Assignment on Electronic Record-Keeping in Healthcare
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Electronic
Record-Keeping
in Healthcare
Name of the Student
Name of the University
Record-Keeping
in Healthcare
Name of the Student
Name of the University
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Electronic Health Record (EHR)
A digital version of the paper chart of a
patient
They offer patient-centered and real-time
records (Premarathne et al., 2016)
Allows a detailed history of medical results
for a patient
Provides access to a streamlined and
automated workflow (Henry et al., 2016)
A digital version of the paper chart of a
patient
They offer patient-centered and real-time
records (Premarathne et al., 2016)
Allows a detailed history of medical results
for a patient
Provides access to a streamlined and
automated workflow (Henry et al., 2016)
Objective of the Presentation Idea
The objective of the presentation would be focused
upon:
Presenting differentiation between EHR, EMR and
PHR
Differentiating between AIS and CIS
Use of Cerner and Epic systems
Strength and weaknesses of Cerner and Epic
systems
The objective of the presentation would be focused
upon:
Presenting differentiation between EHR, EMR and
PHR
Differentiating between AIS and CIS
Use of Cerner and Epic systems
Strength and weaknesses of Cerner and Epic
systems
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Differentiation between EHR, EMR and PHR systems
The ideas based on differentiation between EHR,
EMR and PHR systems are presented below:
EHR – They provide clinical data, which are
collected apart from clinical data.
Information is collected from all clinicians involved
within patient care (Charles, Gabriel & Searcy,
2015).
EHR supports the sharing of information with
various health care suppliers.
The ideas based on differentiation between EHR,
EMR and PHR systems are presented below:
EHR – They provide clinical data, which are
collected apart from clinical data.
Information is collected from all clinicians involved
within patient care (Charles, Gabriel & Searcy,
2015).
EHR supports the sharing of information with
various health care suppliers.
Differentiation between EHR, EMR and PHR systems
EMR – The discussion of EMR helps in supporting the
following aspects:
These are digital versions of supported paper charts
found in offices, hospitals and clinics.
The EMR comprises of notes collected in favor of
clinicians for treatment and diagnosis.
They help healthcare providers for tracking data over
time, monitoring patients and improving quality of
service (Hasanain, Vallmuur & Clark, 2015)
EMR – The discussion of EMR helps in supporting the
following aspects:
These are digital versions of supported paper charts
found in offices, hospitals and clinics.
The EMR comprises of notes collected in favor of
clinicians for treatment and diagnosis.
They help healthcare providers for tracking data over
time, monitoring patients and improving quality of
service (Hasanain, Vallmuur & Clark, 2015)
Differentiation between EHR, EMR and PHR systems
PHR – Some of the major aspects based on PHR
are discussed as:
PHR comprises of same form of information as
contained by EHRs
The use of PHR is related to store records of
patients only (Liu et al., 2017)
PHRs collect data from reliable sources such as
home monitoring devices, patients and clinicians
PHR – Some of the major aspects based on PHR
are discussed as:
PHR comprises of same form of information as
contained by EHRs
The use of PHR is related to store records of
patients only (Liu et al., 2017)
PHRs collect data from reliable sources such as
home monitoring devices, patients and clinicians
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Differentiation between CIS and AIS
Clinical Information Systems (CIS)
An information systems specifically designed
for use in critical scenarios
Establishes network with computing devices
located in modern hospitals, radiology and
pathology (Wang et al., 2018)
Clinicians have a better view of data gathered
from CIS situated beside the patient’s bed
Clinical Information Systems (CIS)
An information systems specifically designed
for use in critical scenarios
Establishes network with computing devices
located in modern hospitals, radiology and
pathology (Wang et al., 2018)
Clinicians have a better view of data gathered
from CIS situated beside the patient’s bed
Differentiation between CIS and AIS
Administrative Information Systems (AIS)
AIS provides IT solutions and services for
enhancing administrative functions at all levels
AIS provides technical and programming support
between different administrative departments
(Wager, Lee & Glaser, 2017)
The services are supported based on strong
partnerships based on ITS departments and
sponsorship departments
Administrative Information Systems (AIS)
AIS provides IT solutions and services for
enhancing administrative functions at all levels
AIS provides technical and programming support
between different administrative departments
(Wager, Lee & Glaser, 2017)
The services are supported based on strong
partnerships based on ITS departments and
sponsorship departments
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Cerner and Epic Systems
Cerner and Epic are considered as designers of
health based IT software
Both vendors help towards offering cloud-based
solutions for ambulatory care
Cerner and Epic provides assistance to
developmental organizations based on driving
adoption
They do not disclose pricing information over the
public platform
Cerner and Epic are considered as designers of
health based IT software
Both vendors help towards offering cloud-based
solutions for ambulatory care
Cerner and Epic provides assistance to
developmental organizations based on driving
adoption
They do not disclose pricing information over the
public platform
Systems being used at Organization
Cerner and Epic systems are being currently
being used at the organization
Epic has been majorly been chosen as it is
gaining extreme popularity in physician
practices and smaller hospitals
Cerner is also widely used for improving the
revenue cycle management in the
healthcare sector
Cerner and Epic systems are being currently
being used at the organization
Epic has been majorly been chosen as it is
gaining extreme popularity in physician
practices and smaller hospitals
Cerner is also widely used for improving the
revenue cycle management in the
healthcare sector
The EPIC System
The EHR giant helps towards supporting the
storing of medical records for millions of
people
They support tele-health appointments and
medical service providers (Johnson, 2016)
The EHR based system offer real-time and
updated medical benefit checks for
prescribing over the workflow
The EHR giant helps towards supporting the
storing of medical records for millions of
people
They support tele-health appointments and
medical service providers (Johnson, 2016)
The EHR based system offer real-time and
updated medical benefit checks for
prescribing over the workflow
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The Cerner System
Cerner is also considered as another well-form of
EHR system providing major facilities in R&D
They have partnered with AWS for modernizing
and increasing system efficiencies (Ekblaw et al.,
2016)
Partnership with Uber Health has led to non-
emergency transportation services
Supports medical assistance for patients suffering
from chronic conditions
Cerner is also considered as another well-form of
EHR system providing major facilities in R&D
They have partnered with AWS for modernizing
and increasing system efficiencies (Ekblaw et al.,
2016)
Partnership with Uber Health has led to non-
emergency transportation services
Supports medical assistance for patients suffering
from chronic conditions
Discussion on the Competitive Market
(Figure 1: The Competitive Market Position for Cerner and EPIC Systems
(Source: Everson & Adler-Milstein, 2016)
(Figure 1: The Competitive Market Position for Cerner and EPIC Systems
(Source: Everson & Adler-Milstein, 2016)
Rating of the EHR Systems
The understanding over the practical use of
both Cerner and EPIC systems have led to the
following conclusion regarding their ratings:
Cerner –
EPIC -
The understanding over the practical use of
both Cerner and EPIC systems have led to the
following conclusion regarding their ratings:
Cerner –
EPIC -
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Strengths of Cerner System
The strengths that are possessed by Cerner
Systems are:
The EHR systems helps towards providing
differentiation between EHR systems and
tight integration (Tan et al., 2018)
They help in supporting patients and
clinicians by providing health advisory
services
The strengths that are possessed by Cerner
Systems are:
The EHR systems helps towards providing
differentiation between EHR systems and
tight integration (Tan et al., 2018)
They help in supporting patients and
clinicians by providing health advisory
services
Weaknesses of Cerner System
The weaknesses of using Cerner Systems are:
The portal of the Cerner EHR offers many
clicks before performing any actions
Offers a long and thorough solution for
offering a learning curve
The weaknesses of using Cerner Systems are:
The portal of the Cerner EHR offers many
clicks before performing any actions
Offers a long and thorough solution for
offering a learning curve
Strengths of EPIC System
The strengths that are possessed by EPIC
Systems are:
Offers a strong base for customer support
Provides an extensive range of solutions and
services (Lister et al., 2017)
The EHR system is widely recognized
The strengths that are possessed by EPIC
Systems are:
Offers a strong base for customer support
Provides an extensive range of solutions and
services (Lister et al., 2017)
The EHR system is widely recognized
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Weaknesses of EPIC System
The weaknesses of EPIC Systems are:
Presents a costly and challenging platform
Discourages the use of various other EHR
systems
The weaknesses of EPIC Systems are:
Presents a costly and challenging platform
Discourages the use of various other EHR
systems
References
Charles, D., Gabriel, M., & Searcy, T. (2015). Adoption of electronic health record systems among US non-
federal acute care hospitals: 2008-2014. ONC data brief, 23(4).
Ekblaw, A., Azaria, A., Halamka, J. D., & Lippman, A. (2016, August). A Case Study for Blockchain in
Healthcare:“MedRec” prototype for electronic health records and medical research data. In Proceedings of
IEEE open & big data conference (Vol. 13, p. 13).
Everson, J., & Adler-Milstein, J. (2016). Engagement in hospital health information exchange is associated with
vendor marketplace dominance. Health Affairs, 35(7), 1286-1293.
Hasanain, R. A., Vallmuur, K., & Clark, M. (2015). Electronic medical record systems in Saudi Arabia:
knowledge and preferences of healthcare professionals. Journal of Health Informatics in Developing
Countries, 9(1).
Henry, J., Pylypchuk, Y., Searcy, T., & Patel, V. (2016). Adoption of electronic health record systems among US
non-federal acute care hospitals: 2008–2015. ONC data brief, 35, 1-9.
Johnson, R. J. (2016). A comprehensive review of an electronic health record system soon to assume market
ascendancy: EPIC. J Healthc Commun, 1(4), 36.
Lister, C., Payne, H., Hanson, C. L., Barnes, M. D., Davis, S. F., & Manwaring, T. (2017). The public health
innovation model: merging private sector processes with public health strengths. Frontiers in public health, 5,
192.
Liu, X., Liu, Q., Peng, T., & Wu, J. (2017). Dynamic access policy in cloud-based personal health record (PHR)
systems. Information Sciences, 379, 62-81.
Premarathne, U., Abuadbba, A., Alabdulatif, A., Khalil, I., Tari, Z., Zomaya, A., & Buyya, R. (2016). Hybrid
cryptographic access control for cloud-based EHR systems. IEEE Cloud Computing, 3(4), 58-64.
Tan, Y., Elliott, R. A., Richardson, B., Tanner, F. E., & Dorevitch, M. I. (2018). An audit of the accuracy of
medication information in electronic medical discharge summaries linked to an electronic prescribing
system. Health Information Management Journal, 47(3), 125-131.
Wager, K. A., Lee, F. W., & Glaser, J. P. (2017). Health care information systems: a practical approach for
health care management. John Wiley & Sons.
Wang, Y., Wang, L., Rastegar-Mojarad, M., Moon, S., Shen, F., Afzal, N., ... & Liu, H. (2018). Clinical information
extraction applications: a literature review. Journal of biomedical informatics, 77, 34-49.
Charles, D., Gabriel, M., & Searcy, T. (2015). Adoption of electronic health record systems among US non-
federal acute care hospitals: 2008-2014. ONC data brief, 23(4).
Ekblaw, A., Azaria, A., Halamka, J. D., & Lippman, A. (2016, August). A Case Study for Blockchain in
Healthcare:“MedRec” prototype for electronic health records and medical research data. In Proceedings of
IEEE open & big data conference (Vol. 13, p. 13).
Everson, J., & Adler-Milstein, J. (2016). Engagement in hospital health information exchange is associated with
vendor marketplace dominance. Health Affairs, 35(7), 1286-1293.
Hasanain, R. A., Vallmuur, K., & Clark, M. (2015). Electronic medical record systems in Saudi Arabia:
knowledge and preferences of healthcare professionals. Journal of Health Informatics in Developing
Countries, 9(1).
Henry, J., Pylypchuk, Y., Searcy, T., & Patel, V. (2016). Adoption of electronic health record systems among US
non-federal acute care hospitals: 2008–2015. ONC data brief, 35, 1-9.
Johnson, R. J. (2016). A comprehensive review of an electronic health record system soon to assume market
ascendancy: EPIC. J Healthc Commun, 1(4), 36.
Lister, C., Payne, H., Hanson, C. L., Barnes, M. D., Davis, S. F., & Manwaring, T. (2017). The public health
innovation model: merging private sector processes with public health strengths. Frontiers in public health, 5,
192.
Liu, X., Liu, Q., Peng, T., & Wu, J. (2017). Dynamic access policy in cloud-based personal health record (PHR)
systems. Information Sciences, 379, 62-81.
Premarathne, U., Abuadbba, A., Alabdulatif, A., Khalil, I., Tari, Z., Zomaya, A., & Buyya, R. (2016). Hybrid
cryptographic access control for cloud-based EHR systems. IEEE Cloud Computing, 3(4), 58-64.
Tan, Y., Elliott, R. A., Richardson, B., Tanner, F. E., & Dorevitch, M. I. (2018). An audit of the accuracy of
medication information in electronic medical discharge summaries linked to an electronic prescribing
system. Health Information Management Journal, 47(3), 125-131.
Wager, K. A., Lee, F. W., & Glaser, J. P. (2017). Health care information systems: a practical approach for
health care management. John Wiley & Sons.
Wang, Y., Wang, L., Rastegar-Mojarad, M., Moon, S., Shen, F., Afzal, N., ... & Liu, H. (2018). Clinical information
extraction applications: a literature review. Journal of biomedical informatics, 77, 34-49.
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