can be continually
collected, offering a constant approach to proactive patient
monitoring and management.
Building on Current Approaches
Capturing data in real time, minimising site visits and remote
patient monitoring have already proved their worth in
clinical trials. As an example, patient-centric eCOA solutions
are already in place to support flexibility and compliance
in major global diabetes trials covering 700 investigative
sites and 3,250 patients. These solutions are developed with
clinicians and patients to optimise usability and compliance,
enabling investigators to collect PRO assessments and deliver
defensible data, while minimising patient and site burden.
Such technology offers complete integration between patient
eDiary entry and blood glucose measurements. eDiaries lead
patients through data collection in an intuitive and fast way
and easily fit into their lives while providing more compliant
data, as well as increased patient retention. The eDiary can
then seamlessly integrate with a wireless glucometer, enabling
automatic transfer of measurements to a patient's eDiary.
Such integration ensures complete and accurate data
while reducing the risk of transcription errors. Alerts and
notifications can also be set up to remind patients to take
their medication and test their blood glucose level,
simultaneously providing new basal dose directions from the
physician in between site visits. Sites are also made aware
of hypoglycemic events via email or SMS in near real time,
which provides greater opportunity to take appropriate
clinical action. This type of technology also benefits from the
ability to integrate with other instruments, allowing sponsors
to electronically incorporate common diabetes devices into
Real world data • For deeper insight into new
drug responses
• Can now be collected due
to the digitalisation of
clinical data collection
and surrounding processes
Better data quality • Due to more accurate and
continuous patient
management
Remote access •Wireless wearables, medical
devices, sensors and
mobile applications allow
investigations to remotely
collect activity information
and key biometrics
Real time analysis • Data can be collected and
analysed automatically
• Removes the need for any
manual input of data
Real time objective data • Activity measures, weight,
temperature and heart rate
can be combined with
subjective data collection
–(electronic clinical
outcomes assessments(eCOA))
Table 1: Benefits of adopting an IoE strategy in clinical trials
4. 24 ICT l www.samedanltd.com
the solution. Moving beyond this example, the IoE takes
integration to a new level. Complete home health monitoring
platforms would enable remote observation of both clinical
trial and non-trial patient populations across a variety of
therapeutic areas, as well as post-surgical, preventative and
chronic care. Early adopters will potentially see the biggest
rewards and stand to achieve a competitive advantage.
In action, there is real merit from being able to integrate, for
example, a tablet with activity trackers, body weight scales,
blood pressure monitors, thermometers, pulse oximeters,
glucose meters, electrocardiograms, spirometers and inhalers
to gather and collate real time data. It gives patients freedom
and flexibility and allows healthcare providers to improve staff
efficiencies, shorten hospital stays and adopt a more holistic
approach to managed care.
Where DoWe Go From Here?
A new era of mobile, digital and wearable devices has marked
a shift in the way technology permeates our everyday lives.
The line between clinical trials and digital health is no longer
distinctly noticeable, with clinical technology companies
utilising digital health to improve clinical trials for the
better. Figure 2 highlights several factors to consider when
contemplating the adoption of an IoE approach in trials:
Connecting medical, wellness, wearable and implantable
devices, sensors and applications to a healthcare system via the
internet presents vast, new opportunities for clinical trials. A vital
component of an IoE approach for the clinical trials industry may
be the implementation of a holistic electronic solution, which
considers both the patients’and sites’experience of providing
data, thus reducing the barriers to capturing high-quality data
and improving the study experience and outcomes for all
stakeholders.Technologically advanced digital health solutions,
including eCOA platforms for clinical trials, and real time online
Richard Strobridge is Vice President
of Healthcare at Entra Health, a CRF
company, and is a recognised expert
in healthcare information technology,
medical imaging systems and medical
technology integration. Throughout his
career, he has specialised in healthcare
delivery and organisational process improvement through
the use of telecommunications and information technology.
Richard is a pioneer in integrated voice/video/data
networking, videoconferencing and distance learning. He
implemented some of the first video networks in the US, and
his career includes many firsts in the video networking field.
Richard is a graduate of Colgate University in New York, US.
Email: hello@crfhealth.com
About the author
data collection portals for the healthcare market give clinicians
real time visibility of data, allowing them to proactively monitor
and manage information on their patients’conditions, improving
care and long-term outcomes.The possibility to bring different
solutions together will extend the connectivity of the available
technology, playing a vital role in the vision of making the patient
the centrepiece of the healthcare and clinical trial process.
References
1. Visit: www.forbes.com/sites/tjmccue/2015/04/22/117-billion-market-
for-internet-of-things-in-healthcare-by-2020/#3b86656d69d9
2. Visit: blogs.gartner.com/smarterwithgartner/files/2015/03/
Top10TechTrends.png
3. Visit: www.grandviewresearch.com/industry-analysis/internet-of-
things-iot-healthcare-market?gclid=CIrnm_e5-M4CFY0aGwod4igD-Q
4. Visit: internetofeverything.cisco.com/sites/default/files/docs/en/
ioe_public_sector_vas_white%20paper_121913final.pdf
5. Visit: www.fda.gov/downloads/drugs/guidances/ucm193282.pdf
2. Highlight
specific
requirements
for ongoing
management
3. Adopt a proven
strategy. Clinical
trial sponsors and
CROs may need
to rely on the
experience offered
by providers that
have established
ways of working
with an IoE
approach
4. Key
considerations
must be given to
evaluating audit
requirements,
validation issues
and data security
5. Utilise remote
patient monitoring
solutions to
take research
beyond dedicated
investigative sites
by using sensors
and devices to
capture a stream
of data from a
patient’s daily life
Figure 2: Five steps to adopting an IoE approach in clinical trails
1. Develop a clear
understanding of
how to implement
the theory