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Background
eathcate organizations ae constantly improving the quality ofthe cate pases have cometo expect. They at to-achieequity goa by
ng the cos of healheare.
 
Limproving the individual experience of are and the health of the popalation, while aloe
Procedures
For iis project complet only one ofthe fllowing projects, Be sue to complete both Parts aid forthe project you've chosen, and then submit
‘eto your instructor for grading
‘Project Choice 1: Dynamic Complexity
“Part a Resse the tstuetons forthe exercise of Chapter in your tex Describe how dynamic complexity applies to he xanple ofthe exercise,
| Hfyou need help refer to your textbook and alsa tothe We resourees sed in your texto,
“
| Part Review Exercise 3 fom the practice lab section at the back your text, Read he ease study presented and then answer questions 2 an
Project Choice 2: Errors
art A. Review the exercise of Chapter 13 in your text Review the ease scenario presented andthe Ist of erors. Create a table withthe headings
1egory/Typeof Failure” and “Ero ike the table shown, The, from the list of posible errors, Ist each error by the eype. Ifyou need help refer
toyourtexthook and use the Web resources stein your textbook,
 
‘Part B. Review txercse 11 fom the practice lab section atthe back ol your text, Head the Instructions presented and hen anser FMEA,
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SS
CHARACTERISTICS OF COMPLEX SYSTEMS 3
Learning Objectives
After completing this chapter, you should he able
© cus ane ay
problems,
+ recognize different types of systems and the role of systeyp
 
ns penpective can explain recurrent onganigational
 
 
 
 
+ describe system characteristics that contribute to dynamic complexity,
and
© eaplain the influence of dynamic complexity om managerial devision
making,
    
begin to ee recurring problems>-sometins in an inva organic
and sometimes across theenfire fick, Problems thought to be 0
‘one manager may come back at a later time for a different manager. The
‘ce president of nursing a lang hospital may centralize and cfs-rain nurse
cxlucator positions to meet necessary budget cts for the years year later,
the new vice president of nursing atthe sane hospital ake unit-based nurse
educator postions adres the unmet sinical ore
hires. Consider the following situation (Gicurgopoulos and Mann 1962,
549-31)
f
Thethosptal faces a number of problems concerning the nursing staff... one
‘major problems... attracting and retaining a sufficient professional nursing taf,
especially nn-supervisory nursing staf... The problem lies inthe fat thatthe
numberof professional nurses being trained in nursing schools is much too low
to meet an ever increasing demand for professional nurses by hospitals and other
sources... Belng understaffed, hospitals often assign tothe professional nurse
a ather heavy workload that is not seen as norma or reasonable by many nurses
-+-Another important problem ...iyolves the composition ofthe total cursing
staf the question of optimum balance inthe proportions of taf members who ate
registered nurses, practical nurses, and ades
A people accumulate years of expefience in the healtheare field, th
 
od
    
    
 
on nceds ofits new
 
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Although this situation may appear to address a manager's current challenges
with nursing shortages, the exceept was taken from the book The Community
General Hospital, which was published in 1962! During. the more than 50
years since that book was written, health services organizations seem to have
rade little headway in issues related to workforce planning and management
 
 
 
 
Nursing shortages, for example, appeared and disappeared in waves the 1960s,
1970s, 1980s, early 1990s, and again in the early slecades of the twenty-first
 
66 percent a shortage of nurses, 50 percent shortages of min practitioners an
physician assistants, and 43 percent a shortage of alied healtheate professionals
(AMIN Healtheare 2013).
‘The projected supply of healthcare warkers will not meet the demand
associated with future population growth sind aging (
Compounding this problem, the Alfordable Care Act of
the already-strained healthcare delivery system with newly insured patients
Individuals are facing longer wait tines to sce physicians difficulties accessing
specialty care, reduced appointment duration, inadequate services, and overall
frustration as a result of workforce shortages. Being short-stalfed requires
careful management of antyanization’s healthcare resources. For example,
the lack of expericneedl registered murses is easing acute care fxilities, such
as the Rapid City Regional Hospital in South Dakota, 10 adjust the numbe
of available beds evéry day on the basis of the numbeF of nurses available
cach shift (Grant 2016).
Regardless of how healthcare systems/mmight change in the future,
constant remains. Organizations stil ide! people on the front lines of
heaheare delivery—physiians, nurse, advance pratitonens, an lied
_boalth profesional, As heslheare delivery ystems becomte more complet,
rganizations without a suflcient umber of siled and dedicated workers
will fd it difficult to achieve quality goals.
< Why do budget problems and workforce shortages remain nagying
cs fr health services managers? The reasons lic inthe complex nature af
hnealtheare, healthcare‘organizations, and the healthcare field. In healthcare,
asin other sectors, "systems thinking is needed more than ever because we
are being averwhelmed with complexity” (Senge 1990, 69), Today, one may
rephrase Senge’s 1990 comment to read, “Systems thinking is imperative in
 
      
 
 
 
   
    
 
 
 
   
complex Incalth services organizations because they are much more complex than they
having large were in 1990.
‘number ofvari-
‘bles that imeract In healthcare systems, the term complex refers
Wwitheachotherin large number of variables that
innumerabie.and unpredictable ways. Considering the multiple determi
Shen rperi ;
henson mbt ceupenentscpanis beat serves o
 
 
 
 
teract with each other
 
 
 
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or transmitted without publisher's prior permission. Violators will be prosecutedCharacteris Systems
   
the posible iterations ae mind bing. Heath an heh service
tmyanzaos ar chactezed by tars wich “ean an fet
arse aml wher he ets eerie of inerventons et tn
(Senge 2006, 71), This charaterbac represent anther pe comple
two asdyeamic complexity. Inthe reseee of dynamic complerin the dane
‘same action has dramatically different effects in the short run and the long complexity
fun. an action hs one se comseucnces land avery erent cet SBE
Prorat rll marth pein aieay, cly
produce nonobvious consequences” (Senge 2006. 71), and where the
 
 
 
 
 
     
‘When fice with dani cmplesi manager i cet steentioms seem ine
that ter the findamental ichavior ofthe system ha causing dhe rable, SEEM,
thetic, the sola only temporary. Ao seen ithe uiing shortage Genesee a)
cxample, although interventions may ofler temporary relief, the problems
resurface again and again,
‘The stating point for altering fundamental system Beiavior is always a
mystery. Every system improvement we now know as bing successful started
‘out as 3 puzzle in which the variables that mattered ere unknown and the
cause -and-
como Tw
Health Enforcement ‘Corrections tant
cists
Gece
Emsoes of
 
the larger system, Macrosystems are the organizations providing health seevices,
such as hospitals, nursing homes, community health clinics, and emergency
amedical services, ‘These macrusystems are “connected via individuals and
reams, regulations and rules, al technology" (Johnson, Miller, and Horowitz
2008, 3), The many health organization mergers, partncrabps, and afilations
following passage of the 2010 Affordable Care Act have ereated a number
 
‘of regional healthcare delivery systems comprising, multiple macrosestems
(PricewaterhouseCoopers 2016
 
In each macrosystem are innumerable microsystems, Microsystems,
are made up of the "people, machines, and data at the level of direct patient
care (the treatment team within the hospital or the physician office practice
for example)” (Sehyve 2005, 2). Just like the parts of a macrosystem, the
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Systems
parts of a microxys
 
ineract with each ener vo fom an interdepende
‘whole, During research into the rontine clinical teams in various healthcare
settings, Goditey, Nebon, at Bataklen (2004, 5) coined the phrase clinical
smicrosystem to describe "a small group of people who work together on a
Iar basis wo pronide care to disercte subpopulations of patents.” These
ca mierosssts are “the place where patent, familie, and are 1
rect... They are living unite that change aver ime and always havea patient
«person with a alth ced) at their center” (Micronstem Academy 2016),
An example of a microsstem (or clinical microsstem, a» sine would
call itis the team of people working inthe cardiac catheterization la during. patients” (Godby,
2 coronary angiography procedure. This tcam ofien consists ofa cardiologist, Nelson, and
ore nurses monitoring the patient's vital signs, a crab mupse and a ®atalden 2004, 5)
‘circulating nurse, an X-ray technician, and one or more nurses of cardiovascular
invasive specialists assisting with recording and other duties) These people
have diferent eaponsiblites, yt the augiography procedité cannot yet dane
‘sthout cach of them working interactively with other fram members
Asystem reflects the whole, and “systems thinking is 4 view of systems thinking
reality that emphasizes the relationships and interactions of cach part of the 72 view of reality
the other parts” (McLawblin and Olson 2012, 39), Rather EEEMBRESeS
than considering each part ofthe system t@ be unigue and separate, systems, “andinraions
thinking acknowledges he infinite ame Fungi par an ehc way in Lea
which the parts interact, 5 wellas the nature of the interactions. Recognizing {h® system tall
tw ech part functions within the stem ss whole and hon an —
actions affect all ther aspeesb.of the apstem i ital to unk ‘Olson 201,39)
of systems thinking. ~., i
“The importance of developing a lear unskertanding Bf the parts of
system and how they interact i illustrated by the ancient parable fom India
about the blind men and the elephant, "There are many versions of this storys
hosweser,the common denominator that each mart els a derent part uf he
animal, andonly that part, to learn what an elephant is. When the men compare
their andértandings ofan elephant, they ate in complete disagreement
parablé demonstrates what can happen when people have distinctly different
perceptions about the same sytem, In these situations, demain relationships
benveen the elements and understanding how they are connected is more
challenging.
  
 
    
  
    
          
careto discrete
   
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Dynamic Complexity
 
Several system characteristics comity complexity
(Sterman 2000). Five characteristics, predominant in healtheare and health
 
   
1 the presence of dy
 
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A Systems Ap)
 
  
services organizations, are described in this section: chany
dependency, sight coupling, and nonlinearity (see exhibit 3
oll, history
 
Change
Systems are dyn:
rates and scales withi
   
occurs at dierent
care. Consider
ati constantly changing. Chay
and among systems, especially in heal
three levels of this characteristic of dynamic complexity in health services
First, the human body changes continuously. ‘This fact meas that key inputs
(patients with a clinical problem) to and outputs (patients”stanus after
clinical intervertion) of healtheare systems are moving targets. Second, the
‘organizational comtexts in which health services are carried out are dynamic
in nature, Employees moe i research provides
an ongoing stream of new evidence, and technological advances offer new
clinical and management approaches. Third, the communities and political
environments in which we live and in which healthcare organizations operate
change—that is, the environment changes with economic cycles, political
ideologies, and cleetion eyeles. Unlike orher complex systems, such as av
the level of change and the degrce of uncertainty that characterizes man,
the problems faced by practitioners make healthcare a particuladly hazard
complex system (Runciman! Merry, and Walton 2007).
  
 
   
 
  
   
 
 
   
 
        
 
   
{Implications for Healthcare Managers,
From the day a petion is born to the day she dies, sc isin a constant state
of change, gréwing and developing physiologically and emotionally. Ne ww
SS
 
 
 
 
 
 
 
 
 
 
 
 
 
exuiern3.2
System =
Charactersties 2” Eee
Contributing ae are
to Dynamic are moving target
Complexity
Nonlinearity Trade-offs.
tte s unrelated compromises
tothe euse, rst be made to
achieve goals
Tighe coupling l
‘System parts have prompt History dependency
‘aed aor impact on The past influences
‘one another the present
 
 
 
 
 
    
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fhuman systems are alike or precisely predictable in thir esponses toa medical
intervention, As a result, functions that may seem straightforward in other
industries, such a proxtuct standardization, become more ecu for healthcare
‘managers. For example, the practice of using a standardized list of drug. names
and brands (i..3 hospital formulary) to reduce medication expenses is accepted
practice. However, when the dynamic nature of patient physiology is introduce
the manager recognizes that in addition to the question, “What are the set oF
«drug names and brands that will be most custeflective?” he also needs 0 ask,
“How should the approved drugs be selected, and what ae the consequences
to patients?”
To aid in grasping the subtle bur important nuances involved in
lividualizing treatment plans, consider the process of rying’an,a pair of
blue jeans. People have their own favorite brand of blue jeans tit ft well
even though another brand may be advertised as having a similar size ancl
style. The hospital formulary essentially dictates to doctof®'that the patient
may buy only slim-eut size 10 jeans and mor relaxed-ft size 10 jeans (Kelly
and Pestotnik 1998), Studies on variations in genetic makeup and the nature
of genc-environment interactions promise to shed light in yet unimaginable
ways on why certain treatments of medications may work better ki
person than another, The emerging ficld of pharmacogenomics may permit.
drug seleetion in the future to be based on an individual's unique genetic “a blotecino
taakep.alsing the prdigan ej bea sence npn mage aan
pharmacotherapeuties (Medline Plis and Merriam-Webster 2016). Preémptive techniques of med:
medicine—"removing the initial molecular evemt—precluding the possibilty ne, pharmaco:
of thar thing even happening” (Culliton 2006, W96)—willfkely alter the 98% and genomics
   
 
 
 
       
 
   
  
 
 
 
2 and isconcerned
Fundamental role of healtfcare delivery organizations in the fa castes
: rug therapies,
Trade-offs tocompensate
‘The ned undersand the nature of wale tay sem uanecenary or tara
managers ght to weigh pros versus cons OF opportunities vrais risks as Sep aaa
they cander organizational decision options. Trade-offs may be scen as an responses toa “
accept atribute of management situafions, However, an understanding of single therapeutic
dynamic complexity fosters an appreciation for the system consequences af imen” Medtine
local management trade-off decisions. “Time delays in feedback channels mean Webster 2016)
the long-run respon intervention i often diferent
its short-run response. High leverage polices olten cause worse-before-better
Ibchavior, while low leverage policies often ge
befire the problem grows worse” (Stern.
 
 
   
   
pharmaco-
therapeutics
rate transitory improvement “the sady ofthe
therapeutic uses
and effects of
drugs” (Medtine
{Implications for Healthcare Managers. Plus and Metiam-
Classic examples of low-leverage policies are found in the studies of attempts Webster 2016),
to reduce health syste ng the length of hospital stays, One
 
 
 
‘costs by real
 
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study reported tha healthy newboons diacharged fromthe henpital 48 hour,
for sooner after delivery, saving the costs of longer say, had a significantly
higher Fisk or readmission, nvrbiiy, and niconatal mortality (Farha an Raja
2011). Another analysis found that hospitals with shorter lengths of stay were
more likely to discharge Medicare patients to nursing fltes and inpatient
schabiltation facies, suggesting tha some hospitals may be using post acute
care a substitute tor inpatient care (Sacks tal, 2016
1s manager in thes cases viewed the healthcare sytem a microystem
(ex. the hospital department where patients received care) ar the hospital
_xminitrator viewed t 3 macrexptem (this hoxptal), the interventions
chosen to reduce system cont might have been viewed as succes, However,
i one views the healthcare syst a8 4 micganytem that
aeute phase of care (eg. the department where patient care occurred, the
hospital but ako the downstream providers (eet hana, emergency
services, clinic services, nursing and rehabilitation facilities) and takes
account onthe relationships among all providers influence patent outcomes,
the longer-term behavir of the syste can be abnerved,
From a systems perspective, the acute care manager is csponsible for
the acute care unit or hospital and also forthe effect thine lasaldisions have
onthe rest of the system gfwhich the managers component f apart. ‘This
perspective dacs not meatt that the manager of a hospital department or the
hospital administrator should nor strive vo reduce hospital ents. tk docs mean
that managers fifaincial officers, CEOs, and poligyiakers shoul e aware
‘oF how deciéans made and implemented in tele domains of respo
affect other parts ofthe healthcare sytem pusitvely and negatively: When
2 negative impact on anonher part of the sytem i aniipated, the manager
shauld be proactive in the short term-fo ‘Kelp minimize the negative effects
and preserve positive patient outconats, With the emergence of accountable
‘re organizations, managers myst learn how to optimize the macrosystems
ef telsheare delivery while improving the microystems
ther common trade of challenges fr healthcare managers surround
the differences between expense an investment decishons within organizations
and departments. The long-term effeer ofa managers short-term deci
‘ay not be felt by another component in the macronystem, but perhaps i will
surfice in the fitre in the manager's nvn department or organization. For
example, docs the manager sacrifice capital improvements to fund contract
sworn in expentinures
ng
staff development activities may meet short-term financial priorities, these
efforts ill inthe category of law-leverage policies hecanse the problems
‘of facie aging staff shortages, and the need fora competent workforce will
surly be fice by the manager inthe future, Without an appreciation of syste
 
 
   
 
 
 
 
Jules not only the
 
   
 
 
   
 
 
  
 
  
 
1¢ shore term? Des managers reduce state:
 
to lower current expenses? Although chovning contract workers and red
   
 
 
 
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5 of Complex Systems
consequences, one manager may be rewarded for short-term “success” with a
promotion, while his successor inherits the longer-term problem.
In the torr sample, the organization may be willing to trade
the rare adverse medication event for dollar savings realized from product
standardization. However, this decision could compromise patient outcomes
and unintentionally contribute to polarizauon and conilct between clinicians
and managers.
  
 
 
 
History Dependency
Syates are history dependent, In other words, what has happened inthe
past influences what fs happening right now, "We have always done i this
seay" methods of healthcare livery ae offen perpetiatd despite pesca
supported Knowicdge that points tw more elec practice, Some ofthese
dated practices include (Mclnyk 2016),
+ recording vital signs every four hours at night on sfable patients, despite
thei uced for undiseupte slep for recovery, =
+ removing urinary catheters only on 4 physician's orders, though the
removal of catheters according to 4 nurse driven protocel is
efficient and may prevent urinary tractfiections; and
+ continuing the practice of 12-hae nursing shifs, when
research indicate adverse outcopics for nurses and paticnts
 
 
 
   
     
 
 
Some actions taken in he past are reversible, while some canon be esi
overturned, For example, a strategic cision by’ hospital tu convert some
inpatient beds to skilled nursing beds could be difficult te reverse
when more inpaticn bos are needed
 
 
 
Implications for Healthcare Managers
¢ patient nd the onganization, Because
ior dgfendency mayen
of advasifements in the care of chronic illnesses, rather than succumb to
complications of une illness, elderly adults are often under treatment for
several chronic illnesses concurrently, Persons with cystic fbosis or barn with
congenital heart defects now enjoy aie expectancy into adulthouxk; previously
these conditions usualy were tal in childhood. Unhealthy b
cxcesive alcobol, drugs, oF cigaretes, even when discontinued, may have long
Laing health consequences. Undertauing 3 patents history i important not
‘only for clinical providers but also for health services manager. For exampl
4 patient's health history influences resources requiee for his care
paticnt being treated for asthma, hypertension, and diabetes requ
labor intensive care when having his gallbladder removed than an otherwise
 
 
   
 
 
        
 
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healthy athlete undergoing the same surgery. [n recognition ofthese dierences,
managers must be willing to make nurse staffing adjustments for patient acuity
(Huston 2013).
“The manager must realize not only how past events have shaped current
events but also how past decision-making strategies and directions may influ
her ability to successfully achieve current and future goals. Using the nursing
issue example, ithe organization has historically rewarded managers for
n budgetary expectations, a significant increase in nurse salary costs
‘caring for sicker patients without corresponding increases in,
patient care revenue might be difficult to sell given the organization's history
cof rewards and decision making.
   
   
Tight Coupling
tightly coupled A system is characterized as tightly coupled when its “parts exhibit relatively
time-dependent, invariant and inflexible eonnections with litle stack” (Scott
2003, 358). An example iyan elegantly gaftet configuration of dominoes that
 
   
the parts “exibit
 
     
feisvelyime. can be set in mosion by 4 push eoaeris pice. Iva tightly coupled sytem,
dependent, it can be difficult for people to recognize and correct mistakes to prevent an
Imari. undesirable etsome, Tight eiuping i alo present when “the actors in the
Connections with s¥stem interact strongly with one another” (Sterman 2000, 22).
Wil sack (Set
2003, 358) Implications for Healthcare Managers
Organizations in fidustries outside of health services that are most commonly
iuentfed a tightly coupled include nucleae power plans and ara carters
(Dlogace and Spath 2011), Healtheare organizations ofien demonstrate loosely
couple s6cil structures such as department, divisions, andl professional groups,
yetthe tasks carried by the microsystemin the organizations are often tightly
_svipld, For example, cardiologist ures, and Xray technicians belong 4
“Separate, distinct, loosely coupled provessional groups and departments within
the structure of the organization. Yet, when these people come together asa
tnirosystem in the cardia eathcterzation lab, the tasks they perform while
ing a angiegram procedure ate tightly couple. In this ightly coupled
ct futient entity mistake or the administration of wrong
‘medication can quickly lead to disastrous consequences hecause the link between
actions and outcomes is more direct.
‘Numerous interactions among and between peuple, processes, and
departments individual organizations and interactions among services along
jinaum of eae require managers to be attentive to the concept of
1. lesigning, and instiutionalizing tools that promote
a, ourdination, and strengthened
{relationships among players ar required competencies for contemporary health
services managers. Checklists that detail proper patient management practice,
 
  
 
 
cond
 
   
 
 
 
   
   
 
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bbar-cadeu patient identification mechanisms, and standardized bandos between
caregivers ar just three of the many tools used to improve the quality of patient
care in tightly coupled systenms (Dlugacz and Spath 2011).
 
Nonlinearity
The term nonlinear, as it refers to a system characteristic, means that the sontnear
“effect is rarely proportional to the cause” (Sterman 2000, 22). Because the ‘elating toa
system in which
parts in nonlinear systems may interact in numerous ways, these interactions een
often follow “unexpected sequences that are not visible or not immediately, prepartional othe
comprehensible” (Seott 2003, 358). fn a nonlincar system, small devatiny cause” (Sterman
may have huge, unpredictable, and irregular few 2000,22)
  
 
 
 
Implications for Healthcare Managers
Here san example ofthe nonlinear nature of healthcare spats. A respitatory
therapist just starting che alicmoon shifts the object of an outburst of anger
from a patient's family. The therapist relates the encounter to a colleague at
the nurse's station: “AULT dil was say, Hello"! Thi situation may’ bin
snind the old idiom “the straw that broke the camels back.~ In ic, this
isan securate desertion of the encounter.
“The patient and her family had accumifned a sequence of unsatsfcto
experiences during the hospital stay; sy allt ook was one more encounter
trigger theiranger. though this timewas the fist thatthe afiernoomn therapist
hha met the Family his was the fast in a series of interactions herween the
patient and the healthcare system that caused this funy geet IP patient
complains to the manager bout this therapist, what should the mat
Without an appreciation fr the nonlinear nature of ystems, the mara
bbe tempted to discipline the employee. However, if the mianager docs have
such an appresiagjn, she may tey wo investigate the dequence of events that
culminated ite family's dissatisfaction. Although each event was relatively
harmless wien considered individually when linked together with the family’s
overall experiences, they contributed to an gnacceptable encounter. From this
invesiation, the manager may densify greas that ean be improved to enhance
the patients overall experince with the care delivery process.
Another example of the nonlinear narare of systems may’ be seen in
strategies used to reduce personnel expense in healthcare organizations. Because
personel expenses make up such a large percentage of operating budgets,
changing the staff mis—that i, reducing the number of profesional stall
(e.g. registred nurses, medial technologists, pharmacigs) and increasing
the proportion of asstive personnel (e.g. nue aides, laboratory assistants,
pharmacy technicians)—is 3 Whew this
invervention is studied fram a systems perspective, however, the re
scaqcnes of activities al thc interclationships re more reais seen, The
    
   
 
   
 
 
   
   
     
 
 
 
   
 
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planned consequences of this cost-cutting strategy in one organization
included an increase in the overall employee turnover rate because of the
frequeney with which entry-level, assistive personnel left thei jobs, Becau
cost-cutting strategy was used by managers across different types of professions
and departments, the stress and cost of continuously recruiting, hiring, and
training new employees more than offset the savings hoped! for from lowering
the average hourly wage. When viewed from one department's point of view,
the cost-reduction strategy may appear to be reasonable; however, when the
compounding effect of this cost-cutting strategy is viewed across the entire
organization, the strategy designed ty reduce custs actuallt undermines the
‘organization's ability to do so (Kelly 1999)
 
 
 
 
 
 
 
‘Summary
Like “quality” “stern” can carry a ypriery of connotations, In this text, a
system Feirs t a set of connected par that fi together to achieve a purpose
“The connected parts may be a health system that contains many organizations
(3 megasystenn), an organization (a maeroxystem), or 3 stall unt or clinical
team in an onganization (a mirosystem
ystems thinking, a management discipline, acknowledges the large
umber of parts in system, che infinite number of ways in which the parts
interact, and the dture of the interactions. The healthcare system, whether the
term refers r0.a single patient care unit a faility OF all providers ina state of
throughout the nation, is dynamically complex, The five syatem characteristics
contributing to the presence of dynamic edinplesity are change,
history dependency, tight coupling, and nonlinearity
  
 
 
   
“Exercise 3.1 7
Objective: To practice identifi dynamic complet
Instructions: Deseribe how the following example illustrates one or more of
the system cha
 
teristics that conteibute to dynamic compleaity
Example: Mediesl Associates is for-profit medieal group of 40 physicians that
‘operates two facilities and offers services in several medical specialties, including
cardiology; car, nose, and throat; fimily medicine; gastroenterology: general
surgery; pediatrics; and obstetrics and gynecology. Medical Associates is open
from 8:00 am until 6:00 pm, Plans are being.
developed te exten its hours to 9-00 pin two days a week. For several years,
‘Medical Associates discounted its listed fees by 3 percent to 5 pereent for its
 
   
 
   
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‘managed care contracts, but a few years ago, it had 1 aceept larger dis
to remain in the networks of health plans. Lower reimbursements led
Medical Associates to changes stag fam eying Solely on eitered nurses
(94s) tohiingmekaassstans (A) as wel Cute. physicians assignedto
prinary care service ar assigned on Rr MALO asi with patience. Physics
assigned to surgery ae asigned one RN forever two physicians. As RNS reir or
reassign they have been replace with MAS, On ive recent occasions when an
assigned ta senor physician resigned, he senior physkian demandes tha he
AN signed toa uno physiion be reassigned to him and that anew MAbe hed
{ofthe vacancy wih he junior physician Tis aha system of swing has
‘ased internal ume between the senior and junior physcan and ha fade
subsequent resignation of vo RNs who didnot wart tobe ressiged...Cnfsian
x around staff reporting lalionships and who hasthe autor Wo changefob
assignments. (Seidel and Lewis 2024, 215).
Companion Readings
 
Anderwn, A, 2014, “The Impact of he Atfodable Cate Act othe Health Care
Warkioce The Heritage Font. ued March 18 or ena 0
research/repots/2014/08/nginpt- ahealordble-carese-00h
health-care-workforce.- = -
Caton D.1 2008, “Sena Mlb: A Convention wth Celera Schlag
Karl E, Weick" Herat Buines Revie (41 84-90.
Lipt A 2012. Uindertaning Hea Carey Compe Sythe Foundation
foe Unintended Consesunes* Journal ofthe Amerie Metical Azciaton
 
   
 
 
 
 
  
CN) Malin, SE. Mucthing, G, Moore, 1H. Was
{$Ofinical Microsystems, Part: The Builing Blocks of Health Sestemns" Te
Joint Commission Journal ou Qualitygnd Patient Safety. Published lu. hep: //
renpternong/pceteit/aplals/2014 /05 /4_ ality safety 01
   
 
 
tine
pM
[Now England Complex System Invtitute. 2016, “About Complex Systems." Accessed
November 8. wwwnnecsiedu/guide.
Peters, D.H. 2014. “The Applisation of Systems Thinking in Heablh; Whe Use Stems
“Thinking?” Health Research Policy and Stems, Publishes August, Htps://
health: policy sstemsbinmedkentel cen /articles/W0.1186/147R AS05123]
Senge, PM. 1990, “The Leader's New Work: Burkling Learning Onganizations.”
Sloaw Management Review (Fall): 149-68.
 
 
 
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or transmitted without publisher's prior permission. Violators will be prosecuted,Applying Quality Management in Healthcare: A Systems Approach
 
 
Web Resources
Applied Systems Thinking: hap:/ /applicdystemsthinking com
Dartmouth Institute Microxystem Academy: hutps:/ /clinicah
   
system.org
Society of Organizational Leaning: www.solnline
System Dynamics Society: www systemdynamics.rg
 
re
 
 
 
References
AMN Healthcare, 2013, Clinical Workfore Survey. Retrieved June 30, 2016. www
amnalthcarecom/uploadeaFley/MainSite//Comtent/Healtheate_ Industry
Insights Industry Research /etecutivesurvey 3 pl
Andenon, A. 2014. "The Impact of the Affordable Care Aet on the Klealth Care
Workiorve.” The Hépigge Foundation, Published March 1, irwwheritage
lorg/researeh/eeporis /2014 /03 /the-impact-of-the-affordable-care-2ct
‘onthe healih-cake-worblaece.
jsease Control and Prevent
the 10 Essential Pubic Health Services.”
 
 
 
 
a. 2014, “The Publis Heath System and
pasted May: 29. ewan go8/
   
 
 
Cultun, Be, 2006, “Faaracting Kool ony Since: A Conversation with Hiss
“esha.” Healt Apjuirs 25 (3): W94W103,
‘Digaacz,¥.D..and P.L,Spath, 2011, “Hii Reliability anu Patent Safety” fn Error
co” Reduction in Health Care: A Spitems Approacl ty upraring Patient Safety,
edited by P-L. Spath, 35-56: San Francisco: Jossey-Bass
7) Farha, RL, andl M. Rajab, 2011, “Length of Postnatal Hospital Sty in Healthy
‘Newborns and Re-bospralzation Following Esty Discharge." North American
Journal of Mediaal Sciences 3 (31: 146
Geurgopoulos, B, S..and EC, Mann, 1962, The Community General Hospital. New
York: MacMillan Company
Goalies, MM... Nelon, and Batablen, 2004, Clacal Mieromtem Action
Guide: Improving Healthcare by Improving Your Microsatcm, Dartmvuth
ber 2. hy finial sng/ap siten/
uploads /2014/07 /CMAGO40104 pa.
rant, R2016, “The US. fs Runing Out of Nunes.” The Adanti, Pushed Febeuary
3. www.theatlantc.cum/health /arcive/2016/02/aussing shortage 459741
Huston, €. 1 2013. Profesional bones in Nursing: Challenyesand Opportunities. New
York: Lippincott Willanas & Wilkins,
   
 
 
   
  
   
   
 
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or transmitted without publisher's prior permission. Violators will be prosecuted.Chapt
 
teristics of Complex Systems
Insitute of Medicine 196, Healthy Communatcs New Parner or the Futur af
Public Health Wssington, DC: National Asdemies Pres
Foti, F KS. HL Abi and, D, Hermit. 2008, System Rane Pra
Improving the Safety and Quality of Patient Care ty Recognizing and
opeoving the Systens ia Whivh We Work." In Advances in Patient Safety
New Directions and Alteruntive Approaces sl, 2; Culture and Redesan,
ssited by K. Henriksen, 1B Bates, ML A. Kees and M, 1 Gedy. Agency
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{0% books /NBKSI731 /pul/Bovksil_NBKA3781 pl
D. 1. 1999, “Systems Thinking A Tol for Organizational Dagon th
‘Hescar.” In Making I Happen: Stra fiom Inde the New Workplace,
st, 9-98, Waltham, MA; Peg Communication, e
3D. Land S, 1, Pestomik, 1998, “Using Casal Loop Diagrams Fata
ouble Loup Leaening in the Healthcare Delivery Setting” Unpublishes
smanusenp,
Langabecr,J.R.,and J Helton, 2016, Healicare OperationtAlanqgement; A Sotems
eripectie, Ind. Burlngn, MUA: Janes & Rane Learn.
‘Martin, RL. 2013, “Our SeIncted Compleat” Harvard Bases Review. Pubs
Sepember 6 ps bong 2012/09 ne se ne compe
‘Metaughlin,D. Band J. R-Okon. 2012, Healthcare Operations Management, 20
fe Chicago Heath Adminstration Press
Medline Pus and Merriam-Webster. 2096, Medial Dictonary Reeve June 30
sve mesa webster con Ean /pharmasenherapeti
Meliyh, B. 2016 “Evidence Raiaractce vs. Dag Ht the Way We've Alans Dae I.
Metape Nuss Reyeed June 30 wo medcape n/c /460827
‘Mironstemn Academy. 2016: Transining Mtemstns in Hea” Dartmouth
Instute for Health Poy and Ciel Practice. Rete June 26. ups //
linicalmicrosiotem ong.
Prisewaterhaneper. 2016, US Health Serie Deana: Analeas and Tends
in OS Heath Series Activity 2018 nnd 2010 Outta. Pubs! Feb
ens sin /9/en/healhcarc/publicins/scts/pws ea service
deas-msghte gt 2018p
ncn, BA. Metra M, Wako 2007, Sey and Eni Heal Care: A
Gide vo Getng I Right. Butigton, VT: Agate
Sach GH, Lavon, A Dates, R Weis, M, Rl, Tr, Zing ard
Ko. 2016, “Vsiation in Hospital Use of Psacut Care Aer Surgery and
the Ansan with Care Quali” Medial Carr 54 (2) 172-79.
Sahyve. 2008. "Plague: Spm Thinking ard
Saft: From Research te Implementation, ol; Camarpts and Method
sted by K, Henhcn, J, Rats, 8, Mark, and D1 Lewin, Ageney
for Healthcare Resch and Quali. Publis February. wns
08 oho NBK2OS23
 
 
   
 
 
Kelly,
     
 
 
 
 
 
 
 
 
Safety” In Advance Patvent
 
 
 
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or transmitted without publisher's prior permission. Violators will be prosecuted.Appl
 
18 Quality Management in
 
Scout, RA, 2003, Oppanizatione: Rettonal, Natural ad Open Stems, Sth ed. Upper
Salle River, NI: Prentice Hall
ann |B. Lewin, 2014. The Middleburs
(Operations, Chica: Health A
Senge, P. M. 2006. The Fifth Discipline: The Art and Practice af the Learning
Organization, Jd ed. New York: Doubleday Cutten
1990. The Fifth Discipline The Art and Practice of the Learn
‘New York: Doubleday Curren:
Sterman, 1D. 2000. Busines Dyuamics: Stems Tinting
World. Boston: Iria MeGraw Hill,
Seidel
   
ok Healthcare Siatey aid
inistation Pres
  
 
Ompamtcation
 
nd Modeling fora Complex
 
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or transmitted without publisher's prior permission. Violators will be prosecuted.Printed by: ladiel25@gmail.com. Printing is for personal, private use only. No part of this book may be reproduced
or transmitted without publisher's prior permission. Violators will be prosecuted.
PRACTICE EXERCISE 3: DYNAMIC
COMPLEXITY
Objective
To practice identf\ing dynamic complexity in a patient care experience
Instructions
1, Read the case stndy
2. Review the system characteristics that contribute to dynamic
‘complexity
~ Change
Trade off
History dependency
~ Tight coupling
 
For further explanation Of these system characteristics, please refer to LD.
Sterman, 2006, “Learning from Evidence in a Compley World,” American
Journal of Public Health 96 (3): 505-14
3. Explain how these system characteristics are expressed in the case study
Case Study
  
This case is adapted from D. L. Kelly and S. L, Pestomik’s 1998 unpublished
manuscript “Using Causal Loop Diagrams to Failtate Double Loop Learning
in the Healthcare De
Mrs, Bh was a 66-year-old widow living on af
 
 
ry Setting.”
ed income, She had been
 
diagnosed with high Hood presure and osteoporosis. Her peivate doctor knew
1¢ medication with which to treat her hig
 
hher well. When he selected
pressure, he took into account her age, the fact that she hal osteoporosis,
 
 
dather isues, He chose a drug that had proven beneficial for patients st
 
289
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or transmitted without publisher's prior permission. Violators will be prosecuted,Applying Quality Management in Healthcare: A Systems Approach
‘Mo. B and had minimum side effects, Mes. B did well on the medication for
ten years. Her insurance covered the cost of her medication, except for a smal
‘out of pocket eopayaent
‘The las time Mrs. B went wo her local pharmacy to rfl her preseption,
the pharmacist informe hee tha her insurance company had contracted with
pharmacy benefits management (PRM) company. (The ole ofa PBM company
isto perform a variety of cost-cutting services for health insurance plats, One
of these services isto decide whieh drugs an insurance vompasy Will p
the PBM company’s preferred proxluct isis known a frmaary.) HMts
‘wanted to continue 10 take the same meddication, i woul €bst he five kiotes
her usual eopayment. She was quite disturbed becuse she could ot afford
this price inerease and did ot filly unnrstanal e ssance cnnpany’s ew
policy. The pharmacist offered to call Mrs. Bs dactor, explain the stuation,
and ask him whether he would change her prescription to the PBA preferred
brand. When the physician was contacted he was not aware of the PBM
‘company’s action and was not completely familiae with the preferred product.
“The pharmacist cscussed Me. Bs nt withthe physician and desribed
the financial consequences of continuing to receive her original prescription
Metis esi wth he pharmacist, the physician conan oy
‘option was to approve the sWiteh, which he did.
‘Mrs. begat taking the new brand of high blood pressure medicine
(One week after seating on the new deug, she develope a persistent cough
that aggravated héF osteoporosis and caused her rib pain, When the cough
and pain eOnginued for anorler week, Mrs, beyan to take over the counter
medicines for the pain, She unknowingly opened here wa reaction beoween
her boext pressure mediation andthe pain lication: ethosttis hypotension
Pine when rising from_a Wing to an upright position). One
 
 
  
   
  
   
 
 
 
   
 
her ey te algae ad, and bokeh ap.
‘was admitted to the hospital for surgery, where she developed a unnary
) Siete 8
Moodaram hed ty Seeay de dent