HIEO: Data Collection Methodology and Organizational Guidelines
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This report delves into the Health Information Exchange Organization (HIEO), examining its data collection methodologies and organizational structure. It identifies the need for improved data-collection mechanisms, proposing a central data-collection point with trained personnel and appropriate software to ensure data quality, transparency, and validity. The report emphasizes the role of an Enterprise Data Integrity Team, comprising representatives from various departments, and its accountability to the HIEO Information Governance Committee. It outlines organizational guidelines for measuring data quality, focusing on data collection standards, confidentiality, and accuracy. The report also defines the organizational burden and accountability of both HIEO and its member organizations, stressing the importance of compliance with data guidelines. Furthermore, it addresses the need for an HIEO policy regarding the confidentiality of patient information and adherence to ethical standards. The report includes a business flow chart and references, providing a comprehensive analysis of HIEO's operations and recommendations for improvement.

Running head: HEALTH INFORMATION EXCHANGE ORGANIZATION (HIEO) 1
Health Information Exchange Organization (HIEO)
Name
Institution
Health Information Exchange Organization (HIEO)
Name
Institution
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HEALTH INFORMATION EXCHANGE ORGANIZATION (HIEO) 2
Health Information Exchange Organization (HIEO)
Identify and develop a methodology to collect data that will guide or influence strategic
and/or organizational management
Since its establishment, the Health Information Exchange Organization (HIEO) has been
doing a commendable in promoting the sharing of patients’ data by different healthcare facilities
within the entire healthcare system. However, the organization has not been able to accomplish
all its objectives because of the identified challenges. To overcome this, the organization needs
to improve its data-collection mechanisms. This can be done by having a central data-collection
point composed of well-trained statisticians, information technicians, and Information
Technology (IT) experts (Furukawa, King, Patel, Hsiao, Adler-Milstein & Jha, 2014). However,
to measure the data quality and EMPI, the personnel should use appropriate software to enhance
transparency, reliability, and validity of the data as well as identify and address any loopholes
like duplication of data that might be experienced.
The Individuals/ Departments that should be involved and define what each of their roles
Quality of data is what HIEO aims at achieving. To accomplish that and overcome any
hurdles in its operations, HIEO should involve the Enterprise Data Integrity Team. It should
be a diverse team made up of participants from different departments including Finance
Department, Nursing Department, Physician Departments, and the Record-Keeping personnel.
Each of these units should be directly involved in the data-sharing initiatives because they
have important contributions to make (Moher, Glasziou, Chalmers, Nasser, Bossuyt Korevaar
& Boutron, 2016). For example, the Finance Department should provide information on
insurance and money matters. The members of the nursing and physician sections should
provide information on the patient’s medical history, past illnesses and treatments. The health
Health Information Exchange Organization (HIEO)
Identify and develop a methodology to collect data that will guide or influence strategic
and/or organizational management
Since its establishment, the Health Information Exchange Organization (HIEO) has been
doing a commendable in promoting the sharing of patients’ data by different healthcare facilities
within the entire healthcare system. However, the organization has not been able to accomplish
all its objectives because of the identified challenges. To overcome this, the organization needs
to improve its data-collection mechanisms. This can be done by having a central data-collection
point composed of well-trained statisticians, information technicians, and Information
Technology (IT) experts (Furukawa, King, Patel, Hsiao, Adler-Milstein & Jha, 2014). However,
to measure the data quality and EMPI, the personnel should use appropriate software to enhance
transparency, reliability, and validity of the data as well as identify and address any loopholes
like duplication of data that might be experienced.
The Individuals/ Departments that should be involved and define what each of their roles
Quality of data is what HIEO aims at achieving. To accomplish that and overcome any
hurdles in its operations, HIEO should involve the Enterprise Data Integrity Team. It should
be a diverse team made up of participants from different departments including Finance
Department, Nursing Department, Physician Departments, and the Record-Keeping personnel.
Each of these units should be directly involved in the data-sharing initiatives because they
have important contributions to make (Moher, Glasziou, Chalmers, Nasser, Bossuyt Korevaar
& Boutron, 2016). For example, the Finance Department should provide information on
insurance and money matters. The members of the nursing and physician sections should
provide information on the patient’s medical history, past illnesses and treatments. The health

HEALTH INFORMATION EXCHANGE ORGANIZATION (HIEO) 3
records personnel should also be included because they can avail comprehensive and reliable
data on the patients from their respective facilities.
Define the purpose and the value to the organization of an Enterprise Data Integrity team
The Enterprise Data Integrity team is a group of representatives carefully chosen from
each of the HIEO network partners to act as one body uniting the entire system. Its purpose is
that it can be relied upon to promote the collection and storage of accurate, transparent, and
high-quality data from each of the healthcare facilities whose information is polled together
(Ancker, Miller, Patel, Kaushal & with the HITEC Investigators, 2013). However, to effectively
discharge its role, the team should be accountable to the HIEO Information Governance
Committee.
Explain the Enterprise Data Integrity team’s accountability within the enterprise
To be accountable, it means that the Enterprise Data Integrity team must be answerable
to the HIEO Information Governance Committee. Meaning, it should discharge all its
assigned duties and obligations responsibly. It should collaborate with each of department to
get a pool of transparent, accurate, updated, and valid information that can be relied upon by
the organization to capture details of each and every patient ever served by the healthcare
facilities within the network (Furukawa, King, Patel, Hsiao, Adler-Milstein & Jha, 2014). That
is what it means to be accountable because health records must be accurate for the patients to
get the right care that they deserve.
Create an organizational guideline to measure data quality checks that promote the accuracy
of cross-organizational patient identity matching.
records personnel should also be included because they can avail comprehensive and reliable
data on the patients from their respective facilities.
Define the purpose and the value to the organization of an Enterprise Data Integrity team
The Enterprise Data Integrity team is a group of representatives carefully chosen from
each of the HIEO network partners to act as one body uniting the entire system. Its purpose is
that it can be relied upon to promote the collection and storage of accurate, transparent, and
high-quality data from each of the healthcare facilities whose information is polled together
(Ancker, Miller, Patel, Kaushal & with the HITEC Investigators, 2013). However, to effectively
discharge its role, the team should be accountable to the HIEO Information Governance
Committee.
Explain the Enterprise Data Integrity team’s accountability within the enterprise
To be accountable, it means that the Enterprise Data Integrity team must be answerable
to the HIEO Information Governance Committee. Meaning, it should discharge all its
assigned duties and obligations responsibly. It should collaborate with each of department to
get a pool of transparent, accurate, updated, and valid information that can be relied upon by
the organization to capture details of each and every patient ever served by the healthcare
facilities within the network (Furukawa, King, Patel, Hsiao, Adler-Milstein & Jha, 2014). That
is what it means to be accountable because health records must be accurate for the patients to
get the right care that they deserve.
Create an organizational guideline to measure data quality checks that promote the accuracy
of cross-organizational patient identity matching.
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HEALTH INFORMATION EXCHANGE ORGANIZATION (HIEO) 4
If HIEO was to come up with an organizational guideline for measuring data quality, it
would be much better if it would focus on a number of issues. First, the guideline should spell
out the standards to be followed when collecting data from each of the patients. Besides, it
should dictate what kinds of information that should be availed to the organization and given
to the members to use (Carbone, Jensen & Sato, 2016). In addition, the guidelines should
address the issue of confidentiality and the preservation of the patient’s private health
information. A strict compliance with the ethical standards governing data usage must be
followed without failure. Lastly, the guidelines should equip the organizations with the
information that they need to be followed to ensure that all the data provided are accurate and
error-free. Meaning, it should be upon each organization to ensure that the data it avails is
correct and does not contain any misleading information on the patients.
Definition of the Organizational Burden and Accountability for each HIEO Member
Both HIEO and its member organizations have a burden of accountability as far as the
patients’ data storage, retrieval, and usage is concerned. As the overall, HIEO has an
obligation of ensuring that the each of its members comply with its data guidelines. The
organization should use the HIEO Information Governance Committee to ensure that every
activity is done as expected. Meaning, there must be transparency, integrity, accuracy, and
completeness of the data from individual members. The members, on the other hand, have a
burden of ensuring that the data from their respective entities meet the threshold of
completeness, integrity, and accuracy (Rudin, Motala, Goldzweig & Shekelle, 2014). If each of
these entities discharges their mandate as required, HIEO will achieve its goal of establishing
If HIEO was to come up with an organizational guideline for measuring data quality, it
would be much better if it would focus on a number of issues. First, the guideline should spell
out the standards to be followed when collecting data from each of the patients. Besides, it
should dictate what kinds of information that should be availed to the organization and given
to the members to use (Carbone, Jensen & Sato, 2016). In addition, the guidelines should
address the issue of confidentiality and the preservation of the patient’s private health
information. A strict compliance with the ethical standards governing data usage must be
followed without failure. Lastly, the guidelines should equip the organizations with the
information that they need to be followed to ensure that all the data provided are accurate and
error-free. Meaning, it should be upon each organization to ensure that the data it avails is
correct and does not contain any misleading information on the patients.
Definition of the Organizational Burden and Accountability for each HIEO Member
Both HIEO and its member organizations have a burden of accountability as far as the
patients’ data storage, retrieval, and usage is concerned. As the overall, HIEO has an
obligation of ensuring that the each of its members comply with its data guidelines. The
organization should use the HIEO Information Governance Committee to ensure that every
activity is done as expected. Meaning, there must be transparency, integrity, accuracy, and
completeness of the data from individual members. The members, on the other hand, have a
burden of ensuring that the data from their respective entities meet the threshold of
completeness, integrity, and accuracy (Rudin, Motala, Goldzweig & Shekelle, 2014). If each of
these entities discharges their mandate as required, HIEO will achieve its goal of establishing
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HEALTH INFORMATION EXCHANGE ORGANIZATION (HIEO) 5
a pool of accurate, complete, and transparent data that can be relied upon by a large network
of healthcare facilities within the country.
Prepare an HIEO policy
One of the issues that must be addressed by HIEO is about confidentiality of the
information retrieved from the individual patients. Although it might take custody of the
information, the organization does not have an exclusive right to use the data the way it
wishes. This is because it is bound by the ethical standards governing the usage of private
health information of patients. The organization should come up with a policy-guideline that
outlines how responsible the pooled data should be used by each of the members (Byrne &
Dougherty, 2013). Once the data is accessed, it should only be used for the rightful medical
purpose for which it was meant. This guideline will ensure that the data is not abused, but
used responsibly. However, the organization should formulate its policies based on the
confidential laws applicable within the state.
Other Specific Types of Consent Values to be considered
The usage of the patient data by the member organizations of HIEO is subject to the
confidentiality laws that are applicable in each state. All the members, therefore, have a
mandate to strictly comply with the ethical standards governing the usage of data pertaining to
genetic testing, STD, HIV, cancer, diabetes, and other cardiovascular diseases that are
applicable.
a pool of accurate, complete, and transparent data that can be relied upon by a large network
of healthcare facilities within the country.
Prepare an HIEO policy
One of the issues that must be addressed by HIEO is about confidentiality of the
information retrieved from the individual patients. Although it might take custody of the
information, the organization does not have an exclusive right to use the data the way it
wishes. This is because it is bound by the ethical standards governing the usage of private
health information of patients. The organization should come up with a policy-guideline that
outlines how responsible the pooled data should be used by each of the members (Byrne &
Dougherty, 2013). Once the data is accessed, it should only be used for the rightful medical
purpose for which it was meant. This guideline will ensure that the data is not abused, but
used responsibly. However, the organization should formulate its policies based on the
confidential laws applicable within the state.
Other Specific Types of Consent Values to be considered
The usage of the patient data by the member organizations of HIEO is subject to the
confidentiality laws that are applicable in each state. All the members, therefore, have a
mandate to strictly comply with the ethical standards governing the usage of data pertaining to
genetic testing, STD, HIV, cancer, diabetes, and other cardiovascular diseases that are
applicable.

HEALTH INFORMATION EXCHANGE ORGANIZATION (HIEO) 6
Business Flow Chart
The data that HIEO avails are originally from individual patients. Whenever the
patients seek for medical services from a healthcare facility, their information is captured and
stored. From there, they are availed to HIE which puts it in a pool of its data and makes it
available for use by its members.
References
Ancker, J. S., Miller, M. C., Patel, V., Kaushal, R., & with the HITEC Investigators. (2013).
Sociotechnical challenges to developing technologies for patient access to health
information exchange data. Journal of the American Medical Informatics Association,
21(4), 664-670.
Byrne, C., & Dougherty, M. L. (2013). Long-term and Post-acute Care Providers Engaged in
Health Information Exchange. Office of Disability, Aging and Long-Term Care Policy,
Office of the Assistant Secretary for Planning and Evaluation, US Department of Health
and Human Services.
Carbone, A., Jensen, M., & Sato, A. H. (2016). Challenges in data science: a complex systems
Member OrganizationIndividual Patient
HIEO
Business Flow Chart
The data that HIEO avails are originally from individual patients. Whenever the
patients seek for medical services from a healthcare facility, their information is captured and
stored. From there, they are availed to HIE which puts it in a pool of its data and makes it
available for use by its members.
References
Ancker, J. S., Miller, M. C., Patel, V., Kaushal, R., & with the HITEC Investigators. (2013).
Sociotechnical challenges to developing technologies for patient access to health
information exchange data. Journal of the American Medical Informatics Association,
21(4), 664-670.
Byrne, C., & Dougherty, M. L. (2013). Long-term and Post-acute Care Providers Engaged in
Health Information Exchange. Office of Disability, Aging and Long-Term Care Policy,
Office of the Assistant Secretary for Planning and Evaluation, US Department of Health
and Human Services.
Carbone, A., Jensen, M., & Sato, A. H. (2016). Challenges in data science: a complex systems
Member OrganizationIndividual Patient
HIEO
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HEALTH INFORMATION EXCHANGE ORGANIZATION (HIEO) 7
perspective. Chaos, Solitons & Fractals, 90, 1-7.
Furukawa, M. F., King, J., Patel, V., Hsiao, C. J., Adler-Milstein, J., & Jha, A. K. (2014).
Despite substantial progress in EHR adoption, health information exchange and patient
engagement remain low in office settings. Health Affairs, 33(9), 1672-1679.
Moher, D., Glasziou, P., Chalmers, I., Nasser, M., Bossuyt, P. M., Korevaar, D. A., ... &
Boutron, I. (2016). Increasing value and reducing waste in biomedical research: who's
listening?. The Lancet, 387(10027), 1573-1586.
Rudin, R. S., Motala, A., Goldzweig, C. L., & Shekelle, P. G. (2014). Usage and effect of health
information exchange: a systematic review. Annals of internal medicine, 161(11), 803-
811.
perspective. Chaos, Solitons & Fractals, 90, 1-7.
Furukawa, M. F., King, J., Patel, V., Hsiao, C. J., Adler-Milstein, J., & Jha, A. K. (2014).
Despite substantial progress in EHR adoption, health information exchange and patient
engagement remain low in office settings. Health Affairs, 33(9), 1672-1679.
Moher, D., Glasziou, P., Chalmers, I., Nasser, M., Bossuyt, P. M., Korevaar, D. A., ... &
Boutron, I. (2016). Increasing value and reducing waste in biomedical research: who's
listening?. The Lancet, 387(10027), 1573-1586.
Rudin, R. S., Motala, A., Goldzweig, C. L., & Shekelle, P. G. (2014). Usage and effect of health
information exchange: a systematic review. Annals of internal medicine, 161(11), 803-
811.
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