What Works: Outcomes Data from AFHCAN and ANTHC
TelehealthAn 8 Year Retrospective
Stewart Ferguson Ph.D.CIO, ANTHC
1/1/2001 to 12/31/2010(91,977 Cases)
49% of all physicians in Alaska are primary care physicians (2002 data)◦ U.S. average is 28%
Alaska is 48th in “doctors to residents” ratio◦ 65% are located in Anchorage◦ Shortages in many specialties
59% of the state’s residents are in medically underserved areas.
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Historically, Alaskan health care has incorporated a public health mission and primary care focus, and is less reliant on specialty acute care than other parts of the country.
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Store & Forward vs Real-Time Telehealth
Store & Forward
• Asynchronous Interaction
• Documents & Images• Electronic Medical
Records• Patient Education
• Radiology• Dermatology• Pathology• Oncology• Ophthalmology• Dental
• Cardiology• ENT• GI• Pulmonary• Rheumatology
• Psychology/ Psychiatry• Neurology• Speech therapy• Physical therapy
Clinical specialties for telemedicine
• Face-to-Face Interaction
• Immediate Feedback
Remoteconsultation
Real-Time (VtC)
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10 year Operational History◦ 22,000 cases in 2010
Whole Telehealth Solution◦ Design Manufacturing Deployment Installation Training Support Marketing
Installed Customer base includes:◦ Alaska: 248 sites, 44 organizations 37 Tribal organizations US Army sites (6) & US Air Force bases (3) State of Alaska Public Health Nursing (26)
◦ Other states and countries
0
5,000
10,000
15,000
20,000
25,000
30,000
2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011(Proj)
Case
s Cre
ated
Cases Created per Year (by Role)
Primary Care Specialty Care
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• Best for patient care• Increased access for care• Saves my organization money• Improves patient satisfaction
0% 10% 20% 30% 40% 50% 60% 70%
Best for patient care
Helps me communicate with a doctor
Saves my organization money
Most convenient to the patient
Improves patient satisfaction
Makes me more efficient
Gives me confidence in doing the right …
Increase access to care
High Users 29Medium Users 23
Low Users 51
• “Confidence” is a significant reason for using telehealth for Low and Medium Users.
• None of the High User Initiators listed this as a primary reason for doing telehealth.
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0%
5%
10%
15%
20%
25%
30%
High User Medium User Low User
Gives me confidence in doing the right thing for the patient
7ATHS (Alaska Tribal Health System) (1/1/2001 to 12/31/2010)
$0
$500,000
$1,000,000
$1,500,000
$2,000,000
$2,500,000
$3,000,000
$3,500,000
2001 2002 2003 2004 2005 2006 2007 2008 2009 2010
Annual Travel Savings (by Case Role)
Primary Care Specialty Care
We only assume patients travel to nearest region
Quantity CostClaims Paid by Medicaid 4,482 ($269,894)Telemedicine Prevented Travel
Notes:• Travel is saved for 75% of all patients. • Assume all patients under 18 need an escort• Travel costs based on 1 week advance fares
3,662 $3,116,034
Net Savings Realized by Medicaid $2,846,140
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Note: For every $1 spent by Medicaid on reimbursement, $10.54 is saved on travel costs.
0
200
400
600
800
1,000
1,200
2003 2004 2005 2006 2007 2008 2009
Days
Preventing Lost Work/School Days
Work Days School Days
Since 2003, telehealth prevented an estimated 4,777 lost days at work, and a total of 1,444 lost days at school for the patients in this study.
11Data courtesy of Phil Hofstetter
47%
8%
3%
0%
5%
10%
15%
20%
25%
30%
35%
40%
45%
50%
Pre-Telemed1991-2001(n=1216)
With Telemed
2002-2004(n=276)
With Telemed
2005-2007(n=210)
Perc
ent A
ppoi
ntm
ent A
vaila
bilit
y W
ith 5
M
onth
or L
onge
r Wai
t Tim
e
Comparison of surgical time (actual surgical time – estimated surgical time) for telehealth and non-telehealth cases. Values in the right half of the plot represent cases which took longer than planned (42% of telehealth cases and 47% of non-telehealth cases); values in the left half represent cases that took less time than planned (58% of telehealth cases and 53% of non-telehealth cases)
0%
5%
10%
15%
20%
25%
30%
35%
40%
-3 -2.5 -2 -1.5 -1 -0.5 0.5 1 1.5 2 2.5 3
Perc
ent o
f Pat
ient
s
Actual Surgical Time - Planned Surgical Time (hrs)
NonTelemed
Telemed
The average difference was not statistically different between the two groups: 32 minutes for the telemedicine evaluation group and 35 minutes for the in-person evaluation group
13ATHS (Alaska Tribal Health System) (1/1/2001 to 12/31/2010)
0% 20% 40% 60% 80% 100%
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
ANMC Turnaround Time
Within 60 min.
Same Day
Within 24hrs
20% of all specialty consultations are turned around in 60 minutes.
50%-60% are turned around in the same day.
70%-80% are turned around within 24 hours.
• Speed of response is clearly more important to Initiators compared to Consultant
• High User Initiators - 43% rated this 5 out of 5 (“Extremely Important”)
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0%5%
10%15%20%25%30%35%40%45%
High User (Initiator) High User (Consultant) Medium User (Initiator) Medium User (Consultant)
When using AFHCAN for patient care – how important is the speed of reply of the consulting doctor?
Diabetic Retinopathy is the leading cause of new blindness among adults
Blindness due to diabetes can be eliminated by timely Dx and Tx
~ 4% of AI/AN’s with DM need laser tx to prevent vision loss
Deployment of the IHS-JVN in Alaska using a portable platform reversed a seven year decline in rates for the state
0%
10%
20%
30%
40%
50%
60%
70%
DR
Exam
Rat
e
15% Increase
25% Decrease Portable JVNimplemented
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American Telemedicine Association2011 Mid-Year MeetingSeptember 19-21, 2011Anchorage, AK