The document discusses how Internet of Things (IoT) technology can be used to automatically track important public health data in real-time. IoT devices can monitor things like food temperatures and chemical levels and instantly report any issues. This allows health inspectors and food producers to be more proactive in ensuring safety. The technology is becoming more common and affordable. It provides credible, unbiased data and can help detect problems between inspections. The data could also be pooled nationally to help identify broader food safety patterns.
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.
This document discusses the accuracy of consumer health wearables. It summarizes a study that tested the accuracy of Fitbit devices during different physical activities. The study found that Fitbit devices worn on the hip accurately counted steps while those worn on the wrist were off by about 11 steps per minute. Hip-based devices also better estimated calories burned. While consumer wearables are becoming more common, their use in clinical settings remains limited due to concerns about accuracy, reliability and regulatory approval. Efforts are underway to address these issues to help integrate wearables into healthcare.
This document discusses big data in healthcare and whether big data is always good data. It notes that large amounts of medical data are generated each day from various sources but quality is a challenge. Three characteristics of big data are described: volume, velocity and variety. For big data to be good, it must be valid and valuable. Challenges include quality, inconsistency, security and regulation. New technologies now allow continuous remote health monitoring but also raise ethical issues. Adverse drug events are a growing issue and most safety reports are missing basic data details. Collecting high-quality safety reports directly from individuals could provide purer data to inform medicine understanding and use.
Top Wearables Predictions for the Year Ahead and 2018: Year in ReviewValencell, Inc
Where is wearable technology heading and what can we expect from the wearables market? When it comes to biometric wearables and hearables, we've only scratched the surface of what's possible. In this webinar, Dr. Steven LeBoeuf takes a look back at trends and achievements in wearables in 2018 and weighs in on the outcomes of last year's predictions. We also highlight some unexpected changes you need to be ready for in 2019 and beyond.
DAMA Webinar - Big and Little Data QualityDATAVERSITY
While technological innovation brings constant change to the data landscape, many organizations still struggle with the basics: ensuring they have reliable, high quality data. In health care, the promise of insight to be gained through analytics is dependent on ensuring the interactions between providers and patients are recorded accurately and completely. While traditional health care data is dependent on person-to-person contact, new technologies are emerging that change how health care is delivered and how health care data is captured, stored, accessed and used. Using health care as a lens through which to understand the emergence of big data, this presentation will ask the audience to think about data in old and new ways in order to gain insight about how to improve the quality of data, regardless of size.
Disrupting Conventional Therapies with Digital TherapiesMedullan
Join this webinar to learn about:
Bio 2.0 - what it is, what problems it aims to address, why it's important now, and what leading indicators of its potential have we seen in the market.
The new clinical development patterns that will emerge to help Life Science companies bring digital therapies and solutions to market in a predictable and sustainable way.
The potential roadblocks, the regulatory ambiguity, and its potential for clarity as these patterns take hold.
Many will still find it hard to decide what initiatives to scale up and how to determine which pathways to follow, as it’s unclear what digital success will look like five years from now. This series aims to bring innovators and industry leaders together to imagine what success could be and discuss ways to get there.
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.”
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.
This document discusses the accuracy of consumer health wearables. It summarizes a study that tested the accuracy of Fitbit devices during different physical activities. The study found that Fitbit devices worn on the hip accurately counted steps while those worn on the wrist were off by about 11 steps per minute. Hip-based devices also better estimated calories burned. While consumer wearables are becoming more common, their use in clinical settings remains limited due to concerns about accuracy, reliability and regulatory approval. Efforts are underway to address these issues to help integrate wearables into healthcare.
This document discusses big data in healthcare and whether big data is always good data. It notes that large amounts of medical data are generated each day from various sources but quality is a challenge. Three characteristics of big data are described: volume, velocity and variety. For big data to be good, it must be valid and valuable. Challenges include quality, inconsistency, security and regulation. New technologies now allow continuous remote health monitoring but also raise ethical issues. Adverse drug events are a growing issue and most safety reports are missing basic data details. Collecting high-quality safety reports directly from individuals could provide purer data to inform medicine understanding and use.
Top Wearables Predictions for the Year Ahead and 2018: Year in ReviewValencell, Inc
Where is wearable technology heading and what can we expect from the wearables market? When it comes to biometric wearables and hearables, we've only scratched the surface of what's possible. In this webinar, Dr. Steven LeBoeuf takes a look back at trends and achievements in wearables in 2018 and weighs in on the outcomes of last year's predictions. We also highlight some unexpected changes you need to be ready for in 2019 and beyond.
DAMA Webinar - Big and Little Data QualityDATAVERSITY
While technological innovation brings constant change to the data landscape, many organizations still struggle with the basics: ensuring they have reliable, high quality data. In health care, the promise of insight to be gained through analytics is dependent on ensuring the interactions between providers and patients are recorded accurately and completely. While traditional health care data is dependent on person-to-person contact, new technologies are emerging that change how health care is delivered and how health care data is captured, stored, accessed and used. Using health care as a lens through which to understand the emergence of big data, this presentation will ask the audience to think about data in old and new ways in order to gain insight about how to improve the quality of data, regardless of size.
Disrupting Conventional Therapies with Digital TherapiesMedullan
Join this webinar to learn about:
Bio 2.0 - what it is, what problems it aims to address, why it's important now, and what leading indicators of its potential have we seen in the market.
The new clinical development patterns that will emerge to help Life Science companies bring digital therapies and solutions to market in a predictable and sustainable way.
The potential roadblocks, the regulatory ambiguity, and its potential for clarity as these patterns take hold.
Many will still find it hard to decide what initiatives to scale up and how to determine which pathways to follow, as it’s unclear what digital success will look like five years from now. This series aims to bring innovators and industry leaders together to imagine what success could be and discuss ways to get there.
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.”
Transforming Healthcare: The Promise of InnovationHealth Catalyst
A number of powerful technologies are on the verge of producing dramatic change in how, when and where care is delivered, including artificial intelligence, genomics, monitoring sensors, robotics, nanotechnology, 3D printing, mobile computing technologies and others. This technology-driven change will dramatically impact all healthcare providers, and it will propel healthcare into the realm of Big Data.
Participants will:
Appreciate the role of innovation in healthcare's future.
Understand the classes of technology that will foster innovation and drive change.
Learn how technology-driven change will support data-driven improvement and population health management.
Know how these technologies will impact analytics.
Understand the application of transformational principles in light of the many engaging practitioner discussions at the recently concluded Health Analytics Summit.
The future is becoming clearer and it promises to be exciting, impactful, and powerful for patients and healthcare providers alike.
This document discusses several topics related to changes in healthcare driven by digital technology. It notes the disruption of banking by mobile technology. It discusses patients and technology, innovation in healthcare performance and quality, and disruptive technologies. It also discusses topics like crowdsourcing research, 3D printing of medications, ubiquitous connectivity, and the paradigm shift taking healthcare transformation to new levels driven by digital forces. The overall message is that digital technology is massively changing healthcare in ways that will take years to be fully realized.
With the help of Eggplant, UNC Health Care has been able to see a fast ROI. Eggplant has also allowed UNC Health Care to significantly reduce both the time and resources necessary for their integrated EPIC testing
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.
Opportunities and Challenges of Mobile Health, Wearables and Sensors for PharmaJohn Reites
This document discusses opportunities and challenges of using mobile health technologies, wearables, and sensors in pharmaceutical research. It describes a vision for the clinical research of the future where patients can be directly dosed, monitored, and engaged through digital tools from their home. Examples are provided of how electronic patient-reported outcomes, biosensors, medical records, drug delivery, and a study companion app could be integrated into a direct-to-patient research model over the course of a day. The document also outlines considerations for determining whether a particular digital health approach or device is well-suited for integration into a patient registry.
This document discusses bridging the digital health divide. It notes that while 7 in 10 U.S. adults track their health in some way, only 1 in 10 share their health data with clinicians. It also shows that the number of mobile health apps and devices has grown significantly between 2013 and 2018. The document introduces Validic as aiming to be the digital health connector, bridging the gap between individuals and their health data and clinicians by making devices more clinically accurate and data more open.
State of Wearables Today - 2018 Consumer SurveyValencell, Inc
A new national survey released today on wearables revealed that actionable, accurate health insights from wearables will be increasingly important to the success of the industry and 63% of respondents have owned a wearable device at some point, up from 42% in 2016. The online survey polled 826 consumers from a wide range of U.S. regions, ages, and income levels on their experiences and preferences around wearables. The 2018 survey is a follow-up from the same survey conducted by Valencell in 2016.
1. Target was able to determine that a teenage girl was pregnant by analyzing her purchase history and comparing it to patterns they had observed in data from thousands of other customers. They noticed she was purchasing items on their list of the top 25 products commonly bought early in pregnancy.
2. Healthcare organizations are generating vast amounts of data from sources like medical records, prescriptions, reports, and monitoring devices. The average hospital will produce over 2 petabytes of patient data per year by 2015.
3. Big data analytics can be used in healthcare for applications like real-time remote patient monitoring, tracking disease spread through epidemiology, and analyzing personal health and activity data from devices.
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.”
The health emergency underway worldwide has highlighted the need to strengthen the surveillance and care of the sick at home, to avoid hospital overcrowding that we have seen in recent months inevitably compromise the management of the emergency itself. X-RAIS is an AI tool, which as a third eye supports radiologists during the reporting phase of radiological images. Within this context, we extended X-RAIS capabilities with ALFABETO (ALl FAster BEtter TOgether).
Wearables in Clinical Trials: Opportunities and ChallengesValencell, Inc
Wearables are showing the potential to significantly impact the data available for clinical trials and medical researchers in numerous ways. While the quality and efficacy of these devices varies widely, the sensor technologies in these devices has evolved to meet the needs of many clinical research endeavors. Wearables also enable longitudinal biometric data sets that can provide unique insights into the long-term, real-world impact of pharmacotherapies and treatment protocols. There are also many challenges in using wearables in trials, including access to the raw data from wearables, validation of the data from wearable devices, processing and analysis of massive amounts of wearable data, and data security.
This webinar is an interactive discussion on the state of wearables in clinical trials and medical research, where the opportunities are and the challenges to be overcome.
This document discusses machine learning approaches for detecting healthcare fraud, waste, and abuse. It begins by outlining the scope of fraud in the US healthcare system and the large volume of healthcare data available for analysis. It then describes different types of fraud, waste, and abuse and analytical approaches used, including supervised learning models, unsupervised anomaly detection techniques, and generating provider-level features from claims data. Specific challenges in detecting healthcare fraud like imbalanced data and evolving fraud schemes are also discussed.
Data-Driven Healthcare for Manufacturers Amit Mishra
Data-driven healthcare empowers the providers with a common data platform to discover untapped data-driven opportunities. Healthcare data and its impact on the patient care decision process via accurate, real-time, reliable data from disparate sources is creating a digital health revolution. Physician groups, nursing facilities, hospitals, pharmaceutical companies, clinical researchers, and medical equipment manufacturers are all churning out vast amounts of data during their daily operations. This data has tremendous value and can revolutionize patient care, diagnosis, real-time decisions and help deliver new, unimagined innovations with quality of patient care. Know more about data-driven healthcare at https://www.solix.com/solutions/data-driven-solutions/healthcare/
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 Hive Think Tank: Unpacking AI for Healthcare The Hive
In this The Hive Think Tank talk, Ash Damle, CEO of Lumiata takes a deep dive into Lumiata’s core technological engine - the Lumiata Medical Graph, which applies graph-based machine learning to compute the complex relationships between health data in the same way that a physician would, and how this medical AI engine powers personalization and automation within risk and care management.
Artificial intelligence-powered wearable solutions for senior care: A convers...Valencell, Inc
CarePredict, a Florida-based health tech startup, aims to improve seniors’ quality of life with machine learning-driven, actionable wearables insights for care staff and management to provide peace of mind for seniors and their loved ones. By identifying changes in the daily activities and behavior patterns of seniors, predictions can be made about declines in their health, thereby enabling early intervention and adopting a proactive and preventive approach to senior care.
In this webinar, CarePredict shares about their journey from initial concept through prototyping, use case development, business development, and addressing the crisis of a widening gap in the senior to caregiver ratio.
12 Gifts of Digital Health: How Futuristic Technologies Changed Healthcare an...Enspektos, LLC
When people talk about how digital technologies will influence health, many assume changes will happen years or decades into the future. Yet, in 2014 a range of digital tech, from Big Data to genomics, gave people the gift of life, knowledge and more. Look back at the year that was in digital health and understand that he future is now.
A smart health care system called Healthcare+ or My Health aims to solve critical healthcare issues for all economic classes in India as part of Digital India. It would connect customers to affordable doctors, medical procedures, medicines, and testing through a central system. This smart health care system benefits customers by helping them locate affordable care anywhere in India to save time and money, reserve doctor appointments, and view intelligent pricing. It also benefits pharmacies and testing centers by providing personalized services, engaging customers online, offering affordable equipment and testing. The government benefits through better control of insurance schemes and subsidies, introduction of more affordable services, and use of Aadhar IDs for tracking.
List Of Figures And Functions RequirementsLeslie Lee
This document discusses the evolution of health care information systems over the past 20 years. It notes that 20 years ago, many hospitals lacked technologies that now exist, which led to issues like medical errors, lost documentation, time-consuming paperwork, and poor data collection. The document then outlines some of the key changes in health IT over this period, including the adoption of electronic health records, increased use of computers for billing and documentation, and integration of systems across organizations to improve data sharing and care coordination.
Healthcare Information Technology Trends.docxwrite4
The document discusses healthcare information technology trends, including how technologies originally developed for one purpose often find new applications that increase their usage and development. It notes that technology, both new and repurposed, will continue driving healthcare information. The document prompts reflection on technology trends observed in one's healthcare organization and discusses potential benefits and risks of these trends as they relate to data safety, legislation, and patient care outcomes.
Transforming Healthcare: The Promise of InnovationHealth Catalyst
A number of powerful technologies are on the verge of producing dramatic change in how, when and where care is delivered, including artificial intelligence, genomics, monitoring sensors, robotics, nanotechnology, 3D printing, mobile computing technologies and others. This technology-driven change will dramatically impact all healthcare providers, and it will propel healthcare into the realm of Big Data.
Participants will:
Appreciate the role of innovation in healthcare's future.
Understand the classes of technology that will foster innovation and drive change.
Learn how technology-driven change will support data-driven improvement and population health management.
Know how these technologies will impact analytics.
Understand the application of transformational principles in light of the many engaging practitioner discussions at the recently concluded Health Analytics Summit.
The future is becoming clearer and it promises to be exciting, impactful, and powerful for patients and healthcare providers alike.
This document discusses several topics related to changes in healthcare driven by digital technology. It notes the disruption of banking by mobile technology. It discusses patients and technology, innovation in healthcare performance and quality, and disruptive technologies. It also discusses topics like crowdsourcing research, 3D printing of medications, ubiquitous connectivity, and the paradigm shift taking healthcare transformation to new levels driven by digital forces. The overall message is that digital technology is massively changing healthcare in ways that will take years to be fully realized.
With the help of Eggplant, UNC Health Care has been able to see a fast ROI. Eggplant has also allowed UNC Health Care to significantly reduce both the time and resources necessary for their integrated EPIC testing
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.
Opportunities and Challenges of Mobile Health, Wearables and Sensors for PharmaJohn Reites
This document discusses opportunities and challenges of using mobile health technologies, wearables, and sensors in pharmaceutical research. It describes a vision for the clinical research of the future where patients can be directly dosed, monitored, and engaged through digital tools from their home. Examples are provided of how electronic patient-reported outcomes, biosensors, medical records, drug delivery, and a study companion app could be integrated into a direct-to-patient research model over the course of a day. The document also outlines considerations for determining whether a particular digital health approach or device is well-suited for integration into a patient registry.
This document discusses bridging the digital health divide. It notes that while 7 in 10 U.S. adults track their health in some way, only 1 in 10 share their health data with clinicians. It also shows that the number of mobile health apps and devices has grown significantly between 2013 and 2018. The document introduces Validic as aiming to be the digital health connector, bridging the gap between individuals and their health data and clinicians by making devices more clinically accurate and data more open.
State of Wearables Today - 2018 Consumer SurveyValencell, Inc
A new national survey released today on wearables revealed that actionable, accurate health insights from wearables will be increasingly important to the success of the industry and 63% of respondents have owned a wearable device at some point, up from 42% in 2016. The online survey polled 826 consumers from a wide range of U.S. regions, ages, and income levels on their experiences and preferences around wearables. The 2018 survey is a follow-up from the same survey conducted by Valencell in 2016.
1. Target was able to determine that a teenage girl was pregnant by analyzing her purchase history and comparing it to patterns they had observed in data from thousands of other customers. They noticed she was purchasing items on their list of the top 25 products commonly bought early in pregnancy.
2. Healthcare organizations are generating vast amounts of data from sources like medical records, prescriptions, reports, and monitoring devices. The average hospital will produce over 2 petabytes of patient data per year by 2015.
3. Big data analytics can be used in healthcare for applications like real-time remote patient monitoring, tracking disease spread through epidemiology, and analyzing personal health and activity data from devices.
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.”
The health emergency underway worldwide has highlighted the need to strengthen the surveillance and care of the sick at home, to avoid hospital overcrowding that we have seen in recent months inevitably compromise the management of the emergency itself. X-RAIS is an AI tool, which as a third eye supports radiologists during the reporting phase of radiological images. Within this context, we extended X-RAIS capabilities with ALFABETO (ALl FAster BEtter TOgether).
Wearables in Clinical Trials: Opportunities and ChallengesValencell, Inc
Wearables are showing the potential to significantly impact the data available for clinical trials and medical researchers in numerous ways. While the quality and efficacy of these devices varies widely, the sensor technologies in these devices has evolved to meet the needs of many clinical research endeavors. Wearables also enable longitudinal biometric data sets that can provide unique insights into the long-term, real-world impact of pharmacotherapies and treatment protocols. There are also many challenges in using wearables in trials, including access to the raw data from wearables, validation of the data from wearable devices, processing and analysis of massive amounts of wearable data, and data security.
This webinar is an interactive discussion on the state of wearables in clinical trials and medical research, where the opportunities are and the challenges to be overcome.
This document discusses machine learning approaches for detecting healthcare fraud, waste, and abuse. It begins by outlining the scope of fraud in the US healthcare system and the large volume of healthcare data available for analysis. It then describes different types of fraud, waste, and abuse and analytical approaches used, including supervised learning models, unsupervised anomaly detection techniques, and generating provider-level features from claims data. Specific challenges in detecting healthcare fraud like imbalanced data and evolving fraud schemes are also discussed.
Data-Driven Healthcare for Manufacturers Amit Mishra
Data-driven healthcare empowers the providers with a common data platform to discover untapped data-driven opportunities. Healthcare data and its impact on the patient care decision process via accurate, real-time, reliable data from disparate sources is creating a digital health revolution. Physician groups, nursing facilities, hospitals, pharmaceutical companies, clinical researchers, and medical equipment manufacturers are all churning out vast amounts of data during their daily operations. This data has tremendous value and can revolutionize patient care, diagnosis, real-time decisions and help deliver new, unimagined innovations with quality of patient care. Know more about data-driven healthcare at https://www.solix.com/solutions/data-driven-solutions/healthcare/
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 Hive Think Tank: Unpacking AI for Healthcare The Hive
In this The Hive Think Tank talk, Ash Damle, CEO of Lumiata takes a deep dive into Lumiata’s core technological engine - the Lumiata Medical Graph, which applies graph-based machine learning to compute the complex relationships between health data in the same way that a physician would, and how this medical AI engine powers personalization and automation within risk and care management.
Artificial intelligence-powered wearable solutions for senior care: A convers...Valencell, Inc
CarePredict, a Florida-based health tech startup, aims to improve seniors’ quality of life with machine learning-driven, actionable wearables insights for care staff and management to provide peace of mind for seniors and their loved ones. By identifying changes in the daily activities and behavior patterns of seniors, predictions can be made about declines in their health, thereby enabling early intervention and adopting a proactive and preventive approach to senior care.
In this webinar, CarePredict shares about their journey from initial concept through prototyping, use case development, business development, and addressing the crisis of a widening gap in the senior to caregiver ratio.
12 Gifts of Digital Health: How Futuristic Technologies Changed Healthcare an...Enspektos, LLC
When people talk about how digital technologies will influence health, many assume changes will happen years or decades into the future. Yet, in 2014 a range of digital tech, from Big Data to genomics, gave people the gift of life, knowledge and more. Look back at the year that was in digital health and understand that he future is now.
A smart health care system called Healthcare+ or My Health aims to solve critical healthcare issues for all economic classes in India as part of Digital India. It would connect customers to affordable doctors, medical procedures, medicines, and testing through a central system. This smart health care system benefits customers by helping them locate affordable care anywhere in India to save time and money, reserve doctor appointments, and view intelligent pricing. It also benefits pharmacies and testing centers by providing personalized services, engaging customers online, offering affordable equipment and testing. The government benefits through better control of insurance schemes and subsidies, introduction of more affordable services, and use of Aadhar IDs for tracking.
List Of Figures And Functions RequirementsLeslie Lee
This document discusses the evolution of health care information systems over the past 20 years. It notes that 20 years ago, many hospitals lacked technologies that now exist, which led to issues like medical errors, lost documentation, time-consuming paperwork, and poor data collection. The document then outlines some of the key changes in health IT over this period, including the adoption of electronic health records, increased use of computers for billing and documentation, and integration of systems across organizations to improve data sharing and care coordination.
Healthcare Information Technology Trends.docxwrite4
The document discusses healthcare information technology trends, including how technologies originally developed for one purpose often find new applications that increase their usage and development. It notes that technology, both new and repurposed, will continue driving healthcare information. The document prompts reflection on technology trends observed in one's healthcare organization and discusses potential benefits and risks of these trends as they relate to data safety, legislation, and patient care outcomes.
POST EACH DISCUSSION SEPARATELYThe way patient data is harvested.docxLacieKlineeb
POST EACH DISCUSSION SEPARATELY
The way patient data is harvested and used is rapidly changing. Patient data itself has become quite complex.
In the future
, patient data will be combined with financial data, product or drug data, socioeconomic factors, social patterns, and social determinants of health. Cognitive behavior and artificial intelligence will be applied to the data to help prevent and depict rather than cure disease.
Evaluate the future of Healthcare information technology.
Include the following aspects in the discussion:
Find two articles related to the future of information systems (IS) in healthcare
Include telehealth, wearable technology, patient portals, and data utilization
Analyze potential benefits from advances
Discuss, from your own perspective, the advantages and disadvantages of having a system where the patient manages their own data
REPLY TO MY CLASSMATE’S DISCUSSION TO THE ABOVE QUESTIONS AND EXPLAIN WHY YOU AGREE. MINIMUM OF 150 WORDS EACH
Classmate’s Discussion 1
The technological advancements that have occurred in the field of healthcare have greatly changed the way people view and interact with the healthcare system. They have also led to the reduction of costs and the increasing efficiency of the system. We expect that the future of healthcare will continue to be influenced by information technology.
Due to the technological advancements that have occurred in the field of healthcare, physicians are now able to spend less time with their patients. This has allowed them to provide more effective and efficient care to their patients. In the future, we can expect that the increasing number of specialists who can delegate their work to other doctors will have a significant impact on the healthcare system. The increasing efficiency of doctors is expected to have a significant impact on the shortage of specialist physicians in the future. This issue could be solved using technology. Hopefully, the use of information technology can help boost the number of specialist physicians (Patric, 2022).
Electronic health records have revolutionized the way healthcare is done. Despite the progress that has been made in terms of keeping and tracking these records, they are still not widely used yet. This means that the kind of growth that was expected from the adoption of these records has not materialized. Although the adoption of electronic health records has been made in various parts of the world, it’s still not widely used in all areas. This means that the ability to keep track of one’s medical history is still very important (Patric, 2022).
The increasing importance of information technology in healthcare has led to the prediction that the cost of healthcare will eventually come down. Various factors such as better accessibility and efficiency will help make healthcare more affordable and more effective.
It’s widely believed that keeping one's health is much cheaper and easier than treating a.
Make sure it is in APA 7 format and at least 3-4 paragraphs and refe.docxendawalling
Make sure it is in APA 7 format and at least 3-4 paragraphs and references.
Throughout history, technological advancements have appeared for one purpose before finding applications elsewhere that lead to spikes in its usage and development. The internet, for example, was originally developed to share research before becoming a staple of work and entertainment. But technology—new and repurposed—will undoubtedly continue to be a driver of healthcare information. Informaticists often stay tuned to trends to monitor what the next new technology will be or how the next new idea for applying existing technology can benefit outcomes.
In this Discussion, you will reflect on your healthcare organization’s use of technology and offer a technology trend you observe in your environment.
To Prepare:
Reflect on the Resources related to digital information tools and technologies.
Consider your healthcare organization’s use of healthcare technologies to manage and distribute information.
Reflect on current and potential future trends, such as use of social media and mobile applications/telehealth, Internet of Things (IoT)-enabled asset tracking, or expert systems/artificial intelligence, and how they may impact nursing practice and healthcare delivery.
By Day 3 of Week 6
Post
a brief description of general healthcare technology trends, particularly related to data/information you have observed in use in your healthcare organization or nursing practice. Describe any potential challenges or risks that may be inherent in the technologies associated with these trends you described. Then, describe at least one potential benefit and one potential risk associated with data safety, legislation, and patient care for the technologies you described. Next, explain which healthcare technology trends you believe are most promising for impacting healthcare technology in nursing practice and explain why. Describe whether this promise will contribute to improvements in patient care outcomes, efficiencies, or data management. Be specific and provide examples.
By Day 6 of Week 6
Respond
to at least
two
of your colleagues
* on two different days
, offering additional/alternative ideas regarding opportunities and risks related to the observations shared.
Click on the
Reply
button below to reveal the textbox for entering your message. Then click on the
Submit
button to post your message.
*Note:
Throughout this program, your fellow students are referred to as colleagues.
Throughout history, technological advancements have appeared for one purpose before finding applications elsewhere that lead to spikes in its usage and development. The internet, for example, was originally developed to share research before becoming a staple of work and entertainment. But technology—new and repurposed—will undoubtedly continue to be a driver of healthcare information. Informaticists often stay tuned to trends to monitor what the next new technology will be or how the next .
Information Governance in the Healthcare IndustryAmber Guy
The document discusses information governance in the healthcare industry. Due to advances in technology, healthcare organizations are dealing with massive amounts of data but many do not have the capabilities to effectively manage this data. A survey found that 47% of healthcare executives said their organizations cannot interpret data into actionable insights. The American Health Information Management Association (AHIMA) created information governance principles to help organizations better manage data through its lifecycle in a way that supports compliance. These principles include accountability, transparency, integrity, protection, compliance, availability, retention and disposition. While information governance is important, the challenges are getting organizations to implement the principles due to costs and prioritizing data control.
The document discusses the current and future use of real-time data in healthcare. It describes how one hospital is already using connected devices to monitor patients' health metrics in real-time. However, most healthcare providers currently make limited and uncoordinated use of real-time data. The biggest challenges are integrating real-time data into processes and designing new processes around it. Hospitals are investing in experts and technologies to better utilize real-time data through clinical decision support systems and predictive analytics. While still early, real-time data has the potential to greatly improve personalized and preemptive healthcare.
Assignment 1 Legal Aspects of U.S. Health Care System Administrat.docxbraycarissa250
Assignment 1: Legal Aspects of U.S. Health Care System Administration
Due Week 3 and worth 200 points
Prevailing wisdom reinforces the fact that working in U.S. health care administration in the 21st Century requires knowledge of the various aspects of health laws as they apply to dealing with medical professionals. Further, because U.S. health care administrators must potentially interact with many levels of professionals beyond the medical profession, it is prudent that they be aware of any federal, state, and local laws that may be applicable to their organizations. Thus, their conduct is also subject to the letter of the law. They must evaluate the quality of their professional interactions and be mindful of the implications and ramifications of their decisions.
Nearly 65 million surgical operations were performed in 2015 in the U.S. resulting in an estimated 200,000 deaths from complications or other post-operative issues (Ghaferi, Myers, Sutcliffe, & Pronovost, 2016). Ongoing innovation in healthcare can improve patient outcomes. According to the Harvard Business Review article, The Next Wave of Hospital Innovation to Make Patients Safer, over the past several decades, there have been three distinct waves of surgical improvement: technical advancements, standardizing procedures, and high reliability organizing.
Assume the role of a top health administrator at We Care Hospital. You are interested in propelling the hospital to the next level by applying for the Malcolm Baldrige National Quality Award. However, you want to ensure surgical outcomes for patient morbidity and mortality rates. You begin by researching the Surgical Care Improvement Project (SCIP) aimed to improve adherence to quality protocols. You need to ensure the hospital policy is consistent with the law and that the hospital is correctly reporting Sentinel Events to the Joint Commission, a hospital regulatory agency.
Note: You may create and / or make all necessary assumptions needed for the completion of this assignment.
Write a three to four (3-4) page paper in which you:
1. Analyze how standardizing procedures and documenting steps can improve outcomes when performing a complex procedure. Review the peer-reviewed journal article, The Next Wave of Hospital Innovation to Make Patients Safer. Articulate your position as the top administrator concerned about the importance of professional conduct and negligence in SCIP quality guidelines.
2. High Reliability Organizing emphasizes the varying actions that can affect patient safety given that standardized systems ignore the fact that each patient is different. Ascertain the major ramifications when the health care team “fails to rescue” the patient. Identify what hospital policies should be in place and identify previous case laws.
3. Analyze the four (4) elements required of a plaintiff to prove medical negligence.
4. Discuss the overarching duties of the health care governing board in mitigating the effects of medical non- ...
Gain insights from data analytics and take action! Learn why everyone is making a big deal about big data in healthcare and how data analytics creates action.
5 Things to Know About the Clinical Analytics Data Management Challenge - Ext...Michael Dykstra
5 Things to Know About the Clinical Analytics Data Management Challenge - Extracting Real Benefit From Your EHR Data
The EHR revolution has created immense promise for improved patient outcomes and reduced costs but most healthcare organizations are struggling to experience significant benefits. The power of Applied Clinical Analytics lies in a simple but powerful concept: the importance of focusing on the accuracy and availability of the underlying data, first and foremost.
A large Texas hospital implemented GOJO Industries' SMARTLINK Hand Hygiene Solutions, which uses electronic compliance monitoring and on-site clinician support. This led to a 92% increase in hand hygiene compliance rates within 12 weeks on a medical unit. The SMARTLINK system automatically records thousands of hand hygiene events per month, providing more accurate data than traditional observation methods. The success was attributed to both the compliance monitoring data and the on-site support provided to staff.
This document includes three blog posts recently featured in PharmaVOICE.
The blogs focus on how enhanced access to in-depth health data is impacting an understanding of personhood, the environment around us, and the pharma operating model.
BLOG 1 (Pages 2-7)
Waves of Real Life Data Are Inundating Pharma...Can They Keep Up?
BLOG 2 (Pages 8-13)
Better understanding where and how we live will vastly improve remote patient
monitoring approaches
BLOG 3 (Pages 14-18)
5 Ways Pharma Can Be More Patient-Centered & Usher in Digital Transformation
Send me a note with your comments and feedback. Thanks for reading!
1) A personal health record (PHR) allows patients to access and manage their own health information to participate more actively in their care.
2) There are two main types of PHRs - tethered PHRs connected to healthcare providers and untethered standalone PHRs.
3) PHRs can empower patients, improve communication between patients and providers, and increase patient safety through better access to health information. However, they also face challenges regarding data security, privacy, and digital literacy.
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."
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.
Pharmaceutical companies are increasingly recognizing the value of real-world evidence and digital health technologies. Real-world data from electronic health records, wearable devices, and other sources can provide insights into drug effectiveness outside of controlled clinical trials. This data has the potential to transform drug development and delivery of personalized healthcare. It allows evaluation of treatments using broader and longer-term patient data. Pharma is exploring applications of real-world evidence such as improving clinical trial design and identifying new drug targets and uses based on unanticipated real-world findings. Widespread collection and use of real-world data may help address industry challenges like rising development costs and ensuring drug safety.
Unprecedented Technological Trends Push the Envelope in Life SciencesCognizant
The life sciences and pharmaceuticals industry is facing startling digitizational changes on many levels, with these five key technology trends setting the pace: bundling products and services, edge analytics, human augmentation, automation and AI, and patient data ownership.
3 Responses Needed
Unit 1 DB
Substantive Posts
These MUST be substantive to the Posts Herein.
Post # 1
Our country is one of the richest country on this planet but yet rank 37 by the World Health Organization. The health care system in the US works best if you are rich or have a decent job to pay for your own insurance. If we compare ourselves to our Canadian neighbor, they are well off than we are. Even to the point that some of our citizens that live close to the border go to Canada for treatments. One of the main problem in our health care system is the insurance companies. It appears to me that we value money or profit rather than life. The 44th president of our country put into law for our citizens to be seen or take insurance without been penalize for prior preexisting conditions. It is no secret that big companies do not like that and they continue to fight to amend Obama care and our country will never have the health care system that France, Canada, New Zealand, and Belgium citizens have.
Post # 2
The healthcare industry has undergone drastic changes in the last decade, which currently seems to be continuing that trend exponentially. With the emergence of the internet, and the technological advances with computers, people everywhere are becoming very comfortable with computer assisted devices integrating every aspect of our daily lives. This very idea has been embraced by the healthcare industry, as we can now see robots delivering medications to inpatient units, robotic surgery becoming standard in many specialties, and most importantly the emergence of electronic healthcare records (EHR)s. This technology has led to a transition from a monetary-driven healthcare system to a quality-driven healthcare system (Nelson, 2016).
EHRs have revolutionized the healthcare system and patient care. Baker (2016) noted that EHR systems have led to advancements, such as patient portals, which provides a secure way for patient and providers to communicate wirelessly and without an appointment, as well as the ability for healthcare systems to safely and securely transfer patient and files between providers and other facilities with ease. Tavares (2016) noted that due to rising costs and the current air of fiscal responsibility invading healthcare, many organizations see EHRs as a means for allowing patients to take a more active role in their healthcare, thereby allowing the system to be more efficient and cost-saving.
With the passage of the HITECH Act of 2009, and the implementation of the “meaningful use” incentives, many organizations are looking to efficiency metrics to fulfill some of these requirements (Neumeier, Butler, and Fuqua, 2016). Attaallah, Elzamzamy, Phelps, Ranganthan and Vallejo (2016) noted that one way of using an EHR for fiscal responsibility to fulfill the “meaningful use” incentive program by monitoring operating room metrics in order to assess efficiency, increase revenue through analyzin.
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
Leveraging the Internet of Things to Improve Patient OutcomesAlex Taser
This public thought leader dialogue reinforced that we are in 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.
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.
1. 34 Volume 77 • Number 10
A D VA N C E M E N T O F T H E PRACTICEA D VA N C E M E N T O F T H E PRACTICEA D VA N C E M E N T O F T H E PRACTICE
BUILDING CAPACITY
I
n my previous column, I spoke of how
analytics can guide and make more accu-
rate the work of health departments. The
data present increasingly greater value as we
move closer to their source. What if the data
were immediate … instantly available?
The Internet of Things is an emerging
phrase among tech circles that characterizes
a class of discrete devices, usually single pur-
posed, each with a connection to the Inter-
net. Your new baby monitor, for example,
may feature the capacity to check on your
sleeping child using your iPhone down the
hall or even across town.
The Internet of Things offers public health
informatics on a smaller scale; that is, using
devices in areas critical to public health to
electronically capture and report, in real-
time, such variables as the chemical thresh-
olds in a public pool or the temperature in a
restaurant or warehouse refrigerator. Devices
record on a regular basis (e.g., once an hour
or once a minute) and store the data to inter-
nal memory or to a cloud-based service,
where they are visible to anybody with proper
access (Figure 1). Many devices feature an
alarm system that will send threshold alerts
via any combination of SMS, e-mail, audible
alarm, visual indicator, or even a phone call.
This is an emerging and somewhat ambi-
tious concept. My circle of health profes-
sionals, briefed on the matter, tended to have
to mull it over to consider the potential. I
foresee that this technology will become
increasingly commonplace, however, and
that health departments should be ready to
embrace these new datasets.
The market for this technology is grow-
ing quickly. The Food Safety Modernization
Act (FSMA) called for, among other items,
improved and speedier surveillance of food
safety issues, placing more responsibility
for safe food directly on entities involved in
the food production process. “FSMA really
opened the door for technology to be intro-
duced into public health surveillance sys-
tems,” says Timothy Akers, assistant vice
president for research innovation and advo-
cacy and professor of public health at Morgan
State University. “I see this technology inevi-
tably becoming a requirement in food safety;
it’s a great way for local health departments
and other federal agencies to monitor and
protect public health.”
Indeed, the fourth hazard analysis and
critical control points (HACCP) principle
recommends that “monitoring should be
continuous,” and a regulator’s manual for
Editor’s Note: A need exists within environmental health agencies
to increase their capacity to perform in an environment of diminishing
resources. With limited resources and increasing demands, we need to seek
new approaches to the business of environmental health.
Acutely aware of these challenges, NEHA has initiated a partnership with
Decade Software Company called Building Capacity. Building Capacity is a
joint effort to educate, reinforce, and build upon successes within the
profession, using technology to improve efficiency and extend the impact of
environmental health agencies.
The Journal is pleased to publish this bimonthly column from Decade
Software Company that will provide readers with insight into the Building
Capacity initiative, as well as be a conduit for fostering the capacity building
of environmental health agencies across the country.
The conclusions of this column are those of the author(s) and do not
necessarily represent the views of NEHA.
Darryl Booth is president of Decade Software Company and has been
monitoring regulatory and data tracking needs of agencies across the U.S.
for 18 years. He serves as technical advisor to NEHA’s technology section,
which includes computers, software, GIS, and management applications.
Darryl Booth, MBA
Internet of Things Builds
Capacity for Automatic
Temperature Logging
2. June 2015 • Journal of Environmental Health 35
applying HACCP principles to risk-based
retail and food service recommends suggest-
ing to operators the purchase of a “data log-
ger to record cooling overnight.”
Akers and Cynthia Tucker, PhD, MBA,
RDN, LDN, research faculty in the nutritional
sciences program at Morgan State, conducted
a pilot test of a food safety informatics tool
in a university student food service center
(Tucker, Larkin, & Akers, 2011). Arguably
the first of its kind, the study results show the
benefit of automated temperature monitoring
for cold and dry storage areas as a matter of
proactive public health technology; over a
period of just 24 hours, the sensors identified
several breaches of temperature standards
that upon investigation could not be attrib-
uted to deliveries or other variables.
Tucker told me that this concept is directly
in line with the goal of FSMA. “These systems
enable restaurants to be proactive instead of
reactive, which is one of the stated goals of
FSMA. Capturing this information in an auto-
mated, electronic manner is more credible than
paper and pencil and helps them protect the
consumer. Nothing can be erased or entered at
the last minute when you see an inspector walk
through the door. In fact, it will make the health
inspection run even smoother, as it speaks to
how they run their organization.”
Agrees Akers, “When someone puts a pen
to paper to write down their times for their
food issues, the validity of that data imme-
diately becomes suspect from a surveillance
point of view. If there is an objective, sur-
veillance-type system set up to collect real-
time, accurate, and unbiased data, we put the
nation’s safety in the forefront, and we also
eliminate any biases.”
Five Guys Burgers and Fries, a popular
burger chain, has been using informatic tech-
nology since 2009 to capture temperatures
in coolers and prep rooms every minute and
for HACCP compliance. The brand that they
use, Touchblock®
(product name in process
of being changed to ComplianceMate), also
provides the restaurants with a Bluetooth
probe: as the employee temps all the items
required in the checklist, the device uploads
that information electronically to the cloud.
“I know from experience throughout my
career in the restaurant industry that paper
logs are only as good as the people who
actually fill them out,” says Jim Gibson, vice
president of food safety and quality assur-
ance at Five Guys. “When I heard about the
technology, I thought, ‘this is a great tool.’ It
speeds up the time it takes to temp products,
and provides automated, documented, and
validated data that is visible to those who
need it—the store, managers, corporate, and
local regulators.”
Restaurants are, of course, legally com-
pelled to provide food safety logs during a
health inspection. Having this data doesn’t
have a huge impact on the inspection, says
Jeanelle Rogers, a health inspector with
Fairfax County’s Division of Environmental
Health, but it is good to see. “This concept
matches the requirements of active manage-
rial control. It helps the certified food man-
ager be proactive. It’s not the sole evidence
that we use when capturing temperatures
during inspections, but it does make us feel
much better about the facility. They can catch
a problem even when we aren’t there and do
something about it. It helps them demon-
strate knowledge and control.”
Electronically captured data can also aid
reported foodborne illness investigations. “In
the past four or five years, we’ve had to utilize
the data about 25 times with health depart-
ments to confirm and prove that we weren’t
the cause of a claim of foodborne illness,”
notes Gibson.
We’d most likely all agree that a health
department can’t advocate for one compli-
ance device over another, so long as compli-
ance is reached. But within your capacity as
the regulator, you likely can make recom-
mendations, ranging from behaviors to train-
ing to methods, that will help restaurants
keep their patrons safe. Other more subtle
options exist, such as economic or brand-
ing incentives for restaurants that have this
software. I’m thinking here about awards of
excellence that I’ve seen awarded to facilities
(along with a permit discount) that consis-
tently go above and beyond to ensure food
safety compliance. It wouldn’t be inappropri-
ate, I think, to call out the financial benefits.
For example, Gibson told me that Five Guys
has caught 300 cases of failed coolers in the
last five years. “We’ve been able to get people
to the store to save tens of thousands of dol-
lars of product. The dollar amount is incred-
ible in regards to savings.”
Data Automatically Tracked in Salad Bar Monitor
Color code: yellow = normal range, red = above normal range. Image used with permission from Touchblock®
.
FIGURE 1
3. 36 Volume 77 • Number 10
A D VA N C E M E N T O F T H E PRACTICE
I would like to see federal regulatory agen-
cies pursue this subject further; I wouldn’t
be surprised to find this topic rising in the
spotlight in the coming years. Speaking phil-
osophically, what if health departments could
interact directly with the data in the cloud?
What if the data were pooled into a national
repository for analysis?
From Tucker and co-authors’ study:
. . . [P]ublic health is confronted with
a myriad of challenges, a complex tax-
onomy of risks that can go unexamined
without standardized data collection
systems. The most significant challenge
to establish a public health imperative
has been educating policy makers and
federal, state, and local regulators about
the hazards of contaminated foods that
are consumed by people in both pub-
lic and private foodservice facilities. In
contrast, if mandated, industry adapts
quickly when evidence-based policy
helps to guide industry down a path of
efficiency (Tucker et al., 2011).
“From a national security point of view,”
says Akers, “if counties were collecting this
type of informatic data, it would be to our
advantage to run, for example, some type of
analysis to find patterns in food safety data and
guide food safety efforts through predictions.”
These systems are relatively cheap, easy to
install and maintain, and absolutely beneficial
for any industry player handling food, says Gib-
son. “With anything in food safety, it’s kind of
like insurance—you’re purchasing something
that hopefully you’ll never have to really use,
if that makes sense. Some look at it as throwing
money into a hole. But really its not a matter of
“‘if’ it’s going to happen but ‘when.’”
The charter of this column is to expose
right-minded technology projects that prom-
ise increased capacity. These opportunities
may arise from your colleagues, your munici-
pality, or from the private technical sector.
By remaining open to these opportunities as
they emerge, you reserve the power to be a
contributor to the concept, and build up and
develop it for your constituency.
Learn more: www.decadesoftware.com/
Column.
Acknowledgements: Kelly Delaney, market-
ing communications manager for Decade
Software Company, provided the research for
this column. Special thanks Donna Fenton,
Heather Forshey, and Jeff Taber.
Corresponding Author: Darryl Booth, President,
Decade Software Company, 1195 W. Shaw,
Fresno, CA 93711.
E-mail: darrylbooth@decadesoftware.com.
Reference
Tucker, C.A., Larkin, S.N., & Akers, T.A.
(2011). Food safety informatics: A public
health imperative. Online Journal of Public
Health Informatics, 3(2). Retrieved from
http://www.ncbi.nlm.nih.gov/pmc/articles/
PMC3615782/
Copyright 2015, National Environmental Health Association (www.neha.org).