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Running Head: QI Revising Electronic Med Administration 1
Quality Improvement Project at Clinton Hospital:
Revising Electronic Medication Administration Process
Telana Fairchild
University of Massachusetts Medical School- Worcester, MA
Graduate School of Nursing
QI Revising Electronic Med Administration 2
The principal goal of the Patient Protection and Affordable Care Act (PPACA) is to
improve American’s health outcomes and reduce cost of healthcare (Rosenbaum, 2011). The
PPACA gives support to the American Recovery and Reinvestment Act (ARRA) (Rosenbaum,
2011). A major component of the ARRA was the financial support of the Health Information
Technology for Economic and Clinical Health (HITECH) act (Brailer & Blumenthal, 2010).
Health information technology (HIT) has been exponentially growing and expanding since the
HITECH act was passed into law in 2009 (Brailer & Blumenthal, 2010). Constructing and
intensifying the electronic health record (EHR) systems has had a significant impact on
improving quality and safety of patient care (Gabriel, Jones, Samy, & King, 2014).
At Clinton hospital, they are enduring the transition of converting to the EHR system. As
a member of the UMass Memorial Health Care (UMMHC) system, Clinton hospital has
adopted the Sorian EHR system (UMass Memorial Health Care [UMMHC], 2014a). UMMHC
began implementation of the EHR at their large tertiary academic medical center, UMass
Memorial Medical Center (UMMMC), in August 2014, before spreading to their local satellite
hospitals (UMMHC, 2014b). Clinton hospital, a 41 bed community hospital, began
implementation in November 2014 (UMMHC, 2014a). Clinton hospital discovered when
developing Sorian EHR, UMMHC used UMMMC’s policies and procedures making
translation to their community hospital a challenge (T. Tronerud, personal communication,
February 25, 2015). Adamantly, the CEO at Clinton was concerned about the ability to
disseminate appropriate policy and procedures for incumbent and new employees along with
the adaptation to the new EHR system (P. Seymour-Route, personal communication, January
21, 2015). In addition, there have been multiple senior personnel changes at Clinton hospital
further complicating the transition to their new EHR (P. Seymour-Route, personal
QI Revising Electronic Med Administration 3
communication, January 21, 2015). Clinton hospital strives to consistently provide patient
centered care, thus the administration is concerned for the well-being of their patients and staff
during these transitions (UMMHC, 2014a). Therefore, the CEO at Clinton hospital asked the
Graduate School of Nursing (GSN) at University of Massachusetts Medical School (UMMS)
for assistance with disseminating appropriate policy and procedures and revising training for
the EHR system.
The GSN began execution on this request by comparing and contrasting the policies and
procedures for the two hospitals, as well as, analyzing the feasibility of the training for the
EHR system. Rachel Diamondstone, a GSN student, concluded the hospitals had differences
in policies and procedures and the training modules were likely not sufficient and confusing for
the staff at Clinton (personal communication, Janurary 28, 2015). Now informed, the GSN
Doctoral Nursing Practice (DNP) student began focusing on the specific issues related to
electronic medication administration (MAK) within their EHR at Clinton.
As part of the integrative practice experience, the DNP student will lead a quality
improvement project for MAK education and standardization of the verification process to
improve the safety of patients at Clinton Hospital. The competency essentials for the DNP
student distinguish requisite skills and knowledge useful to assist in quality improvement
projects. Understanding of organizational and systems leadership for quality improvement and
systems thinking allows the DNP student to translate research into practice, subsequently
improving nursing process and patient outcomes (American Association of Colleges of
Nursing [AACN], 2006). Information system and patient care technology is included for the
DNP’s education, contributing to the DNP student’s knowledge and ability to help Clinton with
their EHR system to improve the outcomes of patients (AACN, 2006). In addition, the DNP
QI Revising Electronic Med Administration 4
student has effective leadership skills that will facilitate collaboration among an
interprofessional team and oppress any impediments to an interprofessional culture (AACN,
2006). At Clinton, an interprofessional team including nursing, pharmacy, and administration
was created to inform and assist the GSN student and facility with this quality improvement
project. The DNP student became the leader of the project after establishing the core issues
and priorities for Clinton hospital. Once the interprofessional team had corroborated specific
aim and goals for this quality improvement project, the DNP student began a literature review.
A literature search in PubMed, Ovid, and GoogleScholar with search terms including
electronic health record, electronic medical record, implementation science, and hospital
implementation of electronic medication administration yielded over one hundred thousand
articles. Articles were narrowed down with limits specific to this improvement project, within
the last five years, and in English language. Articles were further reduced after eliminating
duplications and those not relevant to search based on abstract or title of the article. The
remaining twenty-six articles were appraised for strength of the study and information
pertaining to implementation of EHR in a hospital. Twelve articles were kept for their
relevance and strength of evidence; these articles were used to evaluate the evidence based
practice for implementing EHR in an acute care setting.
According to Fritz and colleagues, implementation of an EHR takes a holistic approach
and to be successful there are core components organizations must consider before beginning
the process (2015). These principal elements are the functionality of the EHR system, the
organizations structure and support for implementation, and the technical infrastructure for
new technology (Fritz, Tilahun, & Dugas, 2015). When an organization has collaboration with
QI Revising Electronic Med Administration 5
large corporations, they are more likely to overcome challenges due to more resources and
support staff (Gabriel, Jones, Samy, & King, 2014). Also, organizations should ensure policies
and procedures are in place prior to implementation (Maust, 2012).
Correspondingly to these organizational structures the human factor is essential to the
success of implementing a new EHR system (Colligan, Potts, Finn, & Sinkin, 2015). There is
a significant cognitive impact on the staff during the first two weeks of implementation of a
new EHR system. Increase in cognitive workload on staff could negatively impact the
outcome and safety of patients. Development of a technique to evaluate who needs additional
support and consider methods to reduce cognitive workload during implementation of EHR
would overcome negative impacts (Colligan, Potts, Finn, & Sinkin, 2015).
Additional, factors like attitudes about implementation of EHR can negatively impact
adaptation and become a barrier to successfully executing new technology (Turner, 2010). A
case study of EHR implementation in a mental health hospital discusses the culture and
attitudes of the staff pre and post implementation are valuable. These researchers suggests it is
important to involve the core users in the decisions about the EHR rather than forcing a system
upon them (Takian, Sheikh, & Barber, 2012). One of the top four national barriers to EHR
implantation is the discernment it will decrease workflow. Similarly in Massachusetts, one of
the top three barriers was the concern for loss of productivity. However, Turner suggests the
solution to overcoming this barrier is focusing on computer literacy. First, by having a method
to assess individual literacy and then, stratify teaching methods based on targeted literacy gaps
(Turner, 2010).
QI Revising Electronic Med Administration 6
Many articles discuss methods and modules to improve the training and education of staff
for implementation of new EHR systems. One case report from the Midwest at a critical
access hospital explained having a method of evaluating employees’ knowledge after training
but before “go-live” would be valuable (Maust, 2012). An additional suggestion from Maust is
to develop competencies and criteria to use for new orientation and to keep incumbent staff
using the system adequately (2012). Another case report about implementation of EHR in a
large ambulatory setting on the East coast proved to have valuable information on training
based on feedback they received from their staff (Bornstein, 2012). Majority of staff agreed
training is more beneficial in the live environment; therefore, having “super-users” available is
better than classroom training. A case study of EHR implementation in a mental health
hospital agrees live environment teaching is the users preferred method of training (Takian,
Sheikh, & Barber, 2012). More valuable lessons about training for EHR implementation are
using web-based pre-training modules prior to classroom sessions and training workflows as
opposed to training functionality of the system (Bornstein, 2012).
A training model for new staff orientation was developed by a team at a regional hospital
in the mid-west (Stromberg, 2011). They used feedback from previously trained staff to
modify and develop an improved training module for their EHR system. Key concepts to their
model included: continually evaluate training and usability of EHR, match information to
specific roles, use real-life scenarios, provide break-out sessions between training, and allow
elective review training sessions as needed (Stromberg, 2011).
It is important to have successful implementation of an EHR to avoid staff workarounds
or refusal to use program (Schoville, & Titler, 2015). These pitfalls could lead to patient safety
QI Revising Electronic Med Administration 7
concerns. So, theoretical frameworks from implantation science and technology adaptation
models were used to create a new Integrated Technology Implementation Model (ITIM). ITIM
focuses on organizational and individual adaptation with emphases on the end users feasibility
of the system. The goal ITIM is to better understand adaptation of technology in healthcare so
patient’s safety and end user satisfaction is achieved (Schoville, & Titler, 2015).
Articles alluded to quality and safety concerns that are likely to occur during the
implementation of a new EHR. The Yorkshire Contributory Factors Framework, developed by
Lawton and colleagues, enables a systematic approach of reviewing safety and quality
concerns for patients in hospitals (2012). Outlined in the framework are organizational factors,
policies and procedures, training and education, and central support of structure are all
concerns at Clinton hospital during the implementation of the EHR (Lawton, et al., 2012). As
discussed, the EHR was developed using a different organization’s policies and procedures.
Now, Clinton is struggling with revising, approving and distributing the new policies and
procedures for their EHR. Many of these policies and procedures have been revised but
neither approved nor distributed due to the changes in senior management (T. Tronerud,
personal communication, March 11, 2015). Training and education is another interest for
safety and quality, as Clinton doesn’t have personnel responsible for educating staff (Lawton,
et al., 2012). The responsibility is then given to a staff nurse and pharmacist who were left
ensuring the continuing education and training was completed for the EHR and new policies
and procedures (K. Cousins & T. Tronerud, personal communication, March 11, 2015). The
lack of having an educator and the needed staff for implementation of information technology
is one more organizational factor that could lead to patient safety and quality complications
(Lawton, et al., 2012). Just as the ITIM suggest need for the technology support is essential to
QI Revising Electronic Med Administration 8
successful implementation; however, Clinton doesn’t have a resource accountable for ensuring
the support for new information technology (Schoville, & Titler, 2015 & T.Tronerud, personal
communication, March 11, 2015).
According to the Yorkshire Contributory Factors Framework, the local working
conditions are more likely to cause patient safety and quality issues, than the organizational
factors (Lawton, et al., 2012). Senior management changes at Clinton have created struggles
with supervision, leadership, and management of staff. At Clinton, there is a new “acting”
CNO from outside the organization, many units without a dedicated manager, and lack of
nursing and information technology leaders (P. Seymour-Route, personal communication,
January 21, 2015). In addition, Clinton currently has contracted hospitalist and pharmacist
which are difficult to hold to hospital standards, training, and management (T.Tronerud,
personal communication, March 11, 2015). The ITIM agrees leadership and key roles are
necessary to successful adopt new technology (Schoville, & Titler, 2015).
Furthermore, these contracted employees affect the team work which is one of the
situational factors of the Yorkshire Contributory Factors Framework. The situational factors
are in closest proximity to active failures according to the framework and are the most likely to
lead to patient safety and quality errors (Lawton, et al., 2012). In addition, there are individual
factors of difficult behavior and attitudes of the staff at Clinton. The end users are equally
important in the ITIM for successful implementation of a new EHR (Schoville, & Titler,
2015). Perhaps, the previous discussed organizational issues could be liable for some of these
observed attitudes and behaviors. Obviously, there are many reasons for improvement of the
EHR process and accompanying factors at Clinton hospital.
QI Revising Electronic Med Administration 9
The Kirkpatrick Model will be used to guide and determine the success of the
improvement project, the training modules, and the revised process for standardizing
verifications. The Kirkpatrick Model was developed in 1950’s to analyze and evaluate
training based on four categories: reaction, learning, behavior, and results. However, the
Kirkpatrick Foundation modified this model and added an additional level, return on
investment and now the model is widely used beyond training evaluation (Kirkpatrick Partners,
LLC., 2009). Each of these categories evaluates the project, training, and process at different
levels including the learners’ perception, knowledge, ability to apply learned skills, overall
success of the project, and return on investment (Kirkpatrick Partners, LLC., 2015). For every
category there will be measureable metrics for the project, modules and process.
Shortly after implementation, Teresa Tronerud, a pharmacist, began collecting data in log
form using Microsoft Word. Each day since implementation in November she has manually
entered verification issues (T.Tronerud, personal communication, March 16, 2015). In order to
make this data manageable and measureable, categories were defined and totals were given for
each category. Now these logs could be transformed into a Pareto chart so priority can be given
to top issues (Provost, Lloyd P; Murray, Sandra (2011). These logs were also counted for
number of interventions each day and average totals were noted. Goals for this project were to
reduce the number of issues per day and standardized the verification process to avoid creating
these known issues.
Training and workflows were developed to aid in improving and standardizing the
verification process. Surveys will be given to the staff pre and post intervention to determine
their perception about the project and training. For each instructional objective, a test patient
QI Revising Electronic Med Administration 10
case will be utilized to demonstrate the knowledge and skills of the staff after receiving the
training and education on workflows. After each instructional training, the modules and
workflows will be updated based on feedback to improve the success of the education. To
ensure future success there will be annual competencies and training required using these
modules.
Overall reduction in the volume of interventions created per day and staff competency
and satisfaction will determine the success of the quality improvement project. If reduction in
intervention volume is accomplished and staff satisfaction is achieved, then return on investment
will be established. Since the end result is to improve patient safety, the interprofessional team
will need to address this concern with administration and determine their method of measuring
patient safety data. As patient safety data may be sensitive to the organization.
In conclusion, Clinton hospital aspires to create a patient safe environment through use of
education, research, and improvements (UMMHC, 2014a). The CEO and administration
promptly addressed valid concerns related to new EHR system and patient satisfaction and
safety. After meeting with an interdisciplinary team and reviewing data, priorities and goals of
the improvement project were determined. Best evidence based practice determines essential
process to transition acute care settings to use of EHR system for success. These core concepts
include use of training in a “live environment”, focused on end users and workflows, as well as,
making sure policies and procedures and support for the new structure are in place. The DNP
student has developed interventions based on this best evidence based practice and formatted
new training modules to Clinton’s needs. There will be ongoing assessment and evaluations
using measurable data to revise and determine the success of each portion of the project. The
QI Revising Electronic Med Administration 11
long-term goal is to have a process in place for these changes to be sustainable. Sustainability
will be created by including the staff in the process and annual based competencies for the staff.
Even if their EHR system changes in the next five years, involving the staff in the process will
leave them with the knowledge and skills to create successful transitions. Also, since they are
associated with a large corporation, UMMMC, then using their resources to help support Clinton
is another vital component to ensuring success. The partnership with the GSN at UMMS will
also offer Clinton future support in years to come to continue to improve the quality and safety
of their care.
QI Revising Electronic Med Administration 12
References:
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education for advanced nursing practice. Retrieved from
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challenges, and benefits experienced in transitioning. Applied Clinical Informatics, 3(3),
318-325. doi:10.4338/ACI-2012-03-RA-0006
Brailer, D.J. & Blumenthal, D. (2010). Guiding the health information technology agenda.
interviewed by david J. brailer. Health Affairs (Project Hope), 29(4), 586-595.
doi:10.1377/hlthaff.2010.0274
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5056(15)00063-5
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