This webinar, held Jan. 26, 2011, served to inform and engage the five current Project HealthDesign teams around legal and policy topics involved when clinicians communicate with patients via mobile devices.
Smartphones have radically changed medicine by giving doctors access to medical information, records, and colleagues from any location. Apps allow remote monitoring of patients and diagnostics like ECG readings. As sensors and artificial intelligence improve, smartphones will take on more medical roles like monitoring organs and managing chronic conditions. While technology expands access to care, doctors will still be needed for human touch, guidance, and complex treatments. Overall, smartphones are transforming healthcare by connecting doctors, patients, and data in new ways.
Webinar: Innovations in Mobile Health: Highlights and Future DirectionsHHS Digital
Mobile health (mHealth) refers to the use of mobile technologies like mobile phones and tablets for health services and information access. The document summarizes key mHealth activities within the US Department of Health and Human Services (HHS), including the formation of text messaging and mobile application task forces. It provides examples of HHS-supported mHealth tools like health texting programs and mobile apps. The document also discusses important issues for future mHealth development such as defining mHealth, scaling successful pilots, regulation, privacy, and funding mechanisms.
The document discusses the use of smartphones in medical practice. It begins by asking doctors if they currently use smartphones and if they think smartphones could be beneficial. It then outlines the history and evolution of smartphones from early devices to modern smartphones with numerous features.
The document details many current and potential future uses of smartphones in medicine, including using smartphone apps and attachments to function as medical devices like stethoscopes, pulse oximeters, and ECG monitors. It also discusses how smartphones can be used for communication, research, education and reference. The take home message is that smartphones will increasingly help doctors and act as good companions in the future as technology advances, allowing more precise treatment and monitoring of patients.
Internet of Things (IoT) has wide applications in the healthcare sector. It allows for real-time patient monitoring and analysis from remote locations using sensors and devices. IoT improves various areas of hospital operations like patient tracking, hygiene maintenance, record keeping, smart equipment, billing and procurement. However, IoT also faces challenges like privacy concerns, high costs, lack of standards and need for regulations. If these challenges are addressed, IoT has potential to transform healthcare delivery and outcomes in the future.
Wearable medical devices can capture health data in real-time through smart watches, glasses and fabrics. They can monitor parameters like glucose, ECG, blood pressure and pulse oximetry. The market for wearable technology is divided into fitness/wellness, entertainment, healthcare and industrial categories. Healthcare devices are more advanced than fitness trackers and include brainwave monitoring headsets and sensor-embedded clothing. Wearable devices are growing in India, especially among urban populations, but rural adoption faces challenges like lack of knowledge, higher prices and distribution problems.
This document discusses mobile medicine. Mobile medicine uses mobile communication devices like smartphones to diagnose diseases. It is beneficial because most people now own mobile phones, which provide easy access to medical information anywhere. Examples of mobile medicine applications discussed are medical apps, a smoking cessation app called Q Sense, a sleep monitoring device called Sleep Sense, mobile ECG and ultrasound devices, and a diabetes glucose monitor called Dario. The conclusion is that mobile medicine can help improve health by making diagnosis and health monitoring more accessible.
This document proposes the development of a mobile app called "Techno-Hospital" to help people in India better manage their medical records and reduce wasted time at hospitals. The app would allow users to store all medical prescriptions, reports, and surgery details in one online database accessible from any device. It would also send notifications when blood donations are urgently needed and provide estimated wait times at hospitals. Developing the app would help ensure people receive proper treatment, save lives in emergencies, and reduce time wasted waiting at hospitals. The document outlines the proposed system, technical and economic feasibility, requirements, challenges, and solutions for creating the app.
Smartphones have radically changed medicine by giving doctors access to medical information, records, and colleagues from any location. Apps allow remote monitoring of patients and diagnostics like ECG readings. As sensors and artificial intelligence improve, smartphones will take on more medical roles like monitoring organs and managing chronic conditions. While technology expands access to care, doctors will still be needed for human touch, guidance, and complex treatments. Overall, smartphones are transforming healthcare by connecting doctors, patients, and data in new ways.
Webinar: Innovations in Mobile Health: Highlights and Future DirectionsHHS Digital
Mobile health (mHealth) refers to the use of mobile technologies like mobile phones and tablets for health services and information access. The document summarizes key mHealth activities within the US Department of Health and Human Services (HHS), including the formation of text messaging and mobile application task forces. It provides examples of HHS-supported mHealth tools like health texting programs and mobile apps. The document also discusses important issues for future mHealth development such as defining mHealth, scaling successful pilots, regulation, privacy, and funding mechanisms.
The document discusses the use of smartphones in medical practice. It begins by asking doctors if they currently use smartphones and if they think smartphones could be beneficial. It then outlines the history and evolution of smartphones from early devices to modern smartphones with numerous features.
The document details many current and potential future uses of smartphones in medicine, including using smartphone apps and attachments to function as medical devices like stethoscopes, pulse oximeters, and ECG monitors. It also discusses how smartphones can be used for communication, research, education and reference. The take home message is that smartphones will increasingly help doctors and act as good companions in the future as technology advances, allowing more precise treatment and monitoring of patients.
Internet of Things (IoT) has wide applications in the healthcare sector. It allows for real-time patient monitoring and analysis from remote locations using sensors and devices. IoT improves various areas of hospital operations like patient tracking, hygiene maintenance, record keeping, smart equipment, billing and procurement. However, IoT also faces challenges like privacy concerns, high costs, lack of standards and need for regulations. If these challenges are addressed, IoT has potential to transform healthcare delivery and outcomes in the future.
Wearable medical devices can capture health data in real-time through smart watches, glasses and fabrics. They can monitor parameters like glucose, ECG, blood pressure and pulse oximetry. The market for wearable technology is divided into fitness/wellness, entertainment, healthcare and industrial categories. Healthcare devices are more advanced than fitness trackers and include brainwave monitoring headsets and sensor-embedded clothing. Wearable devices are growing in India, especially among urban populations, but rural adoption faces challenges like lack of knowledge, higher prices and distribution problems.
This document discusses mobile medicine. Mobile medicine uses mobile communication devices like smartphones to diagnose diseases. It is beneficial because most people now own mobile phones, which provide easy access to medical information anywhere. Examples of mobile medicine applications discussed are medical apps, a smoking cessation app called Q Sense, a sleep monitoring device called Sleep Sense, mobile ECG and ultrasound devices, and a diabetes glucose monitor called Dario. The conclusion is that mobile medicine can help improve health by making diagnosis and health monitoring more accessible.
This document proposes the development of a mobile app called "Techno-Hospital" to help people in India better manage their medical records and reduce wasted time at hospitals. The app would allow users to store all medical prescriptions, reports, and surgery details in one online database accessible from any device. It would also send notifications when blood donations are urgently needed and provide estimated wait times at hospitals. Developing the app would help ensure people receive proper treatment, save lives in emergencies, and reduce time wasted waiting at hospitals. The document outlines the proposed system, technical and economic feasibility, requirements, challenges, and solutions for creating the app.
This document proposes using wearable devices and Bluetooth beacons to track the location of dementia patients within senior living facilities. By creating a handshake between the wearable devices and strategically placed beacons, caregivers could monitor patients' real-time locations and receive alerts if a patient leaves a restricted area or removes their device. This system could reduce costly search operations when patients wander by 55-65%, saving an estimated $48 million for the company over three years. In addition to financial benefits, the system would provide peace of mind to caregivers and patients' families by allowing constant monitoring and faster emergency response.
IT is playing a key role in tackling the COVID-19 pandemic through various technologies:
1. Remote health monitoring, telemedicine, and chatbots allow virtual doctor visits and patient engagement while maintaining social distancing.
2. AI and machine learning are used to track, monitor, and predict the spread of the virus through tools like contact tracing apps and analysis of medical images and data.
3. Digital technologies help distribute reliable health information and ease anxiety through online wellness apps.
This document discusses 10 new medical gadgets and apps that are changing the practice of medicine. It summarizes each technology, including video consults using smartphones, tablet computers like the iPad being used by physicians, speech recognition programs for documentation, handheld ultrasound devices replacing stethoscopes, "smart bandages" with sensors replacing Holter monitors, unified communication devices replacing pagers, smartphone apps turning phones into medical devices, automated medication adherence tools, electronic medical references on mobile devices, and social networking sites for physicians and patients. These technologies are making medical care more mobile, digital, and connected.
This presentation contains an introduction to emerging healthcare Technologies. These emerging technologies include Data Analytics, AI, Blockchain, Telehealth, virtual reality, cloud computing, and IOT. The concept of Nanorobots as future medicine is also included in this presentation.
Top IoT Applications in a Connected Healthcare IndustryPixel Crayons
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This document describes a major project presented by four students - Sangeetha, Srikanth Yadhav, Suraj, and Yathesa - at Dr. Ambedkar Institute of Technology. The project involves developing a wearable band to monitor COVID-19 patients. Key aspects of the project include continuously monitoring a patient's temperature, heart rate, blood oxygen levels and location using sensors. If any sensor readings exceed thresholds, a notification will be sent to the treating physician. The goal is to allow early detection of worsening conditions so physicians can provide timely treatment. The document outlines the existing system, proposed system, literature review, requirements, architecture, advantages and work completed.
Wearable technology role in respiratory health and diseasessusera8803c
Wearable biomedical sensors and body area networks will allow continuous monitoring of physiological parameters under natural conditions. This will enable personalized healthcare by capturing data from devices like smartwatches and clothing. Four areas of interest for respiratory health are discussed: pulse oximetry to monitor oxygen levels, sensors to assess pulmonary ventilation by measuring breathing rate and volume, activity trackers, and devices to evaluate air quality. While challenges remain, wearable technologies provide opportunities for personalized respiratory medicine in areas like monitoring, diagnosis and treatment.
The document discusses the increasing use of smartphones in medicine by physicians, medical students, and patients. It provides examples of smartphone apps that can be used for patient care and monitoring, communication between healthcare providers, medical education and reference. Some apps allow remote monitoring of vital signs, video consultations, and medical imaging. Effective use of smartphones requires addressing issues of privacy, professionalism, and conflicts of interest. Guidelines are needed on selecting apps that are accurate, regularly updated, and produced by reputable sources.
These slides use concepts from my (Jeff Funk) course entitled analyzing hi-tech opportunities to analyze the increasing economic feasibility of wearable electronics in health care applications. Rapid improvements in sensors, integrated circuits, transceivers, displays, mobile phones, and wireless networks are causing the cost to fall and the performance to rise for wearable applications. These slides analyze hand, head, and body worn electronics in detail including smart watches, wrist and finger devices, smart glasses and textiles, patches, and foot and arm wear. They also analyze a wide variety of sensors for collecting healthcare information including inertial, bio, chemical, and haptic sensors.
The Power of Social in health and healthcareD3 Consutling
This document summarizes key points about the power of social networks in health and healthcare. It discusses how social media is increasingly important for patients and providers. Patients are using social platforms to find support from others experiencing similar health issues and to learn about new treatments. Some healthcare providers are effectively using social media to engage patients and share medical expertise. The document also describes several digital health startups that are connecting patients, caregivers, and medical professionals through social platforms to improve health outcomes.
This document proposes a mobile health (mHealth) architecture for low-cost applications that run on existing mobile devices used by frontline health workers in developing countries. The design aims to be frugal and simple. It includes developing local applications that run on health workers' phones to aid daily tasks, and extending phone capabilities with low-cost external sensor modules for measurements like pulse oximetry, ECG, and phonocardiography. Prototypes include apps for respiratory/pulse counting, gestational dating, drug dosing, drip rates, and medication reminders. The system integrates these tools to help address resource constraints in developing world healthcare.
Innomantra viewpoint vital sign monitors covid 19 v1.0FF July 2020Innomantra
SUMMARY
The COVID-19 pandemic has generated an unprecedented health crisis world-wide. Remote monitoring of COVID-19 patients is a crucial requirement since this enables continuous patient monitoring without compromising the safety of the health care provider. Remote monitoring using wearables can be obtrusive and uncomfortable for the user, especially when used for long periods of time. Advances in wireless transmission systems and signal processing have enabled researchers to monitor vital signs by analysing characteristics of wireless signals that have reflected off of the subject. Wireless signals for sensing vital signs has been developed since 2015 but there are still significant challenges to be overcome. One of the challenges in using wireless signals to monitor vital signs is that any motion in the environment affects the signal. Furthermore, the presence of multiple users prevents systems from operating error free, even if the users are stationary.
The key player in the wireless vital signs monitoring is MIT’s Emerald Innovations with its wireless sensing technology that monitors breathing and heart rate without body contact. Another player is Origin Wireless with its Origin Health, that enables accurate respiratory, monitoring at home without intrusive wearables. ResMed and Microsoft/University of Washington are other players that have developed wireless vital signs monitoring technology. But they do not seem to be commercializing their technology for COVID-19. Though there are some developments in wireless vital signs technology, there are significant opportunities for other players to innovate. Interference, Patient Movements and multiple user differentiation are some of the problems that need to be addressed to improve the accuracy and sensitivity. The remote vital signs monitoring market is projected to reach US$31.326 billion by the end of 2023 and will become increasingly important and ubiquitous.
Ambient intelligence (AmI) refers to digital environments that are sensitive, adaptive, and responsive to human presence and needs. AmI aims to enhance safety and quality of life through networked sensors and devices that recognize users and adapt environments accordingly. Key technologies enabling AmI include ubiquitous computing, ubiquitous interfaces, and ubiquitous communications. Major applications of AmI include healthcare monitoring, public transportation, education, emergency services, and production monitoring through technologies like sensors, RFID, affective computing, and biometrics. While AmI promises benefits, challenges include high costs, ensuring user acceptance, and addressing security and privacy risks.
The Evolution of Wearable M-Health Applications - Mobile Health Expo New York...Ofer Atzmon
This document discusses the evolution of wearable mobile health applications. It defines wearable systems as integrating embedded non-invasive sensors, intelligent processing, and wireless communications to enable remote patient monitoring. Examples of recent products and research include smart garments, body area networks, and devices that monitor physiological and environmental parameters. While wearable systems face challenges in size, comfort and power consumption, advances in technology are making them more practical for both healthcare and consumer fitness applications.
Mobile MIM allows physicians to view medical imaging scans from other locations on mobile devices like iPads and iPhones. Images from CT, MRI, and nuclear scans can be compressed and securely transmitted to these mobile devices for viewing, but not traditional X-rays which require higher resolution. The app retrieves images from medical image storage servers and features tools like zooming and adjusting window levels. It provides portable access to diagnostic images equivalent to viewing them on workstation computers.
The document describes a smart healthcare monitoring system for independent living. Some key points:
- The system collects data from sensors monitoring daily living activities, physiological signals, and the environment to determine a person's wellness and ability to live independently.
- Sensors are deployed throughout the home to monitor activities like using appliances, mobility, and vital signs. The data is analyzed to recognize patterns and forecast wellness.
- Wellness is determined based on indices measuring inactive time and excess usage of appliances. The indices are improved over time using dynamic thresholds.
- Patterns in sensor activity are analyzed to detect irregular behaviors that could indicate issues. Forecasting is used to predict daily activities and identify deviations.
A Healthcare Monitoring System Using Wifi ModuleIRJET Journal
This document presents a healthcare monitoring system using WiFi modules. The system uses sensors like a temperature sensor and heart rate sensor connected to an Arduino microcontroller to monitor patients' vital signs. The sensor data is sent wirelessly to a monitoring center using a WiFi module. Doctors can access the continuously recorded medical data to diagnose patients remotely. The system aims to provide constant monitoring without confining patients to beds and reduce human errors in manual data logging. It allows for broader use among patients, medical professionals and in rural areas with limited access to healthcare.
IRJET- Virtual Assistant for Medical EmergencyIRJET Journal
The document describes a proposed virtual assistant for medical emergencies using IoT. The system would involve a wearable device like a wristband with sensors to monitor vital signs. If the signs indicate a medical emergency, the device would alert emergency services and provide the patient's medical history. It would also notify family members. The system aims to reduce response times in medical emergencies to improve outcomes. Key challenges include accurately detecting emergencies, secure data transmission, and avoiding false alarms. The proposed solution involves continuous health monitoring, emergency detection and response, automatic medical history access in emergencies, and location tracking to direct responders.
The document discusses trends in health and fitness driven by data and empowered users. Key developments include growth in mobile health apps and devices for self-tracking. This is changing the relationship between patients and providers, with patients taking more responsibility for their health by tracking personal data and managing their conditions. Developing effective software and hardware in this environment requires addressing challenges like privacy and motivating behavior change while empowering users.
A report on macro trends relating to health technology, produced in a one-day topic sprint by the members of KANT Berlin: Alper Çuğun, Chris Eidhof, Martin Spindler, Matt Patterson and Peter Bihr. (CC by)
To learn more about KANT Berlin and its members, please visit www.kantberlin.com
This document proposes using wearable devices and Bluetooth beacons to track the location of dementia patients within senior living facilities. By creating a handshake between the wearable devices and strategically placed beacons, caregivers could monitor patients' real-time locations and receive alerts if a patient leaves a restricted area or removes their device. This system could reduce costly search operations when patients wander by 55-65%, saving an estimated $48 million for the company over three years. In addition to financial benefits, the system would provide peace of mind to caregivers and patients' families by allowing constant monitoring and faster emergency response.
IT is playing a key role in tackling the COVID-19 pandemic through various technologies:
1. Remote health monitoring, telemedicine, and chatbots allow virtual doctor visits and patient engagement while maintaining social distancing.
2. AI and machine learning are used to track, monitor, and predict the spread of the virus through tools like contact tracing apps and analysis of medical images and data.
3. Digital technologies help distribute reliable health information and ease anxiety through online wellness apps.
This document discusses 10 new medical gadgets and apps that are changing the practice of medicine. It summarizes each technology, including video consults using smartphones, tablet computers like the iPad being used by physicians, speech recognition programs for documentation, handheld ultrasound devices replacing stethoscopes, "smart bandages" with sensors replacing Holter monitors, unified communication devices replacing pagers, smartphone apps turning phones into medical devices, automated medication adherence tools, electronic medical references on mobile devices, and social networking sites for physicians and patients. These technologies are making medical care more mobile, digital, and connected.
This presentation contains an introduction to emerging healthcare Technologies. These emerging technologies include Data Analytics, AI, Blockchain, Telehealth, virtual reality, cloud computing, and IOT. The concept of Nanorobots as future medicine is also included in this presentation.
Top IoT Applications in a Connected Healthcare IndustryPixel Crayons
Read the full blog here: https://bit.ly/3kjWtdC
Connect with us through:
Contact us : https://bit.ly/2Ew2GDx
Facebook : https://www.facebook.com/PixelCrayons
Twitter : https://twitter.com/pixelcrayons
LinkedIn : https://www.linkedin.com/company/pixelcrayons
Instagram : https://www.instagram.com/pixelcrayons/
Pinterest : https://in.pinterest.com/pixelcrayons/
This document describes a major project presented by four students - Sangeetha, Srikanth Yadhav, Suraj, and Yathesa - at Dr. Ambedkar Institute of Technology. The project involves developing a wearable band to monitor COVID-19 patients. Key aspects of the project include continuously monitoring a patient's temperature, heart rate, blood oxygen levels and location using sensors. If any sensor readings exceed thresholds, a notification will be sent to the treating physician. The goal is to allow early detection of worsening conditions so physicians can provide timely treatment. The document outlines the existing system, proposed system, literature review, requirements, architecture, advantages and work completed.
Wearable technology role in respiratory health and diseasessusera8803c
Wearable biomedical sensors and body area networks will allow continuous monitoring of physiological parameters under natural conditions. This will enable personalized healthcare by capturing data from devices like smartwatches and clothing. Four areas of interest for respiratory health are discussed: pulse oximetry to monitor oxygen levels, sensors to assess pulmonary ventilation by measuring breathing rate and volume, activity trackers, and devices to evaluate air quality. While challenges remain, wearable technologies provide opportunities for personalized respiratory medicine in areas like monitoring, diagnosis and treatment.
The document discusses the increasing use of smartphones in medicine by physicians, medical students, and patients. It provides examples of smartphone apps that can be used for patient care and monitoring, communication between healthcare providers, medical education and reference. Some apps allow remote monitoring of vital signs, video consultations, and medical imaging. Effective use of smartphones requires addressing issues of privacy, professionalism, and conflicts of interest. Guidelines are needed on selecting apps that are accurate, regularly updated, and produced by reputable sources.
These slides use concepts from my (Jeff Funk) course entitled analyzing hi-tech opportunities to analyze the increasing economic feasibility of wearable electronics in health care applications. Rapid improvements in sensors, integrated circuits, transceivers, displays, mobile phones, and wireless networks are causing the cost to fall and the performance to rise for wearable applications. These slides analyze hand, head, and body worn electronics in detail including smart watches, wrist and finger devices, smart glasses and textiles, patches, and foot and arm wear. They also analyze a wide variety of sensors for collecting healthcare information including inertial, bio, chemical, and haptic sensors.
The Power of Social in health and healthcareD3 Consutling
This document summarizes key points about the power of social networks in health and healthcare. It discusses how social media is increasingly important for patients and providers. Patients are using social platforms to find support from others experiencing similar health issues and to learn about new treatments. Some healthcare providers are effectively using social media to engage patients and share medical expertise. The document also describes several digital health startups that are connecting patients, caregivers, and medical professionals through social platforms to improve health outcomes.
This document proposes a mobile health (mHealth) architecture for low-cost applications that run on existing mobile devices used by frontline health workers in developing countries. The design aims to be frugal and simple. It includes developing local applications that run on health workers' phones to aid daily tasks, and extending phone capabilities with low-cost external sensor modules for measurements like pulse oximetry, ECG, and phonocardiography. Prototypes include apps for respiratory/pulse counting, gestational dating, drug dosing, drip rates, and medication reminders. The system integrates these tools to help address resource constraints in developing world healthcare.
Innomantra viewpoint vital sign monitors covid 19 v1.0FF July 2020Innomantra
SUMMARY
The COVID-19 pandemic has generated an unprecedented health crisis world-wide. Remote monitoring of COVID-19 patients is a crucial requirement since this enables continuous patient monitoring without compromising the safety of the health care provider. Remote monitoring using wearables can be obtrusive and uncomfortable for the user, especially when used for long periods of time. Advances in wireless transmission systems and signal processing have enabled researchers to monitor vital signs by analysing characteristics of wireless signals that have reflected off of the subject. Wireless signals for sensing vital signs has been developed since 2015 but there are still significant challenges to be overcome. One of the challenges in using wireless signals to monitor vital signs is that any motion in the environment affects the signal. Furthermore, the presence of multiple users prevents systems from operating error free, even if the users are stationary.
The key player in the wireless vital signs monitoring is MIT’s Emerald Innovations with its wireless sensing technology that monitors breathing and heart rate without body contact. Another player is Origin Wireless with its Origin Health, that enables accurate respiratory, monitoring at home without intrusive wearables. ResMed and Microsoft/University of Washington are other players that have developed wireless vital signs monitoring technology. But they do not seem to be commercializing their technology for COVID-19. Though there are some developments in wireless vital signs technology, there are significant opportunities for other players to innovate. Interference, Patient Movements and multiple user differentiation are some of the problems that need to be addressed to improve the accuracy and sensitivity. The remote vital signs monitoring market is projected to reach US$31.326 billion by the end of 2023 and will become increasingly important and ubiquitous.
Ambient intelligence (AmI) refers to digital environments that are sensitive, adaptive, and responsive to human presence and needs. AmI aims to enhance safety and quality of life through networked sensors and devices that recognize users and adapt environments accordingly. Key technologies enabling AmI include ubiquitous computing, ubiquitous interfaces, and ubiquitous communications. Major applications of AmI include healthcare monitoring, public transportation, education, emergency services, and production monitoring through technologies like sensors, RFID, affective computing, and biometrics. While AmI promises benefits, challenges include high costs, ensuring user acceptance, and addressing security and privacy risks.
The Evolution of Wearable M-Health Applications - Mobile Health Expo New York...Ofer Atzmon
This document discusses the evolution of wearable mobile health applications. It defines wearable systems as integrating embedded non-invasive sensors, intelligent processing, and wireless communications to enable remote patient monitoring. Examples of recent products and research include smart garments, body area networks, and devices that monitor physiological and environmental parameters. While wearable systems face challenges in size, comfort and power consumption, advances in technology are making them more practical for both healthcare and consumer fitness applications.
Mobile MIM allows physicians to view medical imaging scans from other locations on mobile devices like iPads and iPhones. Images from CT, MRI, and nuclear scans can be compressed and securely transmitted to these mobile devices for viewing, but not traditional X-rays which require higher resolution. The app retrieves images from medical image storage servers and features tools like zooming and adjusting window levels. It provides portable access to diagnostic images equivalent to viewing them on workstation computers.
The document describes a smart healthcare monitoring system for independent living. Some key points:
- The system collects data from sensors monitoring daily living activities, physiological signals, and the environment to determine a person's wellness and ability to live independently.
- Sensors are deployed throughout the home to monitor activities like using appliances, mobility, and vital signs. The data is analyzed to recognize patterns and forecast wellness.
- Wellness is determined based on indices measuring inactive time and excess usage of appliances. The indices are improved over time using dynamic thresholds.
- Patterns in sensor activity are analyzed to detect irregular behaviors that could indicate issues. Forecasting is used to predict daily activities and identify deviations.
A Healthcare Monitoring System Using Wifi ModuleIRJET Journal
This document presents a healthcare monitoring system using WiFi modules. The system uses sensors like a temperature sensor and heart rate sensor connected to an Arduino microcontroller to monitor patients' vital signs. The sensor data is sent wirelessly to a monitoring center using a WiFi module. Doctors can access the continuously recorded medical data to diagnose patients remotely. The system aims to provide constant monitoring without confining patients to beds and reduce human errors in manual data logging. It allows for broader use among patients, medical professionals and in rural areas with limited access to healthcare.
IRJET- Virtual Assistant for Medical EmergencyIRJET Journal
The document describes a proposed virtual assistant for medical emergencies using IoT. The system would involve a wearable device like a wristband with sensors to monitor vital signs. If the signs indicate a medical emergency, the device would alert emergency services and provide the patient's medical history. It would also notify family members. The system aims to reduce response times in medical emergencies to improve outcomes. Key challenges include accurately detecting emergencies, secure data transmission, and avoiding false alarms. The proposed solution involves continuous health monitoring, emergency detection and response, automatic medical history access in emergencies, and location tracking to direct responders.
The document discusses trends in health and fitness driven by data and empowered users. Key developments include growth in mobile health apps and devices for self-tracking. This is changing the relationship between patients and providers, with patients taking more responsibility for their health by tracking personal data and managing their conditions. Developing effective software and hardware in this environment requires addressing challenges like privacy and motivating behavior change while empowering users.
A report on macro trends relating to health technology, produced in a one-day topic sprint by the members of KANT Berlin: Alper Çuğun, Chris Eidhof, Martin Spindler, Matt Patterson and Peter Bihr. (CC by)
To learn more about KANT Berlin and its members, please visit www.kantberlin.com
The Future of mHealth - Jay Srini - March 2011LifeWIRE Corp
Jay Srini's presentation of her take on the Future of mHealth, presented at the 3rd mHealth Networking Conference, March 30, 2011. Aside from being one of the preeminent thought leader in the area of innovation and mhealth, she holds a number of positions including Assistant Professor at the University of Pittsburgh and CIO for LifeWIRE Corp.
This document provides an overview of the 2012 mHealth report from Ruder Finn London. It contains the following key points:
1. mHealth, or mobile health, uses smartphones, tablets, and other mobile devices to help manage healthcare and enable more independent living as populations age and chronic diseases rise.
2. A survey found that UK smartphone and tablet users are interested in health apps but prefer speaking to doctors in person. Top reasons for not using health apps included having no need and finding them unhelpful.
3. The mobile health app market is growing rapidly and expected to reach $1.3 billion in 2012. However, more investment is still needed to develop useful apps that meet consumer and healthcare professional
In late 2010, John Moore of the Chilmark Research blog - heralded mobile technology as a looming “disruptive” force in modern healthcare. “And with disruption, opportunity blooms
The document discusses how smartphones are transforming healthcare by enabling care to be provided anywhere. It notes that while healthcare currently makes up a small portion of smartphone sales, it is a key growth area. Physician smartphone adoption exceeds general population rates, with most physician users downloading medical data to their phones. Smartphones offer healthcare solutions through communication, access to medical knowledge, enabling transactions like ePrescribing, and integrating diverse information sources. The future of healthcare is predicted to increasingly involve remote care delivery and monitoring via mobile devices.
The document discusses how smartphones are transforming healthcare by enabling care to be provided anywhere. It notes that while healthcare currently makes up a small portion of smartphone sales, it is a key growth area. Physician smartphone adoption exceeds general population rates, with most physician users downloading medical data to their phones. Smartphones offer healthcare solutions through communication, access to medical knowledge, enabling transactions like ePrescribing, and integrating diverse information sources. The future of healthcare is predicted to increasingly involve remote care delivery and monitoring via mobile devices.
Advance IoT-based BSN Healthcare System for Emergency Response of Patient wit...IJMTST Journal
BSN is a prior and emerging technology in the medical field .BSN care system first deploy light weight ,tinypowered
sensors on patient body which communicate with each other and the coordinator node which is on
the body.This system mainly focuses on the measurement and estimation of important parameters like
ECG,temperature,level of blood. This real time system focuses on several parameters like patient location,
data storage, motion detection and transmission of data as well as alert messages to first responder and
server of hospital.In this system we are using three types of sensors ECG sensor,temperature sensor and
level sensor which gathers patients information and sends to micro-controller via which it goes to
BTC(Bluetooth Controller) through it is transferred to an Android smart phone of patient via Wi-Fi/Internet it
goes to server and from the server data is sends to doctors Android App. We are additionally using NFC(Near
Field Communication) technology,motion detection of patient by continuous grabbing of feed from
camera.Subsequently, by using this customized algorithm we proposed IOT based healthcare system using
body sensors which efficiently accomplish requirement.
Artificial intelligence has great potential applications in public health by analyzing large health datasets to provide insights on disease determinants and shape public health policies. AI technologies like machine learning, computer vision, and deep learning can be used for epidemic prediction, disease screening, diagnostics, telemedicine, and drug discovery by analyzing medical records, images, genetic data, and more. However, AI in public health is still in its early stages and faces challenges regarding data quality, transparency, bias, regulatory issues, and replacing human jobs. Principles for ethical AI development include prioritizing human well-being, transparency, accountability, and non-discrimination. Overall, AI shows promise to transform public health when developed collaboratively with human experts.
7 Best Points of The Future of Digital Technology in Healthcare | The Entrepr...TheEntrepreneurRevie
Here are 7 Best Points of The Future of Digital Technology in Healthcare; 1. Smartphones and wearable technology, 2. Virtual Machines (VMs), 3. Telecommunications medicine,
Idiagnostics - The Power of Diagnostics and Imaging in your iPhone. Kapil Kha...Kapil Khandelwal (KK)
The document discusses the growing field of iDiagnostics, which uses iPhone applications and devices to enable point-of-care diagnostics and testing. Some key points:
- There have been many healthcare applications developed for the iPhone, allowing new possibilities for handheld diagnostic devices. Apple has the largest number of healthcare apps of any operating system.
- Drivers for the growth of iDiagnostics include a shortage of healthcare workers, increased internet access in India, and demand for self-testing and faster results. Over 5% of apps on the Apple app store are related to healthcare.
- Developing a successful iDiagnostics business requires defining the value proposition by addressing patient needs, outlining a delivery model to
This document provides an overview of digital health for nursing students. It defines digital health and discusses key areas like big data, genomics, and artificial intelligence. It outlines drivers of digital health in India like lifestyle diseases and an aging population. Key aspects of digital health are discussed, including telemedicine, electronic health records, robot-assisted surgery, self-monitoring devices, the internet of medical things, and mHealth. The future of digital health in India is seen to involve expanded telemedicine, electronic medical records, artificial intelligence, and more. Digital health tools were also discussed in the context of COVID-19, along with advantages and challenges of digital health.
1. Genome sequencingAdvances in genome sequencing and the associat.pdfkaran8801
1. Genome sequencing
Advances in genome sequencing and the associated field of genomics will give us better
understanding of how diseases affect different individuals. With the genetic profile of a person’s
disease and knowledge of their response to treatment, it should be possible to find out more
about the likely effectiveness of medical interventions such as prescribing drugs to treat a disease
(pharmacogenomics).
2. Digital therapeutics
Digital therapeutics are health or social care interventions delivered either wholly or significantly
through a smartphone or a laptop. They effectively embed clinical practice and therapy into a
digital form. At a minimum, these interventions combine provision of clinically curated
information on a health condition with advice and techniques for dealing with that condition.
Many digital therapy platforms include a way for people to connect with peers and share their
experience, or to connect with health professionals remotely. Whether they are fully automated
or blend automation with supervision, the therapy offered can be tailored to the needs of the
specific user. Digital therapeutics are often cited as a solution to help manage long-term
conditions that call for behaviour changes or to prevent diseases in the long run.
3. Smart or implantable drug delivery mechanisms
We know that between a third and a half of all medication prescribed to people with long-term
conditions is not taken as recommended. Several technologies in development could enable
patients and care professionals to monitor and improve adherence to a prescribed drug regime
either through automation or providing better information about medication usage.
4. At-home or portable diagnostics
Devices cheap enough or portable enough to be transported to people’s homes to provide
diagnostic information aren’t new – think of a GP doing home visits armed with a stethoscope.
But recent innovations mean that devices previously only kept in a hospital or a GP surgery are
now portable or cheap enough to be located in people’s homes, and used by patients themselves.
5. The smartphone
It’s been eight years since the launch of these pocket-sized devices we now know so well. We
take them for granted but our phones combine: computing power that could steer a spacecraft, a
connection to the internet, a host of sensors for health-relevant data like movement and location
tracking, plus a touch-screen interface.
Apps
App stores already feature thousands of health apps, though their uptake for health and care has
been patchy. Efforts to curate the best quality apps, for example in the NHS App Library, have
had little success so far (Huckvale et al 2015).
One of the more sophisticated apps in use in health care is Ginger.io. In this depression
programme, people track their own mood and this is combined with data collected from the
sensors in the smartphone about their movements, social app or telephone use. The data can be
shared with clinicians and offers peop.
Requirements identification and modeling 2.0 updatesAbdullahhussain60
This document outlines a research study on developing a mobile application for medical services. It includes requirements diagrams showing how the app would allow access to medical centers in emergencies. It also reviews existing research on mobile healthcare apps and outlines the proposed framework. The framework would use sensors on a smartphone to monitor health data and location. In emergencies, it would automatically alert the user's physician and share medical records. Flow charts and block diagrams show how the system would work with sensors transmitting data to a central monitoring device for analysis and alerts.
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.
Trends brief: Quantified self & Wearable TechnologiesG. Kofi Annan
The document discusses the quantified self movement and wearable technology trends in health. It describes how quantified self uses technology to collect personal data on inputs, states, and performance to achieve self-improvement goals. Wearables are a new technology category resulting from trends in mobile devices, augmented reality, the Internet of Things, and big data. The document outlines key drivers of wearable adoption including accelerating technology, government policies, consumerization of healthcare, increasing chronic conditions, and an aging population. It explores applications of wearables and quantified self across areas like biosensors, augmented perception, environmental sensing, personal data aggregation, and health data systems.
Health IT (Health Information Technology) is the area of IT involving the design, development, creation, use and maintenance of information systems for the healthcare industry
The integration of mobile and medical technologies UBMCanon
The document discusses the convergence of medical devices and consumer technology. It notes that the growth of smartphones and tablets as well as the rise of chronic diseases is driving remote patient monitoring and connected medical devices. While consumer devices emphasize quick time to market and simple interfaces, medical devices require a longer development process and must meet regulatory and reliability standards. The document predicts collaboration between consumer electronic and medical companies will be important and that connected devices and sensors will continue enabling new healthcare applications and management of chronic conditions at home.
This document summarizes a study on preferred IoT technologies for tracking aged patients with non-communicable diseases (NCDs) in Malaysia. The study aims to analyze the current wearable health system scenario and preferences based on variables like age and gender. Literature reviews covered IoT and healthcare, wearable health devices including activity trackers and smartwatches. Research methodology involved a cross-sectional survey of 450 patients aged 50-70 across three Malaysian states. The study recommends strengthening technological capabilities and guidance to help prevent and treat NCDs in elderly patients.
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The document discusses Project HealthDesign, which explores how observing patients' daily lives through technologies can improve healthcare. It describes several Round 2 projects that collected patient-generated health data using mobile apps to provide a more comprehensive view of patients' experiences. This included data on symptoms, triggers, medications, activities and more for conditions like asthma, Crohn's disease and cognitive decline. The projects found that observing daily living helped recognize issues earlier, monitor treatment effectiveness and engage patients more in their own care. Clinicians could better understand home health status and adjust care plans accordingly.
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These lecture slides, by Dr Sidra Arshad, offer a simplified look into the mechanisms involved in the regulation of respiration:
Learning objectives:
1. Describe the organisation of respiratory center
2. Describe the nervous control of inspiration and respiratory rhythm
3. Describe the functions of the dorsal and respiratory groups of neurons
4. Describe the influences of the Pneumotaxic and Apneustic centers
5. Explain the role of Hering-Breur inflation reflex in regulation of inspiration
6. Explain the role of central chemoreceptors in regulation of respiration
7. Explain the role of peripheral chemoreceptors in regulation of respiration
8. Explain the regulation of respiration during exercise
9. Integrate the respiratory regulatory mechanisms
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Study Resources:
1. Chapter 42, Guyton and Hall Textbook of Medical Physiology, 14th edition
2. Chapter 36, Ganong’s Review of Medical Physiology, 26th edition
3. Chapter 13, Human Physiology by Lauralee Sherwood, 9th edition
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These lecture slides, by Dr Sidra Arshad, offer a quick overview of the physiological basis of a normal electrocardiogram.
Learning objectives:
1. Define an electrocardiogram (ECG) and electrocardiography
2. Describe how dipoles generated by the heart produce the waveforms of the ECG
3. Describe the components of a normal electrocardiogram of a typical bipolar lead (limb II)
4. Differentiate between intervals and segments
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1. Chapter 11, Guyton and Hall Textbook of Medical Physiology, 14th edition
2. Chapter 9, Human Physiology - From Cells to Systems, Lauralee Sherwood, 9th edition
3. Chapter 29, Ganong’s Review of Medical Physiology, 26th edition
4. Electrocardiogram, StatPearls - https://www.ncbi.nlm.nih.gov/books/NBK549803/
5. ECG in Medical Practice by ABM Abdullah, 4th edition
6. Chapter 3, Cardiology Explained, https://www.ncbi.nlm.nih.gov/books/NBK2214/
7. ECG Basics, http://www.nataliescasebook.com/tag/e-c-g-basics
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HIPAA Security Rule Compliance When Communicating with Patients Using Mobile Devices
1. HIPAA Security Rule Compliance When Communicating with
Patients Using Mobile Devices
January 26, 2011 1
2. Agenda
Increase in health care providers’ and patients’ use of mobile
devices
Overview of select Health Insurance Portability and
Accountability Act (“HIPAA”) Security Rule requirements
Special security risks presented by mobile devices
Initial best practice suggestions for grantee review and discussion
NOTE: When we say “mobile device” in this presentation we mean a pocket-sized computing device,
which typically has a display screen with touch input and/or a miniature keyboard. This generally includes
“smart phones,” and personal digital assistants (e.g. the IPOD Touch and the IPAD). This does not include
laptop computers.
2
3. Increasing Physician Use
of Mobile Devices Can
“ By 2012, all physicians will walk around with a stethoscope
and a smart mobile device, and there will be very few
Help Inform Discussion of
Patient Use of Mobile
professional activities that physicians won’t be doing on
Devices their handhelds.
” Monique Levy, Sr. Dir. Of Research at Manhattan
Research , October 2009
of American physicians
81% will own smart phones
by 2012
(Manhattan Research October
2009)
85%
Are you looking to use tablets
or other mobile devices?
(Impravata Inc.)
15%
3
Yes No Full citations listed in back.
4. A Growing Market of
Patients
The $60 Billion Global Mobile
Health Market (McKinsey):
In the next five years, an estimated 1.4 billion people will
use smart phones worldwide; more than 1 out of 3 people
with a smart phone will have a health-related app on their
phone.
A global market survey from McKinsey & Company
suggested that mobile health opportunities in 2010 could
be worth $20 billion in the US alone.
Another study conducted by the Euro RSCG Life Group
found that over 44% of American smart phone users expect
to use more mobile health and wellness applications in the
near future.
4
5. Project HealthDesign Grantees’ Use of Mobile Devices
San Francisco State University of California, RTI International and University of California at Carnegie Mellon
University Irvine Virginia Commonwealth Berkeley (To be
University confirmed)
Name of ODLs Via Mobile Platforms Use of ODLs among Low BreathEasy- A PHR for Crohnology.MD Embedded Assessment of
Project for Youth with Obesity and Birth Weight Infants and Adults Living with Asthma Elder Activities (Cognitive
Depression Their Caregivers to and Depression Decline and Arthritis) for
Improve Care and Reduce Augmenting PHRs
Incidence of Chronic
Conditions over the
Lifespan
Devices iPod Touches Smart phones Smart phones Smart phones Sensors
Given to Scale Sensors (e.g. pedometers) Laptops
Patients CyTek report card
Information ODLs are sent from iPod ODLS are sent from smart ODLs are sent from smart ODLs are sent from smart ODLS are sent from
phones to the RTI server.
Flow Touch to TheCarrot.com phone to HealthVault Clinicians view
phones to Google Health laptops to HealthVault.
through app on device. The through FitBaby app on reports/dashboards through a and project servers. Reports will be generated,
Carrot.com generates phone. Patients access portal or EHR. Clinicians view which clinicians and
reports, which patients view reports through app on Patients may also view reports reports/dashboards patients may view on
through app on device. smart phone. through dashboard on smart through a portal or EHR. their laptops.
phones.
Use of SMS? Yes. Clinicians send SMS No. Not planned at this time. Possible. No
messages to patients.
5
7. Key HIPAA Security Rule Principles
Few Bright Line Establishes categories of safeguards to secure electronic protected
Requirements health information (“EPHI”). Provides Covered Entities (“CEs”) with
discretion to determine which safeguards to employ in each category.
Scalable Level of safeguards can vary with size and resources of CE. Small
physician practices do not have to adopt the same types of safeguards
as a large hospital system or insurer.
Standards include those that are “required” and those that are
Required vs. “addressable.” Addressable standards do not have to be implemented
Addressable if, through a risk analysis, a CE determines that a standard is not feasible
Standards and adopts alternative safeguards to the extent practical.
7
8. The Importance of Risk Analysis
Conducting a risk analysis is the first step in identifying and
implementing appropriate safeguards.
Risk analyses inform which technology (and other) solutions a CE
should adopt, when they should be adopted, and whether and
which alternative safeguards should be implemented instead.
The risk analysis implementation specification (Section
164.308(a)(1)(ii)(A)) requires CEs to:
“Conduct an accurate and thorough assessment of the potential
risks and vulnerabilities to the confidentiality, integrity, and
availability of electronic protected health information held by the
covered entity.”
8
9. Key Security Rule Requirements Relevant to Use of Mobile
Devices
Implementation Specifications
Standards Citation
(R)= Required, (A)=Addressable
Access Control 164.312(a)(1) Unique User (R)
Identification
Emergency Access (R)
Procedure
Automatic Logoff (A)
Encryption and (A)
Decryption
Audit Controls 164.312(b) (R)
Integrity 164.312(c)(1) Mechanism to (A)
Authenticate
Electronic Protected
Health Information
Person or Entity 164.312(d) (R)
Authentication
Transmission Security 164.312(e)(1) Integrity Controls (A)
Encryption (A)
9
10. Standard 1: Access Control
Standard
Implement technical policies and procedures for electronic information
systems that maintain EPHI to allow access only to those persons or software
programs that have been granted access rights as specified in the
“Administrative Safeguards” section of the Security Regulations.
Implementation Specifications
1. Unique User Identification. [Required] Assign a unique name and/or number
for identifying and tracking user identity.
2. Emergency Access Procedure. [Required] Establish (and implement as
needed) procedures for obtaining necessary EPHI during and emergency.
3. Automatic Logoff. [Addressable] Implement electronic procedures that
terminate an electronic session after a predetermined time of inactivity.
4. Encryption and Decryption. [Addressable] Implement a mechanism to
encrypt and decrypt EPHI.
10
11. Standard 2: Audit Controls
Standard
Implement hardware, software, and/or procedural
mechanisms that record and examine activity
information systems that contain or use EPHI.
Implementation Specifications
None. The CE’s risk assessment and risk analysis can
help determine how intensive the entity’s audit control
function should be.
11
12. Standard 3: Integrity
Standard
Implement policies and procedures to protect the
integrity of EPHI and assure it is not improperly altered
or destroyed.
Implementation Specifications
Mechanism to Authenticate EPHI. [Addressable]
Implement electronic mechanisms to corroborate that
EPHI has not been altered or destroyed in an
unauthorized manner.
12
13. Standard 4: Person or Entity Authentication
Standard
Implement procedures to verify that persons or entities seeking
access to EPHI are who they claim to be.
Implementation Specifications
None. Personal authentication can be achieved through a
variety of mechanisms, including passwords, tokens, biometric
identification, and others.
13
14. Standard 5: Transmission Security
Standard
Implement technical security measures to guard against
unauthorized access to EPHI that is being transmitted over an
electronic communications network.
Implementation Specifications
1. Integrity Controls. [Addressable] Implement data integrity
measures to ensure that electronically transmitted EPHI is not
improperly modified without detection until disposed of.
2. Encryption. [Addressable] Implement a mechanism to encrypt
EPHI whenever deemed appropriate.
14
15. Special Risks Presented by Mobile Devices1
Loss, Theft or Disposal
Risk level: high
Because of their small size, mobile devices can be lost or misplaced. They
are also an easy target for theft. If proper measures are not in place and
activated, gaining access can be straightforward, potentially exposing
sensitive data that resides on the device or is accessible from it.
Unauthorized Access
Risk level: high
According to the National Institute of Standards and Technology (“NIST”),
most cell phone users seldom employ security mechanisms built into a
device, and if employing them, often apply settings that can be easily
determined or bypassed (e.g. passwords).
HHS cites data storage and transmission as potential risk areas as well.
1The risks listed here were identified either by NIST in its 2008 “Guidelines for Cell Phone and PDA Security” Special Publication 800-124 or the U.S. Department of
Health and Human Services in its 2006 HIPAA Security Guidance for Mobile Devices 12/18/2006. 15
16. Special Risks Presented by Mobile Devices2
Malware (Viruses)
Risk level: low
Mobile malware can infect a mobile device when a user downloads a virus disguised
as a game or security patch etc. Malware can also be appended to email, text and
other instant messages available on cell phones. Malware can intercept or access
information on the mobile device, collect and send information out of the device
and/or, destroy stored information, among various other behaviors.
According to NIST, malware outbreaks on mobile devices have been mild when
compared to malware incidents on laptops.
Cloning
Risk level: low
If certain unique identifiers built into a cell phone are reprogrammed into a second
cell phone, a clone is created that can masquerade as the original.
According to NIST, cloning is not as prevalent among digital networks as it was when
cell phones relied on analog networks. Today, encryption prevents most device
identifiers from being recovered and used to clone a device.
2Id.
16
17. Mobile Device Security Risk: Lessons Learned from
HHS Breach Notification Reports3
Majority of reported breaches involve loss or theft of paper
records, portable medium (CD or tape) or laptops.
Few reported breaches involve hacking or other external technical
penetration.
Out of 214 total breach reports, only 23 involved “portable
electronic devices” (other than laptops) and all of those were loss
or thefts.
Breaches affecting 500 or more individuals are reported by HHS at
http://www.hhs.gov/ocr/privacy/hipaa/administrative/breachnotificationrule/
breachtool.html
3HHS breach reports accessed on December 27, 2010. 17
18. Initial Best Practice
Suggestions for Grantee
Review and Discussion
Overarching Questions for Grantees: Do These Suggestions
Sound Feasible? Necessary? Sufficient?
18
19. Implementing Appropriate Security Practices
Analyzing security practices when patients are using mobile
devices raises issues not contemplated under the Security Rule.
When conducting a risk analysis to determine which strategies to
use to protect EPHI communicated to/from a patient using a
mobile device, health care providers should consider the following
factors:
The complexity and cost of the security measure (e.g. downloading and
installing a third-party encryption program).
The ability of the patient to perform the task.
The effect the security measure will have on the efficient delivery of clinical
care (e.g. the effect of locking a device or application with a password on
the patient’s willingness to report ODLs).
The probability and criticality of potential risks to EPHI.
Question for Grantees: Are There Other Factors We Should Include? 19
20. Best Practice Recommendations: Road Test
Transmission Security
HIPAA Standard: Implement technical security measures to guard against
unauthorized access to EPHI that is being transmitted over an electronic
communications network.
Background:
Mobile devices can send data in various ways, such as:
Internet protocols (e.g. those used by many of the unique software
applications grantees have developed under their projects)
Email (which uses traditional Internet protocols)
Voice (e.g. traditional telephone)
Text (“SMS/MMS”) messaging
Most of these channels are secure without the patient having to take any
additional steps...except for text messages…
20
21. Spotlight on Text Messages
When “at rest” on a smart phone, data is
generally stored in the computer inside the
smart phone (often called “on-board memory”)
or on a memory card that is inside of the
Where Are phone but can be removed.
Text Some data can also be stored on what is called
a SIM card, which ties a smart phone to a
Messages user’s phone number and can also be removed.
Located? Data at rest can also be stored offsite on a
wireless carrier’s server.
Data can be “in transit” to another smart
phone or elsewhere.
21
22. Spotlight on Text Messages: Encrypting Data at Rest
Many smart phones include built-in encryption capabilities for data at rest. For
example, through the Blackberry Enterprise Server, Blackberry enables
“enterprises” to set the security policies for its employees’ phones.
Patients who have smart phones that are not provided by their employer or
otherwise part of an enterprise system would probably have to work with
their wireless carrier or device provider to enable their options for
encrypting data at rest on their phones…OR…clinicians providing the smart
phones could take responsibility for enabling encryption options for them.
Many smart phones allow patients or enterprises to add third party applications,
including encryption/decryption and other security tools, to their phones. There
are a number of third-party applications available in the iPhone App Store, for
example, that will further encrypt data at rest on a smart phone.
The price of these applications varies, and the difficulty of installation/use
can be high.
22
23. Spotlight on Text Messages: Encrypting Data in Motion
Unlike wireless Internet, the network channels over which text messages are sent in the
United States are not encrypted via Secure Sockets Layer (“SSL”) or Transport Layer
Security (“TLS”) encryption methods. This means that text messages are not
automatically encrypted as they transverse carriers’ wireless channels en route to
another smart phone (or elsewhere).
Unless an enterprise or a patient buys a third-party software tool that scrambles the
text message before it leaves his/her phone and unscrambles it upon reaching its
destination, text messages can be intercepted in transit and read.
Third-party software applications to encrypt text messages in transit are available in the
iPhone App Store, for example. The cost of these software tools varies. Most tools
require the user to configure various options after the software is downloaded, to obtain
additional keys, and to engage in other activities that make installation and use of these
software applications challenging.
It is probably not realistic to assume that individual patients would be capable of
installing third-party text message encryption software on their smart phones for the
purposes of protecting ODLs or other information they communicate to their health
care providers through their smart phones. 23
24. Best Practice Recommendations: Road Test
Securing Text Messages
Providers that give patients smart phones should investigate whether they
can preset the smart phones’ built-in encryption tools for data at rest.
Providers should also investigate the availability, effectiveness, and price of
third party encryption tools that encrypt data as it is being transmitted to
and from smart phones.
If implementation of encryption tools is not feasible, providers should
engage in alternative protection behaviors:
Limit EPHI transmitted via unencrypted channels (e.g. carefully word
communiqués with patients);
Direct patients to obtain detailed information through a web portal or
other secure means.
Providers should also offer education/training to patients on the risks of
transmitting EPHI to clinicians through text messages.
Question for Grantees: Does this sound feasible to you?
24
25. Best Practice Recommendations: Road Test
Person/Entity Authentication and Access
HIPAA Standard: Implement procedures to verify that persons or entities seeking
access to EPHI are who they claim to be.
HIPAA Standard: Implement technical policies and procedures for electronic
information systems that maintain EPHI to allow access only to those persons or
software programs that have been granted access rights as specified in the
“Administrative Safeguards” section of the Security Regulations.
Providers should offer education/training to patients with whom they communicate via
mobile device on things like use of passwords and proper device handling.
Providers should also encourage patients to sign a statement indicating they understand
the heightened risks if they do not:4
Protect their mobile devices with passwords;
Enable their device’s automatic logoff function after a specified amount of time;
Refrain from sharing their device with friends and family.
Question for Grantees: Does this sound feasible to you?
4Project
25
HealthDesign grantees need not retroactively have participating patients sign such a statement.
26. Best Practice Recommendations: Road Test
Audit Controls Integrity
HIPAA Standard: Implement policies HIPAA Standard: Implement policies
and procedures to protect the and procedures to protect the
integrity of EPHI and assure it is not integrity of EPHI and assure it is not
improperly altered or destroyed. improperly altered or destroyed.
Not Applicable/Providers need not take Not Applicable/Providers need not take
any additional action. any additional action.
As with the other Security Rule As with the other Security Rule
standards, the audit control standards, the audit control
requirement does not apply to requirement does not apply to
devices controlled by patients. devices controlled by patients.
From a best practice perspective, From a best practice perspective,
there is no need for a patient to log there is no need for a patient to take
and audit his own use of his/her steps to ensure the integrity of the
mobile device as it is generally only EPHI they store and/or transmit
the patient who will have access to through their mobile devices as risk
the device. of alteration or destruction is low.
Question for Grantees: Does this sound feasible to you?
26
27. Next Steps
Determine whether the webinar approach is a good one for
collecting grantees’ feedback on cross-cutting policy issue
obstacles.
Question for Grantees: Does the webinar approach work for
you? Is there an alternative approach you would prefer?
Remaining cross-cutting policy issue obstacles to be addressed:
Uncertainty about health care providers’ liability when
incorporating ODLs into clinical practice and communicating
with patients electronically
Uncertain policy environment regarding an individual’s use of
internet-based tools to share health information 27
29. Citations: Mobile Device Use Estimates
“Physicians in 2012: The Outlook for On Demand, Mobile and Social Digital Media.” Accessed on
12/29/2010. Released October 2009.
http://www.manhattanresearch.com/newsroom/Press_Releases/physician-smart phones-2012.aspx
“2008 Identity Management Trends in Healthcare Survey Research Brief” Imprivata, Inc. Accessed on
12/29/2010. Released 2008.
http://www.imprivata.com/custom/confirmation/resource/research/2008_id_mgmt_trends_health
care.pdf
McKinsey Mobile Health Care Survey 2009. McKinsey & Co. Accessed on 12/29/2010.
http://www.mckinsey.it/idee/practice_news/global-mobile-healthcare-opportunity.view
“Mobile Health Market Report 2010-2015” Research2guidance. Accessed 12/29/2010.
http://www.research2guidance.com/500m-people-will-be-using-healthcare-mobile-applications-in-
2015/
“Bigger than DTC? The Promise of Mobile Health.” Euro RSCG Life 4D. Survey conducted September
2010.
29
30. HIPAA Security Rule Overview
“Ensure the confidentiality, integrity, and availability of all electronic protected health
information the covered entity creates, receives, maintains or transmits.”
“Integrity means the property that data or information have
not been altered or destroyed in an unauthorized manner.”
“Availability means the property that data or information is
accessible and useable upon demand by an authorized
person.”
“Confidentiality means the property that data or information
is not made available or disclosed to unauthorized persons or
processes.”
§164.304 and 164.306(a)(1) 30
31. HIPAA Security Rule Overview Cont’d
A covered entity must comply with the applicable standards,
implementation specifications, and requirements of the Security
Rule with respect to electronic Protected Health Information.
Covered Entities means: Electronic Protected Health
Information (EPHI) means:
(1) A health plan
(2) A health care clearinghouse individually identifiable health
(3) A health care provider who information ... that is (i) Transmitted
transmits any health information in by electronic media; or (ii)
electronic form Maintained in electronic media
31