00:00:04,500 --> 00:00:07,740
Lauren Arora Hutchinson: I'm
Lauren Aurora Hutchinson, and
2
00:00:07,740 --> 00:00:11,250
this is playing god? presents...
3
00:00:24,020 --> 00:00:27,560
Narrator: From the far horizons
of the unknown come tales of new
4
00:00:27,560 --> 00:00:32,780
dimensions in time and space.
These are stories of a future,
5
00:00:33,350 --> 00:00:36,485
adventures in which you'll live
in a million could be years on a
6
00:00:36,485 --> 00:00:45,005
thousand maybe worlds. iDeas Lab
Broadcasting presents... A World
7
00:00:45,245 --> 00:01:03,650
Without Nurses. Can you hear it?
The sound of a modern day
8
00:01:03,650 --> 00:01:08,900
hospital. A hospital of the
future, as the entrance banner
9
00:01:08,900 --> 00:01:15,590
reads. The floors are spotless.
The patients are smiling, and
10
00:01:15,590 --> 00:01:22,925
the wards are quiet, peaceful,
serene, all thanks, of course,
11
00:01:23,195 --> 00:01:30,095
to the powers of automation and
AI. It's a far cry from the
12
00:01:30,095 --> 00:01:43,550
sounds of not too long ago.
Those bygone days of chaos, when
13
00:01:43,550 --> 00:01:48,920
nurses roamed the halls then
primitive machines beeped and
14
00:01:48,920 --> 00:01:56,240
blared for all to hear. Yes,
it's amazing how far we've come
15
00:01:56,240 --> 00:02:01,700
so quickly, but few know the
story of how we got here. Fewer
16
00:02:01,700 --> 00:02:06,080
still appreciate the crisis that
precipitated this modern marvel.
17
00:02:06,575 --> 00:02:10,985
It's a story of under
appreciation, over reliance, and
18
00:02:11,015 --> 00:02:18,455
ultimately: human triumph. It's
a story that begins in a world
19
00:02:18,995 --> 00:02:22,685
once filled with nurses.
20
00:02:25,025 --> 00:02:27,665
Miss Johnston: Mom, Jimmy, keep
up now. We don't want to be late
21
00:02:27,665 --> 00:02:28,625
for our appointments.
22
00:02:30,695 --> 00:02:33,800
Nurse: Hello, and welcome to
True Life Hospital. You are
23
00:02:33,800 --> 00:02:34,100
Miss...?
24
00:02:34,130 --> 00:02:34,880
Miss Johnston: Miss Johnston.
25
00:02:34,880 --> 00:02:37,850
Nurse: Yes, Miss Johnston.
Wonderful. We spoke on the phone
26
00:02:37,850 --> 00:02:38,870
earlier this morning, yes?
27
00:02:38,870 --> 00:02:41,840
Miss Johnston: Yes, concerning
both my son Jimmy and my mother
28
00:02:41,840 --> 00:02:42,170
here.
29
00:02:42,170 --> 00:02:46,340
Nurse: That's right. Well, okay.
Nurse Jenny is ready in room
30
00:02:46,340 --> 00:02:49,130
three over there to take a look
at Jimmy's fever, and our
31
00:02:49,130 --> 00:02:52,310
respiratory specialist, Nurse
Aaron, is almost set for your
32
00:02:52,310 --> 00:02:55,655
mother's follow-up. And how are
you feeling today, Miss
33
00:02:55,655 --> 00:02:56,285
Johnston?
34
00:02:56,285 --> 00:02:58,595
Miss Johnston: Well, now that
you mention it, I've got a
35
00:02:58,595 --> 00:03:00,305
headache that just won't quit.
36
00:03:00,305 --> 00:03:03,725
Nurse: Oh dear, well, we'll need
a bit more information, but I'm
37
00:03:03,725 --> 00:03:06,455
sure our nursing staff can get
that cleared up right away.
38
00:03:06,455 --> 00:03:08,075
Miss Johnston: Wonderful, thank
you so much.
39
00:03:08,075 --> 00:03:10,145
Nurse: Not at all. Please just
take a seat, and we'll be with
40
00:03:10,145 --> 00:03:13,805
you all momentarily.
41
00:03:13,860 --> 00:03:16,080
Narrator: Yes, it was a
beautiful thing, you might say.
42
00:03:16,920 --> 00:03:20,250
Teams of nurses at the ready,
prepared to help heal whoever
43
00:03:20,370 --> 00:03:21,410
walked through their doors.
44
00:03:24,440 --> 00:03:26,870
Archive: If you really want to
be a nurse, you should have a
45
00:03:26,960 --> 00:03:30,740
spirit of service and a sincere
interest in human beings of all
46
00:03:30,800 --> 00:03:34,700
classes and kinds. People will
depend on you. People will
47
00:03:34,790 --> 00:03:35,450
confide in you.
48
00:03:36,530 --> 00:03:39,800
Narrator: They tended to the
sick, aided the frail, and
49
00:03:39,860 --> 00:03:43,360
while, yes, you could say that
this sort of thing is as old as
50
00:03:43,390 --> 00:03:44,350
humanity itself.
51
00:03:44,740 --> 00:03:47,830
Cynda Rushton: I mean, there's
always been in all communities
52
00:03:48,340 --> 00:03:53,140
healers, people who know how to
manage the human experience.
53
00:03:53,480 --> 00:03:56,330
Narrator: As Cynda Rushton,
nurse and professor of nursing
54
00:03:56,330 --> 00:03:57,860
at Johns Hopkins, tells it...
55
00:03:57,660 --> 00:04:01,350
Cynda Rushton: It was really
during the Crimean War that the
56
00:04:01,350 --> 00:04:07,260
profession and the practice of
nursing was created...
57
00:04:07,260 --> 00:04:12,540
Narrator: The year was 1853 and
as the battles raged, flocks of
58
00:04:12,540 --> 00:04:17,280
nurses descended upon the front
lines, nurses like Mary Seacole
59
00:04:17,280 --> 00:04:20,460
from Jamaica and Florence
Nightingale from Britain.
60
00:04:21,390 --> 00:04:23,715
Cynda Rushton: ...to take care
of the soldiers...
61
00:04:23,715 --> 00:04:26,085
Narrator: Mary pulled them off
the battlefield and bandaged
62
00:04:26,085 --> 00:04:29,505
their wounds, while Florence
tracked their treatments and
63
00:04:29,505 --> 00:04:31,005
outcomes.
64
00:04:31,005 --> 00:04:34,725
Cynda: ...and through that
experience really noticed a lot
65
00:04:34,725 --> 00:04:36,045
of patterns,
66
00:04:36,045 --> 00:04:38,385
Narrator: like the fact that
more soldiers were dying of
67
00:04:38,385 --> 00:04:43,065
illness than injury, and she
thought to herself, there's got
68
00:04:43,065 --> 00:04:45,480
to be a better way to do this.
69
00:04:45,480 --> 00:04:48,360
Cynda Rushton: And, we often
say, you know, you got a
70
00:04:48,360 --> 00:04:53,340
problem, give it to a nurse,
because we'll figure it out.
71
00:04:53,330 --> 00:04:56,810
Narrator: And over the years
that followed, Florence did just
72
00:04:56,810 --> 00:05:00,920
that. She formalized the basics,
requiring hand washing and
73
00:05:00,920 --> 00:05:05,180
changing bedding. She defined
the nurse's role as patient
74
00:05:05,180 --> 00:05:09,500
monitor and advocate. She even
established the first modern
75
00:05:09,500 --> 00:05:10,730
nursing curriculum.
76
00:05:10,755 --> 00:05:13,965
Archive: Aided by the medical
staff who contribute by lectures
77
00:05:13,965 --> 00:05:15,345
and demonstrations.
78
00:05:15,345 --> 00:05:22,185
Narrator: And as this burgeoning
field grew and grew and grew the
79
00:05:22,185 --> 00:05:27,195
demand for specialized nursing
skills grew with it.
80
00:05:27,195 --> 00:05:30,540
Cynda Rushton: Because you got
to realize that alongside
81
00:05:30,540 --> 00:05:31,080
this...
82
00:05:31,170 --> 00:05:33,750
Archive: It is now possible to
make x-ray pictures.
83
00:05:33,870 --> 00:05:37,350
Cynda Rushton: ...there were
advances in surgery, advances in
84
00:05:37,390 --> 00:05:40,240
Archive: the electrocardiogram,
respirators, blood transfusion
85
00:05:40,240 --> 00:05:40,810
service,
86
00:05:40,810 --> 00:05:43,900
Cynda Rushton: advances in
treatment of all kinds of
87
00:05:43,900 --> 00:05:45,190
infectious diseases.
88
00:05:45,190 --> 00:05:47,500
Archive: The healing power of
penicillin, enables the
89
00:05:47,500 --> 00:05:47,770
patient...
90
00:05:47,770 --> 00:05:51,130
Cynda Rushton: So nursing
practice had to keep pace with
91
00:05:51,130 --> 00:05:52,690
the technology.
92
00:05:52,690 --> 00:05:54,970
Narrator: Nurses developed a
revolutionary treatment for
93
00:05:54,970 --> 00:05:59,950
polio, discovered a life-saving
fix for jaundice. In fact, by
94
00:05:59,950 --> 00:06:01,540
the 1950s...
95
00:06:01,540 --> 00:06:03,715
Nurse: Thank you for your
patience, Miss Johnston.
96
00:06:03,715 --> 00:06:05,965
Narrator: ...around the time
Miss Johnston showed up with her
97
00:06:05,965 --> 00:06:07,255
family at the hospital...
98
00:06:07,255 --> 00:06:09,535
Nurse: No problem, no rush at
all.
99
00:06:09,535 --> 00:06:12,505
Narrator: ...there were as many
types of nurses as there were
100
00:06:12,505 --> 00:06:15,055
flavors at the soda fountain.
101
00:06:15,055 --> 00:06:18,625
Archive: Staff nurses guard and
care for the sick on the wards.
102
00:06:18,625 --> 00:06:22,375
Nurses in the operating rooms
give emergency nursing service,
103
00:06:22,375 --> 00:06:25,540
and the private duty nurse goes
ready to fit in wherever the
104
00:06:25,540 --> 00:06:27,040
patient may be.
105
00:06:27,040 --> 00:06:30,460
Narrator: Yes, in a mere century
the field had gone from an
106
00:06:30,460 --> 00:06:35,740
afterthought to a systematized
scientific and structured field,
107
00:06:35,740 --> 00:06:41,500
improving outcomes for everyone
involved, but while on the
108
00:06:41,500 --> 00:06:46,390
surface things looked wonderful,
just below the crisis at the
109
00:06:46,390 --> 00:06:50,275
heart of our story was brewing,
gaining strength like a
110
00:06:50,305 --> 00:06:52,045
hurricane cresting the horizon.
111
00:06:54,445 --> 00:06:59,845
Archive: The lights on the
hospital call board flash faster
112
00:06:59,845 --> 00:07:05,035
today than they can be answered.
Each one is a distress signal
113
00:07:05,035 --> 00:07:13,120
sent to thousands of nurses who
aren't there, who don't exist.
114
00:07:13,120 --> 00:07:15,340
Narrator: There simply weren't
enough nurses.
115
00:07:15,340 --> 00:07:18,790
Cynda: We had a shortage, yes,
because there weren't enough
116
00:07:18,790 --> 00:07:23,020
schools of nursing to meet the
demand, and so there was, there
117
00:07:23,020 --> 00:07:28,060
was a push for many, many years
to increase the number of
118
00:07:28,060 --> 00:07:32,995
training programs, but focusing
on the supply problem alone is
119
00:07:32,995 --> 00:07:38,425
insufficient, because we were
also just not providing that
120
00:07:38,425 --> 00:07:42,985
kind of environment that enabled
nurses to do what they were
121
00:07:42,985 --> 00:07:49,555
trained to do. There was a lack
of support.
122
00:07:49,660 --> 00:07:53,440
Narrator: This was the root of
our crisis, and yet we left it
123
00:07:53,590 --> 00:07:59,080
untreated. And so, like a wound
covered only with gauze, it
124
00:07:59,140 --> 00:08:05,520
spread, it festered quietly
under the bandage until the
125
00:08:05,760 --> 00:08:09,420
early 21st century, when the
crisis could no longer be
126
00:08:09,540 --> 00:08:10,020
denied.
127
00:08:11,870 --> 00:08:14,450
Reporters: Hospitals across the
country are facing a nursing
128
00:08:14,450 --> 00:08:17,960
shortage. Florida is feeling the
impacts of a nursing shortage,
129
00:08:17,960 --> 00:08:21,050
with... The number of nurses not
keeping up with the demand.
130
00:08:21,050 --> 00:08:25,010
60,000 positions will be left
empty. Burnout and fatigue are
131
00:08:25,010 --> 00:08:31,370
pervasive. The largest nurses'
strike in the city's history. If
132
00:08:31,370 --> 00:08:34,970
something isn't done to stem the
tide, this could plunge us into
133
00:08:35,015 --> 00:08:38,315
a health care crisis of huge
proportions.
134
00:08:41,600 --> 00:08:44,800
Narrator: To meet the moment,
hospital administrators did what
135
00:08:44,830 --> 00:08:56,200
they could. They unveiled a
series of primitive automated
136
00:08:56,290 --> 00:08:56,830
systems.
137
00:09:00,370 --> 00:09:02,220
Automated Speaker: Thank you for
calling True Life Hospital,
138
00:09:02,670 --> 00:09:06,150
where customer service is our
number one priority. We're
139
00:09:06,210 --> 00:09:08,970
excited to provide you with our
automated over the phone
140
00:09:09,030 --> 00:09:12,870
diagnostic service. Are you
calling on behalf of yourself or
141
00:09:12,960 --> 00:09:17,910
someone else? Press one for
yourself, press two for someone
142
00:09:18,000 --> 00:09:21,020
else. Thank you. Please hold.
143
00:09:26,960 --> 00:09:31,340
Narrator: Yes, gone were human
nurses picking up the phone, but
144
00:09:31,340 --> 00:09:35,600
the price of their replacement
was right and proved almost as
145
00:09:35,780 --> 00:09:37,070
caring and capable.
146
00:09:37,480 --> 00:09:39,130
Automated Speaker: Is the issue
you're calling about above the
147
00:09:39,130 --> 00:09:44,680
torso or below the torso? Press
one for above or two for below.
148
00:09:44,680 --> 00:09:48,340
You've selected above the torso.
Is the issue you're calling
149
00:09:48,340 --> 00:09:52,750
about today pain related? If so,
rate the pain by entering the
150
00:09:52,750 --> 00:09:57,310
number corresponding with the
pain, nine being the highest. If
151
00:09:57,310 --> 00:10:00,970
you are not in pain, press
pound. You have entered an
152
00:10:01,000 --> 00:10:02,680
unrecognized response.
153
00:10:02,890 --> 00:10:05,635
Narrator: Getting a diagnosis
could take a bit longer over the
154
00:10:05,635 --> 00:10:12,265
phone, sure, and the experience
lacked that human touch...
155
00:10:12,265 --> 00:10:12,445
Automated Speaker: Goodbye.
156
00:10:12,445 --> 00:10:17,845
Narrator: ...but the higher ups
were happy. This was the new way
157
00:10:17,845 --> 00:10:21,415
of the world, they declared
proudly. More automation, more
158
00:10:21,415 --> 00:10:25,600
intelligent systems, fewer
humans in the loop. It was
159
00:10:25,600 --> 00:10:31,930
imperfect, they'd admit, but you
can't fight the future. There
160
00:10:31,930 --> 00:10:35,080
was, however, a problem.
161
00:10:35,120 --> 00:10:36,650
Sterling A. Wilmer: You love
this field, and you love your
162
00:10:36,650 --> 00:10:46,070
patients, and so just being able
to be in this space and just
163
00:10:46,565 --> 00:10:49,865
show them kindness and care and
compassion and continue to have
164
00:10:49,865 --> 00:10:52,205
the privilege to care for them
and their families.
165
00:10:52,165 --> 00:10:53,875
Narrator: The nurses that
remained.
166
00:10:54,240 --> 00:10:56,580
Diane Couchman: There's a reason
nursing is the most trusted
167
00:10:56,580 --> 00:11:00,900
profession. People who are drawn
to it really do care, they're
168
00:11:00,900 --> 00:11:03,870
committed to both the science
and the understanding and the
169
00:11:03,870 --> 00:11:06,960
lifelong learning, but they're
also committed to the
170
00:11:06,960 --> 00:11:09,090
compassion.
171
00:11:09,000 --> 00:11:12,510
Narrator: Brought up in an old
world way of doing things, they
172
00:11:12,510 --> 00:11:15,900
believe there was something
about being human themselves
173
00:11:15,900 --> 00:11:23,550
that helped them do their job.
174
00:11:23,550 --> 00:11:25,320
Sharon A. Adamski: I've been at
the beginning of life, and I've
175
00:11:25,320 --> 00:11:30,360
been at the end of life, and,
you know, there's there's times
176
00:11:30,360 --> 00:11:32,685
when sometimes we're the only
person there.
177
00:11:38,085 --> 00:11:42,525
Narrator: And empathy, in
particular, many said, was
178
00:11:42,525 --> 00:11:45,765
vital.
179
00:11:43,280 --> 00:11:47,459
Tamara Hill: Wow, so this is
very personal for me. I was a
180
00:11:45,000 --> 00:12:23,355
Tyler Silvey: I'll
181
00:11:47,552 --> 00:11:53,495
new nurse here in the PICU, and
my daughter was two, and I was a
182
00:11:53,588 --> 00:11:59,068
single mom, and she was helping
out in the kitchen, and she
183
00:11:59,161 --> 00:12:04,919
tilted a pot of water. She loved
macaroni. And, a pot of water
184
00:12:05,012 --> 00:12:10,770
fell on her arm, and I grabbed
her and put her on the bathtub,
185
00:12:10,863 --> 00:12:16,435
and ran cold water, and I called
911, and she recovered, but
186
00:12:16,528 --> 00:12:21,822
there's still a significant
scar. So, having to live with
187
00:12:21,915 --> 00:12:27,208
that blame and the shame of
it... And when I came back to
188
00:12:23,000 --> 00:13:09,530
Caitlin McGeehan: had
talk to
189
00:12:27,301 --> 00:12:32,873
work, I always avoided burn
patients, because I just thought
190
00:12:32,966 --> 00:12:38,632
I wasn't going to be able to do
that. And one night, we had a
191
00:12:38,724 --> 00:12:42,904
patient come in, a
three-year-old burn and my
192
00:12:42,997 --> 00:12:48,476
church nurse said, I know what
you've been through, but the
193
00:12:48,569 --> 00:12:54,141
best way for you to get through
is you're gonna have to take
194
00:12:54,234 --> 00:12:59,714
this assignment. And, I said,
give me five minutes before I
195
00:12:55,235 --> 00:13:57,260
Lauren Geiling: I like to
describe my shift as
196
00:12:59,807 --> 00:13:05,286
can take this assignment. And I
went to the bathroom, and I
197
00:13:05,379 --> 00:13:10,394
prayed, and I took the
assignment, and it was probably
198
00:13:09,530 --> 00:13:12,890
Cynda Rushton: and they were
frustrated about having to be
199
00:13:10,487 --> 00:13:16,152
the most challenging, but best
experience to be able to share
200
00:13:12,890 --> 00:13:19,250
sheltered at home, where they
had to have masks and all these
201
00:13:16,245 --> 00:13:22,096
with the family my experience,
and let them know everything was
202
00:13:19,250 --> 00:13:26,810
constraints on their own
decision making, and they come
203
00:13:22,189 --> 00:13:27,018
going to be okay... to be on
that journey with them,
204
00:13:26,840 --> 00:18:07,970
into a hospital, and who gets
the brunt of that is the nurse.
205
00:13:27,111 --> 00:13:32,033
something that I had to
experience personally and was
206
00:13:32,126 --> 00:13:34,820
having to still deal with it.
207
00:18:08,020 --> 00:18:10,870
Reporters: Tonight, a nurse is
fighting for her life after she
208
00:18:10,870 --> 00:18:14,170
was brutally attacked by a
patient at Palms West Hospital
209
00:18:14,170 --> 00:18:15,310
in Loxahatchee. Yeah, she was...
210
00:18:15,970 --> 00:18:20,680
Cynda Rushton: Violence against
nurses escalated to really
211
00:18:20,680 --> 00:18:29,470
alarming levels, and what I
began to hear from nurses was,
212
00:18:29,470 --> 00:18:35,125
you know, the reason I'm here is
my patients. When our patients
213
00:18:35,125 --> 00:18:44,185
turn against us, what is left?
214
00:18:44,185 --> 00:18:48,295
Narrator: It was bad news for
all. Longtime nurses retired
215
00:18:48,295 --> 00:18:51,265
from the field. Up and coming
nurses left jobs or the
216
00:18:51,265 --> 00:18:55,690
profession entirely. Patients
became more frustrated, and
217
00:18:55,690 --> 00:19:02,770
hospital administrators had no
easy answers, but then...
218
00:19:02,920 --> 00:19:07,690
Tech Announcer: Hello Silicon
Valley, make some noise.
219
00:19:07,810 --> 00:19:10,090
Narrator: ...a technological
solution was found.
220
00:19:10,000 --> 00:19:12,340
Tech Announcer: Thank you,
everyone, for being here on this
221
00:19:12,340 --> 00:19:16,150
exciting, historic day. After
years of development and
222
00:19:16,150 --> 00:19:19,540
research, we here at Med
Robotics are finally ready to
223
00:19:19,540 --> 00:19:26,140
unveil to the world our
hospital-ready Mark 3 Nurse Bot.
224
00:19:26,140 --> 00:19:30,340
With its humanoid design, the
Mark 3 Nurse Bot does everything
225
00:19:30,340 --> 00:19:34,405
you could ask for. It delivers
medication, cleans up messes.
226
00:19:34,405 --> 00:19:37,825
Best of all, it doesn't need to
sleep or eat or receive a
227
00:19:37,825 --> 00:19:41,155
paycheck. Say hello to your
adoring fans, Mark.
228
00:19:41,155 --> 00:19:44,635
Mark 3 Nurse Bot: Hello, I am
here, excited and ready to help
229
00:19:44,635 --> 00:19:46,285
you.
230
00:19:46,285 --> 00:19:52,885
Tech Announcer: Alright!
231
00:19:52,885 --> 00:19:56,530
Narrator: Yes, not long after
the pandemic subsided, Med
232
00:19:56,530 --> 00:20:00,610
Robotics released its miraculous
nurse bot. It looked like a
233
00:20:00,610 --> 00:20:04,510
human, sounded like one too, and
while the medical industry could
234
00:20:04,510 --> 00:20:08,200
finally breathe a sigh of
relief, some, like Cynda
235
00:20:08,200 --> 00:20:10,090
Rushton, remain skeptical.
236
00:20:10,000 --> 00:20:14,080
Cynda Rushton: If we were able
to use technology in its right
237
00:20:14,080 --> 00:20:20,590
relationship to nursing
practice, what we could see is
238
00:20:20,590 --> 00:20:27,040
nurses being able to spend the
time with their patients: being
239
00:20:27,040 --> 00:20:32,890
able to educate them, guide
them, advocate for them, the
240
00:20:32,890 --> 00:20:39,265
parts that really nurses are the
best at. That would be my most
241
00:20:39,265 --> 00:20:47,635
hopeful view. What I worry might
happen is that organizations
242
00:20:47,635 --> 00:20:52,855
take a replacement view. They
say, okay, we can get rid of
243
00:20:52,855 --> 00:21:10,660
half of these nurses, and we can
get robots in their place. I
244
00:21:10,660 --> 00:21:25,540
want nurses to be able to do
what they do. You know, when
245
00:21:25,585 --> 00:21:33,655
you see the difference you make,
you know, with people when
246
00:21:33,655 --> 00:21:40,375
they're at their most
vulnerable... I don't think a
247
00:21:40,375 --> 00:21:42,055
robot could do that.
248
00:21:46,980 --> 00:21:52,410
Caitlin McGeehan: At some point,
you know, our bodies betray us,
249
00:21:52,410 --> 00:22:01,590
and we are vulnerable to death.
Nurses have that distinct
250
00:22:01,590 --> 00:22:08,175
privilege to help people become
more comfortable with what it is
251
00:22:08,175 --> 00:22:10,005
to be a human being.
252
00:22:12,705 --> 00:22:21,015
Cynda Rushton: And, if we didn't
have that, that kind of care,
253
00:22:21,015 --> 00:22:28,185
that kind of competence, that
kind of compassion... I'm not
254
00:22:28,185 --> 00:22:30,270
sure what kind of world we'd
have.
255
00:22:37,710 --> 00:22:40,950
Archive: The lights on the
hospital call board flash faster
256
00:22:40,950 --> 00:22:43,350
today than they can be answered.
People will depend on you.
257
00:22:43,710 --> 00:22:47,370
People will confide in you. An
attack on nurses at St. John's
258
00:22:47,370 --> 00:22:50,400
Hospital. If something isn't
done, this could plunge us into
259
00:22:50,400 --> 00:22:53,685
a health care crisis of huge
proportions.
260
00:23:04,280 --> 00:23:06,620
Narrator: As we now know, the
world of today is one of
261
00:23:06,620 --> 00:23:11,390
efficiency and precision. It's a
world of automated excellence.
262
00:23:11,390 --> 00:23:15,980
It's a world without nurses. And
while we owe a debt of gratitude
263
00:23:16,025 --> 00:23:19,865
to Florence Nightingale, Mary
Seacole, Cynda Rushton, and all
264
00:23:19,865 --> 00:23:27,005
the nurses that worked alongside
them, a word of caution: don't
265
00:23:27,005 --> 00:23:31,805
romanticize the past. Don't pine
nostalgic for the way things
266
00:23:31,805 --> 00:23:37,175
were. Time is a train locked to
its tracks. You've got to get on
267
00:23:37,175 --> 00:23:41,180
board, and you'd best keep all
your limbs safely inside the
268
00:23:41,450 --> 00:23:47,150
vehicle, because while today is
wonderful, tomorrow will be even
269
00:23:47,150 --> 00:23:57,170
better. That is, if you help
make it so. Thank you, and good
270
00:23:57,170 --> 00:24:05,285
night. A World Without Nurses is
an iDeas Lab original
271
00:24:05,285 --> 00:24:09,215
production. It was written and
produced by Simon Adler. The
272
00:24:09,215 --> 00:24:12,665
executive producers were Lauren
Aurora Hutchinson and Tony
273
00:24:12,665 --> 00:24:17,195
Phillips. It was mixed by Alex
Overington. A World Without
274
00:24:17,195 --> 00:24:21,065
Nurses was produced in
association with Maryland's R3
275
00:24:21,065 --> 00:24:25,205
Resilient Nurses Initiative led
by Dr. Cynda Rushton and
276
00:24:25,205 --> 00:24:28,760
supported by the Nurse Support
Program Two grant administered
277
00:24:28,760 --> 00:24:32,120
by the Maryland Higher Education
Commission and funded through
278
00:24:32,120 --> 00:24:36,230
the Health Services Cost Review
Commission. Our nurses were
279
00:24:36,230 --> 00:24:40,250
Nurses: Sterling Wilmer, Diane
Couchman, Sharon Adamski, Tamara
280
00:24:40,250 --> 00:24:44,930
Hill, Rachel Robinson, Tyler
Sylvie, Lauren Geiling, Caitlin
281
00:24:44,930 --> 00:24:47,390
McGann, Daniel McCamey.
282
00:24:47,390 --> 00:24:50,075
Narrator: The producers for the
iDeas Lab at the Berman
283
00:24:50,075 --> 00:24:54,635
Institute of Bioethics at Johns
Hopkins University include Lyric
284
00:24:54,635 --> 00:24:59,135
Bowdich, Kim Buikema, and Axel
Kacoutié. Our production
285
00:24:59,135 --> 00:25:02,735
assistant is Brian Ricker, and
our production administrator is
286
00:25:02,735 --> 00:25:11,105
Leah Lord.