1
00:00:00,640 --> 00:00:03,199
Philips is a health tech leader focused on

2
00:00:03,199 --> 00:00:06,000
innovation that improves the health and well-being of

3
00:00:06,000 --> 00:00:09,460
people. Our health care technology and informatics solutions

4
00:00:09,599 --> 00:00:12,559
help care teams diagnose, treat, and manage more

5
00:00:12,559 --> 00:00:16,244
patients with greater precision, speed, and confidence across

6
00:00:16,244 --> 00:00:19,225
the care journey. With Philips, clinicians are empowered

7
00:00:19,285 --> 00:00:21,765
with streamlined insights in the moments that matter

8
00:00:21,765 --> 00:00:24,904
for every patient. Better care for more people.

9
00:00:25,204 --> 00:00:25,704
Philips.

10
00:00:28,789 --> 00:00:30,949
This is Gracelyn Keller with the Becker's Healthcare

11
00:00:30,949 --> 00:00:33,109
Podcast, and we are live at the 9th

12
00:00:33,109 --> 00:00:36,409
annual health IT digital health and RCM conference.

13
00:00:36,710 --> 00:00:39,030
I'm currently joined by Matt Sullivan who is

14
00:00:39,030 --> 00:00:41,954
the chief medical information officer at Advocate Health.

15
00:00:42,195 --> 00:00:43,875
Matt, thanks for joining me this morning. Would

16
00:00:43,875 --> 00:00:45,554
love to have you start off by telling

17
00:00:45,554 --> 00:00:46,914
us a little bit more about yourself and

18
00:00:46,914 --> 00:00:47,575
your background.

19
00:00:48,195 --> 00:00:49,875
Great. Thanks for having me. My name is

20
00:00:49,875 --> 00:00:52,675
Matt Sullivan. I'm an emergency physician, by training

21
00:00:52,675 --> 00:00:54,435
and now the chief medical information officer at

22
00:00:54,435 --> 00:00:56,679
Advocate Health. I'm part of a large team

23
00:00:56,679 --> 00:00:59,399
of CMIOs that really work together to make

24
00:00:59,399 --> 00:01:00,460
our health care information

25
00:01:01,079 --> 00:01:03,079
really accessible to our docs and and to

26
00:01:03,079 --> 00:01:03,979
drive technology

27
00:01:04,439 --> 00:01:06,599
to our entire teams. I've been at the

28
00:01:06,599 --> 00:01:07,099
organization

29
00:01:07,480 --> 00:01:08,780
for 28 years,

30
00:01:09,079 --> 00:01:11,715
and I'm really excited about what's in front

31
00:01:11,715 --> 00:01:14,034
of us. As you know, Advocate Health is

32
00:01:14,034 --> 00:01:16,355
a combination of Advocate Aurora and Atrium Health.

33
00:01:16,355 --> 00:01:18,275
Over the last 2 to 3 years, we've

34
00:01:18,275 --> 00:01:20,275
completed our merger. I think we're now the

35
00:01:20,275 --> 00:01:22,454
2nd or third largest health care organization

36
00:01:23,250 --> 00:01:24,709
in the nation, and,

37
00:01:25,329 --> 00:01:27,829
that actually provides a very interesting

38
00:01:28,209 --> 00:01:28,870
set of

39
00:01:29,489 --> 00:01:31,909
circumstances to deal with as a large scale

40
00:01:32,049 --> 00:01:32,950
health care organization.

41
00:01:33,729 --> 00:01:35,489
Wonderful. Well, thanks for taking the time to

42
00:01:35,489 --> 00:01:37,489
be here. And I'd love to start our

43
00:01:37,489 --> 00:01:39,634
conversation today with AI adoption.

44
00:01:40,094 --> 00:01:41,935
So this is exploding in health care right

45
00:01:41,935 --> 00:01:44,094
now. In your view, what's the most significant

46
00:01:44,094 --> 00:01:46,814
or promising application of this? And how is

47
00:01:46,814 --> 00:01:49,634
this informing your organization's innovation strategy?

48
00:01:50,334 --> 00:01:52,109
I think AI has been a buzzword now

49
00:01:52,270 --> 00:01:54,370
for the last 2 years, and we've all

50
00:01:54,510 --> 00:01:56,989
been going to conferences and talking about it.

51
00:01:56,989 --> 00:01:58,689
But the real issue is

52
00:01:59,069 --> 00:02:01,230
what is it actually doing? And so I

53
00:02:01,230 --> 00:02:02,770
think the question is really apropos.

54
00:02:03,390 --> 00:02:05,685
I think right now in our environment, large

55
00:02:05,685 --> 00:02:07,765
language models are probably the number one thing

56
00:02:07,765 --> 00:02:09,544
where we're seeing some differentiation.

57
00:02:10,164 --> 00:02:12,485
We're seeing people have more efficiency in their

58
00:02:12,485 --> 00:02:12,985
jobs,

59
00:02:13,365 --> 00:02:15,784
more satisfaction in the work that they're doing

60
00:02:15,925 --> 00:02:16,664
in medicine,

61
00:02:17,284 --> 00:02:17,784
and

62
00:02:18,169 --> 00:02:19,949
I think that that is going to

63
00:02:20,409 --> 00:02:21,870
really define where we

64
00:02:22,569 --> 00:02:23,389
put our influence

65
00:02:23,689 --> 00:02:24,830
in the coming years.

66
00:02:25,289 --> 00:02:27,370
Unfortunately, it's very costly, so we have to

67
00:02:27,370 --> 00:02:28,349
really think about

68
00:02:28,810 --> 00:02:29,550
where that

69
00:02:30,009 --> 00:02:31,849
money is best spent in order to get

70
00:02:31,849 --> 00:02:32,509
the most

71
00:02:33,555 --> 00:02:35,094
bang for the buck, if you will.

72
00:02:36,275 --> 00:02:38,614
And switching gears a little bit to data.

73
00:02:38,995 --> 00:02:41,474
Currently, health care leaders are managing greater volumes

74
00:02:41,474 --> 00:02:43,715
of data and more devices across a growing

75
00:02:43,715 --> 00:02:44,935
number of care settings.

76
00:02:45,330 --> 00:02:47,330
This is a complex environment, so I'd love

77
00:02:47,330 --> 00:02:49,489
to hear what clinical data integration tools or

78
00:02:49,489 --> 00:02:52,870
practices you're seeing drive improvements in patient outcomes.

79
00:02:53,250 --> 00:02:55,330
And can you share a specific example of

80
00:02:55,330 --> 00:02:55,830
this?

81
00:02:56,530 --> 00:02:57,590
It's very difficult,

82
00:02:58,370 --> 00:02:59,269
given the

83
00:02:59,865 --> 00:03:01,625
the the basis of this question. We really

84
00:03:01,625 --> 00:03:03,865
do have an incredible amount of data that's

85
00:03:03,865 --> 00:03:04,764
at our fingertips.

86
00:03:05,064 --> 00:03:07,064
The question you've asked though is what what

87
00:03:07,064 --> 00:03:09,224
has it done to change outcomes? And that

88
00:03:09,224 --> 00:03:10,444
one is difficult.

89
00:03:11,305 --> 00:03:12,745
I think part of the things that we

90
00:03:12,745 --> 00:03:14,444
can really lean on

91
00:03:15,099 --> 00:03:15,919
is our screening.

92
00:03:16,379 --> 00:03:17,360
If we've done

93
00:03:17,740 --> 00:03:21,439
our job with screening for cancer and

94
00:03:21,900 --> 00:03:23,340
some of the things that are pretty bread

95
00:03:23,340 --> 00:03:25,099
and butter for medicine, then I think we

96
00:03:25,099 --> 00:03:27,419
can actually begin to change outcomes in health

97
00:03:27,419 --> 00:03:27,919
care.

98
00:03:28,284 --> 00:03:30,525
And that's gonna require data coming in and

99
00:03:30,525 --> 00:03:32,844
making sure that we have that aggregated in

100
00:03:32,844 --> 00:03:33,664
a way that

101
00:03:33,965 --> 00:03:35,724
our teams can see that, our health care

102
00:03:35,724 --> 00:03:36,224
teams.

103
00:03:36,604 --> 00:03:39,164
That that's everything from physicians to care managers,

104
00:03:39,164 --> 00:03:41,164
nurses. The the entire group really has to

105
00:03:41,164 --> 00:03:42,764
focus on that in order to make sure

106
00:03:42,764 --> 00:03:43,264
that

107
00:03:43,780 --> 00:03:45,000
they execute correctly.

108
00:03:46,099 --> 00:03:47,000
And with

109
00:03:47,379 --> 00:03:49,780
the adoption of AI, the greater volumes of

110
00:03:49,780 --> 00:03:52,360
data, our IT teams are becoming more burdened

111
00:03:52,500 --> 00:03:53,479
and more critical.

112
00:03:53,939 --> 00:03:55,400
So I'd love to hear

113
00:03:55,865 --> 00:03:58,105
how you think health care organizations can better

114
00:03:58,105 --> 00:04:00,665
support both the IT teams and our clinical

115
00:04:00,665 --> 00:04:03,465
teams as we carry out innovation efforts, and

116
00:04:03,465 --> 00:04:05,965
what are some common pitfalls that you've seen?

117
00:04:07,145 --> 00:04:09,219
Well, I think that I'm very fortunate to

118
00:04:09,219 --> 00:04:10,500
be part of a very large health care

119
00:04:10,500 --> 00:04:11,000
organization

120
00:04:11,379 --> 00:04:12,680
that is very supportive

121
00:04:12,980 --> 00:04:15,639
of IT and IT and the clinical applications.

122
00:04:16,259 --> 00:04:16,759
So

123
00:04:17,300 --> 00:04:18,980
I think one of the common pitfalls is

124
00:04:18,980 --> 00:04:20,819
we can't have everything. We have to actually

125
00:04:20,819 --> 00:04:22,785
sit down and do a rigorous evaluation of

126
00:04:22,865 --> 00:04:24,944
what really matters for health care, what really

127
00:04:24,944 --> 00:04:26,404
matters for patient outcomes,

128
00:04:26,865 --> 00:04:29,105
and and be willing to say no to

129
00:04:29,105 --> 00:04:31,185
some of the other things that, while while

130
00:04:31,185 --> 00:04:33,444
flashy and while while fun,

131
00:04:33,904 --> 00:04:36,004
may not actually drive outcomes and may not

132
00:04:36,144 --> 00:04:38,245
give us the improvements that we're looking for.

133
00:04:38,839 --> 00:04:40,379
And as we wrap up our conversation,

134
00:04:40,759 --> 00:04:42,520
I'd love to know what your top piece

135
00:04:42,520 --> 00:04:44,520
of advice for health care leaders is as

136
00:04:44,520 --> 00:04:47,480
they prepare for further advancements in technology and

137
00:04:47,480 --> 00:04:48,939
greater demands for care.

138
00:04:49,720 --> 00:04:50,779
I think we can

139
00:04:51,925 --> 00:04:52,425
anticipate

140
00:04:52,884 --> 00:04:55,125
more and more companies coming to us with

141
00:04:55,125 --> 00:04:56,485
more solutions. And so we'll

142
00:04:57,285 --> 00:04:58,725
my one piece of advice that I try

143
00:04:58,725 --> 00:05:01,544
to give to myself all the time is,

144
00:05:02,084 --> 00:05:04,004
is this gonna make a difference? How can

145
00:05:04,004 --> 00:05:05,845
we study whether this makes a difference? And

146
00:05:05,845 --> 00:05:06,824
how do we evaluate

147
00:05:07,370 --> 00:05:09,529
this new piece of technology with the rigor

148
00:05:09,529 --> 00:05:12,110
that's required to take better care of patients?

149
00:05:12,970 --> 00:05:14,810
Well, Matt, thank you so much for joining

150
00:05:14,810 --> 00:05:17,290
me today on the Becker's Healthcare Podcast. Again,

151
00:05:17,290 --> 00:05:19,770
we're live at the 9th Annual Health IT

152
00:05:19,770 --> 00:05:22,649
Digital Health and RCM Conference. Thanks for having

153
00:05:22,649 --> 00:05:23,149
me.