Ethics and sharing health data
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This document discusses the ethical issues raised by pervasive health data sharing from various sources like genetic services, fitness trackers, and online surveys. It notes that health care and medical research could suffer if this data is not properly protected. While some argue it is not the health industry's problem, the document argues they should get involved for two key reasons: 1) health data is at risk of reidentification even when de-identified and 2) the industry could take a proactive role in finding and controlling health data. However, this approach raises ethical concerns about autonomy, surveillance, and data breaches. If done right with transparency and limiting data use, industry control could incentivize better protection against exploitation and equalize use of big
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Page 9 of 15Capstone ProjectYaima OrtizIDS-4934.docx
Page 9 of 15
Capstone Project
Yaima Ortiz
IDS-4934
March 1st, 2020
Abstract
Topic:
Privacy- What medical information should be confidential? Who, if anybody, should have access to medical records?
Thesis Statement
In healthcare centers and overall privacy is the right of every US citizen that should be protected in all its forms by the healthcare organization.
Rationale
1. The purpose of this paper is to identify why security measures are necessary to protect one’s privacy in the medical industry.
2. There are numerous laws, policies and healthcare organizational rules and regulations and statistics that would be helpful for conducting this research.
3. Privacy of a person whether this is me or you, is important then everything. I want to talk on this topic because I think most of us do not know what is happening to us.
4. I have selected textual analysis of books and available internet sources. The reason of this limited research methodology is that I cannot perform field study because of shortage of time.
Rough Draft Ideas
Identity theft in healthcare industry become a common practice and leads to information leakage that may destroy someone’s life. We can eliminate this human right violation by enforcing effective and practical laws. Healthcare organizations should understand their responsibilities and tighten security to protect information of patients.
Table of Contents
Introduction 3
Overview of Privacy Protections with Respect to Medical Records 4
Data Breaches in the Healthcare Industry 5
Healthcare is the biggest Target for Cyber Attack 7
Penalties and Punishments for Hacking Personal Information 9
Penalties 9
Devastating Consequences of Healthcare Data Breaches 10
Conclusion 10
Recommendations 11
Bibliography 12
Introduction
While operating in healthcare organizations need to gather patient’s information that is mostly personal information. It is the moral and legal responsibility of health care organizations to protect the information of their patients and do not share it with people outside of the organization without the patient’s consent. Protecting patient’s information is a crucial element of respect and essential for patients' autonomy and trust in the organization — the US healthcare industry currently facing patient mistrust that is caused because of a lack of trust. When patients experience a lack of confidence they do not share their information with a healthcare professional that causes ineffective treatment. In a 2018 study, Levy, Scherer, Zikmund-Fisher, Larkin, Barnes, & Fagerlin concluded that approximately 81.1% of people withheld medically relevant information from their health-care providers. Patients fail to disclose medically relevant information in front of their clinicians undermine their health and cause patient harm (Levy, 2018).
There are numerous components of patient privacy in healthcare that are personal space, religious and cultural affiliations, physical privacy ...
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The Petrie-Flom Center for Health Law Policy, Biotechnology, and Bioethics at Harvard Law School 2016 annual conference was organized in collaboration with the Berkman Center for Internet & Society at Harvard University and the Health Ethics and Policy Lab, University of Zurich.
Learn more at http://petrieflom.law.harvard.edu/events/details/2016-annual-conference.Precision Medicine in the Big Data World
Precision Medicine is now a funded NIH initiative and an organic movement in the clinic and at the research institute. Based on work with Genomics England, multiple large pharmaceutical firms, and research hospitals, attendees will learn about the best practices for epidemiology, signal detection, research, and the clinical diagnostics associated with Precision Medicine, including the development of high-scale bio-repositories that link traditional patient data with genomic information. Come hear about how leadership, collaboration, consent, and compute can lead to success or failure in your Precision Medicine initiative, and how to bring your stakeholders together for an aligned mission response.
Participant-centered research design and “equal access” data sharing practice...
Topics include:
What is "equal access" to data?
How have the roles of human subjects expanded over time?
Where has equal access to data been a success?
What are the barriers to equal access in research?
1st CUTEHeart Workshop Wyatt Presentation
This document discusses methods for exploring causality using big health data and addressing potential biases. It covers some common biases like regression to the mean, Simpson's paradox, and confounding by indication. Emerging methods discussed to overcome biases include case-only study designs, regression discontinuity designs, Mendelian randomization, and instrumental variable techniques. The document also addresses the challenges of using routine healthcare data and when reliable causality assessment is most needed.
Literature evaluation table student name change topic (2
The document appears to be a literature evaluation table created by a student to analyze articles related to their capstone project or evidence-based practice topic. It includes sections for 8 articles that address the author, title, year, research questions/hypotheses, study purpose, design, setting/sample, methods, analysis, findings, recommendations, and how each article relates to the student's project. The table criteria are rated as comprehensive with supporting details. The overall presentation is neat and professional. The document also includes the student's PICOT question and provides background on Prince George's County and the impact of COVID-19 in the area.
Atul Butte presentation at the Morris Collen 100 birthday celebration
Atul Butte presentation at the Morris Collen 100 birthday celebrationUniversity of California, San Francisco
Clinical informatics will see more molecular data collected from patients, increased democratization of biomedical data and knowledge, and the integration of data and digital tools to empower patients and support wellness. In the next 10 years, biomedical informatics will focus on predicting and preventing disease before symptoms occur, explaining rare conditions, keeping people healthy longer through personalized care, and ensuring safe, effective, cost-efficient care is delivered to patients.NETWORK OF DISEASES AND ITS ENDOWMENT TOWARDS DISEASE
NETWORK OF DISEASES AND ITS ENDOWMENT TOWARDS DISEASE IJTRET-International Journal of Trendy Research in Engineering and Technology
Disease Network is the science that has emerged to diagnose a disease from a network aspect
specifically. Networks are the group that interconnect to each others similarly disease networks are
the one that reveal concelled connection among apparently independent biomedical entities like
physiologic process, signaling receptors, in addition to genetic code, also they prove to exists
intitutive in addition to powerful way to learn/discover or diagnose a disease.Due to these networks,
we can now consume the elderly drugs and its method to learn/discover the new drug
accordingly.Example- Colchicine is used in gout but after repurposing it is also used in mediterranean
fever. This is because there are many factors that affect the body during mediterranean fever and
gout, we know that gout is a form of arthritis that causes pain in joints also mediterranean fever is the
one which is accompanied by pain in joints, therefore colchicine is used as a repurposed drug again.In
repurposing of medicines or drugs we first analyse the change in symptoms and identify the target
organ and accorgingly we produce a drug that is compatible with pharmacokinetics of the body. As
the availablity of transcriptomic,proteomic and metabolomic data sources are increasing day by day it helps in classification of disease .Also there are some networks reffered to as complex networks which can be called as collection of linked junctions/ nodesPicot question
The document discusses a PICOT question regarding whether an individual's environment influences their health and safety. It proposes using a quantitative research design to determine the correlation between environmental factors (independent variable) and individual health outcomes (dependent variable). A literature review found that environmental factors like hazardous waste sites, pollution, and natural disasters can negatively impact human health by increasing disease transmission or direct health risks. Proper environmental protection measures are needed to safeguard individual health and safety.
Wake up Pharma and look into your Big data
The vast volumes of medical data collected offers pharma the opportunity to harness the information in big data sets
Unlocking the potential in these data sources can ultimately lead to improved patients outcomes
This presentation describes consideration how to maximize the impact of Big Data.
its methodology, practical challenges and implications.
Ethics, Research & Society
Slides to introduce the "Ethics, Research & Society" roundtable of the C3BI annual retreat — 2018-05-24
From personal health data to a personalized advice
Invited talk at the health track of ICT.OPEN 2018, 20-3-2018
1. Related Data science challenges to Digital Health trends
2. Designing an infrastructure to support secure learning from distributed health data repositories, for personalized health advice
3. Supporting patients with rare diseases with patient driven research and the generation of new hypotheses based on patient experiences.
Big Data and the Promise and Pitfalls when Applied to Disease Prevention and ...
Big data and data science have implications for healthcare and biomedical research. Large amounts of data are being generated but much of it remains unused. Integrating data through common standards could provide new insights into rare diseases. The National Institutes of Health is working to establish data standards and cloud resources to enable data sharing and advance precision medicine through its Precision Medicine Initiative. Data science has the potential to improve disease prevention and health promotion by identifying patterns in large, diverse datasets.
Enabling Analytics on Sensitive Medical Data with Secure Multiparty Computation
This document discusses how secure multiparty computation (MPC) can enable analytics on sensitive medical data by allowing multiple data owners to perform analysis and machine learning without disclosing private data. MPC uses cryptography protocols for parties to jointly compute a function without revealing their private inputs. The document outlines several pilot projects using MPC, including tracking hospital staff and patients locations privately, analyzing population health across different regions, and combining clinical, study, and insurance data for risk prediction. Challenges discussed include scaling MPC to large datasets, compliance with privacy regulations, and gaining trust from stakeholders. MPC has potential to improve healthcare by enabling learning from sensitive data in a privacy-preserving manner.
Global Dementia Legacy Event: Dr Neil Buckholtz
Session Two: Barriers to investment in research to find a disease modifying therapy or cure for dementia
Dr Neil Buckholtz , Director of Neuroscience, the National Institute on Aging (NIA), National Institutes of Health (NIH)
Improving health care outcomes with responsible data science
Keynote presentation by Wessel Kraaij at the Dutch pattern recognition and impage processing society (NVPBV) 29/5/2018, Eindhoven.
This talk discusses
1. trends in health care and respondible data science and their intersection
2. Secure federated analytics on distributed data repositories
3. Generating clinically relevant hypotheses from patient forum discussions.
Boston powerpoint2
The document discusses the current state of research on a cure for HIV/AIDS. It defines what is meant by a cure versus a functional cure. It describes HIV reservoirs in the body and challenges to measuring and targeting them. It outlines two main strategies to cure HIV - activating resting immune cells harboring HIV and repopulating the immune system with HIV-resistant cells. It discusses several therapies under investigation and obstacles to developing a cure, including lack of funding and collaboration. It advocates for more funding, removing roadblocks to research, and engaging those living with HIV in cure efforts.
The Cochrane Library: Web 2.0 & phisical activity
This review analyzed 11 studies involving over 5,800 adults to evaluate the effectiveness of remote and web-based interventions for promoting physical activity. The results showed that technology-supported programs can help adults become more active, achieve recommended weekly activity levels, and increase fitness. Improvements were seen when interventions provided personalized support and feedback from professionals via phone, email, or written information. Gains in activity level and fitness were maintained for up to two years with no increase in injury risk. However, more research is still needed to determine the most effective long-term methods for specific groups.
4 Ways for Doctors to Avoid Inappropriate Testing
The document discusses 4 ways for doctors to avoid inappropriate medical tests by educating students and colleagues, advocating for administrative changes, engaging patients in treatment decisions, and building collaboration among peers to question unnecessary tests in order to address the large costs and risks associated with overtesting. Inappropriate testing wastes healthcare dollars, can delay accurate diagnoses, and potentially causes patient harm.
What's hot (20)
Barbara Evans, "Big Data and the Meaning of Individual Autonomy in a Crowd"
Barbara Evans, "Big Data and the Meaning of Individual Autonomy in a Crowd"
Sharona Hoffman, "Big Data and the Americans with Disabilities Act: Amending ...
Sharona Hoffman, "Big Data and the Americans with Disabilities Act: Amending ...
Participant-centered research design and “equal access” data sharing practice...
Participant-centered research design and “equal access” data sharing practice...
Literature evaluation table student name change topic (2
Literature evaluation table student name change topic (2
Atul Butte presentation at the Morris Collen 100 birthday celebration
Atul Butte presentation at the Morris Collen 100 birthday celebration
NETWORK OF DISEASES AND ITS ENDOWMENT TOWARDS DISEASE
NETWORK OF DISEASES AND ITS ENDOWMENT TOWARDS DISEASE
From personal health data to a personalized advice
From personal health data to a personalized advice
Big Data and the Promise and Pitfalls when Applied to Disease Prevention and ...
Big Data and the Promise and Pitfalls when Applied to Disease Prevention and ...
Enabling Analytics on Sensitive Medical Data with Secure Multiparty Computation
Enabling Analytics on Sensitive Medical Data with Secure Multiparty Computation
Improving health care outcomes with responsible data science
Improving health care outcomes with responsible data science
Similar to Ethics and sharing health data
B1 lesson part two
The document discusses a lesson plan that covers genetic screening and testing. Over the next 12 lessons, students will learn about genetics topics like inherited disorders, genetic testing, screening, and the ethical issues around how genetic information is used. One lesson focuses on genetic screening and testing, including how genetic information could be misused by insurance companies and discussed the arguments for and against using DNA profiles to determine insurance costs.
Page 9 of 15Capstone ProjectYaima OrtizIDS-4934.docx
Page 9 of 15
Capstone Project
Yaima Ortiz
IDS-4934
March 1st, 2020
Abstract
Topic:
Privacy- What medical information should be confidential? Who, if anybody, should have access to medical records?
Thesis Statement
In healthcare centers and overall privacy is the right of every US citizen that should be protected in all its forms by the healthcare organization.
Rationale
1. The purpose of this paper is to identify why security measures are necessary to protect one’s privacy in the medical industry.
2. There are numerous laws, policies and healthcare organizational rules and regulations and statistics that would be helpful for conducting this research.
3. Privacy of a person whether this is me or you, is important then everything. I want to talk on this topic because I think most of us do not know what is happening to us.
4. I have selected textual analysis of books and available internet sources. The reason of this limited research methodology is that I cannot perform field study because of shortage of time.
Rough Draft Ideas
Identity theft in healthcare industry become a common practice and leads to information leakage that may destroy someone’s life. We can eliminate this human right violation by enforcing effective and practical laws. Healthcare organizations should understand their responsibilities and tighten security to protect information of patients.
Table of Contents
Introduction 3
Overview of Privacy Protections with Respect to Medical Records 4
Data Breaches in the Healthcare Industry 5
Healthcare is the biggest Target for Cyber Attack 7
Penalties and Punishments for Hacking Personal Information 9
Penalties 9
Devastating Consequences of Healthcare Data Breaches 10
Conclusion 10
Recommendations 11
Bibliography 12
Introduction
While operating in healthcare organizations need to gather patient’s information that is mostly personal information. It is the moral and legal responsibility of health care organizations to protect the information of their patients and do not share it with people outside of the organization without the patient’s consent. Protecting patient’s information is a crucial element of respect and essential for patients' autonomy and trust in the organization — the US healthcare industry currently facing patient mistrust that is caused because of a lack of trust. When patients experience a lack of confidence they do not share their information with a healthcare professional that causes ineffective treatment. In a 2018 study, Levy, Scherer, Zikmund-Fisher, Larkin, Barnes, & Fagerlin concluded that approximately 81.1% of people withheld medically relevant information from their health-care providers. Patients fail to disclose medically relevant information in front of their clinicians undermine their health and cause patient harm (Levy, 2018).
There are numerous components of patient privacy in healthcare that are personal space, religious and cultural affiliations, physical privacy ...
Page 9 of 15Capstone ProjectYaima OrtizIDS-4934.docx
Page 9 of 15
Capstone Project
Yaima Ortiz
IDS-4934
March 1st, 2020
Abstract
Topic:
Privacy- What medical information should be confidential? Who, if anybody, should have access to medical records?
Thesis Statement
In healthcare centers and overall privacy is the right of every US citizen that should be protected in all its forms by the healthcare organization.
Rationale
1. The purpose of this paper is to identify why security measures are necessary to protect one’s privacy in the medical industry.
2. There are numerous laws, policies and healthcare organizational rules and regulations and statistics that would be helpful for conducting this research.
3. Privacy of a person whether this is me or you, is important then everything. I want to talk on this topic because I think most of us do not know what is happening to us.
4. I have selected textual analysis of books and available internet sources. The reason of this limited research methodology is that I cannot perform field study because of shortage of time.
Rough Draft Ideas
Identity theft in healthcare industry become a common practice and leads to information leakage that may destroy someone’s life. We can eliminate this human right violation by enforcing effective and practical laws. Healthcare organizations should understand their responsibilities and tighten security to protect information of patients.
Table of Contents
Introduction 3
Overview of Privacy Protections with Respect to Medical Records 4
Data Breaches in the Healthcare Industry 5
Healthcare is the biggest Target for Cyber Attack 7
Penalties and Punishments for Hacking Personal Information 9
Penalties 9
Devastating Consequences of Healthcare Data Breaches 10
Conclusion 10
Recommendations 11
Bibliography 12
Introduction
While operating in healthcare organizations need to gather patient’s information that is mostly personal information. It is the moral and legal responsibility of health care organizations to protect the information of their patients and do not share it with people outside of the organization without the patient’s consent. Protecting patient’s information is a crucial element of respect and essential for patients' autonomy and trust in the organization — the US healthcare industry currently facing patient mistrust that is caused because of a lack of trust. When patients experience a lack of confidence they do not share their information with a healthcare professional that causes ineffective treatment. In a 2018 study, Levy, Scherer, Zikmund-Fisher, Larkin, Barnes, & Fagerlin concluded that approximately 81.1% of people withheld medically relevant information from their health-care providers. Patients fail to disclose medically relevant information in front of their clinicians undermine their health and cause patient harm (Levy, 2018).
There are numerous components of patient privacy in healthcare that are personal space, religious and cultural affiliations, physical privacy.
ey-getting-from-big-data-to-analytics
This document discusses 4 key challenges for healthcare entities in harnessing big data and analytics: 1) Gaining access to different data streams from other organizations due to fragmented healthcare systems, technological hurdles, and strategic/privacy concerns. 2) Ensuring high quality data by addressing inconsistencies across data sources. 3) Developing robust algorithms and analytics that are supervised by domain experts and can evolve over time. 4) Investing in analytics solutions that are flexible and scalable given the rapidly changing technological environment.
To Prepare· Review the Congress website provided in the Resourc
To Prepare:
· Review the Congress website provided in the Resources and identify one recent (within the past 5 years) proposed health policy.
· Review the health policy you identified and reflect on the background and development of this health policy.
Post a description of the health policy you selected and a brief background for the problem or issue being addressed. Explain whether you believe there is an evidence base to support the proposed policy and explain why. Be specific and provide examples.
APA format and 3 references
Then respond to a peer with 2 references
Peer 1
The healthcare policy I chose is S. 3098, S.3098 -is the Preventive Care Awareness Act of 2021.
S. 3098 will provide national public health information and focus on people in a lower income bracket who have forgone services during the COVID-19 pandemic. This bill would also create a task force to promote preventative care and development programs in rural and underserved populations. Its primary focus is teaching low-income Americans the benefits of preventive healthcare. This bill is in committee and has bipartisan support (Bell et al., 2017).
Reading this proposed bill, I asked myself whether it is lower-income Americans who have forgone preventative treatment during COVID or Americans in general. Preventive screenings have long been advocated as one of the most valuable ways to facilitate early diagnosis and treatment of disease. Cancer screenings have helped lower the US cervical cancer death rate by 50% in the last three decades (2022).
According to the American Medical Association, more than 40% of Americans surveyed stopped preventative medical care as covid-19 began (Timothy M. Smith, Senior News Writer, 2020). This number included Americans of all economic levels. I believe no proof was found that only lower-income Americans skipped screenings during the height of the COVID-19 pandemic.
According to the Joint Commission, patients with lower health literacy did not see the importance of preventative care during COVID-19 (The Joint Commission, 2022). I believe there is evidence-based support for increasing education for all Americans regarding the importance of preventive health screenings, And indeed more teaching to Americans with a lower understanding of their health. This bill was given only a 3% chance of passing into law. I believe that is partly because it only attempts to reach lower-income populations and not all Americans.
50 words minimum each response
R1
I had a hard time with this question. I'd like to believe that all, if not most, health care providers have very high empathy, which would cause them to be sensitive toward patients. However, many different people with different personalities become health providers, and laws and regulations provide boundaries for most people. I believe if left alone, healthcare professionals and other professionals would choose what is most convenient for them and not what is best for the patie ...
Sacred Secrets Meet Cyberspace Privacy Issues for Consumers
Jo Fitzpatrick from the Women's Health Action Trust discusses consumer privacy issues related to health information in cyberspace. She notes that 78% of people in a 2006 survey were concerned about the confidentiality of their medical records online. Fitzpatrick highlights examples from the past where women's health information was accessed or disclosed without consent. She expresses concerns that consumers have large knowledge gaps around how their data is collected, shared, and used. Fitzpatrick calls for more consumer representation and involvement in health information forums to help address these issues.
Discussion Of Health Care System Essay Paper.docx
The document discusses factors that impact the US healthcare system. It argues that while healthcare is considered a basic human right, it operates as a privilege in the US due to many people remaining uninsured. Social determinants of health and health disparities also impact the system by influencing health outcomes, particularly for vulnerable groups, and how healthcare is provided through integrating social services. The seven key drivers identified by Appleby that influence rising healthcare costs are discussed, including fee-for-service reimbursement, an aging population, demand for new technologies, tax breaks for insurance, lack of information, industry consolidation, and supply/demand issues.
RememberItNow Presentation to U.S. Office of eHealth Initiatives
RememberItNow! recently presented their eHealth service to the U.S. Office of eHealth Initiatives in response to their request for information on new medication management technology.
Learn how RememberItNow! can improve medication compliance with SMS, Push and eMail medication reminders, an easy-to-use PHR, and a private care community.
Discover the future of eHealth and how it starts with the patient’s perspective. To learn more about RememberItNow! please visit:
http://www.rememberitnow.com
PLEASE POST EACH DISCUSSION SEPARATELYEach healthcare organi
PLEASE POST EACH DISCUSSION SEPARATELY
Each healthcare organization has its own internal policies related to how data is managed. There are also
federal guidelines and regulations
regarding the use of patient data. The data harvested by healthcare organizations is no longer uniquely derived from HIT systems.
Wearable technologies
have emerged in the market. Mega companies like Apple and Samsung, have also teamed up with some telehealth platforms to connect doctors, institutions, and insurance companies.
Evaluate the impact of data derived from wearable technology on healthcare technology.
Include the following aspects in the discussion:
Select
Apple's Health Kit
or another consumer platform of your choice.
Discuss how the consumer wearable market is changing the healthcare delivery process.
Summarize why cybersecurity continues to be a major obstacle to consumer wearable adoption specifically in the H.I.T. space.
Discuss your personal perspective on how the lack of ethnic diversity in data collection impacts the future of healthcare research.
REPLY TO 2 OF MY CLASSMATES DISCUSSION TO THE ABOVE QUESTIONS AND EXPLAIN WHY YOU AGREE. MINIMUM OF 150 WORDS EACH
CLASSMATE POST 1
The Apple Health Kit and the many other wearable device technology is creating data in a bountiful way. What the Health Kit does is collect the relevant data and process it specifically for the person wearing the device. The device monitors things such as blood pressure, heart rate, calories burned in a day etc. and that data can be directly sent to your doctor as well. The wearable market is impacting healthcare in that it is making it more accessible, and your data is becoming more personable. If something is on you every day it will learn your habits, your sleep patterns, your calories burned each day and be able to tell you where improvements could be made and commend a healthy change. According to the International Journal of Recent Research Aspects the number of connected medical devices is expected to increase from 10 billion to 50 billion over the next decade (Chawala, 2020). With an increased number of connected devices, it also increases the likelihood of someone accessing private information that is not a health care team member. Cyber security is becoming as important as homeland security as most attackers can do the same damage anonymously and behind a computer screen. The problem with wearable devices is that they are connected mainly via Bluetooth which is a public network were others could see the device connected. Secondly, the data that is being sent or monitored could be interfered while in transmission or an apple watch or device could be stolen that has all the owner’s information freely on it. Despite the tracking and privacy networks they have installed, it is easily overcome or stolen off a wrist.
The ethical concerns in the lack of diversity in data entry is inter ...
Commercial access to health data
On April 19th, Ipsos MORI presented the results of a newly published study commissioned by the Wellcome Trust on attitudes to commercial access to health data as part of a panel discussion for industry and health sector representatives.
The work was an extensive and robust piece of social research, comprising 16 deliberative workshops with members of the public, patients, cohort study members and healthcare professionals and a follow-up face-to-face survey with over 2,000 UK adults.
We are delighted that this work has helped feed wider debate on issues surrounding commercial access to health data, challenges and solutions.
Full report: https://www.ipsos-mori.com/researchpublications/publications/1803/Commercial-access-to-health-data.aspx
Please respond to each of the 3 posts with 3.docx
Big data in healthcare has the potential to improve patient outcomes and reduce costs but also faces challenges. It can help detect diseases earlier, enhance continuity of care, and reduce duplicate tests. However, it also risks security and privacy breaches due to increased data sharing. Ensuring consistent data updates, using encryption, and upgrading systems can help address these challenges. Nurses are well-positioned to help given their understanding of both clinical care and data, but big data also introduces workflow and data quality issues that must be overcome. Overall, big data means big opportunities for better healthcare if its challenges involving security, usability, and data integrity can be adequately addressed.
Nicolas Terry, "Big Data, Regulatory Disruption, and Arbitrage in Health Care"
Nicolas Terry, "Big Data, Regulatory Disruption, and Arbitrage in Health Care"The Petrie-Flom Center for Health Law Policy, Biotechnology, and Bioethics
Part of the "2016 Annual Conference: Big Data, Health Law, and Bioethics" held at Harvard Law School on May 6, 2016.
This conference aimed to: (1) identify the various ways in which law and ethics intersect with the use of big data in health care and health research, particularly in the United States; (2) understand the way U.S. law (and potentially other legal systems) currently promotes or stands as an obstacle to these potential uses; (3) determine what might be learned from the legal and ethical treatment of uses of big data in other sectors and countries; and (4) examine potential solutions (industry best practices, common law, legislative, executive, domestic and international) for better use of big data in health care and health research in the U.S.
The Petrie-Flom Center for Health Law Policy, Biotechnology, and Bioethics at Harvard Law School 2016 annual conference was organized in collaboration with the Berkman Center for Internet & Society at Harvard University and the Health Ethics and Policy Lab, University of Zurich.
Learn more at http://petrieflom.law.harvard.edu/events/details/2016-annual-conference.According to this idea that gender is socially constructed, answer.docx
According to this idea that gender is socially constructed, answer the following questions:
1. What does it mean to be a man in the U.S.? What does it mean to be a woman?
2. From what institutions do we learn these gender roles?
3. How do these clips demonstrate the ways in which gender is socially constructed in the U.S.? Do the concepts discussed in the clips resonate with you? Why or why not?
In Persepolis, the main character Marji struggles to define her identity as an Iranian woman in a changing society.
· What roles are depicted for women in Iranian society in the film? How do they change over time?
· How does Persepolis demonstrate the ways in which gender and identity are influenced in many ways, by different processes across cultures? How are gender roles in Iran similar, or different to gender in the U.S.?
· What are some of the stereotypes that exist about Muslim women and how does Abu-Lughod in “Do Muslim Women Need Saving” and Persepolis complicate these stereotypes?
Answer the following questions 2 full pages
Running head: MAJOR HEALTH CARE PROBLEMS IN THE U.S. 1
Major Health Care Problems in the U.S.
Jane Doe
ID: 1212121
MAJOR HEALTH CARE PROBLEMS IN THE U.S. 2
Major Health Care Problems in the US
Problem statement: High and continuously rising cost of health care has been and still is one of
the biggest challenges affecting the Health Care system in United States.
Methods of Examining the Problem
Both qualitative and quantitative research methods should be used to fully understand the
issue of high cost of care in the US. Quantitative methods like surveys and experimentations will
aid in estimating the prevalence, magnitude and frequency of the problem in different regions.
On the other hand, qualitative methods like case studies and observation will help describe the
extent and complexity of the issue. The two approaches need to work in complementation to
obtain a clear understanding of this menace.
Surveys, as a quantitative research method, is one of the most effective in the social
research and present a more viable method of examining the cost of health in the country. They
involve asking of questions in the form of questionnaires and interviews. Questionnaires are
written questions to which the response can be open ended or multiple-choice format. This
would be used to gain information about cost within determinants that are of
disagree/neutral/agree nature. An example is if patients are contented with the cost of services
they get or they deem the cost of cover worthy. Interviews, the researcher discussing issues with
the respondents, are to be used to gain more details on already known aspects of the system. This
may include gathering information to inform policies, administration and use of technology to
minimize the cost of care.
Since health cost in the US is not a new challenge and there have been studies about it,
qualitative methods like .
Take a look at the below link and then answer the below questions .docx
Take a look at the below link and then answer the below questions from each of their points of view:
Link: https://www.ted.com/talks/john_wilbanks_let_s_pool_our_medical_data/transcript?language=en
When you're getting medical treatment, or taking part in medical testing, privacy is important; strict laws limit what researchers can see and know about you. But what if your medical data could be used — anonymously — by anyone seeking to test a hypothesis? John Wilbanks wonders if the desire to protect our privacy is slowing research, and if opening up medical data could lead to a wave of health care innovation.
For this blog and tying all the topics covered in the class about the epistemology of knowledge, what is your opinion on this matter? Should we share or should we not share? To be or not to Be?
I want you to answer this from different points of view:
The Patient:
The Mother/Father/Son/Daughter/Husband/Wife/Partner/Friend who is trying to help:
The Doctor:
The Hospital Administrator:
The Researcher:
The Companies/Big Pharma:
The Government:
The Government Watchdogs making sure rules are enforced:
The Philanthropists:
He slammed the papers down on the table. "Doctor, I won't do it! I just saw on the news that the prostate blood test is useless at my age. It's milking the system." His face showed determination and defiance as his wife looked on in the corner. No amount of entreating could get him to budge on the subject. Forget the 10 years of my life I had sacrificed in the pursuit of medical knowledge, he had crowdsourced on Facebook information about the prostate specific antigen test; the difference is subtle, but I had gone to medical school and he had gone to Google. Posting information on their health and all their test results is a routine event for Friday Facebook users. Proclaiming quackery, he left my office determined never to return.
Patients want that aggregation of data. Appealing to their practical nature, the more data, the faster we get to a solution, and if it contributes to research and a better future, it can only be the right decision. Family and friends would likely agree, maintaining that in the best interest of the patient, posting data, even without the benefit of anonymity, is acceptable. As MIPS / MACRA move towards population management, more integrated metrics would be of great interest to the hospital administrator as well and allows for an understanding of which markets are likely to produce the best reimbursements by virtue of their higher baseline of health; not surprisingly, we know higher income demographics produce the most compliant patients with the best medical outcomes, which is why most hospitals now are closing shop in poor neighborhoods, despite their need, and opening up in upscale areas with not only an assured revenue stream of insured clients, but better access to medications for diabetes control, better access to nutrition which means faster and improved healing post-surgery, and lower l ...
Health Data Innovation (Wolfram Data Summit)
Brief overview of the work of the Institute for Health Metrics and Evaluation (IHME), the Global Health Data Exchange (GHDx), and innovation happening in the health data space, ranging from Health Data Initiative to health apps, patient engagement, new tools and real-time data collection
12MGT 301Individual paper.docx
1
2
MGT 301Individual paper
Ericsson et al. (2007, HBR) – Deliberate practice
The article has managed to illustrate deliberate practice well; it has shown how far an individual can be able to reach if he or she decides to practice. It cannot be measured the level a person may be able to reach. However, a person may reach a level where they only use intuition instead of practicing to be able to deal with the problem they face each day.
The article has not managed to show us the bad side of deliberate practice. We have mostly been shown what we can achieve. We do not know the practicality of it in real life. Deliberate practice can be highly impractical. Some professions may not have the time to be able to practice due to the nature of fixed schedules. Coming back closer it can also be seen that women who have multiple small children are mostly under pressure to deliver care, making it impractical for deliberate practice. This shows their recommendation lacked practical utility.
Gladwell (Dec 15, 2008) – Predicting performance
Through Gladwell’s research, we concluded that most of the college quarterbacks may not be able to replicate the performance that they had in college in the N.F.L. The individuals could not predict which quarterback may have the chance to shine. Some of the bench quarterbacks while in college sometimes become big stars in the N.F.L who exceed expectations.
There is a high level of bias in the article, as we cannot tell if the research was conducted in the required way. The individuals had a lot of evidence but they misinterpreted it getting the wrong results. They only focused on one factor to come up with the conclusion rather than having several factors. This is because they did not have a system of evaluating the competencies of the players. The study was also based on previous data, which was speculative in nature and cannot be verified. The structures for data collection were not in place. This means they could not get the results they were looking for due to the range restriction. The prediction of quarterbacks in the N.F.L could be possible if better research is conducted.
Gladwell (2008, Outliers) – Practical intelligence
There are several things that may come about with having a high IQ. Individuals with high IQ develop at a much faster rate compared to normal individuals. This can be seen by the way Chris developed. In addition, high IQ comes together with a high ability to grasp and understand things, which may be hard for others.
The article appears to be unrealistic to some point. The narrator mostly focuses on appeasing the reader and passing the message rather than having facts. This can be known as narrative fallacy. It is not logical somethings to happen such as a child speaking at six months and listening to the radio to be able to know how to read. Children can only utter a few words at six months due to undeveloped speech organs and a person cannot learn to read by listening.
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Technology and healthcare: difficult marriage
Despite the many advances in technology, one of the most important parts of our lives – healthcare – continues to be a cautious and slow adopter. This is not because of the shortage of relevant technologies (quite the contrary, a lot of innovation geared at this space has taken place); rather, it is due to the healthcare industry itself, which is difficult to work with due to its complicated legislation, resistance from healthcare institutions and professionals and the tight funding conditions that most public healthcare institutions are subject to. It is also the case that outside the large-scale and traditional IT environment, the healthcare industry lacks a strong collaboration model with the world of technology innovation. Investing in healthcare needs to take a long-term perspective and requires great knowledge of the inherent challenges that will be faced. The high tech industry, on the other hand, has little patience. Tech companies, including those that are excited by recent big data opportunities should be warned: it takes a battle to get your teeth into the healthcare sweet spot.
Big Data and US healthcare
Big data in healthcare has grown exponentially as more medical data is collected through new technologies and electronic health records. By analyzing huge datasets, big data can help reduce trial-and-error medicine and lower costs. It enables more personalized healthcare by combining different sources of medical data. While big data may revolutionize healthcare through customized care and reduced costs, issues around privacy, security, and data management need to be addressed for its full potential to be realized.
Wearable Health, Fitness Trackers, and the Quantified Self
This document discusses the rise of wearable health technologies and quantified self-tracking. It notes that healthcare is now an information problem rather than a science problem. It then discusses the growing elderly population and rise of chronic diseases. Common risk factors like smoking, obesity, and inactivity are also discussed. The document summarizes tracking trends and the quantified self movement. It provides examples of emerging personal health tools like glucose monitors and DNA screening. It concludes with the author's views that digitalization will transform medicine by lowering costs and improving outcomes through precision medicine approaches.
Please respond to each of the 3 posts with 3 APA sources no older th
Please respond to each of the 3 posts with 3 APA sources no older than 5 years old. APA format must be exceptional.
Reply 1
Professor,
How can big data impact prescription errors? Be specific and provide examples. Who should be on the team to implement this project and why? Support your work with the literature.
Reply 2
Ruth Niyasimi,
Big Data Risks and Rewards
Big data is defined as the process of collecting, analyzing, and leveraging consumer patient, physical, and clinical data that is too vast or complex to be understood by traditional means of data processing. In healthcare, data is generated from medical records, patient portals, government agencies, research studies, electronic health records, and medical devices. The data generated in healthcare is used to make decisions that will have an impact on patient health outcomes (Raghupathi & Raghupathi, 2014). Healthcare is a critical docket in our society since it is tasked with a duty to prevent, diagnose and treat illnesses and diseases affecting the community. In the past, health information was stored on paper but through advancements in technology, things have significantly changed as patient information is stored on Electronic health records (EHR).
The adoption of big data had significant impacts on customer services and other related issues. According to Raghupathi and Raghupathi (2014), for many years, healthcare has been generating huge volumes of data that was stored in hardcopy. This was a critical step toward improving the quality of healthcare delivery while reducing costs. This huge volume of information is crucial to healthcare because, through digitalization, it has become possible to detect diseases at an early stage and take necessary intervention measures. Secondly, big data enables the ability to enhance continuity, starting when a patient visits a hospital until the last stage of being discharged. For example, the lab tests taken from those patients and other specialized treatments are stored in a way that other departments can access this information in the future preventing duplicate redoing labs and imaging studies (Adibuzzaman et al., 2017). This cuts down costs while improving service delivery.
Although big data has had a tremendous impact on the healthcare systems, it has also created some problems. Firstly, the use of technology such as EHR has resulted in security issues and privacy threats. According to McGonigle and Mastrian (2017), technology has enabled the interoperability of healthcare data. Interoperability means sharing important health data across different organizations while ensuring it is presented understandably to the user. Unauthorized third parties can intersect this information and the Health Insurance Portability and Accountability Act (HIPPA) has shown little concern for patient data breach cases. Another problem is that big data is not static, it requires continuous system updates to ensure that it ...
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Ethics and sharing health data
- 1. Ethical Issues Raised by Pervasive Health Data Sharing T.J. Kasperbauer June 12, 2017
- 2. DTC genetic services Mobile health apps Fitness trackers Wellness programs Web browsers ISPs Online surveys Any data of any kind
- 3. What should the health industry do about pervasive health data sharing?
- 5. Not Our Problem Outside of the doctor- patient relationship.
- 6. Not Our Problem It’s a consumer issue. Talk to the FTC. We have enough of our own internal privacy problems.
- 7. 1. Health care and medical research suffers. 2. Health data is at risk! There Are Good Reasons to Get Involved
- 8. Netflix, AOL, etc. Genetic databases (Gymrek et al., 2013) Washington state health records (Sweeney, 2013) Canada’s Adverse Reaction Database (El Emam et al., 2013) Health Data at Risk
- 11. What if the health industry took a proactive role in finding and controlling health-related data?
- 12. Ethical Concerns This is very different from the traditional doctor- patient relationship. Potentially autonomy-reducing/paternalistic.
- 13. Surveillance concerns Data breaches become much more significant.
- 14. On the other hand… Instead of autonomy we could appeal to beneficence. Health databases could encourage transparency and accountability, and limit scope of use. Could equalize use of big data in health care.
- 15. A lot hinges on how data is obtained and used. Health industry control can incentivize better protection against exploitation.
Editor's Notes
- We now share data with lots of people. Some if it’s directly health info. WebMD, online surveys, genetic services, wearables, medical apps, etc. Also lots of sharing that allows inferences about our health info. Google, ISPs, etc. know more about our health than health care providers. These all raise enormous privacy issues, but they’re outside of the purview of health industry privacy protections. So what should be done? Who should take responsibility?
- According to Sweeney (2010), roughly half of all health data exchanges don’t fall under HIPAA. De-identification is inadequate. These databases met minimal standards. Need something more ambitious. Impairs health care Lots of unused data that could be helpful Health data is at risk
- Over the long-term, de-identification techniques won’t be able to keep up with data sharing habits. The problem is what’s out there, not what health IT does in here.
- Propose that health industry develop centralized database for all health info, even inferential knowledge based on mobile health apps, ISPs, google searches, genetic tests, etc.
- No longer about what the patient is explicitly sharing with health care provider. Unlikely that the patient would ultimately have control over how the info is used. If others are already legally using the info, no reason to think health care provider is more limited.
- Tradeoff between patient control and optimal use. A balance seems possible. Consumer databases are more problematic Health database for all would reduce price of use. Shouldn’t have to pay for privacy. Already enhancing cyber security and privacy of health IT systems
- Will have choice over whether to do this with or without patient consent, and with or without granting them some control over the data. If monetized, and still outside of control of health professionals, seems problematic. Health industry could leverage their position to enact more stringent policies against exploitation and misuse of health data