1
00:00:00,120 --> 00:00:00,780
<Silence> Hi everyone,

2
00:00:00,780 --> 00:00:03,680
and thank you for tuning into the
Becker's Healthcare podcast series.

3
00:00:04,300 --> 00:00:08,040
I'm Brian Zerman, a v p client Content
Strategy with Becker's Healthcare.

4
00:00:08,780 --> 00:00:11,050
Today I'm pleased to be
joined by Lance Maha,

5
00:00:11,430 --> 00:00:15,250
senior director of Industry Marketing
healthcare principal at RingCentral.

6
00:00:16,010 --> 00:00:17,890
Lance, it's great to get a
chance to speak with you again.

7
00:00:19,170 --> 00:00:20,910
Hey, thanks, Brian. It's great to be back.

8
00:00:22,160 --> 00:00:24,220
So, so let's dive right in here. Um, for,

9
00:00:24,220 --> 00:00:27,780
for folks that maybe haven't heard
you on the podcast before, can,

10
00:00:27,840 --> 00:00:31,100
can you just get us started by, by
sharing a bit about yourself, your role,

11
00:00:31,130 --> 00:00:32,700
your organization, that sort of thing?

12
00:00:34,360 --> 00:00:35,193
Absolutely.

13
00:00:35,310 --> 00:00:39,560
I've led healthcare industry
practices at four major

14
00:00:40,040 --> 00:00:41,680
communications focused vendors.

15
00:00:41,940 --> 00:00:46,880
So I focus on where communications
and collaboration solutions can have

16
00:00:46,880 --> 00:00:50,720
a direct and positive impact and
improve health service delivery,

17
00:00:50,980 --> 00:00:53,960
and most importantly, improve
the overall patient experience.

18
00:00:54,470 --> 00:00:58,920
Then currently as a leader within
RingCentral's healthcare practice,

19
00:00:59,520 --> 00:01:04,080
I work to really establish
our cloud-based communications

20
00:01:04,560 --> 00:01:09,280
platform in the industry as
it continues to pivot and

21
00:01:09,310 --> 00:01:10,680
digitally transform.

22
00:01:11,720 --> 00:01:16,640
I also work directly with our industry
solutions product management teams

23
00:01:16,780 --> 00:01:20,880
to make sure that the voice of the
customer is being heard loud and clear in

24
00:01:20,880 --> 00:01:24,680
healthcare as we take new solutions
to market. They also spend, uh,

25
00:01:24,680 --> 00:01:29,000
quite a bit of time on go to market and
also working on sales enablement with

26
00:01:29,000 --> 00:01:30,720
our national sales team as well.

27
00:01:32,240 --> 00:01:35,680
Excellent. Well, well thank you for
walking us through that background. Uh,

28
00:01:35,800 --> 00:01:38,640
I wanna start here with
a, a question about,

29
00:01:38,640 --> 00:01:42,840
about how technology is transforming
dentistry and obviously the voice of the

30
00:01:42,840 --> 00:01:45,240
patient is something you really,
you really care about, and,

31
00:01:45,340 --> 00:01:47,840
and I think technology is
transforming in dentistry,

32
00:01:47,840 --> 00:01:52,040
at least everything from procedures
to, to advancing patient centricity.

33
00:01:52,580 --> 00:01:54,760
So in your own work, what
are some of the, the,

34
00:01:54,780 --> 00:01:57,600
the top trends or innovations
that B s O leaders,

35
00:01:57,600 --> 00:01:59,880
dental practice leaders
are embracing today?

36
00:02:00,840 --> 00:02:01,170
Yeah,

37
00:02:01,170 --> 00:02:05,890
I think I'd start by just letting
everyone know that the six largest dental

38
00:02:05,890 --> 00:02:09,010
service organizations in the
country are RingCentral clients,

39
00:02:09,830 --> 00:02:14,490
and I think they represent a big shift
in this particular delivery environment.

40
00:02:14,990 --> 00:02:16,490
So what they've done is they've,

41
00:02:16,490 --> 00:02:21,090
they've all transitioned their
legacy communications to the

42
00:02:21,400 --> 00:02:25,570
centralized cloud-based service
model that RingCentral delivers,

43
00:02:26,270 --> 00:02:30,930
and they're able to do this so they
can scale patient engagement across

44
00:02:30,940 --> 00:02:35,570
their, their national
network of practices. And
collectively across these six,

45
00:02:35,680 --> 00:02:38,250
it's over 5,000 clinics.

46
00:02:38,430 --> 00:02:43,130
So this also lets each
of the individual DSOs

47
00:02:43,750 --> 00:02:47,170
manage their networks from
a single d s O location,

48
00:02:47,510 --> 00:02:52,170
but they're also able to dramatically
scale patient engagement across these

49
00:02:52,170 --> 00:02:53,003
networks.

50
00:02:53,600 --> 00:02:57,930
This also allows them to achieve
system and also cost center management

51
00:02:58,290 --> 00:03:00,560
standardization. And
this, this creates the,

52
00:03:00,580 --> 00:03:05,280
the type of e economies of scale
and operational savings that these

53
00:03:05,280 --> 00:03:09,800
large organizations with extremely
large distributed locations are,

54
00:03:09,860 --> 00:03:10,693
are looking for.

55
00:03:10,940 --> 00:03:15,160
And that's why pivoting to the
cloud is a big part of digital

56
00:03:15,340 --> 00:03:18,000
transformation and innovation
in healthcare today.

57
00:03:20,020 --> 00:03:23,310
Yeah, such a great point. Uh, uh,
getting to that, that level of scale,

58
00:03:23,630 --> 00:03:28,550
I imagine the cloud is just such like
a essential component of that. Um,

59
00:03:28,690 --> 00:03:32,190
can can you talk a little bit about why
I am curious that that is Lance and then

60
00:03:32,280 --> 00:03:35,710
wanna move to a, to a separate question
about, about artificial intelligence,

61
00:03:35,710 --> 00:03:40,630
which is of course a big hot topic,
but, um, a a any additional insights to,

62
00:03:40,630 --> 00:03:42,230
to why the cloud is so important here?

63
00:03:43,060 --> 00:03:45,950
Well, I think DSOs are
a perfect example. Uh,

64
00:03:45,950 --> 00:03:50,150
they're experiencing a lot of
growth and also consolidation.

65
00:03:50,410 --> 00:03:53,390
So as they continue to
grow their networks,

66
00:03:53,570 --> 00:03:57,950
as they continue to bring
additional practitioners

67
00:03:58,300 --> 00:04:00,310
into their D S O umbrella,

68
00:04:01,090 --> 00:04:05,510
it creates a urgency around
getting those new locations

69
00:04:06,300 --> 00:04:11,190
into their standardized environment.
And with traditional technology,

70
00:04:11,260 --> 00:04:12,950
it's extremely hard, uh,

71
00:04:12,970 --> 00:04:17,550
to get all those front and back
office systems online up and running

72
00:04:17,810 --> 00:04:21,990
and keep those newly acquired locations
and those practitioners focused on

73
00:04:21,990 --> 00:04:24,790
delivering excellent dental patient care.

74
00:04:25,010 --> 00:04:27,990
So that's a big reason why
we've been so successful,

75
00:04:28,290 --> 00:04:32,070
and that's why this type of
centralized management across

76
00:04:33,200 --> 00:04:36,870
agile site additions
across a national scope is,

77
00:04:37,010 --> 00:04:40,190
is such a great value and immediate, uh,

78
00:04:40,190 --> 00:04:43,870
benefit to DSOs when they pivot
their communications to the cloud.

79
00:04:45,600 --> 00:04:48,980
Uh, appreciate those additional
details there lads. Uh, so,

80
00:04:49,000 --> 00:04:52,660
so let's get to artificial
intelligence now, which is, uh,

81
00:04:52,680 --> 00:04:56,260
of course AI's increasingly present
in dentistry like, you know,

82
00:04:56,260 --> 00:04:57,900
much of the healthcare industry is now.

83
00:04:58,360 --> 00:05:02,340
Can can you talk a little bit about what
areas you think dental practices DSOs

84
00:05:02,340 --> 00:05:06,300
can really leverage this technology
and also ahead of implementation, uh,

85
00:05:06,300 --> 00:05:08,060
integrating AI-based solutions?

86
00:05:08,650 --> 00:05:13,420
What are some key considerations leaders
should think about that that might be

87
00:05:13,420 --> 00:05:14,380
going overlooked out there?

88
00:05:15,310 --> 00:05:18,680
Yeah, I think as we discuss
ai, it's important to put, uh,

89
00:05:18,870 --> 00:05:22,360
some framework around it in terms
of its own evolution in healthcare.

90
00:05:22,540 --> 00:05:25,640
So of course, AI is supporting
our D S L clients today,

91
00:05:26,420 --> 00:05:29,560
and the scope of its
use continues to grow.

92
00:05:30,500 --> 00:05:33,360
If we focus on the real
first wave of ai, um,

93
00:05:33,460 --> 00:05:35,560
within a communications framework,

94
00:05:35,940 --> 00:05:40,720
it was focused on supporting more
patient directed service requests,

95
00:05:40,720 --> 00:05:43,840
like scheduling, billing
inquiries, med refills,

96
00:05:43,840 --> 00:05:45,840
and these types of activities.

97
00:05:46,460 --> 00:05:51,320
And these tasks largely now can
be fulfilled via AI chatbots

98
00:05:51,460 --> 00:05:56,200
or voice authentication and
response inputs. This has, uh,

99
00:05:56,340 --> 00:05:57,000
become a really,

100
00:05:57,000 --> 00:06:01,680
really popular approach to meeting a
higher patient demand for self-directed

101
00:06:01,730 --> 00:06:02,563
engagement,

102
00:06:02,900 --> 00:06:07,880
but it's also very valuable to help
augment or even possibly replace

103
00:06:07,910 --> 00:06:10,280
traditional and static, uh,

104
00:06:10,280 --> 00:06:15,040
what we refer to as interactive
revoice or I v r front end menus

105
00:06:15,540 --> 00:06:19,920
or common auto attendant
tools that sometimes are
pretty fixed and have limited

106
00:06:20,070 --> 00:06:22,880
options. And then finally,
I would just add, uh,

107
00:06:23,220 --> 00:06:26,160
AI is also commonly utilized to,

108
00:06:26,380 --> 00:06:30,600
to route these new digital patient
messages that are generated

109
00:06:30,980 --> 00:06:35,560
during an initial chat bot interaction
between the patient and their

110
00:06:35,560 --> 00:06:40,480
practitioner. So what happens
is, is the ai, uh, digitally, uh,

111
00:06:40,630 --> 00:06:41,463
routing,

112
00:06:41,500 --> 00:06:46,320
it leverages message learning in
conjunction with ai and it understands the

113
00:06:46,320 --> 00:06:48,040
general intent of the patient inquiry,

114
00:06:48,580 --> 00:06:53,560
and then it intuitively routes
these digital messages to the right

115
00:06:53,610 --> 00:06:58,240
staff who are best suited or skilled to
address the patient inquiry and need.

116
00:06:58,940 --> 00:07:03,840
And then to address your question about,
you know, things to consider, and I'll,

117
00:07:03,840 --> 00:07:05,920
I'll share more about this in a moment,

118
00:07:06,100 --> 00:07:10,960
but as D ss o leaders
look to leverage AI in the

119
00:07:10,960 --> 00:07:15,880
cloud, I think a real critical requirement
is, is as you evaluate vendors,

120
00:07:16,380 --> 00:07:20,520
ensure that there's a deep level
of integration not only between,

121
00:07:21,220 --> 00:07:25,560
uh, your core business systems
that are voice centric,

122
00:07:25,560 --> 00:07:30,360
but make sure that platform integrates
to your real critical clinical systems

123
00:07:30,510 --> 00:07:34,840
like your, uh, electronic health record
or your practice management system.

124
00:07:35,160 --> 00:07:38,080
'cause this is where we
created a really exciting, uh,

125
00:07:38,140 --> 00:07:42,840
merger between the two that absolutely
levels up patient experience.

126
00:07:42,900 --> 00:07:46,560
So we'll, we'll talk more about
that in just a moment, but yeah,

127
00:07:46,560 --> 00:07:48,680
that's what I would share where, uh,

128
00:07:48,680 --> 00:07:51,880
where DSOs are leveraging
artificial intelligence today.

129
00:07:53,150 --> 00:07:57,640
Yeah, a a a great high level
overview of how AI is being applied,

130
00:07:58,060 --> 00:08:01,680
uh, at at DSOs dental
practices today. Um, I,

131
00:08:01,730 --> 00:08:05,040
let's let's get to sort of
the, you alluded to this
in, in your previous answer,

132
00:08:05,060 --> 00:08:08,440
but I want want to get to it
directly and drill down and,

133
00:08:08,460 --> 00:08:11,560
and hear how RingCentral really, you know,

134
00:08:11,630 --> 00:08:16,200
enables its d s O partners to leverage
these AI tools. And I would love it if,

135
00:08:16,380 --> 00:08:20,480
if you could ground this response in, in,
in some specific examples or outcomes.

136
00:08:21,820 --> 00:08:26,000
So in addition, uh, to the AI
use cases that I just described,

137
00:08:27,110 --> 00:08:31,320
DSOs also had the opportunity to
leverage the latest in conversation

138
00:08:31,600 --> 00:08:35,960
intelligence and conversation
intelligence delivers a couple critical

139
00:08:35,960 --> 00:08:40,480
capabilities. So first it, it
automatically generates notes,

140
00:08:40,670 --> 00:08:45,480
summaries and full transcripts from
patients or staff interactions.

141
00:08:45,870 --> 00:08:46,720
Then secondly,

142
00:08:47,050 --> 00:08:51,960
these captured transcripts are fluid
and can be searched via key terms

143
00:08:52,060 --> 00:08:55,960
or other insight benchmarks.
So what this does, Brian,

144
00:08:55,980 --> 00:09:00,600
is it lets DSOs let AI
track and assess patient

145
00:09:01,160 --> 00:09:06,040
sentiment and identify best practices
to repeat or obviously service

146
00:09:06,040 --> 00:09:09,160
improvement opportunities
by really just, uh,

147
00:09:09,310 --> 00:09:13,600
listening in a very intelligent
way that we never could before

148
00:09:14,050 --> 00:09:17,120
about patient, uh, input. So it's,

149
00:09:17,120 --> 00:09:20,880
it's pretty exciting to see them
leverage that new era of conversation

150
00:09:20,880 --> 00:09:24,800
intelligence that's, uh,
part of an AI engine as well.

151
00:09:26,360 --> 00:09:29,680
I imagine we're sort of just scratching
the surface here in terms of what,

152
00:09:29,710 --> 00:09:33,080
what kind of transformations this could
yield and how it could benefit patients,

153
00:09:33,080 --> 00:09:33,913
right?

154
00:09:34,120 --> 00:09:34,953
Oh, absolutely.

155
00:09:36,150 --> 00:09:38,850
And then, and then looking
ahead here, Lance, uh,

156
00:09:38,880 --> 00:09:40,410
what are some other areas where,

157
00:09:40,410 --> 00:09:45,410
where digital transformation or AI
and dentistry could really make a big

158
00:09:45,410 --> 00:09:46,690
impact for DSOs out there?

159
00:09:48,490 --> 00:09:51,870
So building upon what we've shared,

160
00:09:52,600 --> 00:09:56,190
let's transition over to a
comment i I made a moment ago,

161
00:09:56,190 --> 00:10:00,990
and that is where can providers
get even more optimization

162
00:10:01,170 --> 00:10:04,230
out of existing, uh,
technology investments?

163
00:10:04,250 --> 00:10:08,150
And so another new era of digital

164
00:10:08,530 --> 00:10:13,390
transformation that leverages AI is
integrating cloud communications within

165
00:10:13,630 --> 00:10:16,630
a provider's e H R or p m s system.

166
00:10:17,330 --> 00:10:21,070
And so this creates some really
exciting synergy between the system.

167
00:10:21,290 --> 00:10:26,230
So a good example of that is if a patient
specifies within their patient record,

168
00:10:26,570 --> 00:10:28,110
you know, via their patient portal,

169
00:10:29,350 --> 00:10:33,230
a specific preference for how they
want to be notified, say for a,

170
00:10:33,290 --> 00:10:38,150
an appointment reminder notification and
they indicate messaging by integrating

171
00:10:38,150 --> 00:10:43,150
the cloud communications platform
to this E H R or practice management

172
00:10:43,150 --> 00:10:48,070
system, we're able to see
those preferences on the
cloud communication side.

173
00:10:48,610 --> 00:10:50,910
And so that system recognizes this,

174
00:10:51,410 --> 00:10:56,190
it follows the notification preferences
and sends messages versus maybe

175
00:10:56,350 --> 00:10:59,070
a traditional voice call.
And the great thing is,

176
00:10:59,130 --> 00:11:02,270
is all this is done without any
staff intervention. So you're level,

177
00:11:02,370 --> 00:11:07,350
you're leveling up patient experience
and satisfaction levels by just simply

178
00:11:07,500 --> 00:11:11,990
letting the technology do what it's
been designed to do intelligently

179
00:11:12,450 --> 00:11:14,790
and without direct,
uh, human intervention.

180
00:11:15,570 --> 00:11:20,270
And then I'd also share another
big capability specific to

181
00:11:20,370 --> 00:11:23,950
the cloud contact center,
which is part of a a,

182
00:11:24,270 --> 00:11:27,670
a full communications
platform in the cloud,

183
00:11:28,410 --> 00:11:30,230
is the ability to pull,

184
00:11:30,810 --> 00:11:33,790
define patient data from the E H R.

185
00:11:34,690 --> 00:11:37,470
And when a patient calls their provider,

186
00:11:38,100 --> 00:11:41,910
this information is presented to the, uh,

187
00:11:42,060 --> 00:11:46,550
patient care navigator practice
representative on their

188
00:11:46,700 --> 00:11:50,630
contact center agent screen.
Once that call comes in.

189
00:11:51,170 --> 00:11:53,480
So what this does,
Brian, is it provides a,

190
00:11:53,600 --> 00:11:57,960
a richer patient care context
with some key information.

191
00:11:58,660 --> 00:12:02,320
It delivers a higher level of
insights, and then collectively,

192
00:12:02,950 --> 00:12:07,040
this is where you get that new era
of personalized patient experience.

193
00:12:07,540 --> 00:12:12,280
And then as far as just operational
benefits that dramatically reduces call

194
00:12:12,560 --> 00:12:17,480
handling times, it avoids those
very frustrating, you know,

195
00:12:17,800 --> 00:12:22,080
multiple call transfers that we've all
encountered and then optimally together

196
00:12:22,140 --> 00:12:24,480
it increases single call resolution rate.

197
00:12:24,540 --> 00:12:27,840
So there's just some tremendous
benefit about integrating the cloud

198
00:12:28,280 --> 00:12:32,040
communications platform, which
is the cloud phone system,

199
00:12:32,140 --> 00:12:36,720
but also the cloud contact center
system with these critical practice,

200
00:12:37,300 --> 00:12:41,360
uh, clinical application
systems as well. And then you,

201
00:12:41,670 --> 00:12:42,960
that enables the,

202
00:12:43,260 --> 00:12:47,960
the DSOs to get greater
optimization and value out of, uh,

203
00:12:47,960 --> 00:12:52,200
these other systems as well as
leverage their new investments in cloud

204
00:12:52,480 --> 00:12:53,313
communications.

205
00:12:54,850 --> 00:12:58,140
Yeah, and I imagine anything
that's sort of a, a, you know,

206
00:12:58,230 --> 00:13:02,660
alleviates staff burden, so to speak,
improves staff satisfaction is, uh,

207
00:13:02,980 --> 00:13:05,100
critically important right now
when you, when you consider the,

208
00:13:05,120 --> 00:13:09,180
the staffing environment in, in dentistry.
Am I thinking about that correctly?

209
00:13:10,450 --> 00:13:11,340
Yeah, absolutely.

210
00:13:12,320 --> 00:13:14,700
And then just to close out
here, Lance, I think you,

211
00:13:14,800 --> 00:13:19,260
you walked us through sort of some high
level stuff that's happening with AI and

212
00:13:19,260 --> 00:13:23,260
digital transformation and then got,
got granular for us, got super specific.

213
00:13:23,320 --> 00:13:27,260
So I, I greatly appreciate your time
as always, but before we sign off,

214
00:13:27,560 --> 00:13:28,000
is there,

215
00:13:28,000 --> 00:13:31,580
is there anything else you wanna
reemphasize for our listeners or you think

216
00:13:31,580 --> 00:13:32,460
listeners should know?

217
00:13:34,050 --> 00:13:38,690
I would just share that when we're
discussing digital innovation in

218
00:13:38,690 --> 00:13:41,890
dentistry and specifically
the, the role of ai,

219
00:13:42,650 --> 00:13:45,970
I think it's just really
fascinating how patient engagement,

220
00:13:46,580 --> 00:13:51,290
their experience and satisfaction
measurement can today

221
00:13:51,710 --> 00:13:56,170
really be measured as much by
what patients don't say directly,

222
00:13:56,750 --> 00:14:01,410
but by other inputs and self-directed
activities that have historically

223
00:14:01,640 --> 00:14:05,330
been overlooked or simply not
trackable that we can do today.

224
00:14:05,590 --> 00:14:09,890
So I think that's the real takeaway
with this type of digital innovation is,

225
00:14:09,910 --> 00:14:11,530
is it just expands the,

226
00:14:11,870 --> 00:14:15,170
the patient voice in a way
that's never been done before.

227
00:14:15,630 --> 00:14:20,610
And then it just sim simply, um,
means the DSOs need to listen and,

228
00:14:20,870 --> 00:14:25,490
and plan very productive next
steps to increase patient

229
00:14:25,970 --> 00:14:30,250
satisfaction levels from the great AI
knowledge that they're gaining from their

230
00:14:30,250 --> 00:14:31,570
cloud communication system.

231
00:14:32,910 --> 00:14:36,400
Yeah. Making sure they're leveraging that
technology to get the most out of it.

232
00:14:36,400 --> 00:14:38,840
Right. Uh, Lance, exactly. It's
been a pleasure speaking with you.

233
00:14:39,540 --> 00:14:42,320
Hey, I appreciate the opportunity
to visit with your audience, Brian.

234
00:14:42,320 --> 00:14:43,160
Thank you very much.

235
00:14:44,060 --> 00:14:46,520
Of course. Um, again, thank you Lance.

236
00:14:46,580 --> 00:14:50,440
And I'd also like to thank RingCentral
for sponsoring this episode.

237
00:14:50,940 --> 00:14:54,640
You continue to more podcasts
from Becker's Healthcare
by visiting our podcast

238
00:14:54,990 --> 00:14:55,280
page.

