Big Data Risks and Rewards

Many healthcare organizations struggle with sorting and analyzing data. Big data is defined as large data sets that are more relevant when analyzed as a fully integrated data set instead of smaller data sets (Keenan, 2014). A lack of standardized data can lead to the inability to evaluate an organization’s performance or make changes (Thew, 2016). Big data provides many benefits and risks Big Data Risks and Rewards Essay.


Benefits

The use of effective big data can improve patient experiences and organization performance (Wang et al., 2018). The use of the system provides benefits for various departments. The systems impacted include the technological, operational, managerial, strategic, and organizational (Wang et al., 2018). A large benefit would be the reduction in cost. This is achieved in multiple ways. When data is analyzed appropriately cost saving changes can be made after interpreting data. For example, our supply rooms are monitored and stocked as needed. If after an extended period it was determined that certain supplies are not used as often, these could be purchased just when necessary, or in smaller quantities. This prevents an overabundance of stock and unnecessary expenses. It can also be used to analyze the electronic health record. Big Data Risks and Rewards Essay When an organization is struggling with an issue such as falls, this system can analyze various factors to determine patterns of care (Wang et al., 2018). This information can then be used to determine what can be changed to prevent falls, and what other units are doing that creates a lower rate of falls. If the organization is successful in lowering the number of falls, this leads to a decrease in cost directly linked from the use of big data in the clinical system. Not only are costs impacted, but also quality of care. The incorporation of big data can be directly linked to many benefits Big Data Risks and Rewards Essay.

Risks

With any new system implementation there are risks. The largest risk is the possibility of breach in confidentially of private health information (McGonigle & Mastrian, 2017, p. 491). The patient’s privacy could be impacted due to a third party becoming involved (Wang et al., 2018). Organizations are not able to directly control the privacy of big data companies. This is one risk that could greatly jeopardize protected health information. One phishing attack resulted in 80,000 medical records being released (Lv & Qiao, 2020) Big Data Risks and Rewards Essay. Organizations must do all they can to prevent breaches in confidentiality. Breaches in confidentiality can lead to lack of trust, lawsuits, and incredibility.

Combating Risks

One strategy my organization utilizes is education. Staff are educated about phishing, and how to respond. Staff receive reminder emails about what phishing looks like. This creates an awareness and will hopefully prevent staff from becoming victims of phishing scams. They are also educated on protecting patients’ private health information. This education is provided yearly to remind staff of acceptable times patients’ information may be exchanged Big Data Risks and Rewards Essay.

Conclusion

The use of big data within a clinical system can have multiple benefits for the organization, patients, and staff. With the implementation of any new system, new risks are imposed. The greatest risk to the incorporation of this system includes breach in confidentiality. This risk is currently combatted in many organizations with the use of education. The addition of big data has the potential to greatly impact an organization both positively and negatively.

Resources

Keenan, G. M. (2014). Big data in health care: An urgent mandate to change nursing ehrs. Online Journal of Nursing Informatics, 18(1), 18-20. Big Data Risks and Rewards Essay

Lv, Z., & Qiao, L. (2020). Analysis of healthcare big data. Future Generation Computer Systems, 109(1), 103-110. 10.1016/j.future.2020.03.039

McGonigle, D., & Mastrian, K. G. (2017). Nursing informatics and the foundation of knowledge (4th ed.). Jones & Bartlett Learning.

Thew, J. (2016, April 19). Big data means big potential, challenges for nurse execs. Health Leaders Media. https://www.healthleadersmedia.com/nursing/big-data-means-big-potential-challenges-nurse-execs

Wang, Y., Kung, L., & Byrd, T. A. (2018). Big data analytics: Understanding its capabilities and potential benefits for healthcare organizations. Social Change, 126(1), 3-13. https://doi.org/10.1016/j.techfore.2015.12.019 Big Data Risks and Rewards Essay

Discussion: Big Data Risks and Rewards
When you wake in the morning, you may reach for your cell phone to reply to a few text or email messages that you missed overnight. On your drive to work, you may stop to refuel your car. Upon your arrival, you might swipe a key card at the door to gain entrance to the facility. And before finally reaching your workstation, you may stop by the cafeteria to purchase a coffee. Big Data Risks and Rewards Essay

From the moment you wake, you are in fact a data-generation machine. Each use of your phone, every transaction you make using a debit or credit card, even your entrance to your place of work, creates data. It begs the question: How much data do you generate each day? Many studies have been conducted on this, and the numbers are staggering: Estimates suggest that nearly 1 million bytes of data are generated every second for every person on earth Big Data Risks and Rewards Essay.

As the volume of data increases, information professionals have looked for ways to use big data—large, complex sets of data that require specialized approaches to use effectively. Big data has the potential for significant rewards—and significant risks—to healthcare. In this Discussion, you will consider these risks and rewards Big Data Risks and Rewards Essay.

To Prepare:

Review the Resources and reflect on the web article Big Data Means Big Potential, Challenges for Nurse Execs Big Data Risks and Rewards Essay.
Reflect on your own experience with complex health information access and management and consider potential challenges and risks you may have experienced or observed.
By Day 3 of Week 5
Post a description of at least one potential benefit of using big data as part of a clinical system and explain why. Then, describe at least one potential challenge or risk of using big data as part of a clinical system and explain why. Propose at least one strategy you have experienced, observed, or researched that may effectively mitigate the challenges or risks of using big data you described. Be specific and provide examples Big Data Risks and Rewards Essay.

By Day 6 of Week 5
Respond to at least two of your colleagues* on two different days, by offering one or more additional mitigation strategies or further insight into your colleagues’ assessment of big data opportunities and risks.

The rapidly expanding field of big data analytics has started to play a pivotal role in the evolution of healthcare practices and research. It has provided tools to accumulate, manage, analyze, and assimilate large volume of disparate, structured, and unstructured data produces by current healthcare systems (Belle A, 2015). Data analytics is arguably the most significant revolution in healthcare for the past decade. The 21st century is an era of big data involving all aspects of human life particularly in the healthcare industry. Big Data Risks and Rewards Essay What is big data? The concept of big data is not new, however the way it is defined is constantly changing. Big data refers to a large complex data set that yields substantially more information when analyzed as a fully integrated data set as compared to the outputs achieved with smaller sets of the same data that are not integrated (Keenan, 2014). A report by McKinsey Global Institute suggests that if the US healthcare were to use data creatively, the sector could create more than $300 billion in value every year. Two-thirds of the value would be in the form of reducing US healthcare expenditure (Belle A, 2015). Healthcare organizations continue to struggle to gain the benefits from their investments on big data analytics and some of them are skeptical about its power, although they invest in big data analytics in hope for healthcare transformation. Evidence shows that only 42% of healthcare organizations surveyed are adopting rigorous analytics approaches to support their decision-making process; only 165 of them have substantial experience using analytics across a broad range of functions(Wang et all, 2018). The laureate education video 2018 stated” big data analytics can translate into improved experience, avoidance of preventable deaths, effective surveillance and educated decision making process”. Big Data Risks and Rewards Essay Data analytics is so important for the healthcare system. With the emergence of machine Learning and analytics tools that can make useful inferences and predictions based on available data. Computing and cloud infrastructure that allows for large quantities of data processing in real time pushed to the right operational and clinical decision makers at the right time (Linkedin.com).

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An electronic health record (EHR) is a digital version of a patient’s chart. Electronic health records are real-time, patient-centered records that make information available instantly and securely to authorized users. While an electronic health record does contain the medical and treatment histories of patients, an electronic health record system is built to go beyond standard clinical data collected in a provider’s office and can be inclusive of a broader view of a patient’s care. An electronic health record contains a patient’s medical history, diagnoses, medications, treatment plans, immunization dates, allergies, and laboratory and test results. An electronic health record allows access to evidence-based tools that providers can use to make decisions about a patient’s care (www.healthit. Gov). The U.S. Joint Commission states that” As health information technology (HIT) and converging technologies – the interrelationship between medical devices and HIT- are increasingly adopted by health care organizations, users must be mindful of the safety risks and preventable adverse events that these implementations can create or perpetuate. Technology-related adverse events can be associated with all components of a comprehensive technology system and may involve errors of either commission or omission. These unintended adverse events typically stem from human-machine interfaces or organization/system design (USA Joint Commission on Accreditation of Healthcare Organization, 2008). With the human-machine interactions, there is also the risk for privacy breaches that could allow sensitive health care information to fall into the wrong hands (Kierkegaard P, 2012). Threats to health care information can be categorized under these three headings:

-Human threats, such as employees or hackers

-Natural and environmental threats, such as earthquakes, hurricanes and fires

-Technology failures, such as a system crashing Big Data Risks and Rewards Essay.

Healthcare organizations must take all the necessary steps to protect patient’s private information. It is essential to implement rigorous data rules and control mechanisms for highly sensitive clinical data to prevent security breaches and protect patient privacy (Wang et all, 2018).

In summary, I can conclude that big data analytics is going to play an important role in the health care industry. The implementation of big data analytics can bring multiple benefits for the organizations. Big data analytics holds the potential to change healthcare delivery for the better (Thew, 2016). During the coronavirus pandemic we see the benefits of big data analytics in healthcare. It has informed public policy by helping us better measure critical activities to manage the crisis. Big Data Risks and Rewards EssayHealthcare analytics supported supply chain management, policy regarding mitigation strategies as well as measuring spread rates, death rate, health outcomes of populations by region, age and ethnicity. As time goes on, the use of big data analytics in healthcare will continue to be used in a variety of ways to improve patient outcomes and resource management (Foreseemed.com)

References:

Belle A, Thiagarajan R, Soroushmehr SM, Navidi F, Beard DA, Najarian K. Big data analytics in Healthcare. Biomed Res Int. 2015; 2015: 370194. Doi: 10.1155/2015/370194. Epub 2015 Jul 2. PMID: 26229957; PMCID: PMC4503556

www.foreseemed.com/blog/big-data-analytics-in-healthcare.

Keena, G.M. (2014 ). Big data in healthcare: An urgent mandate to change nursing ehrs. Online Journal of Nursing Informatics, 18(1), 18-20 Big Data Risks and Rewards Essay.

Kiekegaard P. (2012). “ Medical data breaches: Notification delayed is notification denies”. Computer Law & Security Review. 28 (2): 163-183. Doi:10.116/J.clsr. 2012.01.003 (https://doi.org/10.1016%2FJ.clsr.2012.01.003

Laureate Education (Producer ). (2018). Health Informatics and Population Health: analyzing data for Clinical Success[ Video File ]. Baltimore, MD: Author.

Linkedin.com/pulse/why-data-analytics-important-healtcare-sanjeev-agrawal

Thew, j. (2016). Big data means big potential, challenges for nurse execs. Retrieved from https://www.healthleadersmedia.com/nursing/big-data-means-big-potential-challenges-nursse-execs.

USA Joint Commission on Accreditation of Healthcare Organizations(December 2008). “ Safely implementing health information and converging technologies”. Sentinel Event Alert (42): 1-4. PMID 19108351 (https://pubmed.ncbi.nlm.nih.gov/19108351).

Wang, Y., Kung, L., & Byrd, T.A. (2018). Big data analytics: Understanding its capabilities and potential benefits for healthcare organizations. Technology Forecasting and social Change, 126, 3-13 Big Data Risks and Rewards Essay

Response

I appreciated reading your post, I agree that Electronic Health Records (EHR) as part of big data it is the responsibility of the healthcare system to secure patient information. According to McGonigle and Mastrian, as many as 77 persons could view patient’s record during a hospital stay. More data means more knowledge, greater insights, smarter ideas and expand opportunities for organizations to harness and learn from their data (McGonigle and Mastrian, 2017). Healthcare the practice is gearing to the use of technology and as nurses, we should be able to keep up with the demand and appreciate the use of data. Research indicates that big data use increases earlier diagnosis and the effectiveness and quality of treatments by the discovery of early signals and disease intervention, reduced probability of adverse reactions, widening possibilities for prevention of diseases by identification of risk factors for disease, improvement of pharmacovigilance and patient safety through the ability to make more informed medical decisions based on directly delivered information to the patients and prediction of outcomes (Pastorino, 2019)

According to Thew 2016, Big data “typically refers to a large complex data set that yields substantially more information when analyzed as a fully integrated data set as compared to the outputs achieved with smaller sets of the same data that are not integrated,”(Thew, 2016)

Reference

McGonigle, D., & Mastrian, K. G. (2017). Nursing informatics and the foundation of knowledge (4th ed.). Burlington, MA: Jones & Bartlett Learning.

Pastorino, R., De Vito, C., Migliara, G., Glocker, K., Binenbaum, I., Ricciardi, W., & Boccia, S. (2019). Benefits and challenges of Big Data in healthcare: an overview of the European initiatives. European Journal of Public Health, 29(Supplement_3), 23–27. https://doi-org.ezp.waldenulibrary.org/10.1093/eurpub/ckz168

Thew, J. (2016). Big data means big potential, challenges for nurse execs. Retrieved from https://www.healthleadersmedia.com/nursing/big-data-means-big-potential-challenges-nurse-execs

Big Data Risks and Rewards

So what is Big Data in Healthcare? Big data “typically refers to a large complex data set that yields substantially more information when analyzed as a fully integrated data set as compared to the outputs achieved with smaller sets of the same data that re not integrated” (Thew, 2016) Big Data Risks and Rewards Discussion Essay Sample

A technological understanding of big data analytics has been studied well by computer scientists. Yet healthcare organizations continue to struggle to gain the benefits from their investments on big data analytics. (Wang, Kung, & Byrd , 2018) Big Data Risks and Rewards Discussion Essay Sample

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One potential benefit of using big data as part of a clinical system is that big data can help with advanced patient care. For example, Electronic health records. An electronic health record (EHR) is a digital version of a patient’s paper chart. EHRs are real time, patient-centered records that make information available instantly and securely to authorized users (2019). Electronic health records help in collecting medical and demographic data such as diagnoses, lab tests, clinical data, and medical conditions. This data can be used to help to provide care to the particular patient.

On the other hand, big data has several challenges. One such challenge can be data security. Since EHR contain personal information and health history, it is essential for the health system’s database to be highly protected from things like hacking, data breach and cyber theft. This could definitely be a challenge.

One strategy of mitigating such risks in data security is through using cloud storage. Cloud storages are often highly protected both by the healthcare organization and the cloud service provider Big Data Risks and Rewards Discussion Essay Sample.

                                                                    References

Thew, J. (2016, April 19). Big Data Means Big Potential, Challenges for Nurse Execs. Retrieved December 29, 2020, from https://www.healthleadersmedia.com/nursing/big-data-means-big-potential-challenges-nurse-execs

Wang, Y., Kung, L., & Byrd, T. A. (2018, January). Big data analytics: Understanding its capabilities and potential benefits for healthcare organizations. Retrieved December 29, 2020, from https://www-sciencedirect-com.ezp.waldenulibrary.org/science/article/pii/S0040162516000500?via=ihub Big Data Risks and Rewards Discussion Essay Sample

What is an electronic health record (EHR)? (2019, September 10). Retrieved December 29, 2020, from https://www.healthit.gov/faq/what-electronic-health-record-ehr

Sample Response

Your post struck a chord with me while reading it. You explain that the electronic health record is the digital version of a patient’s paper chart. In current times, we often forget that all the information we enter on our computers, tablets, and phones and have access to is part of a medical record that historically has been on paper. “Health care is embracing technology and informatics systems that support documenting assessment findings, evaluating diagnostic labs and procedures, ordering medical tests, and coding for billing” (Swenty, 2014) Big Data Risks and Rewards Discussion Essay Sample.

Technology has created this need and expectation for instant information availability, a “sense of urgency” among providers and patients alike (Swenty, 2014). Many of us students in this discussion focused on big data security as the major challenge/risk Big Data Risks and Rewards Discussion Essay Sample. After some thought and reflection on past required reading, I have had a thought spark. Another challenge for big data in healthcare is the impact it has on patients and the patient-nurse relationship.

We are all so focused on having the information available to us at our fingertips in an instant. Nurses are constantly looking at the Electronic Health Record and entering or digesting the information to provide patient care. Patients are continuously looking for nurses or other healthcare professionals to immediately provide them with information and have answers to healthcare questions and concerns. Big data is impacting patient and nurse interactions and communications. We cannot allow big data to jeopardize the art of nursing, which, defined by McGonigle & Mastrian 2018 is “the expert use and adaptation of empirical and metaphysical knowledge and values” (p 532) Big Data Risks and Rewards Discussion Essay Sample.

References

McGonigle, D., & Mastrian, K. G. (2018). Nursing informatics and the foundation of knowledge. Burlington, MA: Jones & Bartlett Learning.

Swenty, C. L., & Titzer, J. L. (2014). A Sense of Urgency: Integrating Technology and Informatics in Advance Practice Nursing Education. The Journal for Nurse Practitioners, 10(10), e57–e67. https://doi-org.ezp.waldenulibrary.org/10.1016/j.nurpra.2014.07.034

Response 2

Your post was extremely informative. I agree with you having big data can definitely help with advanced patient care.Having good data is key to making effective changes (Thew,2016,) Big Data Risks and Rewards Discussion Essay Sample. This also helps me understand why many organizations upload patient’s data and health history into an electronic health record. Making information pertaining to the patient’s care instantly available to providers allows quick access to figuring out diagnoses and treatments throughout the care team.Another key features of an EHR are that health information can be created and managed by authorized providers in a digital format capable of being shared with other providers across more than one health care organization (“What is an electronic health record (EHR)” n.d.). This helps me understand why this is such a benefit to using Big Data Big Data Risks and Rewards Discussion Essay Sample.

References:

Thew, J. (2016, April 19). Big Data Means Big Potential, Challenges for Nurse Execs. Retrieved December 29, 2020, from https://www.healthleadersmedia.com/nursing/big-data-means-big-potential-challenges-nurse-execs

What is an electronic health record (EHR)? | HealthIT.gov. (n.d.). ONC | Office of the National Coordinator for Health Information Technology. https://www.healthit.gov/faq/what-electronic-health-record-ehr Big Data Risks and Rewards Discussion Essay Sample

Big Data Risks and Rewards Discussion Essay Sample response sample 3

I am very impressed by the simplicity and your straight- forward post for this week assignment. Big data is massive amounts of information that can work wonders. It has become a topic of special interest for the past two decades because of a great potential that is hidden in it. Various public and private sector industries generate, store, and analyze big data with an aim to improve the services they provide. In the healthcare industry, various sources for big data include hospital records, medical; records of patients, results of medical examinations, and devices that are a part of internet of things Big Data Risks and Rewards Discussion Essay Sample. This data requires proper management and analysis in order to derive meaningful information (Dash et al, 2019). I agree with you when you say that one potential benefit of using big data is to advance patient care. The use of big data in healthcare organizations can greatly improve efficiency and quality of care (McGonigle and Mastrian, 2017). An electronic health record (EHR) is an electronic version of a patient’s medical history that is maintained by the provider over time, and may include all of the key administrative clinical data relevant to that person’s care under a particular provider, including demographics, progress notes, problems, medications, vital signs, past medical history, immunizations, laboratory data and radiology reports. Electronic health records serve as a way to improve the patient’s safety by reducing healthcare errors, reduce health disparities and improve the health of the public( Ozair, F et all, 2015) Due to the sensitive nature of the information stores within electronic health records (EHR), several security safeguards have been introduced through the Health Insurance Portability and Accountability Act (HIPAA) and the Health Information Technology for Economic and Clinical Health (HITECH) Act (Kruse, C et all, 2017). The increased concern over the security of health information stems from the rise of electronic health record, increased use of mobile devices such as smartphone, medical identity theft, and the widely anticipated exchange of data between and among organizations, clinicians, federal agencies, and patients. Medical staff must be aware of the security measures needed to protect their patient data and the data within their practices. A recent survey found that 73% of physicians text other physicians about work (Journalofethics.ama-assn.org) Big Data Risks and Rewards Discussion Essay Sample.

The electronic medical record is a communication tool that supports clinical decision making, coordination of services, evaluation of the quality and efficacy of care, research, legal protection, education, and accreditation and regulatory process (journalofethics.ama-assn.org). Creating a useful electronic medical record system will require the expertise of physicians, technology professionals, ethicists, administrative personnel, and patients. Although EHRs offer many significant benefits, the future of health care demand that their risks be recognized and properly managed or overcome. Multiple strategies are available to reduce risks and overcome barriers in the implementation of digital health records (Ozair, F et all, 2015) Big Data Risks and Rewards Discussion Essay Sample.

References:

Dash, S., Shakyawar, S. K., Sharma, M et al. Big Data In Healthcare: Management, analysis and future prospects. J Big Data 6, 54 (2019). https://doi.org/10.1186/s40537-019-0217-0

https://journalofethics,ama-assn.org/article/electronic-health-health-records-privacy-confidentiality-and-security/2012-09

Kruse, C.S., Smith, B., Vanderlinden., & Nealand, A. (2017). Security Techniques for the Electronic Health Records. Journal Of medical ayatems, 41(8), 127. https:doi.org/10.1007/s10916-017-0778-4

McGonigle, D., & Mastrian, K. G. (2017). Nursing informatics and the foundation of knowledge (4th ed.).

Jones & Bartlett Learning Big Data Risks and Rewards Discussion Essay Sample

Ozair, F. F., Jamshed, N., Sharma, A., & Aggarwal, P. (2015). Ethical issues in electronic health records: A general overview. Perspectives in clinical research, 6(2), 73-76. https;//doi.org/10.4103/2229-3485.153997

Discussion: Big Data Risks and Rewards
When you wake in the morning, you may reach for your cell phone to reply to a few text or email messages that you missed overnight. On your drive to work, you may stop to refuel your car. Upon your arrival, you might swipe a key card at the door to gain entrance to the facility. And before finally reaching your workstation, you may stop by the cafeteria to purchase a coffee Big Data Risks and Rewards Discussion Essay Sample.

From the moment you wake, you are in fact a data-generation machine. Each use of your phone, every transaction you make using a debit or credit card, even your entrance to your place of work, creates data. It begs the question: How much data do you generate each day? Many studies have been conducted on this, and the numbers are staggering: Estimates suggest that nearly 1 million bytes of data are generated every second for every person on earth Big Data Risks and Rewards Discussion Essay Sample.

As the volume of data increases, information professionals have looked for ways to use big data—large, complex sets of data that require specialized approaches to use effectively. Big data has the potential for significant rewards—and significant risks—to healthcare. In this Discussion, you will consider these risks and rewards.

To Prepare:

Review the Resources and reflect on the web article Big Data Means Big Potential, Challenges for Nurse Execs Big Data Risks and Rewards Discussion Essay Sample.
Reflect on your own experience with complex health information access and management and consider potential challenges and risks you may have experienced or observed.
By Day 3 of Week 5
Post a description of at least one potential benefit of using big data as part of a clinical system and explain why. Then, describe at least one potential challenge or risk of using big data as part of a clinical system and explain why. Propose at least one strategy you have experienced, observed, or researched that may effectively mitigate the challenges or risks of using big data you described. Be specific and provide examples Big Data Risks and Rewards Discussion Essay Sample.

By Day 6 of Week 5
Respond to at least two of your colleagues* on two different days, by offering one or more additional mitigation strategies or further insight into your colleagues’ assessment of big data opportunities and risks.

Post a description of at least one potential benefit of using big data as part of a clinical system and explain why.

Big data is everywhere. We record and store data every minute of the day (McGonigle & Mastrian, 2017, p. 491), from the moment we browse the internet shopping at various sites; to websites, we regularly visit. Big data can capture what our online search preferences are. Each click stores bits of data of our choices to be used in the future (Tiranee Achalakul /TEDxChiangMai, 2018, 03:15-05:21) Big Data Risks and Rewards Discussion Essay Sample. The collected data is used to predict patterns and behaviors.

The overall goal of big data in healthcare is to use predictive analysis to capture and address healthcare problems before they become worse, thereby delivering improved quality healthcare and reducing healthcare costs (Laureate Ed, 2018). Through data mining, knowledge discovery can improve healthcare practice, disease prevention, disease outbreaks/pandemics, prevention of hospital deaths, and repeated hospitalizations (McGonigle & Mastrian, 2017, p.480) Big Data Risks and Rewards Discussion Essay Sample.

The benefit of Big Data:

Improved quality of care: Because big data can draw from various sources; like social media platforms, wearable technology, doctor’s visits, pharmacy visits, socio-demographics, genetics, etc. healthcare delivery is improved because it provides a complete picture of patients, which promotes personalized health care thereby improving quality of care ((Vinay Shanthagiri, 2014, 03:15-05:21). Big data allows you to access data and information, compare data, and make predictions. Health care workers can access the patient’s data and make a prediction based on the data history (Laureate Education, 2018) Big Data Risks and Rewards Discussion Essay Sample.

The Health Information Technology for Economic and Clinical Health Act (HITECH) promotes meaningful use of Health Information Technology (Glassman, 2017). The patient portal helps create meaningful engagement for the patients by allowing them to assess and update their health records, therefore becoming a part of their healthcare decisions.

Potential Challenge of Big Data.

Lack of privacy:

Cybersecurity and lack of privacy are the most critical concerns when dealing with big data. During the generation, processing, and storage of data from multiple sources, the patient’s information can easily be jeopardized and stolen (Abouelmehdi et al., 2018). For this reason, information protection acts like Health Information Protections (HIPPA) gives the patient the right to have their information protected. Despite this, patient data is still at high risk of being jeopardized and compromised Big Data Risks and Rewards Discussion Essay Sample.

One strategy to mitigate the challenges of cybersecurity and privacy.

To protect patients’ information from attacks and data theft, healthcare organizations and providers can use encryption techniques. Data Encryption is an efficient way to protect sensitive patients’ information. Healthcare organizations must ensure that the encryption is easy for patients and healthcare workers to use and can update new healthcare information (Abouelmehdi et al., 2018) Big Data Risks and Rewards Discussion Essay Sample.

There is no doubt that Big Data and information technology will continue to advance in the healthcare setting. Nurses and APRNs must accept this technological advancement and rewrite the future by offering their input and feedback. Not being involved in health information advancement means that other non-health professionals will determine the future of health information technology (Glassman, 2017) Big Data Risks and Rewards Discussion Essay Sample.

Cite at least 3 articles.

Abouelmehdi, K., Beni-Hessane, A. & Khaloufi, H. Big healthcare data: preserving security and privacy. J Big Data 5, 1 (2018). https://doi.org/10.1186/s40537-017-0110-7

Glassman. K. S. (2017). Using data in nursing practice. American Nurse Today, 12(11),45-47. Retrieved from https://www.myamericannurse.com/wp-content/uploads/2017/11/ant11-Data-1030.pdf

Laureate Education (Producer). (2018). Health Informatics and Population Health: Analyzing Data for Clinical Success [Video file]. Baltimore, MD: Author. Retrieved from https://class.content.laureate.net/eced1dc19a8cb4215b923fb14f2f8086.html Big Data Risks and Rewards Discussion Essay Sample

McGonigle, D., & Mastrian, K. G. (2017). Nursing informatics and the foundation of knowledge (4th ed.). Burlington, MA: Jones & Bartlett Learning.

Tiranee Achalakul/TEDxChiangMai. (2018, March 13). Using Big Data to Improve Healthcare Services [Video]. YouTube. https://www.youtube.com/watch?v=7t75CNC34vU

Vinay Shanthagiri. (2014, October 25). Big Data in Health Informatics [Video]. YouTube. https://www.youtube.com/watch?v=4W6zGmH_pOw Big Data Risks and Rewards Discussion Essay Sample

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