The document discusses how an Internet of Things think tank explored how IoT solutions can improve patient outcomes. Key findings included that connected devices have the potential to benefit patients and providers through predictive analytics, personalized care, improved efficiency and speed of care, and remote patient monitoring. Participants noted big data is important but also raises security and data ownership issues. Ensuring positive outcomes requires collaboration across healthcare stakeholders, putting patients' needs and preferences first, and focusing on ongoing health rather than just care when sick.
AI in Healthcare: From Hype to Impact (updated)Mei Chen, PhD
This document summarizes a workshop presentation on AI in healthcare. It begins by discussing the hype around AI and how it has not yet delivered many results. It then outlines some challenges to using AI in healthcare like a lack of understanding of what AI can do, poor implementation strategies, and a shortage of trained workforce. The objectives of the workshop are then stated as understanding AI's real potential and how to invest wisely. Various AI technologies like machine learning, natural language processing, and voice technology are described. Key requirements for successful AI include understanding its limitations and developing a strategy to bring real value.
The Future of Artificial Intelligence and Quality Management in Hospitals By....Healthcare consultant
The medical device industry has noticed this factor and uses it to save lives. Artificial intelligence (AI) in the life sciences industry is capable of more than one could imagine and it’s changing the future. For example, one organization is creating AI-based voice robot technology, which, according to an article in Management Matters Network, will deliver custom prescriptive advice to managers using strengths and performance data to help better coach and engage employees.
Automated audit management has served as a great source of information to delve deeper into data with predictive intelligence regarding safety and compliance. Leading safety metrics provide:
• Total number of noncompliances
• Number of near-misses enabling investigation to prevent potential incidents
• The time it takes to complete post-audit corrective and preventive actions
• Easy-to-view previous findings for corrective action launches and findings
• Automated audit management software that centralizes all risk items and allows users to automatically assess them and generate reports quickly to pinpoint high-risk gaps that may otherwise go unnoticed
Rock Report: Fitness Technology for Athletes by @Rock_HealthRock Health
Swifter, higher, stronger: Fitness technology for athletes explores how apps and sensors are transforming athletic training and performance. It discusses trends like gamification, social connectivity, and health food apps. Case studies profile companies like Skimble, FlexxCoach, and Cardiio that are developing innovative sensor and software solutions. Experts in fields like sports medicine, coaching, and athletics provide insights on small changes, designing for athletes, and the future of digital health in sports. The report examines growth in the health and fitness app market and revenue models. It also covers trends in heart rate monitors, pedometers, displays, and video analysis tools that are helping athletes track and improve their performance.
Opening Keynote: The Convergence of mHealth: A Consumer and Clinical Perspective
Description: In the opening keynote attendees will hear an overview from a current HIMSS mHealth Community Member which sets the stage for discussion. The keynote will highlight facts and figures which support the thesis of increased utilization of mobile and wireless technologies by healthcare providers. The keynote will also set the stage with current issues impacting the continued adoption.
Speaker(s): Ahmed Albaiti
Objectives: Assess the current landscape of mHealth. Illustrate the roles of consumers and patients. Define the current issues.
Bio IT World 2019 - AI For Healthcare - Simon Taylor, LucidworksLucidworks
1) An AI system implemented at Johns Hopkins Hospital helped optimize hospital operations and bed assignment. It allowed beds to be assigned 30% faster.
2) This reduced the need to keep surgery patients in recovery rooms longer than necessary by 80% and cut wait times for ER patients to receive beds by 20%.
3) The efficiencies also allowed the hospital to accept 60% more transfer patients from other hospitals.
When it comes to AI use for prediction, diagnosis and treatment of medical conditions, reality is often replaced with a hype. Limitations should be known. A review of AI failures and challenges in healthcare showing why it is not likely for algorithms to replace physicians in the nearest future.
Artificial intelligence can help improve healthcare in several ways:
1. It can help doctors make more accurate diagnoses by analyzing large amounts of medical data.
2. AI is already being used in areas like radiology to identify diseases in medical images.
3. It shows promise in personalized treatment recommendations by analyzing individual patient data.
4. In the future, AI may be able to perform some medical tasks like surgery more precisely than humans.
Rock Report: Personalization in Consumer Health by @Rock_HealthRock Health
Overview of personalization in healthcare, including opportunities, barriers and case studies related to a market estimated to reach $450B+ by 2015. Purchase the report here: https://gumroad.com/l/XxcA
AI in Healthcare: From Hype to Impact (updated)Mei Chen, PhD
This document summarizes a workshop presentation on AI in healthcare. It begins by discussing the hype around AI and how it has not yet delivered many results. It then outlines some challenges to using AI in healthcare like a lack of understanding of what AI can do, poor implementation strategies, and a shortage of trained workforce. The objectives of the workshop are then stated as understanding AI's real potential and how to invest wisely. Various AI technologies like machine learning, natural language processing, and voice technology are described. Key requirements for successful AI include understanding its limitations and developing a strategy to bring real value.
The Future of Artificial Intelligence and Quality Management in Hospitals By....Healthcare consultant
The medical device industry has noticed this factor and uses it to save lives. Artificial intelligence (AI) in the life sciences industry is capable of more than one could imagine and it’s changing the future. For example, one organization is creating AI-based voice robot technology, which, according to an article in Management Matters Network, will deliver custom prescriptive advice to managers using strengths and performance data to help better coach and engage employees.
Automated audit management has served as a great source of information to delve deeper into data with predictive intelligence regarding safety and compliance. Leading safety metrics provide:
• Total number of noncompliances
• Number of near-misses enabling investigation to prevent potential incidents
• The time it takes to complete post-audit corrective and preventive actions
• Easy-to-view previous findings for corrective action launches and findings
• Automated audit management software that centralizes all risk items and allows users to automatically assess them and generate reports quickly to pinpoint high-risk gaps that may otherwise go unnoticed
Rock Report: Fitness Technology for Athletes by @Rock_HealthRock Health
Swifter, higher, stronger: Fitness technology for athletes explores how apps and sensors are transforming athletic training and performance. It discusses trends like gamification, social connectivity, and health food apps. Case studies profile companies like Skimble, FlexxCoach, and Cardiio that are developing innovative sensor and software solutions. Experts in fields like sports medicine, coaching, and athletics provide insights on small changes, designing for athletes, and the future of digital health in sports. The report examines growth in the health and fitness app market and revenue models. It also covers trends in heart rate monitors, pedometers, displays, and video analysis tools that are helping athletes track and improve their performance.
Opening Keynote: The Convergence of mHealth: A Consumer and Clinical Perspective
Description: In the opening keynote attendees will hear an overview from a current HIMSS mHealth Community Member which sets the stage for discussion. The keynote will highlight facts and figures which support the thesis of increased utilization of mobile and wireless technologies by healthcare providers. The keynote will also set the stage with current issues impacting the continued adoption.
Speaker(s): Ahmed Albaiti
Objectives: Assess the current landscape of mHealth. Illustrate the roles of consumers and patients. Define the current issues.
Bio IT World 2019 - AI For Healthcare - Simon Taylor, LucidworksLucidworks
1) An AI system implemented at Johns Hopkins Hospital helped optimize hospital operations and bed assignment. It allowed beds to be assigned 30% faster.
2) This reduced the need to keep surgery patients in recovery rooms longer than necessary by 80% and cut wait times for ER patients to receive beds by 20%.
3) The efficiencies also allowed the hospital to accept 60% more transfer patients from other hospitals.
When it comes to AI use for prediction, diagnosis and treatment of medical conditions, reality is often replaced with a hype. Limitations should be known. A review of AI failures and challenges in healthcare showing why it is not likely for algorithms to replace physicians in the nearest future.
Artificial intelligence can help improve healthcare in several ways:
1. It can help doctors make more accurate diagnoses by analyzing large amounts of medical data.
2. AI is already being used in areas like radiology to identify diseases in medical images.
3. It shows promise in personalized treatment recommendations by analyzing individual patient data.
4. In the future, AI may be able to perform some medical tasks like surgery more precisely than humans.
Rock Report: Personalization in Consumer Health by @Rock_HealthRock Health
Overview of personalization in healthcare, including opportunities, barriers and case studies related to a market estimated to reach $450B+ by 2015. Purchase the report here: https://gumroad.com/l/XxcA
The document discusses researching large-scale IT programs in healthcare and proposes a new theoretical approach. It introduces structuration theory and actor-network theory to help conceptualize what happens at both the macro and micro levels when networked health record systems are introduced. While such systems aim to modernize and improve care, the outcomes are complex and unpredictable. New theories are needed to illuminate how social structures, individual actions, and technologies interact and evolve in nonlinear ways.
The document discusses how cognitive AI can augment doctors and clinicians by helping them address various challenges. It describes how doctors are challenged by the large volume of disparate data from various sources, keeping up with the constantly increasing research literature, selecting personalized treatment plans, and generating novel insights. Researchers face challenges such as exploring connections across domains and generating new insights. The document then introduces IBM Watson and describes how its capabilities such as natural language processing, machine learning, and visual recognition can help extract insights from vast amounts of data and published literature to help doctors understand patient conditions, formulate treatment options, and select personalized plans. It asserts that cognitive AI can engage patients, improve outcomes, and control costs in healthcare.
AI and VR in Health: What's Now, What's NextEnspektos, LLC
This document summarizes research on artificial intelligence (AI) and virtual reality (VR) in healthcare. It finds growing momentum and investment in both areas. For AI, focus is on predictive diagnosis and personalized treatment using machine learning. For VR, focus is on training, mental healthcare and pain reduction. Major players driving innovation include Intel, Alphabet and startups receiving funding. Both AI and VR are converging with other technologies to transform various aspects of healthcare.
Artificial Intelligence and Machine Learning are transforming the work of human labor. Healthcare professionals will see their work transformed and augmented with this technology, but the manner in which these changes will occur is nuanced. In this presentation, I will explore the manner in which the labor of healthcare will be transformed, review evidence to support this prediction, and remark on the changes already underway.
- HealthTech innovation is disrupting healthcare and its established players
- Technology is driving a new paradigm to create better health care
- Developing markets can leapfrog their healthcare infrastructure limitations
- New opportunities are opening to shape the new paradigm
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 the application of machine learning in healthcare. It begins with an introduction of the author and their background in machine learning engineering. It then discusses the UN Sustainable Development Goals around health and highlights non-communicable and infectious diseases as areas machine learning could help address. The document outlines how machine learning can help expand medical knowledge, disseminate information, enable personalized medicine, and increase patient engagement. It also discusses best practices for business understanding, data modeling, and feature engineering when applying machine learning in healthcare.
Healthcare, along with many other sectors, is facing increasing uncertainty driven by technology disruption and greater individual / patient empowerment. The barrier to entry into the sector is dropping fast enabling Asia entrepreneurs to significantly improve the Asia healthcare ecosystem
Artificial intelligence is disrupting healthcare in several ways:
- AI is improving disease prediction, customized medicine development, and other areas of human biology.
- The growth of AI in healthcare is driven by factors like increased funding, demand for precision medicine, and cost reductions, allowing for more accurate and early disease diagnosis.
- However, some end users are reluctant to adopt AI healthcare technologies due to lack of trust and potential risks, though AI also offers opportunities to improve outcomes for patients and in emerging markets.
Healthcare delivery is becoming an increasingly complex operation. Nurses, physicians and other allied healthcare professionals are increasingly measured on their quality of work, even with increasing patient volume and patient complexity. Technology, from sensors to analytics to software based decision support and automation, have the potential to both leverage our healthcare provider workforce to mange increasing demands and to improve quality. This presentation will focus on the key areas of opportunity for technology to improve the capabilities of healthcare providers in delivering quality care.
With exponential innovation in digital medicine and mobile health, what is utterly lacking is evidence generation and implementation science to help transform health systems into learning healthcare systems. This talk was given at Connected Health Conference, Dec 2016 as part of NODE Health Initiative.
A Cognitive-Based Semantic Approach to Deep Content Analysis in Search EnginesMei Chen, PhD
We present a cognitive-based semantic approach that uses rule-based Natural Language Processing (NLP) in conjunction with a world model and cognitive frames to semantically analyze, understand, and rank digital text in search engines. The goal is to improve the relevance, accuracy, and efficiency of information search. The world model represents things existing in the real world (e.g., subject-related ontologies or classifications essential for understanding the topics to be analyzed) whereas cognitive frames specify possible users’ interactions with the world, including things that people should know or do (e.g., tasks, methods, procedures, cognitive processes) in such interactions. Using a rule-based semantic approach in conjunction with a subject-related world model and task-relevant cognitive frames to understand and evaluate text is innovative approach in search engine technology. It addresses three limitations of the existing approaches: the inadequate measure of the meaningful content in web pages; a poor understanding of users’ intention and tasks in their search and, the irrelevance and inaccuracy of search results. This method has led to the successful implementation of a full-scale semantic search engine in medicine (available at Seenso.com). The method is applicable and adaptable to other disciplines and other types of computer applications.
The Smart Health Centers project places trained health information specialists (Navigators) in traditional and non-traditional health facilities to assist patients in connecting to their own medical records and find reliable information about their own conditions. All Navigators are trained in the Smart Health Center Model using this training guide.
The document discusses opportunities and challenges in healthcare information technology. It notes that while IT is underinvested in healthcare compared to other industries, it has strong potential as a driver of higher quality care. New business models are emerging that use IT to enable more efficient workflows, new therapies, decentralized care, and pay-for-performance systems. However, the healthcare sector faces challenges of fragmentation, lack of standards, and high costs of ensuring privacy and security. Overall the document argues that IT innovation can help better align all stakeholders in healthcare and lower costs while improving outcomes.
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.”
Abstract:
Currently, there is a convergence of three key factors in the global landscape that creates an opportunity for the research community to make fundamental contributions to improving the quality of life of every single citizen. Conversely, failure to recognize and act on this phenomenon may have disastrous effects on multiple levels. The first factor is the unprecedented focus and willingness to invest in the healthcare industry. The second factor is the fact that the prime directive of the healthcare sector, i.e. nothing interferes with the delivery of care, has ramifications on every aspect of information technology used in this domain. The final factor is the recognition that patient empowerment and buy-in will be critical for the advance of health information technology. These factors highlight the fact that there are inherent assumptions in the existing access models that render them ineffective and not applicable for long term use in the healthcare field.
This talk will highlight all these issues and challenge the research community to delve more the industry-specific constraints that require further innovation in the space; possibly necessitating a re-examination of the core assumptions in the field.
Bio:
Tyrone Grandison is currently the Program Manager for Core Healthcare Services in the Healthcare Transformation group of the IBM Services Research organization (Hawthorne, New York). His immediate interests are in developing innovative solutions for ensuring patient privacy protection and for integrating information from multiple sources to get more complete views of patients to enable better decision making. Prior to this, Tyrone led the Intelligent Information Systems (Quest) team in the Computer Science department at the IBM Almaden Research Center (San Jose, California). The team pioneered research in Relational Database Privacy, Disclosure-Compliant Query Processing for RFID and Mobile Data Networks, Security Exception Handling in Healthcare Information Systems and Large Scale Text Analysis of Online Data. Tyrone is a Distinguished Engineer of the Association of Computing Machinery (ACM), Senior Member of the Institute of Electrical and Electronics Engineers (IEEE) and has been further recognized by the IEEE (2010 Technical Achievement Award), the National Society of Black Engineers (i.e. Pioneer of the Year 2009) and the Black Engineer of the Year Award Board (i.e. Modern Day Technology Leader 2009, Minority in Science Trailblazer 2010). Tyrone received his B.Sc. and M.Sc. degrees from the University of the West Indies, Jamaica in 1997 and 1998, respectively, and a Ph.D. degree from the Imperial College of Science, Technology and Medicine in the United Kingdom.
Presented: June 9, 2010
Algorithms and bias: What lenders need to knowWhite & Case
The algorithms that power fintech may discriminate in ways that can be difficult to anticipate—and financial institutions can be held accountable even when alleged discrimination is clearly unintentional.
The document discusses the role of artificial intelligence in healthcare. It describes various aspects of AI including machine learning, knowledge engineering, robotics, and machine perception. It notes that AI has great potential to improve healthcare by helping address issues like workforce shortages and rising patient needs as populations age. However, successfully integrating AI into healthcare systems faces challenges like overcoming technical and regulatory limitations, addressing ethical concerns, and ensuring AI is used to augment rather than replace human professionals. Overall, the document presents an overview of AI in healthcare, its opportunities and challenges.
Future of patient data global summary - 29 may 2018Future Agenda
The document summarizes expert discussions from 12 events around the world between September 2017 and January 2018 on the topic of the future of patient data. It identifies shared challenges around integration, ownership, and trust of patient data as well as opportunities around personalization, data marketplaces, and the impact of artificial intelligence. Emerging issues discussed include data sovereignty, digital inequality, and the privatization of health information. The conclusion notes both the potential for patient data to improve healthcare as well as challenges in ensuring benefits are realized, especially for vulnerable groups.
Artificial intelligence is significantly changing the healthcare industry by analyzing large amounts of data to aid clinical decision making, drive cost savings, and advance precision medicine. AI shows promise in supporting diagnosis and treatment by harnessing genomic and health records data, and in the future may autonomously perform some medical tasks. However, the healthcare industry must also address privacy, security, and human-centered design challenges to ensure the safe and effective development and use of AI.
This document provides an overview and summary of key concepts related to applying service science principles to health systems. It begins with an introduction to service science and findings from Vargo and Lusch on service-dominant logic. It then provides overviews of the American healthcare system and literature on key concepts. The document outlines innovation processes for health systems and discusses IT enhancements like e-healthcare, big data, mobile technologies, and telemedicine. It provides examples of successful health systems like Bumrungrad Hospital and discusses the Affordable Care Act and future directions including reducing costs and improving coordination through technologies like cognitive computing.
The document discusses researching large-scale IT programs in healthcare and proposes a new theoretical approach. It introduces structuration theory and actor-network theory to help conceptualize what happens at both the macro and micro levels when networked health record systems are introduced. While such systems aim to modernize and improve care, the outcomes are complex and unpredictable. New theories are needed to illuminate how social structures, individual actions, and technologies interact and evolve in nonlinear ways.
The document discusses how cognitive AI can augment doctors and clinicians by helping them address various challenges. It describes how doctors are challenged by the large volume of disparate data from various sources, keeping up with the constantly increasing research literature, selecting personalized treatment plans, and generating novel insights. Researchers face challenges such as exploring connections across domains and generating new insights. The document then introduces IBM Watson and describes how its capabilities such as natural language processing, machine learning, and visual recognition can help extract insights from vast amounts of data and published literature to help doctors understand patient conditions, formulate treatment options, and select personalized plans. It asserts that cognitive AI can engage patients, improve outcomes, and control costs in healthcare.
AI and VR in Health: What's Now, What's NextEnspektos, LLC
This document summarizes research on artificial intelligence (AI) and virtual reality (VR) in healthcare. It finds growing momentum and investment in both areas. For AI, focus is on predictive diagnosis and personalized treatment using machine learning. For VR, focus is on training, mental healthcare and pain reduction. Major players driving innovation include Intel, Alphabet and startups receiving funding. Both AI and VR are converging with other technologies to transform various aspects of healthcare.
Artificial Intelligence and Machine Learning are transforming the work of human labor. Healthcare professionals will see their work transformed and augmented with this technology, but the manner in which these changes will occur is nuanced. In this presentation, I will explore the manner in which the labor of healthcare will be transformed, review evidence to support this prediction, and remark on the changes already underway.
- HealthTech innovation is disrupting healthcare and its established players
- Technology is driving a new paradigm to create better health care
- Developing markets can leapfrog their healthcare infrastructure limitations
- New opportunities are opening to shape the new paradigm
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 the application of machine learning in healthcare. It begins with an introduction of the author and their background in machine learning engineering. It then discusses the UN Sustainable Development Goals around health and highlights non-communicable and infectious diseases as areas machine learning could help address. The document outlines how machine learning can help expand medical knowledge, disseminate information, enable personalized medicine, and increase patient engagement. It also discusses best practices for business understanding, data modeling, and feature engineering when applying machine learning in healthcare.
Healthcare, along with many other sectors, is facing increasing uncertainty driven by technology disruption and greater individual / patient empowerment. The barrier to entry into the sector is dropping fast enabling Asia entrepreneurs to significantly improve the Asia healthcare ecosystem
Artificial intelligence is disrupting healthcare in several ways:
- AI is improving disease prediction, customized medicine development, and other areas of human biology.
- The growth of AI in healthcare is driven by factors like increased funding, demand for precision medicine, and cost reductions, allowing for more accurate and early disease diagnosis.
- However, some end users are reluctant to adopt AI healthcare technologies due to lack of trust and potential risks, though AI also offers opportunities to improve outcomes for patients and in emerging markets.
Healthcare delivery is becoming an increasingly complex operation. Nurses, physicians and other allied healthcare professionals are increasingly measured on their quality of work, even with increasing patient volume and patient complexity. Technology, from sensors to analytics to software based decision support and automation, have the potential to both leverage our healthcare provider workforce to mange increasing demands and to improve quality. This presentation will focus on the key areas of opportunity for technology to improve the capabilities of healthcare providers in delivering quality care.
With exponential innovation in digital medicine and mobile health, what is utterly lacking is evidence generation and implementation science to help transform health systems into learning healthcare systems. This talk was given at Connected Health Conference, Dec 2016 as part of NODE Health Initiative.
A Cognitive-Based Semantic Approach to Deep Content Analysis in Search EnginesMei Chen, PhD
We present a cognitive-based semantic approach that uses rule-based Natural Language Processing (NLP) in conjunction with a world model and cognitive frames to semantically analyze, understand, and rank digital text in search engines. The goal is to improve the relevance, accuracy, and efficiency of information search. The world model represents things existing in the real world (e.g., subject-related ontologies or classifications essential for understanding the topics to be analyzed) whereas cognitive frames specify possible users’ interactions with the world, including things that people should know or do (e.g., tasks, methods, procedures, cognitive processes) in such interactions. Using a rule-based semantic approach in conjunction with a subject-related world model and task-relevant cognitive frames to understand and evaluate text is innovative approach in search engine technology. It addresses three limitations of the existing approaches: the inadequate measure of the meaningful content in web pages; a poor understanding of users’ intention and tasks in their search and, the irrelevance and inaccuracy of search results. This method has led to the successful implementation of a full-scale semantic search engine in medicine (available at Seenso.com). The method is applicable and adaptable to other disciplines and other types of computer applications.
The Smart Health Centers project places trained health information specialists (Navigators) in traditional and non-traditional health facilities to assist patients in connecting to their own medical records and find reliable information about their own conditions. All Navigators are trained in the Smart Health Center Model using this training guide.
The document discusses opportunities and challenges in healthcare information technology. It notes that while IT is underinvested in healthcare compared to other industries, it has strong potential as a driver of higher quality care. New business models are emerging that use IT to enable more efficient workflows, new therapies, decentralized care, and pay-for-performance systems. However, the healthcare sector faces challenges of fragmentation, lack of standards, and high costs of ensuring privacy and security. Overall the document argues that IT innovation can help better align all stakeholders in healthcare and lower costs while improving outcomes.
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.”
Abstract:
Currently, there is a convergence of three key factors in the global landscape that creates an opportunity for the research community to make fundamental contributions to improving the quality of life of every single citizen. Conversely, failure to recognize and act on this phenomenon may have disastrous effects on multiple levels. The first factor is the unprecedented focus and willingness to invest in the healthcare industry. The second factor is the fact that the prime directive of the healthcare sector, i.e. nothing interferes with the delivery of care, has ramifications on every aspect of information technology used in this domain. The final factor is the recognition that patient empowerment and buy-in will be critical for the advance of health information technology. These factors highlight the fact that there are inherent assumptions in the existing access models that render them ineffective and not applicable for long term use in the healthcare field.
This talk will highlight all these issues and challenge the research community to delve more the industry-specific constraints that require further innovation in the space; possibly necessitating a re-examination of the core assumptions in the field.
Bio:
Tyrone Grandison is currently the Program Manager for Core Healthcare Services in the Healthcare Transformation group of the IBM Services Research organization (Hawthorne, New York). His immediate interests are in developing innovative solutions for ensuring patient privacy protection and for integrating information from multiple sources to get more complete views of patients to enable better decision making. Prior to this, Tyrone led the Intelligent Information Systems (Quest) team in the Computer Science department at the IBM Almaden Research Center (San Jose, California). The team pioneered research in Relational Database Privacy, Disclosure-Compliant Query Processing for RFID and Mobile Data Networks, Security Exception Handling in Healthcare Information Systems and Large Scale Text Analysis of Online Data. Tyrone is a Distinguished Engineer of the Association of Computing Machinery (ACM), Senior Member of the Institute of Electrical and Electronics Engineers (IEEE) and has been further recognized by the IEEE (2010 Technical Achievement Award), the National Society of Black Engineers (i.e. Pioneer of the Year 2009) and the Black Engineer of the Year Award Board (i.e. Modern Day Technology Leader 2009, Minority in Science Trailblazer 2010). Tyrone received his B.Sc. and M.Sc. degrees from the University of the West Indies, Jamaica in 1997 and 1998, respectively, and a Ph.D. degree from the Imperial College of Science, Technology and Medicine in the United Kingdom.
Presented: June 9, 2010
Algorithms and bias: What lenders need to knowWhite & Case
The algorithms that power fintech may discriminate in ways that can be difficult to anticipate—and financial institutions can be held accountable even when alleged discrimination is clearly unintentional.
The document discusses the role of artificial intelligence in healthcare. It describes various aspects of AI including machine learning, knowledge engineering, robotics, and machine perception. It notes that AI has great potential to improve healthcare by helping address issues like workforce shortages and rising patient needs as populations age. However, successfully integrating AI into healthcare systems faces challenges like overcoming technical and regulatory limitations, addressing ethical concerns, and ensuring AI is used to augment rather than replace human professionals. Overall, the document presents an overview of AI in healthcare, its opportunities and challenges.
Future of patient data global summary - 29 may 2018Future Agenda
The document summarizes expert discussions from 12 events around the world between September 2017 and January 2018 on the topic of the future of patient data. It identifies shared challenges around integration, ownership, and trust of patient data as well as opportunities around personalization, data marketplaces, and the impact of artificial intelligence. Emerging issues discussed include data sovereignty, digital inequality, and the privatization of health information. The conclusion notes both the potential for patient data to improve healthcare as well as challenges in ensuring benefits are realized, especially for vulnerable groups.
Artificial intelligence is significantly changing the healthcare industry by analyzing large amounts of data to aid clinical decision making, drive cost savings, and advance precision medicine. AI shows promise in supporting diagnosis and treatment by harnessing genomic and health records data, and in the future may autonomously perform some medical tasks. However, the healthcare industry must also address privacy, security, and human-centered design challenges to ensure the safe and effective development and use of AI.
This document provides an overview and summary of key concepts related to applying service science principles to health systems. It begins with an introduction to service science and findings from Vargo and Lusch on service-dominant logic. It then provides overviews of the American healthcare system and literature on key concepts. The document outlines innovation processes for health systems and discusses IT enhancements like e-healthcare, big data, mobile technologies, and telemedicine. It provides examples of successful health systems like Bumrungrad Hospital and discusses the Affordable Care Act and future directions including reducing costs and improving coordination through technologies like cognitive computing.
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.
Final file of digitive healthcare ilovepdf-compressedinsightscare
Such healthcare providers always foster a healthy team environment at their workplace and engage in behaviors that benefit the team and display empathic behaviors when interacting with patients and their family members. To highlight such great healthcare providers, we have come up with an issue of “The 10 Most Innovative Digital Healthcare Solution Providers 2018”.
The 10 most innovative digital healthcare solution providers 2018 convertedinsightscare
Such healthcare providers always foster a healthy team environment at their workplace and engage in behaviors that benefit the team and display empathic behaviors when interacting with patients and their family members. To highlight such great healthcare providers, we have come up with an issue of “The 10 Most Innovative Digital Healthcare Solution Providers 2018”.
Med Device Vendors Have Big Opportunities in Health IT Software, Services, an...Shahid Shah
If you’re in the medical device manufacturing or hardware sales business your revenue growth (CAGR) is under pressure like never before. You’re being asked to do more with less but you’re probably going to find that hard to accomplish because of one or more of the following challenges:
* Longer product development timelines caused by more FDA and other government regulations
* Increased demand by customers to have your devices deliver user experiences that are more like “consumer” devices such as cell phones and tablets
* Lower margins as a reaction to commodity competition (your sensor hardware business will be commoditized faster and faster over time)
* More complex and longer sales cycles because devices are now being approved for sale not by facilities and clinical executives alone but increasingly by CIOs and IT teams
* Increased cost of risk management and compliance caused by connectivity requirements
Any one of these challenges is difficult to meet but these days you’re probably being asked to meet more than one simultaneously. The solutions are not simple but the good news is that medical device manufacturers have many revenue generation opportunities today that can fund the new strategic imperatives you’ll need to put into place to meet the challenges listed above.
This briefing, presented by Netspective CEO Shahid Shah, describes some of the opportunities and how device vendors can take advantage of them.
Health systems recognize the potential of digital health but e-health programs have had modest returns. Ambitious initiatives focus on providing clinicians information but struggle with legacy systems that impede data integration. The solution is a digital services platform that holds healthcare data and optimizes access through APIs and services for identity, access and consent management. This platform could serve as an innovation ecosystem for third-party digital health services and advanced by health systems. It could revolutionize health services and help bend the cost curve through contextualized information, ushering in an era of "Healthcare 3.0."
The Power of Sensors in health & healthcareD3 Consutling
In a series of reports we explore key digital health trends and related opportunities for technology companies, healthcare providers and patients-consumers. We take both an international and Flemish perspective, the latter based on interviews with local stakeholders. In this report we focus on sensor-based applications.
iMinds insights on citizen health empowermentiMindsinsights
As more people are living longer than before and with chronic disease on the rise, disease prevention alone is no longer enough. Citizens need to take more control over their health – by giving them greater access to their personal health information and equipping them with tools and insights to better manage their lifestyles.
iMinds insights is a quarterly publication providing you with relevant tech updates based on interviews with academic and industry experts. iMinds is a digital research center and incubator based in Belgium.
Welcome to the age of cognitive computing: where intelligent machines have
moved from the realms of science fiction to the present day. This groundbreaking
technology is driving advanced discoveries and allowing improved decision-making –
resulting in better patient care
Healthcare Information Technology Trends.docxwrite4
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In the future
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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.
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Tt511 iot letter-1.0
1. L E V E R AG I N G T H E
Internet of Things
to improve Patient Outcomes
O c t o b e r 2 7 - 3 1 , 2 0 1 5
2. In recent years, the healthcare industry has placed
increasing focus on the Internet of Things (IoT) to
improve patient outcomes, creating a market
segment expected to hit $117 billion by 2020. While
the rise of IoT technology has enormous potential to
improve the efficiency, effectiveness and safety of
patient care around the world, it also presents
unique challenges and requires fast adaptation
within and between organizations. This Think-Tank
brought together healthcare leaders, technology
innovators and researchers to explore how
cutting-edge IoT solutions will improve patient
outcomes, and understand the collaborations,
technology investments, and further conversations
necessary to maximize the opportunities.
15
Participants
25
Observers
67
Posts
2
Surveys
3. “The IoT is empowering the patient, they have the potential to know more about their
condition today than ever before, with apps and wearables. This trend combined with
the increasing growth in genomics and personalized medicine will redefine existing
therapy, processes and practices.”
ADEBAYO ONIGBANJO | Marketing Strategist, Entrepreneur, Technologist
“Connected devices will be ubiquitous...some of these devices, and/or data may be
relevant to patient health monitoring, diagnostic... thus could help improve, for
example, patient experience, security or safety.”
REMY POTTIER | Director of Strategy at ARM
Connective Devices are changing the
healthcare landscape, and have the
power to bring big benefit to patients
and providers.
Connective Devices are changing the
healthcare landscape, and have the
power to bring big benefit to patients
and providers.
KEY FINDINGS
4. “Predictive analytics can help enable the patient and physician to intervene early and
hopefully prevent potentially unsavory outcomes/diseases… Companies like deCODE
(probably many others) are using baseline genetics and are trying to come up with
predictors of disease based on numerous data points.”
HARLAN MATLES | Physician / Owner at MD² Menlo Park
“Memorial Sloan Kettering in NYC...uses IBM Watson’s cognitive capabilities and
intelligent IoT sensors to assist 125,000 physicians perform gene sequencing on breast
cancer tumors. Oncologists can now identify and distinguish over 50 types of breast
cancer tumors and develop more targeted and effective cancer treatments.”
LAURA DIDIO | Director Enterprise Research & Consulting at Strategy Analytics
Participants shared five trending applications
for IoT Technology in healthcare:
PREDICTIVE ANALYTICSPREDICTIVE ANALYTICS
PERSONALIZED CAREPERSONALIZED CARE
“A solution we just worked on at Zebra Technologies is a Time Tracking Solution for
Acute Myocardial Infraction – it helps hospitals accurately monitor the
door-to-balloon time. This system takes the task away from nurses or other care-givers
and automates the process, in addition it provides real-time feedback (without the
audio for now) to care-givers to enable them understand how they are performing.”
ADEBAYO ONIGBANJO | Marketing Strategist, Entrepreneur, Technologist
EFFICIENCY AND SPEED OF CAREEFFICIENCY AND SPEED OF CARE
5. Participants plotted the trending applications for IoT Technology in
healthcare based on their feasibility and impact on patient outcomes:
Participants plotted the trending applications for IoT Technology in
healthcare based on their feasibility and impact on patient outcomes:
FeasibilityofTechnology
andAdoption
Positive Impact (enhanced quality of care)
HIGHER
LOWER HIGHER
Remote Patient monitoring
(e.g. elderly or drug injection) Predictive Analytics (and
related preventative care)
Personalized Care (ensuring
HEALTH between visits)
Efficiency and Speed of Care
(e.g. hospital operations)
Virtual Assistance (tele and
mobile health)
“Frail patients (elderly for example) - Think of covering a home in sensors. Monitoring
gait in the hallways, monitoring how often the toilet is used, how often the fridge is
opened. This could be a customized solution to keep people safely in their homes based
on their personal health situation/functional limitations. Oregon Health Sciences
University has been experimenting with this type of work.”
SARAH DONELSON TREASE | Global Head of Outcomes Measurement at Genentech
REMOTE PATIENT MONITORINGREMOTE PATIENT MONITORING
“Mercy hospital which is a completely virtual hospital. There are *no* patient beds in
the hospital. Rather it is a building with technology and clinicians who are equipped
to provide care to patients anywhere in the world. Fascinating!”
SARAH DONELSON TREASE | Global Head of Outcomes Measurement at Genentech
VIRTUAL ASSISTANCEVIRTUAL ASSISTANCE
6. “Big Data Analytics which is the BIG
Differentiator in IoT has the potential to
have enormous positive technology and
business impact on the U.S. healthcare
industry which accounts for one-sixth
of the American economy.”
LAURA DIDIO | Director Enterprise
Research & Consulting at Strategy
Analytics
“A ponemon institute study found that
94% of healthcare institutions have
experienced a data breach involving one
or more records in the past two years.
On average it costs hospitals $201 for
each hacked data record.”
LAURA DIDIO| Director Enterprise
Research & Consulting at Strategy
Analytics
Big Data is key to driving the movement,
but can present a double-edged sword.
Big Data is the glue that binds
IoT to predictive analytics and
personalized health...
...but data security and
assurance of non monopolization
of data are critical.
“ ‘Big data’, which will help doctors and
researchers find trends, make
predictions and even discover cures,
simply because of a large statistical
sample in the dataset.”
BORIS KONTSEVOI, COP | President &
CEO at Intetics Co, 30 years of Software
Product Development expertise
“For all this to become a reality, IoT
solutions in part of data analytics and
future communication standards will
have to remain open source.”
BORIS KONTSEVOI, COP | President &
CEO at Intetics Co, 30 years of Software
Product Development expertise
7. Connected Care will require a cultural shift in
healthcare that transforms incentives,
connects data seamlessly, and puts the voice of
patient at the center of collaboration efforts.
“Increasing the flow of data, safely, through interoperability between devices,
applications, clinical workflows and of course, the EHR is a must... It requires
collaboration between competitors and between clinicians and technologists.”
JILL MCCORMICK | Innovation Manager at TechSpring
Participants were asked to select up to three imperatives they
felt most strongly about to ensure positive patient outcomes
through IoT Technology and Services
Participants were asked to select up to three imperatives they
felt most strongly about to ensure positive patient outcomes
through IoT Technology and Services
Cultural shift in the healthcare industry
Insurance reimbursement shift
Voice of patient more central
Interoperability of data
Open source-non monopolization/over regulation of data
Greater collaboration across systems
The right incentives for doctors
Security of Big Data
67%
50%
50%
33%
33%
33%
17%
17%
Results based on input of 6
contributors.
The percentage of participants who selected each particular imperative...
8. “Harnessing the power of the patient is key. The patient is the most underutilized
resource in healthcare, they are the key stakeholder in keeping themselves healthy.”
JILL MCCORMICK | Innovation Manager at TechSpring
PATIENTS ARE THE MOST UNDERUTILIZED
RESOURCE IN HEALTHCARE
PATIENTS ARE THE MOST UNDERUTILIZED
RESOURCE IN HEALTHCARE
“Bring patients to the table - for everything. This includes study design, pipeline
reviews, hospital design - everything. Have the courage to put a patient on team that
designs and execute a protocol. You will have more meaningful endpoints and a trial
that enrolls more quickly”
SARAH DONELSON TREASE | Global Head of Outcomes Measurement at Genentech
THEY SHOULD BE PRESENT AT EVERY TABLE
TO ENSURE MEANINGFUL ENDPOINTS
THEY SHOULD BE PRESENT AT EVERY TABLE
TO ENSURE MEANINGFUL ENDPOINTS
Patients must be empowered to
manage their own health, and their
preferences are amplified through
behavior with IoT technology itself.
9. “I would broaden the question from how to put patients in charge of their health CARE,
which is a worthy and partially achievable goal, to how to put consumers in charge of
their own HEALTH.”
ROBERT MCCRAY | President & CEO at Wireless-Life Sciences Alliance
FOCUS SHOULD BE LESS ON CARE WHEN SICK,
AND MORE ON HEALTH ONGOING
FOCUS SHOULD BE LESS ON CARE WHEN SICK,
AND MORE ON HEALTH ONGOING
“The patient = the customer. IoT offers many analogous benefits to observational
ethnographic techniques of Design Thinking. Rather than ask customers what they
want, watch their behavior.”
JACKIE COOPER | Executive Director at Management Roundtable
IOT TECHNOLOGY ENABLES PEOPLE TO SIGNAL
WHAT THEY WANT THROUGH THEIR BEHAVIOR
IOT TECHNOLOGY ENABLES PEOPLE TO SIGNAL
WHAT THEY WANT THROUGH THEIR BEHAVIOR
10. IoT technology opens opportunities for
“four Ps” collaboration to ensure positive
health outcomes, as long as egos and
old-school assumptions can be overcome.
IoT technology opens opportunities for
“four Ps” collaboration to ensure positive
health outcomes, as long as egos and
old-school assumptions can be overcome.
"A patient who truly has their condition under control (aka highest quality of life at the
lowest cost) will be taking their medications regularly, as prescribed, and be in
communication with their care team to make positive shared decisions. That is a win
win for all 4 P's involved. The patient, provider, payer and pharma."
JILL MCCORMICK | Innovation Manager at TechSpring
"A future example may be the first big pharmaceutical company to enter into
collaborations with providers and payers to create at risk vertically integrated
networks for chronic diseases."
ROBERT MCCRAY | President & CEO at Wireless-Life Sciences Alliance
"I still see the biggest gaps in the inter-communications among various physicians and
healthcare organizations who share the same patient, e.g. a collision of egos to the
detriment of the patient."
LAURA DIDIO | Director Enterprise Research & Consulting at Strategy Analytics
"The culture of medicine needs to transform to one of partnership which can't happen
when there are still vestiges of the very old school notions ‘the doctor has all the
answers and don't question.’"
SARAH DONELSON TREASE | Global Head of Outcomes Measurement at Genentech
11. Participants shared their visions for what
a healthcare landscape will look like
moving forward with IoT technologies.
“Every human will be assigned a personal IP
address at birth. It will serve as a centerpiece for
a personal network (of IoT sensors) with
possibility to add “friendly” devices (gadgets,
homes, cars, friends, DOCTORS, etc.)”
BORIS KONTSEVOI, COP | President & CEO at
Intetics Co, 30 years of Software Product
Development expertise
IP IP
“Healthcare will happen at home or "on the go".
Have 10 min at work? Have a visit or do your lab
tests. Monitoring of health status will be able to
be constant, people will own their own data
without any question, have analytics that help
them understand the meaning of the data and
make choices that are meaningful to them about
how to maintain/improve health.”
SARAH DONELSON TREASE | Global Head of
Outcomes Measurement at Genentech
“From the 100,000 foot level, I envision a future
in which citizens are connected to their own
health and in which healthcare is connected,
distributed and integrated seamlessly across all
providers irrespective of venue.”
ROBERT MCCRAY | President & CEO at
Wireless-Life Sciences Alliance
12. ConclusionsConclusions
This public thought leader dialogue reinforced that
we are in the midst of a technology-enabled
revolution in healthcare. A world of IoT sensors
and the Big Data it enables has the power to
personalize and improve care, predict conditions,
and enable access and affordable service to
previously under-reached communities.
Rather than a sci-fi fantasty, the future of IoT
healthcare is already here. While fractured, the
technology exists and its capabilities are growing
exponentially. The success in ensuring patient
health and empowerment hinges on our ability to
shift the culture of care, rethink incentives,
collaborate across systems, and put the patient
voice at the center of it all.
This public thought leader dialogue reinforced that
we are in the midst of a technology-enabled
revolution in healthcare. A world of IoT sensors
and the Big Data it enables has the power to
personalize and improve care, predict conditions,
and enable access and affordable service to
previously under-reached communities.
Rather than a sci-fi fantasty, the future of IoT
healthcare is already here. While fractured, the
technology exists and its capabilities are growing
exponentially. The success in ensuring patient
health and empowerment hinges on our ability to
shift the culture of care, rethink incentives,
collaborate across systems, and put the patient
voice at the center of it all.
13. Participants
HARLAN MATLES
physician / Owner at MD² Menlo Park
LAURA DIDIO
Director Enterprise Research & Consulting at Strategy Analytics
SARAH DONELSON TREASE
Global Head of Outcomes Measurement at Genentech
BORIS KONTSEVOI, COP
President & CEO at Intetics Co, 30 years of Software Product Development expertise
JACKIE COOPER
Executive Director at Management Roundtable
14. Participants
Powered by
ADEBAYO ONIGBANJO
Marketing Strategist, Entrepreneur, Technologist
REMY POTTIER
Director of Strategy at ARM
JILL MCCORMICK
Innovation Manager at TechSpring
ROBERT MCCRAY
President & CEO at Wireless-Life Sciences Alliance