MHA-FP5016, Doeden, Beth Assessement 3.edited
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Stakeholder Communication in Health Information Systems
Beth Doeden
Capella University
MHA-FPX5016 Introduction to Health Information Systems
Oct 3, 2023
2
Introduction
Having an EHR that works for and with all within a healthcare organization is crucial.
After an in-depth evaluation of our current EHR and other software used today, it has been
determined that replacing our systems with an EHR that will reach all functions within our
healthcare organization is essential.
We have prepared a summary of our findings and
recommendations for a new, fully functional EHR.
Stakeholders
Adopting a new EHR has historically been challenging in most healthcare
organizations, so we need to have the right stakeholders involved in the process.
The diverse
backgrounds of all stakeholders are fundamental to capturing the essence of the organization as a
whole (Olayiwola, 2016).
The stakeholders are also essential to promote the EHR and support
the functions and processes that accompany the implementation and ongoing support.
Below is a stakeholder matrix describing the stakeholders, their backgrounds, and vested
interests.
3
Stakeholder Matrix Template
Key
Stakehold
er:
Position
and
Departme
nt
Key Roles
with in HIM
System
Report
s to?
Or
Manage
s
whom?
Systems,
Software,
or
Technolog
y used.
Impacted by
Recommenda
tion
Role in
Successful
Implementatio
n
Value
Statement
Executive
Leadershi
p:
CEO
Responsible
for overall
function of
the hospital
and
successes
for both
patient
outcomes,
reporting,
and
financials.
The
board of
director
s.
EHR,
PACS, lab
system,
pharmacy.
Would like to
implement an
EHR that will
be able to
accommodate
all aspects of
healthcare and
simplify and
improve
processes.
An ultimate
approvers/deci
sion maker in
choosing the
correct EHR
after weighing
all options.
Better
reporting,
patient
experience,
financial
improvemen
t, and
improved
clinician
workflow.
Executive
Leadershi
p:
COO
Responsible
for capital
improvemen
ts and
hospital
developmen
t.
CEO
EHR,
census
manageme
nt, security
and supply
systems.
Would like to
save in cost of
overall
operations with
the new EHR
and not have
IT cost
overshadow
other needs.
Reduction in
overall
operational
costs.
Merge all
systems to
reduce cost
of IT
improvemen
ts and begin
to move
forward with
new
operational
capital
expenditure
s.
Executive
Leadershi
p:
CMO
Provider
productivity
and
increase in
patient
services
and
provider
workflow.
CEO
EHR and
ancillary
software.
Increased
provider
productivity,
increased
revenue,
patient safety,
provider
satisfaction.
Providers
meeting
production and
revenue goals.
A better
EHR will
reduce the
systems
used,
saving time,
energy, and
resources
allowing for
providers to
provide
more and
better
patient care
while
increasing
revenue.
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Key
Stakehold
er:
Position
and
Departme
nt
Key Roles
with in HIM
System
Report
s to?
Or
Manage
s
whom?
Systems,
Software,
or
Technolog
y used.
Impacted by
Recommenda
tion
Role in
Successful
Implementatio
n
Value
Statement
Executive
Leadershi
p:
Chief
Nursing
Officer
Patient
access,
reduction of
systems,
patient
nurse
workflow.
CEO
All systems.
Reduction of
systems
improving
nurse
workflow,
patient care,
patient safety,
ease of
workflow, and
patient
communication
through the
portal.
Nurses can
work smoothly,
effectively,
thoroughly,
and safely
within their
work.
Patients
are better
informed.
Will have
improved
workflow
providing
safer and
efficient
care.
Will
also have
better
patient
interaction
and
education.
Reduction
of adverse
events.
Pharmacy
:
Director
of
pharmacy
Pharmacy
records,
medication,
and
prescribing
compliance.
Chief of
Diagnos
tic
Service
s
EHR and
pharmacy
formulary
system.
Will help with
compliance,
seamless
formulary
updates,
improved
charging.
Reduction of
medication
ordering
errors,
reduction in
billing errors,
quicker
turnaround for
admissions.
Will reduce
errors,
improve
billing, have
updated
formularies
readily
available to
providers,
and quicker
turnaround
times for
admissions.
Clinical
and
Support
Staff:
Providers
, Nurses,
Support,
Ancillary
Patient
care, EHR
documentati
on, decision
support,
patient
safety,
workflow
developmen
t.
Director
s, CMO,
CNO,
Support
services
director
s.
EHR and
other
interfacing
software
used for
day-to-day
documentati
on, ordering
and
decision
making.
All day-to-day
functions in
patient care
regarding
patient care.
Input for
workflow
design and
development.
Successfully
able to
properly
execute
functions
within the
EHR.
Ease of use
within EHR,
safer patient
care,
exceptional
patient care,
complete
documentati
on, and
ordering.
Happy and
supportive
staff of the
new EHR.
5
Financial Assessment
When reviewing salaries on multiple hiring platforms, on average, an EHR analyst with
benefits will cost the organization approximately $91,000 per analyst annually (Salary.com, n.d.).
According to Health Services Research, in 2012, 3.1 billion was paid to 2,000 hospitals and
41,000 providers in incentive payments (Appari,2013).
After 2015, penalties would be applied
to those who need to meet meaningful use.
In 2017, an additional penalty will occur, which will
reduce Medicare reimbursement if meaningful use is not met.
Taking into consideration
incentives and penalties incorporated with meaningful use, it is essential to invest in a team that
can work to ensure our success.
Otherwise, we will stand to lose millions upon millions of
dollars.
Aside from meaningful use incentives and penalties, the EHR's potential for process,
decision support, and workflow improvements will help reduce overall costs to the healthcare
organization (Bar-Dayan, 2013).
Efficient provider documentation, ordering, and electronic
consultations will reduce the manpower needed in transcription, billing, and referrals, saving the
organization potentially hundreds of thousands per year (Bar-Dayan, 2013).
Implementation consideration will also need to be considered.
There are many roles to
fill in this process, including super users, project management, training, and technical support,
which will be fulfilled by additional overtime hours or hiring additional staff; both will have
costs.
On average, a large hospital will require around 110-120 super users, and smaller
hospitals will require about 70 super users (Bullard, 2016).
Training of all employees will also
need to be considered.
Super users can be cross-trained into trainers and potential IT informatics
professionals permanent placement.
Labor expense is an unavoidable expense but essential for
overall success.
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Implementation Timeline
The following is a timeline and order of the implementation of the new EHR (Galaxy,
n.d.)
Task
Description
Length of Time
Define Scope
Comprise a list of all areas
involved and expectations.
6 months
Establish KPIs of Project
Set goals and what constitutes
success.
1 month
Budget
Determine cost and fund
allocation.
1 month
Operational Engagement
Stakeholder identification and
expectations.
1 month
Communication
Organizational
communication which will be
ongoing.
12 months
Staffing
Complete staffing plan for
training, IT support, super
user support and future
ongoing support.
6 months
Workflow Identification and
planning
Work with all areas
understanding and adaptation
12 months
System Development
Building, configuring, and
testing EHR which will be
ongoing.
12 months
Training – Super Users
Training all super users
2 months
Training – End Users
Training all staff
6 months
Go-Live
Cutover, release EHR,
support, track and resolve go-
2 week – forever.
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live issues.
Project Review
Review successes,
improvements, outstanding
and resolved issues, future
state planning.
1-2 weeks
Post Go-Live Support
Permanent ongoing build,
testing, training and support.
Indefinite
Recommendations
After meeting with stakeholders identified for this assessment, it is apparent that we have
many different systems to perform different functions within our organization.
Many of them
have limited or no interface to our current EHR, which can result in patient errors, affect patient
safety, excessive wait times for vital information, penalties, increased costs, and dissatisfaction
among staff and patients (Bowman,2013).
By implementing a new EHR that supports all areas of the organization, we can improve
clinical workflow, patient outcomes, productivity, and positive financial impact.
Providers will
be able to increase their scope, complexity of documentation, and productivity while receiving
incentives by meeting meaningful use measures consistently and adequately (Ohno-Machado,
2014).
We can create alerts and decision support to improve patient outcomes significantly.
Meaningful use data will be easily accessible and reportable to meet our objectives.
Nursing
productivity can significantly improve by reducing redundancy, wayfinding through multiple
systems, reduced documentation, and increased productivity, giving more time to bedside care
(Lindsay, 2022).
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EHRs were initially created to help with administrative tasks focusing on billing (Shickel,
2018).
Our current EHR needs to fulfill its original function.
However, with a fully functional
EHR, our billing processes will significantly improve with all areas feeding into the same data
repository, giving billing the information and accuracy needed to perform their functions,
reducing denials and, potentially, manpower.
However, there have been shortcomings with EHR implementations that have had
detrimental effects on organizations, and we will need to remain vigilant to avoid these errors
and prevent unforeseen blunders.
Poor design and improper use can jeopardize the system's
integrity, leading to penalties, legal implications, loss of revenue, patient harm, and even death
(Bowman, 2013).
It will also leave the staff with a sense of distrust for the EHR.
That is why
data integrity and key stakeholders' involvement are essential to help prevent and identify errors.
The stakeholders need to understand their roles in acquiring information, research, process
development, and support and the importance of this work (Yip, 2014).
With this dedication and
support, implementations result in better employee engagement, financial detriment, and patient
harm.
Conclusion
After reviewing my report assessing our current state and recommendations, the
importance of having a fully functioning and reliable EHR is evident.
Our current is losing
organization revenue, contributing to employee and patient dissatisfaction, and will result in
penalties that will cost our organization due to failing to meet meaningful use.
It is in our best
interest financially, operationally, and for patient care.
9
References:
Appari, A., Eric Johnson, M., & Anthony, D. L. (2013).
Meaningful use of electronic health
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record systems and process quality of care: evidence from a panel data analysis of U.S.
acute-care hospitals.
Health services research
,
48
(2 Pt 1), 354–375.
https://doi.org/10.1111/j.1475-6773.2012.01448.x
Bowman S. (2013).
Impact of electronic health record systems on information integrity:
quality and safety implications.
Perspectives in health information
management
,
10
(Fall), 1c.
Bullard, K. L. (2016). Cost-Effective Staffing for an EHR Implementation.
Nursing Economics,
34
(2), 72-76.
http://library.capella.edu/login?qurl=https%3A%2F%2Fwww.proquest.com
%2Fscholarly-journals%2Fcost-effective-staffing-ehr-implementation%2Fdocview
%2F1783691668%2Fse-2%3Faccountid%3D27965
Epic User Web.
(n.d.).
Galaxy.epic.com.
https://galaxy.epic.com/?#Browse/page=1
Ohno-Machado L. (2014). Electronic health record systems: risks and benefits.
Journal of the
American Medical Informatics Association : JAMIA
,
21
(e1), e1.
https://doi.org/10.1136/amiajnl-2014-002635
Olayiwola, J. N., Rubin, A., Slomoff, T., Woldeyesus, T., & Willard-Grace, R. (2016).
Strategies
for Primary Care Stakeholders to Improve Electronic Health Records (EHRs).
The
Journal of the American Board of Family Medicine
,
29
(1), 126–134.
https://doi.org/10.3122/jabfm.2016.01.150212
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Lindsay, M. R., & Lytle, K. (2022).
Implementing Best Practices to Redesign Workflow and
Optimize Nursing Documentation in the Electronic Health Record.
Applied clinical
informatics
,
13
(3), 711–719.
https://doi.org/10.1055/a-1868-6431
Shickel, B., Tighe, P. J., Bihorac, A., & Rashidi, P. (2018).
Deep EHR: A Survey of Recent
Advances in Deep Learning Techniques for Electronic Health Record (EHR) Analysis.
IEEE journal of biomedical and health informatics
,
22
(5), 1589–1604.
https://doi.org/10.1109/JBHI.2017.2767063
Yip, M. H., Phaal, R., & Probert, D. R. (2014). Stakeholder Engagement in Early Stage Product
Service System Development for Healthcare Informatics: EMJ.
Engineering
Management Journal, 26
(3), 52-62.
http://library.capella.edu/login?qurl=https%3A%2F
%2Fwww.proquest.com%2Fscholarly-journals%2Fstakeholder-engagement-early-stage-
product%2Fdocview%2F1561957611%2Fse-2%3Faccountid%3D27965