WEBVTT 00:00.280 --> 00:02.447 Well , if y'all will remember the last 00:02.447 --> 00:04.989 thing that I said is without H two F 00:05.000 --> 00:07.333 and the mic in the room just went black . 00:08.859 --> 00:10.970 I know everybody's probably forgotten 00:10.970 --> 00:13.137 everything that I said other than that 00:13.137 --> 00:15.248 since lunch . So I'll do a quick 12th 00:15.248 --> 00:19.149 recap on each slide and just for 00:19.159 --> 00:21.270 whoever controls this , these are not 00:21.270 --> 00:22.715 advancing . There we go . 00:25.489 --> 00:27.656 All right . So just to remind you , uh 00:27.656 --> 00:30.489 we had a group of 56 brigades that were 00:30.500 --> 00:33.189 split into 2828 looked across time to 00:33.200 --> 00:35.419 look at differences between and within 00:35.430 --> 00:38.130 groups . We ran two types of stats and 00:38.139 --> 00:40.361 analysis of variants which allows us to 00:40.361 --> 00:42.583 say , is there a significant difference 00:42.583 --> 00:44.528 over time ? Is there a significant 00:44.528 --> 00:46.583 difference between groups and is the 00:46.583 --> 00:48.695 combination significant as well ? And 00:48.695 --> 00:50.750 then we also ran what's called a chi 00:50.750 --> 00:52.861 square test ? And that basically says 00:52.861 --> 00:54.917 if I've had group A and group B does 00:54.917 --> 00:56.861 one of those groups have more than 00:56.861 --> 00:59.083 expected of a given outcome , a profile 00:59.083 --> 01:02.790 of injury , et cetera . And I showed 01:02.799 --> 01:04.910 you MS K I rates we talked about that 01:04.910 --> 01:07.132 those are spiking across the army , but 01:07.132 --> 01:09.769 in particular units with H two F have 01:09.779 --> 01:13.059 not a lower spike in MS K I rates . And 01:13.069 --> 01:15.180 you can see that from the statistical 01:15.180 --> 01:17.402 inference graph there where on the left 01:17.402 --> 01:19.980 side nonso continues to spike resource 01:19.989 --> 01:22.110 kind of flattens out year over year . 01:22.389 --> 01:24.610 And that was significant across all 01:24.620 --> 01:27.620 tests and all models . And then I 01:27.629 --> 01:29.629 talked to you about musculoskeletal 01:29.629 --> 01:31.796 injury profiles greater than 90 days . 01:31.949 --> 01:34.239 It's not just about how much can we 01:34.250 --> 01:36.306 reduce injury but how quickly can we 01:36.306 --> 01:38.589 get them back into the fight ? And we 01:38.599 --> 01:40.821 saw kind of the same trend is that when 01:40.821 --> 01:42.988 we look at the year over year change , 01:43.050 --> 01:46.000 units with H two F have a smaller , 01:46.010 --> 01:48.232 significantly smaller increase in these 01:48.232 --> 01:50.121 longer duration , musculoskeletal 01:50.121 --> 01:53.050 profiles and that brings us up to date . 01:53.879 --> 01:56.750 So injuries are going to happen . We 01:56.760 --> 01:59.379 are preparing to fight and win wars . 01:59.400 --> 02:02.440 That is a given . But how fast can we 02:02.449 --> 02:04.616 get those soldiers back into the fight 02:04.959 --> 02:07.220 if we can treat a soldier inside the 02:07.230 --> 02:10.070 unit , both return to duty cost and 02:10.080 --> 02:13.960 time go down . The graph on the 02:13.970 --> 02:16.529 left is the change in musculoskeletal 02:16.539 --> 02:19.059 injury referrals out of the network for 02:19.070 --> 02:22.919 care , specifically 02:23.259 --> 02:26.190 units getting H two F had some higher 02:26.199 --> 02:29.850 spikes . As we see in 2020 2021 they 02:29.860 --> 02:31.860 were very early on . They were just 02:31.860 --> 02:33.971 being fielded and in fact , they were 02:33.971 --> 02:35.804 being fielded to units that were 02:35.804 --> 02:38.940 already pushing out more referrals for 02:38.949 --> 02:41.479 musculoskeletal injury . But what we 02:41.490 --> 02:44.839 also see is that within one year of 02:44.850 --> 02:47.820 FOC they flipped that narrative . You 02:47.830 --> 02:50.320 can see in 2022 at that inflection 02:50.330 --> 02:53.470 point where now year over year H two F 02:53.479 --> 02:55.800 is fairly flat . But those units 02:55.809 --> 02:58.300 without H two F continue to spike at a 02:58.309 --> 03:00.649 41% higher rate . 03:04.199 --> 03:07.199 The stats on the right show that this 03:07.210 --> 03:09.321 is not only significant for time . So 03:09.321 --> 03:12.399 as we go right in time referrals are 03:12.410 --> 03:15.259 going up , but as we have H two F and 03:15.270 --> 03:17.500 go right in time , we are keeping those 03:17.509 --> 03:21.169 at a significantly lower number . When 03:21.179 --> 03:23.290 we look at the raw numbers instead of 03:23.290 --> 03:25.457 the change in rates , we see that this 03:25.457 --> 03:28.369 is an even larger relationship . This 03:28.380 --> 03:30.179 is specifically the number of 03:30.190 --> 03:32.246 musculoskeletal referrals out of the 03:32.246 --> 03:35.220 network . Since resourcing , once again , 03:35.229 --> 03:37.396 those units with H two F are in gold , 03:37.396 --> 03:39.820 those units without are in tan . And 03:39.830 --> 03:42.210 you see the same trend , you see that 03:42.220 --> 03:44.869 once they're at FOC for a year at that 03:44.880 --> 03:47.419 2022 mark , they start to split in 03:47.429 --> 03:50.539 directions units with H two F 03:51.220 --> 03:53.039 have significantly fewer 03:53.050 --> 03:55.479 musculoskeletal injury referrals in 03:55.490 --> 03:58.970 2022 and 2023 . This wasn't always the 03:58.979 --> 04:02.660 case . Take a look at the green and red 04:02.669 --> 04:06.139 middle charts . The top two are 04:06.149 --> 04:09.380 2020 on the left and 21 on the 2021 on 04:09.389 --> 04:12.110 the right on those charts . The left 04:12.119 --> 04:15.330 half is nonso the right half is 04:15.339 --> 04:17.519 resourced . If you look at the right 04:17.529 --> 04:19.730 half , you see how they have more in 04:19.739 --> 04:23.209 the red prior to H two F coming on 04:23.220 --> 04:25.359 deck . These units were already 04:25.369 --> 04:28.309 referring more musculoskeletal injuries 04:28.320 --> 04:31.070 out for care . But if you look at 2022 04:31.079 --> 04:34.390 and 2023 once again , within one year 04:34.399 --> 04:37.989 of FOC , they flip that narrative . Now 04:38.410 --> 04:40.549 look down at the bottom right in 2023 04:40.559 --> 04:42.670 you see how much more is in the green 04:42.670 --> 04:45.529 on that right side . And when we look 04:45.540 --> 04:47.429 at the actual statistics , we can 04:47.429 --> 04:49.769 actually see that in the table below in 04:49.779 --> 04:52.679 2020 units without H two F or units 04:52.690 --> 04:54.746 that were going to be resourced were 04:54.746 --> 04:58.130 higher . But by 2022 they're not only 04:58.140 --> 05:00.529 lower , but when you get to 2023 that 05:00.540 --> 05:02.707 number is off the charts that's called 05:02.707 --> 05:04.818 a Pearson statistic . It's a , it's a 05:04.818 --> 05:06.873 fancy term for , hey , how strong is 05:06.873 --> 05:09.339 this relationship ? Having numbers of a 05:09.350 --> 05:12.089 couple 100 is pretty strong when you 05:12.100 --> 05:14.670 approach 2000 , that's rarely unheard 05:14.679 --> 05:16.989 of . So this is a very strong and 05:17.000 --> 05:19.630 impactful relationship where units with 05:19.640 --> 05:22.470 H two F are able to treat more inside 05:22.480 --> 05:26.109 the brigade footprint . If you add this 05:26.119 --> 05:28.239 up across the total army , that's 05:28.250 --> 05:30.989 almost an entire division every single 05:31.000 --> 05:33.350 year that we are able to treat inside 05:33.359 --> 05:35.619 the footprint and get back into the 05:35.630 --> 05:36.529 fight faster 05:40.079 --> 05:42.549 moving on from musculoskeletal injury 05:42.559 --> 05:44.503 to the change in behavioral health 05:44.503 --> 05:46.829 profiles . We see similar trends . 05:47.579 --> 05:49.820 Units with H two F are inhibiting the 05:49.829 --> 05:51.940 rise in behavioral health profiles . 05:52.890 --> 05:55.269 Interestingly down at the very bottom , 05:55.380 --> 05:57.690 the Chi Square Sharks , once again , 05:57.700 --> 05:59.867 that looks at raw numbers and counts , 05:59.867 --> 06:02.630 not trends over time shows the same 06:02.640 --> 06:04.750 type of pattern as we saw with 06:04.760 --> 06:08.309 musculoskeletal injury referrals prior 06:08.320 --> 06:11.470 to or just at resourcing . These units 06:11.480 --> 06:13.758 had higher behavioral health referrals . 06:14.279 --> 06:17.350 But once again , within one year of FOC , 06:17.359 --> 06:19.637 they start a full operating capability , 06:19.637 --> 06:21.859 they start to flip that narrative . You 06:21.859 --> 06:24.820 can see in 2021 and 2022 those paths 06:24.829 --> 06:28.320 diverge units with H two 06:28.329 --> 06:30.959 F . Now , not only have fewer 06:30.970 --> 06:33.119 behavioral health profiles , but they 06:33.130 --> 06:36.059 have a significantly smaller increase 06:36.070 --> 06:38.292 over time . And you can see that in the 06:38.292 --> 06:39.737 A novo graph at the top , 06:45.829 --> 06:48.040 I'm gonna back up one . There was one 06:48.049 --> 06:51.540 point I forgot to mention if we look at 06:51.549 --> 06:53.989 the cost in musculoskeletal injury 06:54.000 --> 06:56.880 referrals and we were to scale H two F 06:56.890 --> 06:59.049 across the total army . It would 06:59.059 --> 07:01.890 essentially be about a $200 million 07:01.899 --> 07:05.450 cost savings or cost avoidance per year . 07:06.170 --> 07:08.281 That is one third of what we spend on 07:08.281 --> 07:10.503 musculoskeletal injuries . So if we can 07:10.503 --> 07:12.614 treat them inside the footprint , not 07:12.614 --> 07:14.726 only do we get them back in the fight 07:14.726 --> 07:16.781 healthier , sustain that performance 07:16.781 --> 07:18.837 longer . But we save approximately a 07:18.837 --> 07:20.837 third of the costs that we spend on 07:20.837 --> 07:22.948 musculoskeletal injuries every year . 07:22.948 --> 07:25.059 Hey , doc , just another thing here . 07:25.059 --> 07:27.281 Um That really , I think resonates with 07:27.281 --> 07:29.679 our surgeon general . Uh We were having 07:29.690 --> 07:32.279 this discussion at PC C . When you look 07:32.290 --> 07:34.649 at , go back a slide , this is an 07:34.660 --> 07:37.769 important thing to , to kind of share 07:38.130 --> 07:40.230 when we talk about MS K I referrals 07:40.239 --> 07:42.410 that are , that are being able to be 07:42.420 --> 07:44.309 handled down at the H two F level 07:44.309 --> 07:46.320 rather than go back to the troop 07:46.329 --> 07:49.309 medical clinic or the hospital . Um , 07:49.320 --> 07:52.149 this is a big deal for our medical 07:52.160 --> 07:54.160 providers , you know , on the right 07:54.160 --> 07:57.119 side , um , we're reducing wait times 07:57.130 --> 07:59.170 for appointments . Um , you're 07:59.179 --> 08:01.660 increasing appointments . Uh , this 08:01.670 --> 08:03.837 gets really exciting for some veterans 08:03.837 --> 08:06.003 out there that we're told that they've 08:06.003 --> 08:08.114 got to go on the outside with Tricare 08:08.114 --> 08:10.281 Standard and they can't be seen . Um , 08:10.281 --> 08:13.760 it's just huge and , and as you 08:13.769 --> 08:15.880 mentioned before , that's not a small 08:15.880 --> 08:17.825 delta that's gigantic and the cost 08:17.825 --> 08:19.936 savings there is also really , really 08:19.936 --> 08:21.880 big . So at some point , I know we 08:21.880 --> 08:24.102 don't have it necessarily here . We , I 08:24.102 --> 08:26.213 know you're going to talk readiness , 08:26.213 --> 08:28.491 but at some point , speed of readiness , 08:28.491 --> 08:30.658 I think would be key . How fast are we 08:30.658 --> 08:32.880 getting them back into the fight Vice ? 08:32.880 --> 08:34.991 I'm waiting for an appointment , um , 08:34.991 --> 08:37.799 to go to OT and then , or go to , uh 08:37.809 --> 08:41.078 Ortho and then I'm gonna go do my 08:41.129 --> 08:44.039 physical therapy , uh , twice a week 08:44.049 --> 08:46.408 over a period of 10 weeks . You know , 08:46.419 --> 08:48.818 that , that kind of old model . What 08:48.828 --> 08:50.772 does that mean ? Now , in terms of 08:50.772 --> 08:52.772 speed of readiness future , I don't 08:52.772 --> 08:54.828 think we're there yet , but down the 08:54.828 --> 08:54.809 road , that's , that's one . I think 08:54.818 --> 08:56.540 that will really resonate with 08:56.540 --> 08:58.679 everybody in the army . Yes , sir . I 08:58.690 --> 09:00.809 concur and if we can get to them and 09:00.820 --> 09:02.931 treat them and get access to care the 09:02.931 --> 09:05.153 same day , we can not only reduce those 09:05.153 --> 09:07.487 military treatment facilities workloads , 09:07.487 --> 09:09.709 but we can get them back into the fight 09:09.709 --> 09:12.059 and deployable at a faster rate . All 09:12.070 --> 09:14.950 right , jumping forward . So it's not 09:14.960 --> 09:18.659 just about access to care and reducing 09:18.669 --> 09:20.836 behavioral health profiles . It's also 09:20.836 --> 09:23.169 reducing the duration of those profiles . 09:23.369 --> 09:25.880 On this slide , we look at the change 09:25.890 --> 09:28.057 in behavioral health profiles that are 09:28.057 --> 09:30.719 greater than 90 days . We see by once 09:30.729 --> 09:32.785 again , full operating capability in 09:32.785 --> 09:35.690 2022 H two F starts to have an effect . 09:35.820 --> 09:38.729 And this strengthens within one year of 09:38.739 --> 09:41.820 having the capability units with H two 09:41.830 --> 09:45.000 F now have a significantly lower rate 09:45.010 --> 09:47.760 increase of behavioral health profiles 09:47.770 --> 09:50.739 greater than 90 days . The Chi square 09:50.750 --> 09:53.650 test backs this up with raw counts in 09:53.659 --> 09:55.881 numbers , not just the change rate over 09:55.881 --> 09:59.840 time in 2021 units getting H 09:59.849 --> 10:02.859 two F had significantly more greater 10:02.869 --> 10:05.147 than 90 day behavioral health profiles , 10:05.147 --> 10:07.313 but now once again , within one year , 10:07.320 --> 10:09.799 they have flipped that narrative units 10:09.809 --> 10:11.809 with H two F now have significantly 10:11.809 --> 10:14.229 fewer longer duration behavioral health 10:14.239 --> 10:15.070 profiles . 10:19.039 --> 10:21.700 The strongest effect we see in 10:21.710 --> 10:23.877 behavioral health is substance abuse . 10:23.877 --> 10:27.489 By far , these graphs show the change 10:27.500 --> 10:29.659 in rate of substance abuse profiles 10:29.669 --> 10:32.140 over time . And if you look on the left 10:32.190 --> 10:34.989 hand side , as soon as H two F units 10:35.000 --> 10:37.210 were embedded , they drove that number 10:37.219 --> 10:39.770 down . And in fact , as of last year 10:40.080 --> 10:42.250 units without H two F have a 10:42.260 --> 10:46.250 502% higher increase in substance 10:46.260 --> 10:49.989 abuse profiles . The Anova 10:50.000 --> 10:52.222 model once again in the middle and that 10:52.222 --> 10:54.000 chart showed that that spike is 10:54.000 --> 10:57.099 significantly different units with H 10:57.109 --> 10:59.053 two F are pretty flat . See on the 10:59.053 --> 11:01.165 right hand side , how those three red 11:01.165 --> 11:03.331 bullet points are rather flat . But on 11:03.331 --> 11:05.553 the left hand side , they're continuing 11:05.553 --> 11:07.869 to spike in nonso units down at the 11:07.880 --> 11:09.880 bottom . That chi square model , it 11:09.880 --> 11:12.102 backs it up . It's not just significant 11:12.102 --> 11:14.269 for the change over time , but the raw 11:14.269 --> 11:16.719 counts units with H two F are not only 11:16.729 --> 11:18.618 inhibiting the rise but they have 11:18.618 --> 11:20.618 significantly fewer substance abuse 11:20.618 --> 11:22.650 profiles . And once again , that 11:22.659 --> 11:25.450 Pearson statistic is north of 500 that 11:25.460 --> 11:27.820 is very strong and a very impactful 11:27.830 --> 11:28.830 relationship . 11:32.530 --> 11:34.700 If we roll this out across the army , 11:35.659 --> 11:38.159 that would equate to roughly a division , 11:38.169 --> 11:41.309 fewer substance abuse profiles per year . 11:43.440 --> 11:45.496 Moving on from behavioral health and 11:45.496 --> 11:47.607 into combat fitness and performance , 11:47.607 --> 11:50.179 we have the change in AC FT pass rates . 11:50.969 --> 11:53.729 Few were taking the test in 2019 and it 11:53.739 --> 11:56.109 was diagnostic but the change in 11:56.119 --> 11:58.390 percentages over time still tell an 11:58.400 --> 12:01.369 important story . The analysis of 12:01.380 --> 12:03.380 variance model in the middle showed 12:03.380 --> 12:05.619 that units with H two F have a 12:05.630 --> 12:07.909 significantly higher increase in 12:07.919 --> 12:10.500 passing rates . They are getting better 12:10.510 --> 12:14.409 faster down at the bottom . 12:14.809 --> 12:17.419 The chi square statistic also shows 12:17.429 --> 12:19.330 that units with H two F have 12:19.340 --> 12:22.650 significantly more soldiers passing the 12:22.659 --> 12:26.630 AC FT shoot move , communicate , 12:27.150 --> 12:29.150 they are learning to move at higher 12:29.150 --> 12:31.094 levels of performance . What about 12:31.094 --> 12:34.380 shooting ? Here ? We have the raid of 12:34.390 --> 12:36.557 soldiers passing rifle marksmanship as 12:36.557 --> 12:39.760 experts and I acknowledge the tables 12:39.770 --> 12:41.714 have changed recently and that may 12:41.714 --> 12:44.140 explain that 2021 bullet point or dot 12:44.150 --> 12:46.261 that you see on the left hand graph , 12:46.261 --> 12:48.317 but those changes are consistent for 12:48.317 --> 12:50.483 all soldiers . So we can still compare 12:50.483 --> 12:52.706 within and between groups across time . 12:52.880 --> 12:55.299 The innova model showed us that units 12:55.309 --> 12:58.570 with H two F are increasing expert qual 12:58.580 --> 13:00.859 at a faster rate than units without H 13:00.869 --> 13:03.010 two F . But I've presented the chi 13:03.030 --> 13:05.141 square mosaics just so you can really 13:05.141 --> 13:08.820 see what this means for the army units 13:08.830 --> 13:11.369 with H two F have significantly more 13:11.380 --> 13:13.547 soldiers qualifying as expert . See on 13:13.547 --> 13:15.769 the right hand side of those , how many 13:15.769 --> 13:17.880 more are in the green versus the left 13:17.880 --> 13:20.940 hand side ? Once again , the Pearson 13:20.950 --> 13:23.520 statistic in 2022 is very strong , but 13:23.530 --> 13:26.859 it is off the charts for 2023 . This 13:26.869 --> 13:28.929 relationship is growing stronger as 13:28.940 --> 13:32.849 time goes on . If these trends hold and 13:32.859 --> 13:35.130 we fielded H two F to the entire active 13:35.140 --> 13:37.520 duty force , that would equate to an 13:37.530 --> 13:40.919 entire core , more soldiers 13:40.929 --> 13:43.440 passing rifle marksmanship as experts 13:43.450 --> 13:47.150 every single year . Rifle 13:47.159 --> 13:49.381 marksmanship . Did you crawl or did you 13:49.381 --> 13:51.326 not crawl ? Also followed the same 13:51.326 --> 13:53.669 pattern . H two F had more individuals . 13:53.679 --> 13:55.900 QW and they're increasing crawl rates 13:55.909 --> 13:58.390 at a faster and higher rate . 14:01.090 --> 14:04.280 Finally , we move on to a downstream RO 14:04.299 --> 14:06.410 I metric . So everything you just saw 14:06.410 --> 14:08.466 was really upstream . Those are some 14:08.466 --> 14:10.632 early indicators of change . These are 14:10.632 --> 14:12.855 more of the downstream indicators . And 14:12.855 --> 14:14.799 this is specifically the change in 14:14.799 --> 14:17.750 medically non deployable soldiers . As 14:17.760 --> 14:19.982 we have seen , when you introduce human 14:19.982 --> 14:22.038 performance teams , you uncover some 14:22.038 --> 14:24.429 critical health and fitness issues that 14:24.440 --> 14:26.669 lead to initial spikes when you have 14:26.679 --> 14:28.790 those units embedded and implementing 14:28.790 --> 14:30.869 their best practices . The trend 14:30.880 --> 14:32.950 follows for medically non deployable 14:32.960 --> 14:36.909 rates , but it's a bit slower to appear 14:36.919 --> 14:39.030 once again because it is downstream . 14:39.080 --> 14:41.080 As you see in the graph on the left 14:41.080 --> 14:43.020 after FOC units with H two F were 14:43.030 --> 14:45.369 identifying more soldiers as medically 14:45.380 --> 14:48.609 non deployable for H two F . This may 14:48.619 --> 14:50.929 help us better allocate our resources 14:50.940 --> 14:53.218 to those soldiers who are most in need . 14:53.840 --> 14:55.896 Fortunately , as you will see on the 14:55.896 --> 14:59.140 next slide , H two F is increasing the 14:59.150 --> 15:01.150 numbers of deployable soldiers at a 15:01.150 --> 15:03.369 much faster rate . And to a greater 15:03.380 --> 15:07.270 extent , this slide looks 15:07.280 --> 15:09.890 at the change in medical deploy ability . 15:09.900 --> 15:11.869 So going from non deployable to 15:11.880 --> 15:14.830 deployable access to care is a double 15:14.840 --> 15:18.469 edged sword . On the last slide , we 15:18.479 --> 15:21.390 showed that H 22 F were identifying 15:21.400 --> 15:23.450 more medi medically non employable 15:23.460 --> 15:25.900 soldiers . But here , as you see in the 15:25.909 --> 15:28.440 graph on the left and the innova models , 15:28.450 --> 15:31.059 units with H two F are also 15:32.630 --> 15:34.574 helping soldiers get back into the 15:34.574 --> 15:37.500 fight faster and become deployable . We 15:37.510 --> 15:38.954 saw the same pattern with 15:38.954 --> 15:41.010 musculoskeletal injury referrals and 15:41.010 --> 15:42.899 behavioral health profiles just a 15:42.899 --> 15:44.732 little earlier in the timeline . 15:45.099 --> 15:47.770 Essentially , units with H two F are 15:47.780 --> 15:50.640 starting off with about 0.6% more in 15:50.650 --> 15:54.059 the red , but they're moving even more 15:54.070 --> 15:56.669 to the green at a faster rate , 40% 15:56.679 --> 15:59.940 higher when you do the math and account 15:59.950 --> 16:02.570 for that difference . H two F in the 16:02.580 --> 16:05.849 total army would add an entire division 16:05.979 --> 16:08.619 moving from the red to the green every 16:08.630 --> 16:09.409 single year . 16:13.989 --> 16:16.045 This would be my summary . Take home 16:16.045 --> 16:18.211 slide if you wanted one X um about the 16:18.211 --> 16:21.619 ro I the prior slide is all summarized 16:21.630 --> 16:23.789 under each bucket but the important . 16:23.799 --> 16:26.229 So what is in white and gold at the 16:26.239 --> 16:28.950 bottom ? And these are each year per 16:28.960 --> 16:31.179 brigade , what H two F could do for 16:31.190 --> 16:33.429 your unit ? In summary , they have 16:33.440 --> 16:35.760 better injury control , better return 16:35.770 --> 16:38.059 to duty outcomes . The soldiers have 16:38.070 --> 16:40.669 less negative behavioral health issues . 16:40.929 --> 16:42.818 They're shooting better , they're 16:42.818 --> 16:44.873 moving better , they're more fit and 16:44.873 --> 16:47.096 they're increasing their deploy ability 16:47.096 --> 16:49.318 at a faster rate . We're still early on 16:49.318 --> 16:51.262 in this effort , but we've already 16:51.262 --> 16:52.985 turned many tides towards more 16:52.985 --> 16:54.960 favorable seas and we expect these 16:54.969 --> 16:57.229 outcomes to not only continue but to 16:57.239 --> 16:59.909 grow and ideally spread out to the 16:59.919 --> 17:03.659 entire force critically . With the 17:03.669 --> 17:05.725 exception of deploy ability , all of 17:05.725 --> 17:07.836 these are short term indicators . And 17:07.836 --> 17:09.502 if you look at the cumulative 17:09.502 --> 17:11.558 downstream effects and you compare a 17:11.558 --> 17:13.725 soldier getting out of the army now to 17:13.725 --> 17:16.380 a soldier getting in the army with H 17:16.390 --> 17:18.900 two F from day one . It's easy to 17:18.910 --> 17:21.260 imagine how drastic their lifelong 17:21.270 --> 17:25.069 health , fitness quality and well being 17:25.079 --> 17:29.038 would be . At this time , I'd like 17:29.048 --> 17:31.288 to ask all of the H two F staff to 17:31.298 --> 17:33.619 please stand and all the commands who 17:33.629 --> 17:36.489 have H two F within their unit . I'm 17:36.500 --> 17:39.010 presenting your results . You are the 17:39.020 --> 17:40.853 men and women who are inside the 17:40.853 --> 17:42.930 footprint every single day who are 17:42.939 --> 17:43.489 serving 17:57.430 --> 17:59.374 these results are because of these 17:59.374 --> 18:01.152 teams that you see around you . 18:04.819 --> 18:06.763 We recognize that there is no such 18:06.763 --> 18:08.986 thing as a day off . There is no rest . 18:09.189 --> 18:11.599 We've always has to continue to improve 18:11.609 --> 18:13.665 and evolve . This slide is not meant 18:13.665 --> 18:15.331 for you to read but rather to 18:15.331 --> 18:17.920 illustrate that RO I evaluation is an 18:17.930 --> 18:21.050 ongoing process . We have working 18:21.060 --> 18:22.959 groups with army organizations , 18:22.969 --> 18:24.920 subject matter , experts , H two F 18:24.930 --> 18:27.280 staff and units that help us shape . 18:27.290 --> 18:29.459 What do we possibly need to change ? 18:30.119 --> 18:32.400 What gaps are there ? How can we 18:32.410 --> 18:34.979 improve the benefit to H two F ? How 18:34.989 --> 18:36.989 can we improve returns ? How can we 18:36.989 --> 18:38.489 spread this to the force ? 18:40.650 --> 18:44.510 Well , the answer is our first 18:44.520 --> 18:47.050 push in H two F modernization which 18:47.060 --> 18:48.829 focuses on software and cloud 18:48.839 --> 18:51.650 capabilities , tools and technologies 18:51.660 --> 18:54.229 to help measure and facilitate Roy 18:54.239 --> 18:57.949 across the entire army . The RO I slide 18:57.959 --> 19:00.119 showed some gaps in force readiness . 19:00.270 --> 19:02.619 More importantly , units with H two F 19:02.630 --> 19:04.819 are addressing those gaps . They're 19:04.829 --> 19:06.885 getting soldiers back into the fight 19:06.885 --> 19:08.607 faster and they're doing it by 19:08.607 --> 19:10.829 providing their subject matter , expert 19:10.829 --> 19:12.996 care . However , currently these teams 19:12.996 --> 19:15.520 are only slated the field to 47% of the 19:15.530 --> 19:18.640 active duty H two F is meant to be a 19:18.650 --> 19:20.939 total army solution and we should be 19:20.949 --> 19:23.239 providing a tool such that every single 19:23.250 --> 19:25.540 soldier has access to a human 19:25.550 --> 19:28.640 performance team . This not only aligns 19:28.650 --> 19:30.989 with army senior leader objectives , 19:31.030 --> 19:32.808 but also Department of the Army 19:32.808 --> 19:35.239 Strategic Guidance . And when we talk 19:35.250 --> 19:37.472 and senior leaders talk about readiness 19:37.472 --> 19:39.780 and quality of life . I can't think of 19:39.790 --> 19:41.890 a better mission than improving the 19:41.900 --> 19:44.067 path for how we modernize , caring for 19:44.067 --> 19:47.660 our people . We want to avoid the haves 19:47.670 --> 19:50.180 and have nots . And so this primary 19:50.189 --> 19:52.189 solution for software would have to 19:52.189 --> 19:54.522 serve all compos and all types of units . 19:54.880 --> 19:56.500 Part of those working groups 19:56.510 --> 19:58.819 specifically looked at what is H two F 19:58.829 --> 20:01.069 software need to do ? Who's it going to 20:01.079 --> 20:03.160 be used by ? What are the additional 20:03.170 --> 20:05.380 resources that we have to provide to 20:05.390 --> 20:08.390 derive the most benefit critically ? We 20:08.400 --> 20:10.400 need to cover all five domains in a 20:10.400 --> 20:12.739 single platform . Now , that's not 20:12.750 --> 20:14.917 meant to say that other applications , 20:14.920 --> 20:17.087 software and functions would not be of 20:17.087 --> 20:19.309 value because they would , that's meant 20:19.309 --> 20:22.010 to say we need at least one baseline 20:22.020 --> 20:25.839 capability across the force that belly 20:25.849 --> 20:28.016 button would be used to tie into other 20:28.016 --> 20:31.630 systems of record to inform strategic 20:31.640 --> 20:33.584 decisions and the common operating 20:33.584 --> 20:37.500 picture . Beyond data 20:37.510 --> 20:39.399 to decisions , we need to provide 20:39.399 --> 20:42.839 soldiers leaders and cadre with step by 20:42.849 --> 20:45.270 step actions of how they achieve their 20:45.280 --> 20:47.459 goals , to improve their strengths and 20:47.469 --> 20:51.459 to improve their weaknesses . What 20:51.469 --> 20:53.580 does this look like ? One of the most 20:53.580 --> 20:55.819 common practical applications is an 20:55.829 --> 20:59.369 initial holistic baseline . Think of 20:59.380 --> 21:01.650 this as your digital AC FT except 21:01.660 --> 21:04.550 across all the H two F domains , both 21:04.560 --> 21:07.079 objective and subjective . What's your 21:07.089 --> 21:08.811 current baseline ? What's your 21:08.811 --> 21:10.978 strengths ? What are your weaknesses ? 21:10.978 --> 21:12.978 Oh , by the way , here's an H two F 21:12.978 --> 21:15.089 vetted plan for you to improve all of 21:15.089 --> 21:16.978 those . And I'm going to show you 21:16.978 --> 21:19.089 feedback on how well you're doing all 21:19.089 --> 21:21.599 along the way . That intake should be 21:21.609 --> 21:23.720 immediately followed up with targeted 21:23.720 --> 21:26.180 training and education PT plans that 21:26.189 --> 21:28.411 you could follow nutritional analysis , 21:28.411 --> 21:30.522 meal plans . What should my tray look 21:30.522 --> 21:33.280 like at the DFAT hands on support when 21:33.290 --> 21:35.449 needed through connecting me to an H 21:35.459 --> 21:39.319 two F staff member . It's 2024 and we 21:39.329 --> 21:41.662 still take the AC FT with pen and paper . 21:42.300 --> 21:44.760 We spend 36 years of manual labor 21:44.770 --> 21:47.540 reentering one year of data into DT MS . 21:47.550 --> 21:50.040 That is neither timely nor actionable 21:51.199 --> 21:52.977 soldiers need to be able to see 21:52.977 --> 21:55.088 themselves . We should be able to run 21:55.088 --> 21:57.088 an AC FT multiple soldiers with one 21:57.088 --> 21:59.180 tablet . They step off the field and 21:59.189 --> 22:01.680 automatically the dashboard shows up on 22:01.689 --> 22:03.800 their profile the strength coach gets 22:03.800 --> 22:06.599 their PT plan . The command gets to see 22:06.609 --> 22:08.665 in real time what the unit readiness 22:08.665 --> 22:10.890 status is . It is 2024 . Every one of 22:10.900 --> 22:12.844 you have a smartphone . Why are we 22:12.844 --> 22:15.178 still using pen and paper for the AC FT ? 22:15.178 --> 22:17.178 And why can't you walk off an AC FT 22:17.178 --> 22:19.400 field with a nutrition plan , a PT plan 22:19.400 --> 22:21.456 and a meeting already scheduled with 22:21.456 --> 22:22.622 your H two F staff . 22:29.650 --> 22:32.130 The most important point is that at 22:32.140 --> 22:34.829 each echelon , this data should inform 22:34.839 --> 22:37.349 decisions that ultimately get the right 22:37.359 --> 22:39.430 targeted support into the hands of 22:39.439 --> 22:42.189 every soldier to improve the individual , 22:42.199 --> 22:46.000 the unit and our army . In short H two 22:46.010 --> 22:48.339 F software could help us acquire and 22:48.349 --> 22:51.829 develop soldiers in the operational 22:51.839 --> 22:53.561 force . Soldier development is 22:53.561 --> 22:55.672 sustained . But now the same software 22:55.672 --> 22:57.895 tool can be used to optimize actions on 22:57.895 --> 23:00.117 the X and enhance the longevity of that 23:00.117 --> 23:02.530 high performing career . People tend to 23:02.540 --> 23:04.596 stick around when they have cohesive 23:04.596 --> 23:06.651 teams . A positive command , climate 23:06.819 --> 23:09.041 and subject matter experts who are here 23:09.041 --> 23:10.708 to serve your wellness , your 23:10.708 --> 23:12.597 performance and your well being . 23:13.729 --> 23:15.896 Soldiers need to see themselves , they 23:15.896 --> 23:18.007 need to have the right support and it 23:18.007 --> 23:20.173 needs to be along their entire path to 23:20.173 --> 23:22.229 progress , not just while they're in 23:22.229 --> 23:24.340 the army , but transition over to the 23:24.340 --> 23:26.507 va whole health program for continuity 23:26.507 --> 23:29.589 of care for H two F to reach peak 23:29.599 --> 23:32.500 impact . We need to arm these personnel 23:32.630 --> 23:34.852 with force multiplying tools like H two 23:34.852 --> 23:37.780 F software and when your unit is 23:37.790 --> 23:39.739 geographically dispersed or not 23:39.750 --> 23:41.829 interacting every day , H two F is 23:41.839 --> 23:44.006 critical , the software is critical to 23:44.006 --> 23:46.479 ensuring connection accountability and 23:46.489 --> 23:48.545 come drill weekend . Not only do you 23:48.545 --> 23:50.378 know that everyone's ready , but 23:50.378 --> 23:52.545 everyone knows what the mission is and 23:52.545 --> 23:54.378 is prepared to execute . While I 23:54.378 --> 23:56.100 believe H two F software would 23:56.100 --> 23:58.819 revolutionize our ability to affect Roy 23:58.930 --> 24:00.890 in the active duty . I think the 24:00.900 --> 24:03.122 Reserves and National Guard may benefit 24:03.122 --> 24:06.979 even more H two F software could 24:06.989 --> 24:08.780 and should provide that digital 24:08.790 --> 24:11.619 handshake . So every single soldier has 24:11.630 --> 24:14.270 access to a H two F human performance 24:14.280 --> 24:16.459 team member when they need it as they 24:16.469 --> 24:19.709 need it . This allows us to scale H two 24:19.719 --> 24:21.640 F efficiently effectively and 24:21.650 --> 24:25.469 economically , the first place we're 24:25.479 --> 24:27.090 going to do this is with our 24:27.090 --> 24:28.979 congressionally directed wearable 24:28.979 --> 24:31.959 analysis . We need a tool to aggregate , 24:31.969 --> 24:34.136 report the data . But more importantly 24:34.136 --> 24:37.930 to action the intel , we're going to 24:37.939 --> 24:41.119 start this with the support of 198 24:41.130 --> 24:43.619 Infantry brigade down at O SI T their H 24:43.630 --> 24:45.852 two F staff and their command have been 24:45.852 --> 24:47.852 leaning very far forward to help us 24:47.852 --> 24:49.741 make sure this looks right and is 24:49.741 --> 24:51.908 integrated into the PO I effectively , 24:52.829 --> 24:55.050 we're going to bring on this summer . 24:55.479 --> 24:57.646 In fact , I'll go ahead and jump ahead 24:57.646 --> 25:00.589 this summer . We are going to bring on 25:00.900 --> 25:03.410 H two F staff and cadre for a couple of 25:03.420 --> 25:05.531 months . We're not just going to hand 25:05.531 --> 25:07.587 them the tools and say Here you go . 25:07.587 --> 25:09.920 We're going to teach them how to use it , 25:09.920 --> 25:12.253 how to see yourself . What does it mean ? 25:12.253 --> 25:14.420 What do I do with the information once 25:14.420 --> 25:16.476 they fully understood the capability 25:16.476 --> 25:16.310 and helped refine , how do we apply it 25:16.319 --> 25:18.430 in the po I , we'll then bring on the 25:18.430 --> 25:20.920 command team once they do the same 25:20.930 --> 25:22.986 thing and everything looks and feels 25:22.986 --> 25:25.097 right . Then we'll bring on a brigade 25:25.097 --> 25:26.930 of trainees because I want those 25:26.930 --> 25:28.930 trainees to come in day one and see 25:28.930 --> 25:30.874 that their command , their H two F 25:30.874 --> 25:32.930 staff are doing the exact same thing 25:32.930 --> 25:35.152 Sergeant Major of the army said we lead 25:35.152 --> 25:36.986 by example , they're coming in , 25:36.986 --> 25:36.770 they're seeing that your commanders are 25:36.780 --> 25:38.724 doing the exact same things you're 25:38.724 --> 25:42.010 being asked to do this summer 25:42.579 --> 25:45.170 through next spring , we will embed in 25:45.180 --> 25:47.729 all 22 weeks of O SI T and then we will 25:47.739 --> 25:49.189 scale to BC T . 25:52.770 --> 25:55.010 Importantly , the devices we selected 25:55.859 --> 25:57.748 were vetted through the Air Force 25:57.748 --> 26:00.420 research labs , socom and the Ohio 26:00.430 --> 26:02.263 State University's gold standard 26:02.263 --> 26:06.260 testing tactical wrist watches with 26:06.270 --> 26:08.380 information portrayal to be worn 26:08.390 --> 26:10.612 throughout the day for general workload 26:10.619 --> 26:13.790 and recovery during PT and PO I events , 26:13.800 --> 26:16.410 a chest strap for more accuracy during 26:16.449 --> 26:19.109 high paced tactical movements . And 26:19.119 --> 26:21.286 then at night , everybody would wear a 26:21.286 --> 26:23.397 sleep ring for nocturnal physiology , 26:23.397 --> 26:25.230 sleep quality , sleep recovery . 26:28.750 --> 26:31.040 I'll say this slide for later , but 26:31.050 --> 26:33.217 we're not just giving them the devices 26:33.217 --> 26:35.383 we are integrating this day in and day 26:35.383 --> 26:38.760 out . So daily PT weekly spot 26:38.770 --> 26:40.826 checks , understanding , helping the 26:40.826 --> 26:43.048 soldiers see where they are , what they 26:43.048 --> 26:45.048 need to do to improve and providing 26:45.048 --> 26:47.214 that information to the subject matter 26:47.214 --> 26:49.437 experts that are serving them inside of 26:49.437 --> 26:51.603 that unit . And I'll wrap up with this 26:54.420 --> 26:57.589 enhanced holistic health , fitness for 26:57.599 --> 27:00.400 duty and operational performance are 27:00.410 --> 27:02.959 achieved through empowering individuals . 27:02.969 --> 27:05.500 H two F human performance teams cadre 27:05.510 --> 27:08.099 and commands with timely and actionable 27:08.109 --> 27:10.520 intelligence on H two F five domains , 27:11.239 --> 27:14.050 collectively modernizing this system 27:14.329 --> 27:16.780 will help us lead the information age 27:16.790 --> 27:19.890 paradigm shift as we deliver tactical 27:19.900 --> 27:21.789 and strategic capabilities to the 27:21.789 --> 27:24.140 battlefield . And with that , I 27:24.150 --> 27:26.317 appreciate your time and thank you for 27:26.317 --> 27:26.969 giving me a round too .