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Reflection Part 6
CSBI Course 6: Relationship, Change
Management and Consulting skills
● Leading Change
● Finding Opportunity
● Communicating Within the Industry
● Proving Value
Leading Change
Consultants leverage knowledge,expertise and
communications competency to support
decision-makers in considering data and
information in ways that reveal robust
opportunities for
organizations. Some of these opportunities have
not previously been envisioned at an
operations level because meaningful information
has not been available or presented.
Exercising Influence and Stimulating Action
A well-considered and integrated use of
emotional intelligence, a variety of leadership
styles and
appropriate use of power will be valuable to
the BI/Analytics consultants as a change agent
in
times of turbulence. We will describe each
of these attributes and then discuss how their
integrated use creates strong leverage for
influence.
Much has been written over the past fifteen
years about the success of those who work
with
emotional intelligence(EI). High-EI people can
understand and read, in real time, their own
emotions while simultaneously understanding those
of others and subsequently advancing their
positions by interacting with greater skill and
influence than others. This capability is
present
even in the heat of the moment, when
most individuals would turn to more base-level
interpretations of and reactions to themselves,
others and a situation.
Daniel Goleman, a well-known author on EI,
finds that leadership performance is affected by
one’s ability to work within the two EI
competency sets- personal and social.
Specifically, one’s
ability to engage certain personal and social
competencies yields stronger leadership
performance and subsequent results as a
change agent.
Self Awareness
● Emotional awareness
● Accurate self-assessment
● Self confidence
Self Management
● Self control
● Trustworthiness
● Conscientiousness
● Adaptability
● Innovation
Motivation
● Achievement drive
● Commitment
● Initiative
● Optimism
Empathy
● Understand others
● Develop others
● Service orientation
● Leveraging diversity
● Political awareness
Social Skills
● Influence
● Communication
● Conflict management
● Leadership
● Change catalyst
● Building bonds
● Collaboration and cooperation
● Team capabilities
Exercise Influence and Stimulating Action
It can be surmised that building bonds
would be helpful in the complex healthcare
environment.
A key in building bonds is to develop
extensive informal networks where mutually
beneficial
relationships are carefully cultivated. The
networks are chosen based on expertise that
each
member brings to the table and willingness
to extend knowledge or expertise when needed.
Innovation is not seen as a necessary change
agent competency because the change agent
helps others unlock their ideas and work
through them.
Leadership styles and competencies
Goleman asserts that one can develop higher
EI competency through practice. Self tests are
available to see where one stands compared
to others. EI can be practiced by learning
to use
the six leadership styles listed. Practice of
each style sharpens one’s EI in specific
competencies. They should all be used at
points where such an effect is needed. Use
in
combination is appropriate.
The Power Bases
The social skill influence is an EI
competency that leaders leverage to get things
accomplished.
Influence is grounded in the power individuals
exercise, according to Kenneth W. Thomas,
PhD.
Thomas presents six power types along with
the influence effect each type produces.
The key aim for the BI/Analytics consultant
related to influence is to build commitment
to an
idea, an approach, a KPI or a new way
of looking at or making decisions.
Note the commitment effect is related to
personal power bases expertise and information,
which
the BI/Analytics consultant should have or can
build in abundance. Also needed is compliance
from those outside one’s direct control to
successfully conduct experiments and launch new
analytic approaches. Goodwill should also be
used to build commitment. Successful use of
these power bases relies on communication.
6 Power bases are:
1. Authority-one’s formal right to direct others
in certain matters and others’ obligation to
follow those directions.
2. Reward-one’s control over things others
desire.
3. Discipline-One’s formal right to punish others.
4. Information-Facts or reasoning that one
possesses and is able to share convincingly
with team members.
5. Expertise-One’s superior judgment or knowledge
in a specific area.
6. Goodwill-Feelings of support and respect that
one has built with others.
The influence effect that each power base
produces is presented here. Some sources of
power
base production are presented here. Some
sources of power are positional, while others
are
personal. Positional power bases often are not
available to the BI/Analytics consultant, as they
require one to be in position of direct
authority over another. Positional power bases
are not
needed to build commitment. However, ensuring
compliance is necessary, along with
occasionally overcoming resistance, and these do
not come from commitment alone.
Depending on the situation, one may be
available to wield positional power when acting
in
project management capacity, though this is
difficult. Whennot in a positional power
position,
one can exercise personal power to reward
individuals that fosters compliance. Mechanisms
need to be in place to make this happen.
It is essential to have the ability to use
all power types
as appropriate to spur progress.
Source of Power Power Base Influence Effect
Position Authority Compliance
Discipline Resistance
Reward Compliance
Personal Information Commitment
Expertise Commitment
Goodwill Commitment
Fostering Commitment
Now one has a tool set for action.
However, conscious use of the tools must be
engaged. The
stakeholder provides insights into the interests
and needs of individuals involved at all
organizational levels. From this analysis, one
should have a keen appreciation of how to
engage EI social competencies. This strengthens
political awareness. Action steps, if
developed carefully in the stakeholder process,
can address political issues and act as power
mechanisms of reward and goodwill to foster
compliance and commitment. For example, set
up the plan for someone who wants a say
and participation, so they can participate and
talk.
They will feel rewarded. Enrolling them in
the process through participation because you
can(exercise goodwill) engage team capabilities.
In turn, those drawn in will now exhibit
goodwill
to others as it has been extended to them,
which leads to commitment.
Other Tools-Sponsorship
One of the other tools to engage in the
process is sponsorship. Sponsorship can be
defined as
fostering transparency and accountability in the
group process, again fitting with necessary EI
competencies of political awareness, initiative
and influence. Although one may not be
engaged
in a formal project management (PM) situation,
the PM tool of sponsorship ensures that
enough
organizational executive influence is available to
exert pressure against possible resistance.
Others Tools-Communication
Communication is another tool. It’s important
to understand one’s own communication style
and
preferences and be sensitive to the styles
and preferences of others. A number of self-
scoring
tools are available that can be used to
master interpersonal communication skills. Some
of
these are:
● DiSC profile-this tool illuminates one’s
communication preferences(dominant, influencer,
steadiness & conscientiousness). When these
preferences are known, one can work to
understand and interact with others in the
context of their preferred styles of
communication.
● Myers Briggs Temperament Index: This tool
helps individuals and groups understand
the basic differences in the ways they prefer
to use their perception and judgment.
● Kolbe Conative Index-this tool offers a
measure of how people are hardwired to take
action in one of four ways(fact finder,
follow through, quick start or implementer).
Exercising influence and Stimulating Action
Whether using these or other tools, it’s
helpful to understand communications preferences
and
styles in oneself and in team members. The
aim is to carefully build a team that is
balanced in
communication styles to achieve diversity of
thought and action. Then continue to hone
these
skills across the course of the work.
Is it this simple? No. Conscious action is
required along with careful and forward-looking
networking and preparation. There is no
substitute. There are those who might eschew
this
process as contrived and surreptitious. However,
goodwill-the most powerful of the power bases
due to the broad spectrum of activities and
methods. Goodwill is easily dissipated where
transparency and open action are not in
force.
Finding Opportunity
Focus on performance
Using the approaches discussed earlier for
working across the organization at all levels,
one
can uncover areas and issues of importance
that need to be addressed. Here the
organization
can see if attainment of the benchmark is
possible and what it might take to achieve
it based on
the what if findings. And the organization
can see what is possible today. So decision-
making
related to targets is in line with the 5
key power decision attributes-more targeted,
replicable,
expeditious and lower in cost.
Are Policies and rules in Place?
Also revealed in this type of analysis is
whether the organization has the policies in
place, and
whether actual practice and compliance are in
line with these policies, to perform at desired
levels. As the predictive analytic
experimentation process requires ia set of rules
by which to
make predictions(this is how the organization
wants or should operate), the set of rules
by which
the organization actually operates becomes clear.
Then the what if questions always prompt
the questions: “So what are you doing
now?” Often it
has been found that significant issues with
compliance exist and, frequently enough, policies
and rules do not exist. They must be
built.
So experimentation reveals 2 things:
● The data needed(ADT, clinical, financial, etc
or process performance)
● The policies and rules by which the
predictions and prescriptions must be developed
and
implemented with any analytics.
Who is responsible?
As part of moving along this path, one
will have performed a stakeholder analysis.
This analysis
will have revealed another important area of
information: Who is involved in the chain of
events
that makes up the item in question? Who
is ultimately responsible? Who executes the
item on
a daily basis? For example, staffing on
nursing floors, collection decisions or how the
marker
for high 30-day readmit risk is actually
addressed. Or regarding outpatient demand
management activity in Primary Care- to
manage identified chronic healthcare users with
diabetes. After building a new very expensive
construct dashboard with very detailed metrics
as requested-does the operating areas use it?
Do the metrics move?
One can easily surmise the highly sensitive
situation that begins to present itself. The
capability
and willingness of operating managers at
several levels may be called into question.
This is the
reason for advance engagement of the
stakeholders analysis and plan, EI building
bonds and
networking and sponsorship tools, along with
involving the operating managers in the
experiment development process.
However, this uncovers the need for
sponsorship and in some situations where
distributed
decision-making is required, this need is
absolute. This a model to ensure the aims
planned are
actually executed down the line.
In particular, the sponsorship tool calls for
finding a sponsor at the highest level who
can hold
accountable all actors involved in the work.
The CFO cannot hold the COO or CNO
accountable, therefore the CEO must be the
sponsor. If this is not possible, then the
initiative
should not be engaged.
Case study
Consider this real case regarding outpatient
demand management activity in Primary Care.
The
initiative’s aim is to manage identified chronic
condition healthcare users having diabetes. After
building an expensive dashboard with detailed
metrics(as requested) to support operating
managers(those responsible for execution) to
address the issue, does the outpatient primary
care office and clinic facilities use it? Do
metrics move? The senior leadership team is
asking
questions to validate the use of the tool to
address the issue as the metrics are not
moving
appreciably.
Case Study-Answer
CEO-Correct. No. Not necessarily intuitive, yet
the initiative involves clinical staff(medical &
nursing) along with the support of
administrative staff. All of these positions stop
with the CEO.
It might be considered below the CEO’s
work, yet as in the chart presented, the
sponsor must
have the authority to mobilize action. In
this case the clinical teams and administrative
team
must become and remain mobilized.
Chief Admin Officer-Incorrect. This position has
no leverage over the CMO, when push comes
to shove in organizational politics.
CNO-Incorrect. The CNO is the usual suspect
for clinical accountability. However, what about
the medical team? What about the necessary
support of the clinical staff by administrative
team? The CNO has no leverage here.
VP of Primary Office Admin: Incorrect. This
individual has no authority or leverage over
clinical
execution.
CFO: Incorrect. This individual has no
authority or leverage over clinical execution.
VP of Finance: Incorrect. This individual has
no authority or leverage over clinical execution.
Director of BI/A: Incorrect. This individual
has created a tool according to specs but
does not
have authority or leverage over clinical
execution.
Communicating within the organization
The BI/A consultant must present the results
data effectively in a general sense. In
addition,
however, he or she must present results in
terms to which others in the organization
will relate.
The typical return on investment(ROI) findings
leave many cold. Often the first thought is
that
ROI means loss of jobs. This can easily
be the case in clinical areas, since labor is
largely the
only visible expense. ROI to many is based
on cost reduction only. To mitigate this
tendency, it
is critical to involve not only the unit
director or manager when starting with the
experiment
design process. Stakeholders, specifically staff
members involved in the process should
participate. It is helpful to have staff
members who are vocal about the need for
change
because they have an invaluable ground-level
viewpoint that should be taken into
consideration.
Communicating of Analytic Process and
Information
This complement of participants provides the
base of information about how things are
done to
engage the foundational discovery work needed
at the start of designing the experiment, such
as process flowcharting, value stream mapping
and policy/operating practice identification. At
the same time, the BI/Analytics consultant can
teach participants about the work being done
and
its meaning.
The real payoff of involving this larger
group threefold:
● An outcome will be defined in advance in
terms the stakeholders understand(negotiating
with key stakeholders and managing expectations)
● Policies and practices, whether they are
good, absent or lacking in performance, will
become transparent and can be appropriately
addressed
● The group will have a greater level of
understanding and analytics sophistication
An additional benefit of this process is the
advisory role one can develop with the team
over the
time of the working relationship. The
transparency of the process called for the
assistance of
analytics in developing solutions.
This process leverages EI competencies,
leadership styles and robustly leverages power
bases. It is also well known as part of
the Total Quality Management process, lean
processes
and similar implementations used over the last
20 years.
Proving Value
ROI
“Because everyone else is'' is, of course, not
a reasonable statement for winning approval.
The
question regularly asked is how does one
show ROI? Consider, first, that ROI means
many
things. Straight dollar costs or revenues, care
quality and process improvement cover the
major functional concerns.
Regarding costs, consider the following:
● First, look at performance against known
benchmarks. Organizations normally track a
number. Tracking against benchmarks is fraught
with disagreement as to
appropriateness and applicability, often depending
on who is speaking and how the
benchmark makes their area appear. Remember
that with cost being the predominant
indicator of performance, defending a position
often revolves around how “thethings
driving cost in our business look nothing
like the others in the benchmark cohort.”
And it
is best not to spend a great deal of time
arguing about this. The benchmark is not an
absolute, it is a relative position with all
other things being equal. Benchmarks provide
needed directional information( i.e., is the
organization on the right highway?).
For example, let’s look at the biggest
organizational expense, labor. Suppose one finds
labor cost related to revenues to be in
excess of benchmarks determined by a cohort
of
best-practice organizations, or even the
benchmark overall, by upwards of 10%. Are
there differences in a host of operating
conditions?
Yes, maybe. Do they account for a
difference of 10%? One may be a different
road
altogether. More importantly, one has a
tremendous opportunity for return even with a
few points improvement, as the dollar amounts
are so large. Careful simultaneous use
of analytics across all three types discussed(
descriptive, predictive & prescriptive) will
unlock this potential.
Similarly, related to supply expense, best-practice
organizations run these costs in the
very low 20% range. Calculate what these
mean for your organization in excess dollars
spent.
Quality and return
The relationship between clinical quality and
return is becoming obvious when one
considers the cost savings of fewer re-
hospitalizations, lower numbers of MRSA cases
and earlier detection of high blood pressure,
for example. These are not necessary soft
costs. The challenge will be for the
BI/Analytics consultant to set up straw-man
experiments using predictive models that look
at the possibilities in advance and obtain
agreement on the range of outcomes. Then
compare these to a cost table. Again, likely
the 3-year return will show clearly.
The question is, how does one monetize
some aspects of performance that need to be
considered, such as clinician coverage or
process redesign? Again, careful
experimentation is called for. As part of the
experiment, one will first need to flowchart,
measure the value and stream map the
processes involved, looking carefully at the
time
needed for performing tasks(resource consumption),
timing of tasks and the time
wasted between tasks. This gives a
comparison baseline to see if any clinical
changes(
such as length of stay), result from
processes of coverage change. And what
changes
are likely to be related to improvements in
healthcare user condition?
Working with clinical informaticists can lead
to much richer experimentation and
analysis, such as investigation of particular
clinical factors, interventions, processes,
outcomes, etc. related to operational aspects(
such as unit coverage, timing of shifts,
availability of supplies,etc.,).
If there are no clinical informaticists in your
organization to work with you will have to
develop some organizational capacity that
incorporates the thinking of this discipline into
your analytics work. Unfortunately, the path
for doing this is beyond the scope of this
course.
Measuring Performance Gains
If significance was found in fewer SL 1P
cases after opening the urgent care center,
one
adjusts processes to ensure more SL 1P
cases go to the urgent care center(which
could
be monetized and studied and might lead to
staffing the ED differently). The new ED
staffing might be focused on fewer RNs but
may require RNs with greater experience
and competency to handle the now higher
severity mix. The cost for RN labor could
be
measured, as it should be. And since one
performed value stream mapping prior to
making changes, it could be conducted again
to measure performance gains in task
time(cost). All of these would be looked at
in relation to ED practice information that is
available on throughout and outcome
improvements.
The key here is engaging advance planning
of experiments to include process and value
stream mapping, with input from staff,
conducting the experiment and analyzing
significance. Improvements of significance-those
that can be scaled up-can be taken to
the bank. Use of all analytic types ensures
that one’s experiment covers all the
questions discussed.
Conclusion

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Reflection Part 6 CSBI Course 6 Rel.docx

  • 1. Reflection Part 6 CSBI Course 6: Relationship, Change Management and Consulting skills ● Leading Change ● Finding Opportunity ● Communicating Within the Industry ● Proving Value Leading Change Consultants leverage knowledge,expertise and communications competency to support decision-makers in considering data and information in ways that reveal robust opportunities for organizations. Some of these opportunities have not previously been envisioned at an operations level because meaningful information has not been available or presented. Exercising Influence and Stimulating Action A well-considered and integrated use of emotional intelligence, a variety of leadership styles and appropriate use of power will be valuable to the BI/Analytics consultants as a change agent
  • 2. in times of turbulence. We will describe each of these attributes and then discuss how their integrated use creates strong leverage for influence. Much has been written over the past fifteen years about the success of those who work with emotional intelligence(EI). High-EI people can understand and read, in real time, their own emotions while simultaneously understanding those of others and subsequently advancing their positions by interacting with greater skill and influence than others. This capability is present even in the heat of the moment, when most individuals would turn to more base-level interpretations of and reactions to themselves, others and a situation. Daniel Goleman, a well-known author on EI, finds that leadership performance is affected by one’s ability to work within the two EI competency sets- personal and social. Specifically, one’s ability to engage certain personal and social competencies yields stronger leadership performance and subsequent results as a change agent.
  • 3. Self Awareness ● Emotional awareness ● Accurate self-assessment ● Self confidence Self Management ● Self control ● Trustworthiness ● Conscientiousness ● Adaptability ● Innovation Motivation ● Achievement drive ● Commitment ● Initiative ● Optimism Empathy ● Understand others ● Develop others ● Service orientation ● Leveraging diversity ● Political awareness Social Skills ● Influence ● Communication ● Conflict management ● Leadership ● Change catalyst ● Building bonds ● Collaboration and cooperation ● Team capabilities
  • 4. Exercise Influence and Stimulating Action It can be surmised that building bonds would be helpful in the complex healthcare environment. A key in building bonds is to develop extensive informal networks where mutually beneficial relationships are carefully cultivated. The networks are chosen based on expertise that each member brings to the table and willingness to extend knowledge or expertise when needed. Innovation is not seen as a necessary change agent competency because the change agent helps others unlock their ideas and work through them. Leadership styles and competencies Goleman asserts that one can develop higher EI competency through practice. Self tests are available to see where one stands compared to others. EI can be practiced by learning to use the six leadership styles listed. Practice of each style sharpens one’s EI in specific competencies. They should all be used at points where such an effect is needed. Use in combination is appropriate.
  • 5. The Power Bases The social skill influence is an EI competency that leaders leverage to get things accomplished. Influence is grounded in the power individuals exercise, according to Kenneth W. Thomas, PhD. Thomas presents six power types along with the influence effect each type produces. The key aim for the BI/Analytics consultant related to influence is to build commitment to an idea, an approach, a KPI or a new way of looking at or making decisions. Note the commitment effect is related to personal power bases expertise and information, which the BI/Analytics consultant should have or can build in abundance. Also needed is compliance from those outside one’s direct control to successfully conduct experiments and launch new analytic approaches. Goodwill should also be used to build commitment. Successful use of these power bases relies on communication. 6 Power bases are:
  • 6. 1. Authority-one’s formal right to direct others in certain matters and others’ obligation to follow those directions. 2. Reward-one’s control over things others desire. 3. Discipline-One’s formal right to punish others. 4. Information-Facts or reasoning that one possesses and is able to share convincingly with team members. 5. Expertise-One’s superior judgment or knowledge in a specific area. 6. Goodwill-Feelings of support and respect that one has built with others. The influence effect that each power base produces is presented here. Some sources of power base production are presented here. Some sources of power are positional, while others are personal. Positional power bases often are not available to the BI/Analytics consultant, as they require one to be in position of direct authority over another. Positional power bases are not needed to build commitment. However, ensuring compliance is necessary, along with occasionally overcoming resistance, and these do not come from commitment alone. Depending on the situation, one may be available to wield positional power when acting in project management capacity, though this is
  • 7. difficult. Whennot in a positional power position, one can exercise personal power to reward individuals that fosters compliance. Mechanisms need to be in place to make this happen. It is essential to have the ability to use all power types as appropriate to spur progress. Source of Power Power Base Influence Effect Position Authority Compliance Discipline Resistance Reward Compliance Personal Information Commitment Expertise Commitment Goodwill Commitment Fostering Commitment Now one has a tool set for action. However, conscious use of the tools must be engaged. The stakeholder provides insights into the interests and needs of individuals involved at all organizational levels. From this analysis, one should have a keen appreciation of how to engage EI social competencies. This strengthens political awareness. Action steps, if developed carefully in the stakeholder process, can address political issues and act as power mechanisms of reward and goodwill to foster compliance and commitment. For example, set
  • 8. up the plan for someone who wants a say and participation, so they can participate and talk. They will feel rewarded. Enrolling them in the process through participation because you can(exercise goodwill) engage team capabilities. In turn, those drawn in will now exhibit goodwill to others as it has been extended to them, which leads to commitment. Other Tools-Sponsorship One of the other tools to engage in the process is sponsorship. Sponsorship can be defined as fostering transparency and accountability in the group process, again fitting with necessary EI competencies of political awareness, initiative and influence. Although one may not be engaged in a formal project management (PM) situation, the PM tool of sponsorship ensures that enough organizational executive influence is available to exert pressure against possible resistance. Others Tools-Communication
  • 9. Communication is another tool. It’s important to understand one’s own communication style and preferences and be sensitive to the styles and preferences of others. A number of self- scoring tools are available that can be used to master interpersonal communication skills. Some of these are: ● DiSC profile-this tool illuminates one’s communication preferences(dominant, influencer, steadiness & conscientiousness). When these preferences are known, one can work to understand and interact with others in the context of their preferred styles of communication. ● Myers Briggs Temperament Index: This tool helps individuals and groups understand the basic differences in the ways they prefer to use their perception and judgment. ● Kolbe Conative Index-this tool offers a measure of how people are hardwired to take action in one of four ways(fact finder, follow through, quick start or implementer). Exercising influence and Stimulating Action Whether using these or other tools, it’s helpful to understand communications preferences and styles in oneself and in team members. The
  • 10. aim is to carefully build a team that is balanced in communication styles to achieve diversity of thought and action. Then continue to hone these skills across the course of the work. Is it this simple? No. Conscious action is required along with careful and forward-looking networking and preparation. There is no substitute. There are those who might eschew this process as contrived and surreptitious. However, goodwill-the most powerful of the power bases due to the broad spectrum of activities and methods. Goodwill is easily dissipated where transparency and open action are not in force. Finding Opportunity Focus on performance Using the approaches discussed earlier for working across the organization at all levels, one can uncover areas and issues of importance that need to be addressed. Here the organization can see if attainment of the benchmark is possible and what it might take to achieve it based on the what if findings. And the organization can see what is possible today. So decision- making related to targets is in line with the 5
  • 11. key power decision attributes-more targeted, replicable, expeditious and lower in cost. Are Policies and rules in Place? Also revealed in this type of analysis is whether the organization has the policies in place, and whether actual practice and compliance are in line with these policies, to perform at desired levels. As the predictive analytic experimentation process requires ia set of rules by which to make predictions(this is how the organization wants or should operate), the set of rules by which the organization actually operates becomes clear. Then the what if questions always prompt the questions: “So what are you doing now?” Often it has been found that significant issues with compliance exist and, frequently enough, policies and rules do not exist. They must be built. So experimentation reveals 2 things: ● The data needed(ADT, clinical, financial, etc or process performance) ● The policies and rules by which the predictions and prescriptions must be developed and
  • 12. implemented with any analytics. Who is responsible? As part of moving along this path, one will have performed a stakeholder analysis. This analysis will have revealed another important area of information: Who is involved in the chain of events that makes up the item in question? Who is ultimately responsible? Who executes the item on a daily basis? For example, staffing on nursing floors, collection decisions or how the marker for high 30-day readmit risk is actually addressed. Or regarding outpatient demand management activity in Primary Care- to manage identified chronic healthcare users with diabetes. After building a new very expensive construct dashboard with very detailed metrics as requested-does the operating areas use it? Do the metrics move? One can easily surmise the highly sensitive situation that begins to present itself. The capability and willingness of operating managers at several levels may be called into question. This is the reason for advance engagement of the stakeholders analysis and plan, EI building bonds and networking and sponsorship tools, along with
  • 13. involving the operating managers in the experiment development process. However, this uncovers the need for sponsorship and in some situations where distributed decision-making is required, this need is absolute. This a model to ensure the aims planned are actually executed down the line. In particular, the sponsorship tool calls for finding a sponsor at the highest level who can hold accountable all actors involved in the work. The CFO cannot hold the COO or CNO accountable, therefore the CEO must be the sponsor. If this is not possible, then the initiative should not be engaged. Case study Consider this real case regarding outpatient demand management activity in Primary Care. The initiative’s aim is to manage identified chronic condition healthcare users having diabetes. After building an expensive dashboard with detailed metrics(as requested) to support operating managers(those responsible for execution) to address the issue, does the outpatient primary care office and clinic facilities use it? Do
  • 14. metrics move? The senior leadership team is asking questions to validate the use of the tool to address the issue as the metrics are not moving appreciably. Case Study-Answer CEO-Correct. No. Not necessarily intuitive, yet the initiative involves clinical staff(medical & nursing) along with the support of administrative staff. All of these positions stop with the CEO. It might be considered below the CEO’s work, yet as in the chart presented, the sponsor must have the authority to mobilize action. In this case the clinical teams and administrative team must become and remain mobilized. Chief Admin Officer-Incorrect. This position has no leverage over the CMO, when push comes to shove in organizational politics. CNO-Incorrect. The CNO is the usual suspect for clinical accountability. However, what about the medical team? What about the necessary support of the clinical staff by administrative
  • 15. team? The CNO has no leverage here. VP of Primary Office Admin: Incorrect. This individual has no authority or leverage over clinical execution. CFO: Incorrect. This individual has no authority or leverage over clinical execution. VP of Finance: Incorrect. This individual has no authority or leverage over clinical execution. Director of BI/A: Incorrect. This individual has created a tool according to specs but does not have authority or leverage over clinical execution. Communicating within the organization The BI/A consultant must present the results data effectively in a general sense. In addition, however, he or she must present results in terms to which others in the organization will relate. The typical return on investment(ROI) findings leave many cold. Often the first thought is that ROI means loss of jobs. This can easily be the case in clinical areas, since labor is largely the only visible expense. ROI to many is based on cost reduction only. To mitigate this
  • 16. tendency, it is critical to involve not only the unit director or manager when starting with the experiment design process. Stakeholders, specifically staff members involved in the process should participate. It is helpful to have staff members who are vocal about the need for change because they have an invaluable ground-level viewpoint that should be taken into consideration. Communicating of Analytic Process and Information This complement of participants provides the base of information about how things are done to engage the foundational discovery work needed at the start of designing the experiment, such as process flowcharting, value stream mapping and policy/operating practice identification. At the same time, the BI/Analytics consultant can teach participants about the work being done and its meaning. The real payoff of involving this larger group threefold: ● An outcome will be defined in advance in terms the stakeholders understand(negotiating
  • 17. with key stakeholders and managing expectations) ● Policies and practices, whether they are good, absent or lacking in performance, will become transparent and can be appropriately addressed ● The group will have a greater level of understanding and analytics sophistication An additional benefit of this process is the advisory role one can develop with the team over the time of the working relationship. The transparency of the process called for the assistance of analytics in developing solutions. This process leverages EI competencies, leadership styles and robustly leverages power bases. It is also well known as part of the Total Quality Management process, lean processes and similar implementations used over the last 20 years. Proving Value ROI “Because everyone else is'' is, of course, not a reasonable statement for winning approval. The question regularly asked is how does one show ROI? Consider, first, that ROI means many
  • 18. things. Straight dollar costs or revenues, care quality and process improvement cover the major functional concerns. Regarding costs, consider the following: ● First, look at performance against known benchmarks. Organizations normally track a number. Tracking against benchmarks is fraught with disagreement as to appropriateness and applicability, often depending on who is speaking and how the benchmark makes their area appear. Remember that with cost being the predominant indicator of performance, defending a position often revolves around how “thethings driving cost in our business look nothing like the others in the benchmark cohort.” And it is best not to spend a great deal of time arguing about this. The benchmark is not an absolute, it is a relative position with all other things being equal. Benchmarks provide needed directional information( i.e., is the organization on the right highway?). For example, let’s look at the biggest organizational expense, labor. Suppose one finds labor cost related to revenues to be in excess of benchmarks determined by a cohort of best-practice organizations, or even the benchmark overall, by upwards of 10%. Are there differences in a host of operating conditions?
  • 19. Yes, maybe. Do they account for a difference of 10%? One may be a different road altogether. More importantly, one has a tremendous opportunity for return even with a few points improvement, as the dollar amounts are so large. Careful simultaneous use of analytics across all three types discussed( descriptive, predictive & prescriptive) will unlock this potential. Similarly, related to supply expense, best-practice organizations run these costs in the very low 20% range. Calculate what these mean for your organization in excess dollars spent. Quality and return The relationship between clinical quality and return is becoming obvious when one considers the cost savings of fewer re- hospitalizations, lower numbers of MRSA cases and earlier detection of high blood pressure, for example. These are not necessary soft costs. The challenge will be for the BI/Analytics consultant to set up straw-man experiments using predictive models that look
  • 20. at the possibilities in advance and obtain agreement on the range of outcomes. Then compare these to a cost table. Again, likely the 3-year return will show clearly. The question is, how does one monetize some aspects of performance that need to be considered, such as clinician coverage or process redesign? Again, careful experimentation is called for. As part of the experiment, one will first need to flowchart, measure the value and stream map the processes involved, looking carefully at the time needed for performing tasks(resource consumption), timing of tasks and the time wasted between tasks. This gives a comparison baseline to see if any clinical changes( such as length of stay), result from processes of coverage change. And what changes are likely to be related to improvements in healthcare user condition? Working with clinical informaticists can lead to much richer experimentation and analysis, such as investigation of particular clinical factors, interventions, processes, outcomes, etc. related to operational aspects( such as unit coverage, timing of shifts, availability of supplies,etc.,). If there are no clinical informaticists in your organization to work with you will have to develop some organizational capacity that
  • 21. incorporates the thinking of this discipline into your analytics work. Unfortunately, the path for doing this is beyond the scope of this course. Measuring Performance Gains If significance was found in fewer SL 1P cases after opening the urgent care center, one adjusts processes to ensure more SL 1P cases go to the urgent care center(which could be monetized and studied and might lead to staffing the ED differently). The new ED staffing might be focused on fewer RNs but may require RNs with greater experience and competency to handle the now higher severity mix. The cost for RN labor could be measured, as it should be. And since one performed value stream mapping prior to making changes, it could be conducted again to measure performance gains in task time(cost). All of these would be looked at in relation to ED practice information that is available on throughout and outcome improvements. The key here is engaging advance planning of experiments to include process and value stream mapping, with input from staff, conducting the experiment and analyzing significance. Improvements of significance-those that can be scaled up-can be taken to
  • 22. the bank. Use of all analytic types ensures that one’s experiment covers all the questions discussed. Conclusion