Orange Team Ryan Null Project Manager CS 411 Orange Team

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Orange Team
Ryan Null
Project Manager
CS 411 Orange Team
04 May, 2009
04 May, 2009
Old Dominion University: Computer
Science CS 411 Orange Team - HEART
1
Team Orange
Professor Brunelle
Experts
Ryan
Andrew
Spencer
Dr. Daniel Garland M.D.
President of Pathologist
Department
Obici Hospital
Suffolk
Simulation Interface
developer
Sensor Integration
Developer
GUI and Database
Developer
Nicole
David
GUI and Database
Developer
Algorithm and
Integration Developer
04 May, 2009
Old Dominion University: Computer
Science CS 411 Orange Team - HEART
Mrs. Janet Jackson BSN RN
HCMSDM Regulatory
Compliance Manager
Amerigroup Corporation
Virginia Beach
2
Cardiac Rehabilitation Retention
Cardiac patients do not commit to the
long-term rehabilitation necessary to
extend their life.
04 May, 2009
Old Dominion University: Computer
Science CS 411 Orange Team - HEART
3
Societal Cost of Cardiac Failure
The direct and indirect cost to the U. S. in 2008
alone are staggering. [1]
• $156 billion for Cardiac Heart Disease
• $448 billion for Cardio Vascular Disease
[1] http://www.americanheart.org/presenter.jhtml?identifier=3050603
04 May, 2009
Old Dominion University: Computer
Science CS 411 Orange Team - HEART
4
Need for Cardiac Rehabilitation Is
Increasing
• 22 million people experience heart failure
every year [1]
• 5 million people in the United States are living
with a heart condition [2]
• 500, 000 additional cases are diagnosed each
year
[1] Popular Science Magazine, December 2008, 61 - 63
[2] http://www.americanheart.org/presenter.jhtml?identifier=3047844
04 May, 2009
Old Dominion University: Computer
Science CS 411 Orange Team - HEART
5
80% of Patients Cease Cardiac
Rehabilitation
Rehabilitation Outcomes
Completion of
Rehabilitation
20%
Survival Absent
Rehabilitation
17%
Pre-Mature Death
63%
Team Orange SBIR page 9
04 May, 2009
Old Dominion University: Computer
Science CS 411 Orange Team - HEART
6
Rehabilitation Exercises Extend Life
Doctor prescribed exercises are essential to
successful rehabilitation.[1]
• Increased heart strength and mobility
• Lower blood pressure, cholesterol, and BMI
• Reduced emotional stress, depression, and
anxiety
[1] http://www.mayoclinic.com/health/cardiac-rehabilitation/HB00017
04 May, 2009
Old Dominion University: Computer
Science CS 411 Orange Team - HEART
7
Challenges to Monitoring Cardiac
Patient Exercise
Team Orange SBIR Appendix J
04 May, 2009
Old Dominion University: Computer
Science CS 411 Orange Team - HEART
8
Tools to Encourage Rehabilitation
Are Needed
According to Dr. Suaya M.D., Ph.D., and lead author of a study in
Circulation: Journal of the American Heart Association.
“We need to find ways to increase the use of cardiac
rehabilitation, because it is used very little by patients
who could benefit a lot…” [1]
The A.H.A. “recommends physicians aggressively
encourage cardiac rehabilitation…”
[1] http://www.americanheart.org/presenter.jhtml?identifier=3050603
04 May, 2009
Old Dominion University: Computer
Science CS 411 Orange Team - HEART
9
Patient Involvement Is Key to
Rehabilitation
A rehabilitation study at Beaumont Hospitals
concluded:
• “Active involvement of the patient and family
is vital to the success of the program.”[1]
And ABC reports
• “[…] If the patient is actively engaged […] they
feel like they have some control over what
they will do and how they will do it.”[2]
[1] https://www.beaumonthospitals.com/health-library/P06321
[2] http://www.abc.net.au/rn/healthreport/stories/2007/2023663.htm
04 May, 2009
Old Dominion University: Computer
Science CS 411 Orange Team - HEART
10
Current Rehabilitation System
Team Orange SBIR page 11
04 May, 2009
Old Dominion University: Computer
Science CS 411 Orange Team - HEART
11
Goals of Cardiac Rehabilitation
Retention Solutions
Lifestyle Education
• Increase involvement in rehabilitation process
• Illustrate concrete benefits of changes through
historical data
Support
• Accountability and control of exercise regimen
• Positive feedback on progress
Team Orange SBIR page 9-10
04 May, 2009
Old Dominion University: Computer
Science CS 411 Orange Team - HEART
12
Heart Exercise Accelerometer
Rehabilitation Tool
• Contains mechanics to monitor and record patients’
heart rate, exercise type, repetitions, and duration
each time they exercise
• Give feedback to reinforce positive progress with
reports on exercises performed and heart strength
• Be utilized during rehabilitation, home exercises, and
patient follow-ups
• Be non-intrusive and not substantially modify
established rehabilitation processes
04 May, 2009
Old Dominion University: Computer
Science CS 411 Orange Team - HEART
13
Modified Rehabilitation System
Team Orange SBIR page 12
04 May, 2009
Old Dominion University: Computer
Science CS 411 Orange Team - HEART
14
H.E.A.R.T. Technical Overview
Team Orange SBIR page 13
04 May, 2009
Old Dominion University: Computer
Science CS 411 Orange Team - HEART
15
H.E.A.R.T. Cardiac Patient Use
Team Orange SBIR page 14
04 May, 2009
Old Dominion University: Computer
Science CS 411 Orange Team - HEART
16
Patient and Rehabilitation Software
Team Orange H.E.A.R.T. Prototype User’s Manual
04 May, 2009
Old Dominion University: Computer
Science CS 411 Orange Team - HEART
17
Cardiac Patient Software Report
Team Orange H.E.A.R.T. Prototype User’s Manual
04 May, 2009
Old Dominion University: Computer
Science CS 411 Orange Team - HEART
18
Required Measurements for
Cardiac Rehabilitation Tools
Team Orange SBIR Appendix J
04 May, 2009
Old Dominion University: Computer
Science CS 411 Orange Team - HEART
19
H.E.A.R.T. Capabilities
Team Orange SBIR page 16
04 May, 2009
Old Dominion University: Computer
Science CS 411 Orange Team - HEART
20
Target Market: Rehabilitation
$1,200,000
$1,000,000
Rehabilitation Market
Analysis
$977,421
Profit in Dollars
$800,000
$600,000
$434,898
$400,000
$200,000
$67,931
$0
Large
Medium
Small
Team Orange SBIR Appendix B
04 May, 2009
Old Dominion University: Computer
Science CS 411 Orange Team - HEART
21
H.E.A.R.T. Risk Analysis
Probability
Not Likely
Impact
Low
Moderate
Extreme
T1, F1
High
F2
C1
C2
T2
Moderate
T3
High
Expected
F3
Low
Negligible
Item
T1
T2
T3
Item
F1
F2
F3
Item
C1
C2
04 May, 2009
Technical Risks
Hardware and Software Interoperability
Hardware and Software Accuracy
Malfunction (Device and Software)
Financial Risks
FDA Rejection
Insurance Rejection
Market Competition
Customer Risks
Rehabilitation Rejection
Proper Utilization
Probability
2
1
3
Probability
2
2
4
Probability
3
2
Old Dominion University: Computer
Science CS 411 Orange Team - HEART
Impact
5
3
3
Impact
5
4
3
Impact
4
3
22
Budget Overview
Phase
Staffing
Hardware Phase Total
Phase 1 (6 months)
$23,835
$1,599
$99,800
Phase 2 (Two Years)
$567,034
$137,397
$704,430
Phase 3 (Per Year)
$362,028
$266,044
$628,072
Total Phases 1-3
$952,897
$405,040 $1,357,937
Team Orange SBIR page 29 - 31
04 May, 2009
Old Dominion University: Computer
Science CS 411 Orange Team - HEART
23
H.E.A.R.T. Prototype Constraints
Condition
Type
Effect on Requirements
Cost prevents integration of
a programmable unit and
hard-wired sensors.
Cannot demonstrate
synchronization without
hard-wired sensors.
Constraint
Simulation Interface uses
third-party and proprietary
software to integrate.
Synchronization between
GUIs and prototype will be
simulated.
Prototype GUI’s are not
fully developed.
Algorithms discriminate
unknown exercises
Constraint
Installation of GUI will not
be demonstrated.
Assumption
A representative set of
exercises has been selected.
Patient will use proper
form for exercises.
Assumption
04 May, 2009
Constraint
Discrimination complexity
reduced by consistent data.
Old Dominion University: Computer
Science CS 411 Orange Team - HEART
24
H.E.A.R.T. Prototype
04 May, 2009
Old Dominion University: Computer
Science CS 411 Orange Team - HEART
25
H.E.A.R.T. Prototype Demo
Please refer to the H.E.A.R.T. Prototype
Demonstration Scenarios Handout
04 May, 2009
Old Dominion University: Computer
Science CS 411 Orange Team - HEART
26
H.E.A.R.T. Risk Mitigation
Not Likely
Impact
Extreme
High
Moderate
Low
Probability
Moderate
High
Expected
T1
T3
C2
C1
T2
Low
Negligible
Item Technical Risks
T1
Probability Impact
Hardware and Software Interoperability
T2
Hardware and Software Accuracy
T3
Malfunction (Device and Software)
Item Customer Risks
C1
C2
04 May, 2009
Rehabilitation Rejection
Proper Utilization
Old Dominion University: Computer
Science CS 411 Orange Team - HEART
1
5
2
1
3
3
Probability Impact
2
1
4
3
27
H.E.A.R.T. Conclusion
Financial Incentives
• Generate historical data on exercises and their
associated heart rate for scientific study and
innovation
• Reduce health care costs by decreasing future
cardiac intervention and hospitalization
04 May, 2009
Old Dominion University: Computer
Science CS 411 Orange Team - HEART
28
H.E.A.R.T. Conclusion Cardiac
Rehabilitation Patient Incentives
The patient will
• Be involved in managing their rehabilitation
through feedback on progress
• Develop and maintain positive long-term
lifestyle changes as recommended by their
rehabilitation specialists
• Be educated and accountable for their long
term exercise and rehabilitation regimen
04 May, 2009
Old Dominion University: Computer
Science CS 411 Orange Team - HEART
29
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