Big Data in Health Care: Promise and Potential
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This article discusses the promise and potential of Big Data in the healthcare system. It covers the benefits of implementing Big Data in healthcare, such as advanced patient care and increased efficiency in decision-making. The article also identifies the challenges and potential risks associated with Big Data implementation, such as privacy concerns. The article cites various scholarly journals and provides a critical analysis of the advantages and disadvantages of Big Data in healthcare. Course code and college/university are not mentioned.
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Running Head: BIG DATA IN HEALTH CARE
Big Data in Health Care
Name of the Student
Name of the University
Author Note
Big Data in Health Care
Name of the Student
Name of the University
Author Note
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2
BIG DATA IN HEALTH CARE
Table of Contents
Article 1...........................................................................................................................................3
Article 2...........................................................................................................................................3
Article 3...........................................................................................................................................3
Article 4...........................................................................................................................................4
Article 5...........................................................................................................................................4
Article 6...........................................................................................................................................4
Article 7...........................................................................................................................................5
Article 8...........................................................................................................................................5
Article 9...........................................................................................................................................5
Article 10.........................................................................................................................................6
Article 11.........................................................................................................................................6
Article 12.........................................................................................................................................6
References........................................................................................................................................8
BIG DATA IN HEALTH CARE
Table of Contents
Article 1...........................................................................................................................................3
Article 2...........................................................................................................................................3
Article 3...........................................................................................................................................3
Article 4...........................................................................................................................................4
Article 5...........................................................................................................................................4
Article 6...........................................................................................................................................4
Article 7...........................................................................................................................................5
Article 8...........................................................................................................................................5
Article 9...........................................................................................................................................5
Article 10.........................................................................................................................................6
Article 11.........................................................................................................................................6
Article 12.........................................................................................................................................6
References........................................................................................................................................8
3
BIG DATA IN HEALTH CARE
Article 1
Raghupathi, W., & Raghupathi, V. (2014). Big data analytics in healthcare: promise and
potential. Health information science and systems, 2(1), 3.
The authors in this journal stated that the emergence of Big Data in regular day to day
usage has been increasing. Major reason behind the processing of Big Data in the course of
regular usage is that this platform uses the technology that enhances connectivity. Out of all the
sectors that has been implementing Big Data, Health care system has been benefitted the most.
This journal elaborates the reasons that has affected the entire architecture of the health care
system. This journal also identified advanced patient care with the help of Electronic Health
Record. This journal states that with implementation of Big Data in Health Care the data that are
generated during the completion of complex medication gets stored and the same data is treated
as the reference for further completion of similar kind of medication. This journal also helps in
understanding the increasing rate of efficiency due to the presence of reference in the course of
decision making for mitigation of major medication issues. Major problem with the article is that
the authors did not cite the data that has been collected by them after performing rigorous
research from authorized and scholarly articles.
Article 2
Bates, D. W., Saria, S., Ohno-Machado, L., Shah, A., & Escobar, G. (2014). Big data in health
care: using analytics to identify and manage high-risk and high-cost patients. Health
Affairs, 33(7), 1123-1131.
The authors in this journal states that Big Data is an ever evolving technology and is
being used in each and every department of the social proposition. The author also identifies the
BIG DATA IN HEALTH CARE
Article 1
Raghupathi, W., & Raghupathi, V. (2014). Big data analytics in healthcare: promise and
potential. Health information science and systems, 2(1), 3.
The authors in this journal stated that the emergence of Big Data in regular day to day
usage has been increasing. Major reason behind the processing of Big Data in the course of
regular usage is that this platform uses the technology that enhances connectivity. Out of all the
sectors that has been implementing Big Data, Health care system has been benefitted the most.
This journal elaborates the reasons that has affected the entire architecture of the health care
system. This journal also identified advanced patient care with the help of Electronic Health
Record. This journal states that with implementation of Big Data in Health Care the data that are
generated during the completion of complex medication gets stored and the same data is treated
as the reference for further completion of similar kind of medication. This journal also helps in
understanding the increasing rate of efficiency due to the presence of reference in the course of
decision making for mitigation of major medication issues. Major problem with the article is that
the authors did not cite the data that has been collected by them after performing rigorous
research from authorized and scholarly articles.
Article 2
Bates, D. W., Saria, S., Ohno-Machado, L., Shah, A., & Escobar, G. (2014). Big data in health
care: using analytics to identify and manage high-risk and high-cost patients. Health
Affairs, 33(7), 1123-1131.
The authors in this journal states that Big Data is an ever evolving technology and is
being used in each and every department of the social proposition. The author also identifies the
4
BIG DATA IN HEALTH CARE
improved operational efficiency is one of the major reason that has caused the implementation of
Big Data in regular life. The authors stated that the data processing with the help of Big Data has
been acting as one of the major reason for completion of the projects with highest efficiency..
This journals is very well formatted and the sequence of data storage is also very efficient. This
leads to the fact that the researchers find it easy to surf the journal as the preciseness of the
journals is very high.
Article 3
Wang, Y., Kung, L., & Byrd, T. A. (2018). Big data analytics: Understanding its capabilities
and potential benefits for healthcare organizations. Technological Forecasting and Social
Change, 126, 3-13.
This journal is one of the most important journal that must be reviewed in order to gain
an in depth knowledge regarding the implementation of Big Data in the field of Health care
system. This journal precisely discusses all the benefits that the health care system enjoys. This
journal is focused with the implementation of the Big Data in the field of Health Care system
only. This leads to the fact that the data that are provided in this journal is to the point and
precise in nature. This increases the efficiency of the research process, leading to the fact that the
data that are required can be accessed easily. This journal provides a descriptive analysis of the
advantages that are present as well unlike the other journals that are present in other journals.
Article 4
Auffray, C., Balling, R., Barroso, I., Bencze, L., Benson, M., Bergeron, J., ... & Del Signore,
S. (2016). Making sense of big data in health research: towards an EU action plan. Genome
medicine, 8(1), 71.
BIG DATA IN HEALTH CARE
improved operational efficiency is one of the major reason that has caused the implementation of
Big Data in regular life. The authors stated that the data processing with the help of Big Data has
been acting as one of the major reason for completion of the projects with highest efficiency..
This journals is very well formatted and the sequence of data storage is also very efficient. This
leads to the fact that the researchers find it easy to surf the journal as the preciseness of the
journals is very high.
Article 3
Wang, Y., Kung, L., & Byrd, T. A. (2018). Big data analytics: Understanding its capabilities
and potential benefits for healthcare organizations. Technological Forecasting and Social
Change, 126, 3-13.
This journal is one of the most important journal that must be reviewed in order to gain
an in depth knowledge regarding the implementation of Big Data in the field of Health care
system. This journal precisely discusses all the benefits that the health care system enjoys. This
journal is focused with the implementation of the Big Data in the field of Health Care system
only. This leads to the fact that the data that are provided in this journal is to the point and
precise in nature. This increases the efficiency of the research process, leading to the fact that the
data that are required can be accessed easily. This journal provides a descriptive analysis of the
advantages that are present as well unlike the other journals that are present in other journals.
Article 4
Auffray, C., Balling, R., Barroso, I., Bencze, L., Benson, M., Bergeron, J., ... & Del Signore,
S. (2016). Making sense of big data in health research: towards an EU action plan. Genome
medicine, 8(1), 71.
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5
BIG DATA IN HEALTH CARE
This journals basically deals with the advancement that is procured in the technological
aspect of the Big Data platform. This journal is not much precise in nature and the data that are
present in the journal is mainly focused on the implementation of Big Data in day to day life. A
certain portion of the journal discusses about the implementation of Big Data in health care
department. Completion This is the main reason that this journal is not treated as the ideal
journal for performing research on Big Data implementation in Health Care system, but is
considered to be ideal for gaining in depth knowledge regarding the implementation of Big data
in regular life. This journal is very well formatted and the compactness of the journal is very
high. This journal is very informative in nature and the researchers finds it easy for gaining
conceptual based knowledge regarding Big Data
Article 5
Rumsfeld, J. S., Joynt, K. E., & Maddox, T. M. (2016). Big data analytics to improve
cardiovascular care: promise and challenges. Nature Reviews Cardiology, 13(6), 350.
This journal is completely focused on the implementation of Big Data in the field of
Health care system. The major section that gets affected due to the implementation of Big Data is
health care system. In case the health care system is processed with the help of the Big Data
analytics, the major benefit it will enjoy is that the processing of the data that are already
generated will incur the fact that the data management is performed with utmost efficiency. This
is the main reason that the there is an advancement in the health care technology. The resource
that are generated in order to complete the operations re stored in the data base. This helps in
performing of the operation in a much better and proficient way. This journal is not very well
formatted and the in texting of the data is not accurate. This is the major reason that this journal
is not a very efficient and this journal is not considered as a good journal
BIG DATA IN HEALTH CARE
This journals basically deals with the advancement that is procured in the technological
aspect of the Big Data platform. This journal is not much precise in nature and the data that are
present in the journal is mainly focused on the implementation of Big Data in day to day life. A
certain portion of the journal discusses about the implementation of Big Data in health care
department. Completion This is the main reason that this journal is not treated as the ideal
journal for performing research on Big Data implementation in Health Care system, but is
considered to be ideal for gaining in depth knowledge regarding the implementation of Big data
in regular life. This journal is very well formatted and the compactness of the journal is very
high. This journal is very informative in nature and the researchers finds it easy for gaining
conceptual based knowledge regarding Big Data
Article 5
Rumsfeld, J. S., Joynt, K. E., & Maddox, T. M. (2016). Big data analytics to improve
cardiovascular care: promise and challenges. Nature Reviews Cardiology, 13(6), 350.
This journal is completely focused on the implementation of Big Data in the field of
Health care system. The major section that gets affected due to the implementation of Big Data is
health care system. In case the health care system is processed with the help of the Big Data
analytics, the major benefit it will enjoy is that the processing of the data that are already
generated will incur the fact that the data management is performed with utmost efficiency. This
is the main reason that the there is an advancement in the health care technology. The resource
that are generated in order to complete the operations re stored in the data base. This helps in
performing of the operation in a much better and proficient way. This journal is not very well
formatted and the in texting of the data is not accurate. This is the major reason that this journal
is not a very efficient and this journal is not considered as a good journal
6
BIG DATA IN HEALTH CARE
Article 6
McGlynn, E. A. (2016). BIG DATA IN HEALTH AND HEALTH-CARE: HOPES AND
FEARS FOR THE FUTURE. Perspectives on Complex Global Challenges: Education,
3Energy, Healthcare, Security, and Resilience, 1.
This journal is completely based on the projection of data processing in Big Data and this
is the sole reason that this book finds much interest when the topic of Big Data in health care
arises. This journal has defined the required terminologies with high definitive skills and tis leads
to be fact that he research team finds it is easy to get the concept of the implementation of Big
Data in the sector of Health Care. This journal provides both the negative and positive aspect of
the data management system with the help of big data in health care system. This is the sole
reason that this journal has found its identity among the researchers that are performing research
on the terminologies of Big data implementation on Health Care.
Article 7
Tu, J. V., Chu, A., Donovan, L. R., Ko, D. T., Booth, G. L., Tu, K., ... & Kapral, M. K. (2015).
The Cardiovascular Health in Ambulatory Care Research Team (CANHEART) using big data
to measure and improve cardiovascular health and healthcare services. Circulation:
Cardiovascular Quality and Outcomes, 8(2), 204-212.
This article is basically about the expansion of Big Data in the corporate sector and the
regular day to day life of the clients who use the terminologies of big data. This journal is not
focused only on the implementation of big data in the field of Health care. This journal states the
procedures that are incurred in the fetching, storing and circulation of data with the help of Big
Data. This journal is solely focused on the processing if the Big Data format and is not precisely
BIG DATA IN HEALTH CARE
Article 6
McGlynn, E. A. (2016). BIG DATA IN HEALTH AND HEALTH-CARE: HOPES AND
FEARS FOR THE FUTURE. Perspectives on Complex Global Challenges: Education,
3Energy, Healthcare, Security, and Resilience, 1.
This journal is completely based on the projection of data processing in Big Data and this
is the sole reason that this book finds much interest when the topic of Big Data in health care
arises. This journal has defined the required terminologies with high definitive skills and tis leads
to be fact that he research team finds it is easy to get the concept of the implementation of Big
Data in the sector of Health Care. This journal provides both the negative and positive aspect of
the data management system with the help of big data in health care system. This is the sole
reason that this journal has found its identity among the researchers that are performing research
on the terminologies of Big data implementation on Health Care.
Article 7
Tu, J. V., Chu, A., Donovan, L. R., Ko, D. T., Booth, G. L., Tu, K., ... & Kapral, M. K. (2015).
The Cardiovascular Health in Ambulatory Care Research Team (CANHEART) using big data
to measure and improve cardiovascular health and healthcare services. Circulation:
Cardiovascular Quality and Outcomes, 8(2), 204-212.
This article is basically about the expansion of Big Data in the corporate sector and the
regular day to day life of the clients who use the terminologies of big data. This journal is not
focused only on the implementation of big data in the field of Health care. This journal states the
procedures that are incurred in the fetching, storing and circulation of data with the help of Big
Data. This journal is solely focused on the processing if the Big Data format and is not precisely
7
BIG DATA IN HEALTH CARE
defined in the processing of data management in the curse of technicality and this is the reason
that this journal does not provide a precise and distinctive data management. This is also one of
the main reason that this journal is not referred by several other researchers for completing their
research and this also proves the fact that the researchers always want distinctive and precise
literature for conducting their research
Article 8
Ellaway, R. H., Pusic, M. V., Galbraith, R. M., & Cameron, T. (2014). Developing the role of
big data and analytics in health professional education. Medical teacher, 36(3), 216-222.
This journal is completely focused on the usage of Big Data in the field of Health Care.
This journal is distinctively written to show the efficiency in the processing of Big Data in the
field of Health care. This journal only states the benefits that are enjoyed by the health care
department in the course of usage of big data. This journal does not states the disadvantages that
are present while using the platform of big data in the prosecution of Big Data. This is the reason
that this journal does not act as a complete reference to the researchers for completing their
project as the negative aspect of the technology is not shown in this journal
Article 9
Curtis, L. H., Brown, J., & Platt, R. (2014). Four health data networks illustrate the potential
for a shared national multipurpose big-data network. Health affairs, 33(7), 1178-1186.
This journal basically deals with the technologies that are required for implementation of
the Big Data. This journal mainly deals with the processes that are required for the maintenance
of the platform of big data. This leads to the fact that this journal helps in understanding the
requirements that are required for completion of the implementation process. This journal is
BIG DATA IN HEALTH CARE
defined in the processing of data management in the curse of technicality and this is the reason
that this journal does not provide a precise and distinctive data management. This is also one of
the main reason that this journal is not referred by several other researchers for completing their
research and this also proves the fact that the researchers always want distinctive and precise
literature for conducting their research
Article 8
Ellaway, R. H., Pusic, M. V., Galbraith, R. M., & Cameron, T. (2014). Developing the role of
big data and analytics in health professional education. Medical teacher, 36(3), 216-222.
This journal is completely focused on the usage of Big Data in the field of Health Care.
This journal is distinctively written to show the efficiency in the processing of Big Data in the
field of Health care. This journal only states the benefits that are enjoyed by the health care
department in the course of usage of big data. This journal does not states the disadvantages that
are present while using the platform of big data in the prosecution of Big Data. This is the reason
that this journal does not act as a complete reference to the researchers for completing their
project as the negative aspect of the technology is not shown in this journal
Article 9
Curtis, L. H., Brown, J., & Platt, R. (2014). Four health data networks illustrate the potential
for a shared national multipurpose big-data network. Health affairs, 33(7), 1178-1186.
This journal basically deals with the technologies that are required for implementation of
the Big Data. This journal mainly deals with the processes that are required for the maintenance
of the platform of big data. This leads to the fact that this journal helps in understanding the
requirements that are required for completion of the implementation process. This journal is
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BIG DATA IN HEALTH CARE
completely focused on the terminologies that are required for the data that are big data
management. This journal does not provide the advantages that are present in the implementation
of the Big Data in the field of Health care system but provides a vivid knowledge regarding the
technique of implementing the Big Data system in the Health Care system.
Article 10
Sivarajah, U., Kamal, M. M., Irani, Z., & Weerakkody, V. (2017). Critical analysis of Big Data
challenges and analytical methods. Journal of Business Research, 70, 263-286.
This journal states about the advantages that Big Data provides in the field of health care
and the presence of reference setting infrastructure is also stated in this journal. This is the reason
that the storage processing is done with the help of the data management. This is the sole reason
that this journal finds it is important to complete the projection of the business management of
the process. This journal also provides proper in texting of data that are quoted from other
journals. This is one of the reason that ensures the fact that this journal is taken into
consideration for completion of the project.
Article 11
Hilbert, M. (2016). Big data for development: A review of promises and
challenges. Development Policy Review, 34(1), 135-174.
This journal is very precise in nature and the data that are present in this journal are very
distinctive in nature. Specialty of this journal is that the data that is present in the terminology of
Big Data is very well formatted. This journal also states the advantages that the health care sector
will enjoy after the implementation of the Big Data. This journal not only states the advantages
that the researchers will enjoy but also identifies the most important fact that that been providing
BIG DATA IN HEALTH CARE
completely focused on the terminologies that are required for the data that are big data
management. This journal does not provide the advantages that are present in the implementation
of the Big Data in the field of Health care system but provides a vivid knowledge regarding the
technique of implementing the Big Data system in the Health Care system.
Article 10
Sivarajah, U., Kamal, M. M., Irani, Z., & Weerakkody, V. (2017). Critical analysis of Big Data
challenges and analytical methods. Journal of Business Research, 70, 263-286.
This journal states about the advantages that Big Data provides in the field of health care
and the presence of reference setting infrastructure is also stated in this journal. This is the reason
that the storage processing is done with the help of the data management. This is the sole reason
that this journal finds it is important to complete the projection of the business management of
the process. This journal also provides proper in texting of data that are quoted from other
journals. This is one of the reason that ensures the fact that this journal is taken into
consideration for completion of the project.
Article 11
Hilbert, M. (2016). Big data for development: A review of promises and
challenges. Development Policy Review, 34(1), 135-174.
This journal is very precise in nature and the data that are present in this journal are very
distinctive in nature. Specialty of this journal is that the data that is present in the terminology of
Big Data is very well formatted. This journal also states the advantages that the health care sector
will enjoy after the implementation of the Big Data. This journal not only states the advantages
that the researchers will enjoy but also identifies the most important fact that that been providing
9
BIG DATA IN HEALTH CARE
benefit to the health care organization. This journal has identified data storage facility as an asset
of reference as the most important aspect of applying the platform of Big Data in the field of
Health Care.
Article 12
Lv, Z., Chirivella, J., & Gagliardo, P. (2016). Bigdata oriented multimedia mobile health
applications. Journal of medical systems, 40(5), 120.
This journal basically deals with the advantages of Big data. This journal also states that
the data of the patients are also stored with the help of implementation of Big Data in the course
of completion of the project. This collection data will be acting as the major advantage for
providing proper treatment to the patients. This journal also states the disadvantages that are
resent in the course 0f implementing the Big Data in the health care system. This journal
identifies that the privacy of patients will be at stake in case the data that is stored in the data
base gets accessed by the imposters, leading to the fact that the imposters can perform
misleading as with the help of the data that are present in the data base.
BIG DATA IN HEALTH CARE
benefit to the health care organization. This journal has identified data storage facility as an asset
of reference as the most important aspect of applying the platform of Big Data in the field of
Health Care.
Article 12
Lv, Z., Chirivella, J., & Gagliardo, P. (2016). Bigdata oriented multimedia mobile health
applications. Journal of medical systems, 40(5), 120.
This journal basically deals with the advantages of Big data. This journal also states that
the data of the patients are also stored with the help of implementation of Big Data in the course
of completion of the project. This collection data will be acting as the major advantage for
providing proper treatment to the patients. This journal also states the disadvantages that are
resent in the course 0f implementing the Big Data in the health care system. This journal
identifies that the privacy of patients will be at stake in case the data that is stored in the data
base gets accessed by the imposters, leading to the fact that the imposters can perform
misleading as with the help of the data that are present in the data base.
10
BIG DATA IN HEALTH CARE
References
Auffray, C., Balling, R., Barroso, I., Bencze, L., Benson, M., Bergeron, J. & Del Signore, S.
(2016). Making sense of big data in health research: towards an EU action plan. Genome
medicine, 8(1), 71.
Bates, D. W., Saria, S., Ohno-Machado, L., Shah, A., & Escobar, G. (2014). Big data in health
care: using analytics to identify and manage high-risk and high-cost patients. Health
Affairs, 33(7), 1123-1131.
Curtis, L. H., Brown, J., & Platt, R. (2014). Four health data networks illustrate the potential for
a shared national multipurpose big-data network. Health affairs, 33(7), 1178-1186.
Ellaway, R. H., Pusic, M. V., Galbraith, R. M., & Cameron, T. (2014). Developing the role of
big data and analytics in health professional education. Medical teacher, 36(3), 216-222.
Hilbert, M. (2016). Big data for development: A review of promises and
challenges. Development Policy Review, 34(1), 135-174.
Lv, Z., Chirivella, J., & Gagliardo, P. (2016). Bigdata oriented multimedia mobile health
applications. Journal of medical systems, 40(5), 120.
McGlynn, E. A. (2016). BIG DATA IN HEALTH AND HEALTH-CARE: HOPES AND
FEARS FOR THE FUTURE. Perspectives on Complex Global Challenges: Education,
3Energy, Healthcare, Security, and Resilience, 1.
Raghupathi, W., & Raghupathi, V. (2014). Big data analytics in healthcare: promise and
potential. Health information science and systems, 2(1), 3.
BIG DATA IN HEALTH CARE
References
Auffray, C., Balling, R., Barroso, I., Bencze, L., Benson, M., Bergeron, J. & Del Signore, S.
(2016). Making sense of big data in health research: towards an EU action plan. Genome
medicine, 8(1), 71.
Bates, D. W., Saria, S., Ohno-Machado, L., Shah, A., & Escobar, G. (2014). Big data in health
care: using analytics to identify and manage high-risk and high-cost patients. Health
Affairs, 33(7), 1123-1131.
Curtis, L. H., Brown, J., & Platt, R. (2014). Four health data networks illustrate the potential for
a shared national multipurpose big-data network. Health affairs, 33(7), 1178-1186.
Ellaway, R. H., Pusic, M. V., Galbraith, R. M., & Cameron, T. (2014). Developing the role of
big data and analytics in health professional education. Medical teacher, 36(3), 216-222.
Hilbert, M. (2016). Big data for development: A review of promises and
challenges. Development Policy Review, 34(1), 135-174.
Lv, Z., Chirivella, J., & Gagliardo, P. (2016). Bigdata oriented multimedia mobile health
applications. Journal of medical systems, 40(5), 120.
McGlynn, E. A. (2016). BIG DATA IN HEALTH AND HEALTH-CARE: HOPES AND
FEARS FOR THE FUTURE. Perspectives on Complex Global Challenges: Education,
3Energy, Healthcare, Security, and Resilience, 1.
Raghupathi, W., & Raghupathi, V. (2014). Big data analytics in healthcare: promise and
potential. Health information science and systems, 2(1), 3.
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Need help grading? Try our AI Grader for instant feedback on your assignments.
11
BIG DATA IN HEALTH CARE
Rumsfeld, J. S., Joynt, K. E., & Maddox, T. M. (2016). Big data analytics to improve
cardiovascular care: promise and challenges. Nature Reviews Cardiology, 13(6), 350.
Sivarajah, U., Kamal, M. M., Irani, Z., & Weerakkody, V. (2017). Critical analysis of Big Data
challenges and analytical methods. Journal of Business Research, 70, 263-286.
Tu, J. V., Chu, A., Donovan, L. R., Ko, D. T., Booth, G. L., Tu, K.. & Kapral, M. K. (2015). The
Cardiovascular Health in Ambulatory Care Research Team (CANHEART) using big data
to measure and improve cardiovascular health and healthcare services. Circulation:
Cardiovascular Quality and Outcomes, 8(2), 204-212.
Wang, Y., Kung, L., & Byrd, T. A. (2018). Big data analytics: Understanding its capabilities and
potential benefits for healthcare organizations. Technological Forecasting and Social
Change, 126, 3-13.
BIG DATA IN HEALTH CARE
Rumsfeld, J. S., Joynt, K. E., & Maddox, T. M. (2016). Big data analytics to improve
cardiovascular care: promise and challenges. Nature Reviews Cardiology, 13(6), 350.
Sivarajah, U., Kamal, M. M., Irani, Z., & Weerakkody, V. (2017). Critical analysis of Big Data
challenges and analytical methods. Journal of Business Research, 70, 263-286.
Tu, J. V., Chu, A., Donovan, L. R., Ko, D. T., Booth, G. L., Tu, K.. & Kapral, M. K. (2015). The
Cardiovascular Health in Ambulatory Care Research Team (CANHEART) using big data
to measure and improve cardiovascular health and healthcare services. Circulation:
Cardiovascular Quality and Outcomes, 8(2), 204-212.
Wang, Y., Kung, L., & Byrd, T. A. (2018). Big data analytics: Understanding its capabilities and
potential benefits for healthcare organizations. Technological Forecasting and Social
Change, 126, 3-13.
1 out of 11
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