-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathstan.html
155 lines (153 loc) · 5.78 KB
/
stan.html
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
<!DOCTYPE html>
<html lang="en">
<!--Do you always read the comment section?-->
<head>
<meta charset="utf-8" />
<meta name="viewport" content="width=device-width, initial-scale=1" />
<link
href="https://cdn.jsdelivr.net/npm/bootstrap@5.0.1/dist/css/bootstrap.min.css"
rel="stylesheet"
integrity="sha384-+0n0xVW2eSR5OomGNYDnhzAbDsOXxcvSN1TPprVMTNDbiYZCxYbOOl7+AMvyTG2x"
crossorigin="anonymous"
/>
<link rel="stylesheet" href="style.css" />
</head>
<body>
<script
src="https://cdn.jsdelivr.net/npm/bootstrap@5.0.1/dist/js/bootstrap.bundle.min.js"
integrity="sha384-gtEjrD/SeCtmISkJkNUaaKMoLD0//ElJ19smozuHV6z3Iehds+3Ulb9Bn9Plx0x4"
crossorigin="anonymous"
></script>
<div class="home-header">
<a href="index.html">
<img
src="static/imgs/me_whiteboard.jpeg"
class="rounded-circle header-photo img-fluid"
alt="Mack Delany"
/>
</a>
<div class="header-titles">
<h1>STAN, Supportive Triage Assistant</h1>
</div>
</div>
<div class="body-text">
<p>
I founded STAN, a Supportive Triage Assistant which uses Machine
Learning to help triage emergency department patients. To date, STAN has
directly supported over 50,000 patients in New Zealand.
</p>
<p>
I'm progressively writing the STAN story up on this page. It's pretty
light on info right now so if you're hungry for more STAN content check
out:
<a href="https://www.stantriage.com">stantriage.com</a>
</p>
<img
src="static/imgs/stan_red_long.png"
alt="STAN Supportive Triage Assistant logo"
class="stan-header"
/>
<h3>Triage</h3>
<p>
Triage is the process of prioritising emergency department patients.
Emergency departments are unpredictable. Patients present with varying
acuity, urgency and complexity. Demand for emergency resources often
outweighs capacity meaning not all patients can be attended immediately.
</p>
<p>
So triage is super critical. <i><strong>But it's also hard!</strong></i>
</p>
<p>
Triage nurses make complex triage decisions in a short time period, and
should avoid being influenced by environmental biases i.e capacity of
the emergency department or the patients in the waiting room. Triage
nurses operate unsupported; they conduct triage alone, are typically
without electronic clinical support and are usually unable to ask for
second opinions from their colleagues.
</p>
<h3>STAN</h3>
<p>
STAN supports triage nurses with machine learning and encoded clinical
algorithm. For example, a nurse might triage the following patient:
</p>
<img
src="static/imgs/example_presentation_sepsis_vitals_ex.jpg"
class="img-fluid centre-image"
alt="Example triage presentation"
/>
<p>
After making a triage assessment, STAN would offer information to the
nurse in real time, something like the below:
</p>
<img
src="static/imgs/platform_sepsis_new.jpg"
class="img-fluid centre-image"
alt="Example STAN presentation"
/>
<h3>Does STAN positively impact triage?</h3>
<p>
We think so. Nurses regularly adjust their decision making due to STAN's
recommendations (around 25% of the time when STAN recommends an opposing
course of action).
</p>
<p>
In fact, a survey of 16 nurses using STAN at Nelson Marlborough District
Health Board found that:
</p>
<ul>
<li>88% of nurses thought STAN improved triage consistency</li>
<li>
100% of nurses thought STAN helped junior nurses triage more
appropriately
</li>
<li>
88% of nurses thought STAN improved recognition and uptake of clinical
pathways
</li>
<li>
The majority of nurses thought STAN helped with Sepsis identification
(88%), appropriate mental health triage (81%) and recognition of high
risk symptoms (69%)
</li>
</ul>
<p>
You can
<a href="./static/pdfs/stan_nmdhb_case_study.pdf" target="blank"
>check out the rest of the survey results here</a
>
</p>
<p>
We are in the midst of publishing research to further showcase how STAN
has helped support triage in New Zealand. So keep an eye out for this.
</p>
<h3>Is STAN a business or a research project?</h3>
<p>
We have decided not to pursue commercial use of STAN despite significant
interest from around New Zealand. The simple fact is that
(unfortunately) there are easier ways to make money than selling a niche
decision support tool to the public health sector of a tiny island
economy.
</p>
<p>
We have learnt a lot however, and do want to pay it forward. Keep an eye
out for our research and get in touch if you are working on decision
support tools and would like to chat: mackdelany [at] gmail.com
</p>
<br />
<br />
<p>
<i><strong>More from me...</strong></i
><br />
<a href="index.html">About me</a><br />
<a href="armicroscopy.html">Building an augmented reality microscope</a
><br />
<a href="mlexplainer.html">Machine learning explained in 6 minutes</a
><br />
<a href="mylifeinphotos.html">Random memory generator</a><br />
<a href="./static/pdfs/mack_delany_resume.pdf" target="blank">Resume</a
><br />
<a href="https://github.com/mackdelany" target="blank">GitHub</a><br />
</p>
</div>
</body>
</html>