Title: An HIE Business Model for Rural Areas: Elusive as a Jackalope
1An HIE Business Model for Rural Areas Elusive as
a Jackalope?
Preliminary Notes from a Western Nebraska
Collaborative
- Partial funding supplied by
- AHRQ THQTHIT Implementation Grant 1 UC1 HS
16143-01 - AHRQ THQTHIT Planning Grant 1 P20 HS015365-01
- HRSA RND Grant D06RH06884
2(No Transcript)
3 14,000 square miles 90,000 people 8 of
the 12 counties have less than 7 persons/square
mile
4- Population
- Poorer than in other parts of Nebraska and U.S.
- 40 live at or below 200 of federal poverty
level - Aging
- 21 over 60
- 40 of these over 75!
- Racial and ethic minorities 13
- Nebraskas largest Native American population
without a reservation
5- Less access to insurance
- Next to last in Nebraska region with persons
18-64 with no health insurance - Higher unintentional injuries, motor vehicle
deaths, and suicide rates - Impact of drought 75 drop in farm incomes
6During the past month alone
- A Rough Script of Life, if Ever There Was One
- Chadron, Nebraska
- Item from the blotter of the Chadron Police
Department Caller from the 900 block of Morehead
Street reported that someone had taken three
garden gnomes from her location sometime during
the night. She described them as plastic, with
chubby cheeks and red hats
September 2007, pp 40-44, 66
September 2, 2007 Sunday, Section 1, p. 12, DAN
BARRY
7Brutal Facts - HIT Initial Ongoing Costs is
Adoption Barrier for Hospitals
American Hospital Association. (2007). Continued
progress Hospital use of information technology.
Washington, DC Author, p. 15.
8 HIT Ongoing Costs is Barrier for Smaller
Rural Hospitals
American Hospital Association. (2007). Continued
progress Hospital use of information technology.
Washington, DC Author, p. 16.
9 HIT Initial Ongoing Costs is Barrier for
Rural Hospitals
Schoenman, J.A. (2007). Small, stand-alone, and
struggling The adoption of health information
technology by rural hospitals. (Working Paper
2007-02). Bethesda, MD Walsh Center for Rural
Health Analysis, p. 20.
10Operating Revenue Sustainability Suspect
- RHIOs continue to rely on grants for the lions
share of revenues. RHIOs at all stages of
development continue to anticipate the need for
ongoing grant income - Startup-stage RHIOs reported increased
percentages of income from grants, up from 73
for 2006 to 84 for 2007.
Healthcare IT Transition Group. (2007,
September). Sustainable RHIO funding and the
emerging business model. Retrieved Executive
Summary on September 10, 2007 from
http//www.hittransition.com/rhio2007/
11- FOUNDING PARTNERS
- Rural Nebraska
- Healthcare Network and
- its members
- Box Butte General Hospital
- Chadron Community Hospital
- Garden County Health Services
- Gordon Memorial Hospital
- Kimball Health Services
- Memorial Health Center
- Morrill County Community Hospital
- Perkins County Health Services
- Regional West Medical Center
- Panhandle Community
- Services Health Clinic
- Panhandle Mental Health
- Center
- Panhandle Public Health
- District
12Goals for Western Nebraska Health Information
Exchange
- Financial Sustainability
- Makes sense for Partners (Financially? Quality
of care? Functional Improvement?) - User-friendly
- The business model is impacted by all three!
13Our Approach to Modeling
- Two levels
- HIE as an organization
- AND
- Projections for partnering organizations
Western Nebraska Health Information Exchange
Partner
Partner
Partner
Partner
Partner
Partner
14Limitations
- Estimating vendor implementation and support
costs - Comparability of some partner data suspect
- Hospitals clinic information
- Hospitals nursing homes
- Hospitals assisted living facilities
- Acute swing beds behavioral health beds
- Some estimated percentages are based on national
research (some HIE others EMR!), others educated
estimates, and still others educated guesses - THIS IS PRELIMINARY, PROJECTED INFORMATION!
15Ways We Are Calculating
Western Nebraska Health Information Exchange
- Annual Revenues and Expenses Over Five Years
From Implementation to Production - Cash Flow and Financing Needed
- Balance Sheets
- Shock Projections
DUMMY EXAMPLES TO FOLLOW!
16WNHIE - Revenues
Western Nebraska Health Information Exchange
- Phased over three years and production two years
- Operating
- Subscription
- Usage fees
- Click fees
- Other
- Grants/Contributions
- Loans/Financing
- Generated From
- Partnering orgs
- Others who benefit (insurers, outside labs)
17Expenses
Western Nebraska Health Information Exchange
- Operating Costs
- Cash
- Staff - Executive Director, Secretary
- Consultants IT, Legal, HIT
- Supplies, Furniture, Postage, Rent, Licenses,
Computers, Copying, Meetings, Trainings,
Accounting, PR/Advertising - HIE Maintenance
- Interest Payment
- Non-cash
- Depreciation
- Capital
- HIE Installation
- IT
??
18Dummy R E Worksheet
Western Nebraska Health Information Exchange
19Shock Projections
- For example
- Only achieve 85 of revenues
- Exceed costs by 15
Cumulative Break-Even
20An Example
21Bottom Line Likely Goal
Western Nebraska Health Information Exchange
- Sustainable during 5 years at which point we will
either be expanding or it will start not being
sustainable.
22Partners Who Will Exchange Info
Partner
- Hospitals
- 1 Large Network Hospital (182 bed)
- 8 Critical Access Hospitals (each independent)
- Federally-Qualified Health Center
- Behavioral health
- Public health
- Commercial Insurers
- Doctors 200 in region (many employed by
hospitals) - Pharmacies 35 in region
- Pharmacy Benefit Managers
- Labs 2 major independent
- Others
- Medicaid
- Large private employers
- Large public employers
23Partners
Partner
- Projecting the impact of the HIE on their
operations - Initially focusing on the hospitals in our
calculations
24PARTNERS
Partner
Even among our hospital partners there is widely
varying levels of sophistication and of products!
3 hospitals - No EHRs, no computers at key work
sites, no functional network.
Regional West Medical Center McKesson Most
Wired Rural Hospital (2003, 2004)
1 Physician-designed not interoperable
1- CPSI 1 - Dairyland
Clinic-only EHR
25Critical Access Hospitals
- Medicare payments cost-based (rather than fixed
cost) plus 1 for inpatient, outpatient, and
post-acute care services. - Capital improvement costs (i.e. depreciation and
interest expenses) are allowable costs for
determining Medicare reimbursement.
26Western Nebraska Insured Patients Profile
approximate (Uninsured 30)
27Impact onPartners
Partner
- Fiscal
- Efficiencies
- Quality of Care (priceless)
28Benefits Projections
Partner
- Administrative Transactions
- Based on actual current costs and projected
charge through HIE - Accounts Receivables
- Accelerating 5 of annual volume and capturing
5 of that (opportunity costs, administrative
costs) - Uncollectibles
- 10 decrease in annual uncollectibles
- ADEs
- 25 reduction in the estimated 31 in admissions
_at_ avg cost per patient
1. Brennan T.A. Leape L.L. (1991). Adverse
events, negligence in hospitalized patients
Results from the Harvard Medical Practice Study.
Perspectives in Healthcare Risk Management, 11,
2-8.
29Benefits Projections
Partner
- Labs
- Hospitals - 10 reduction in total labs ordered _at_
average cost per lab - Outpatient 9 reduction in total labs ordered _at_
average cost per lab
- Estimate based on mix of EMR vs. HIE studies
- Tierney et al. published the results of three
prospective randomized controlled studies to
examine the impact of electronic information on
physician test ordering behavior. In each of
these studies the authors found that the volume
of tests decreased between 9 and 16.8.
(Tierney, W.M., McDonald, C.J., Martin, D.K.,
Rogers, M.P. (1987). Computerized display of past
test results. Annuals of Internal Medicine, 107,
569-574. Tierney, W.M., McDonald, C.J., Hui,
S.L., Martin, D.K. (1988). Computer predictions
of abnormal test results. JAMA, 259, 1194-1198
Tierney, W.M., Miller, M.E., McDonald, C.J.
(1990). The effect on test ordering of informing
physicians of the charges for outpatient
diagnostic tests. New England Journal of
Medicine, 322, 1499-1504.) - Girosi, F., Meili, R., Scoville, R. (2005).
Extrapolating evidence of health information
technology savings and costs. Santa Monica, CA
RAND Corporation. -
30Benefits Projections
Partner
- Radiology
- Hospitals - 10 reduction in total cost of
radiology - Outpatient 15 reduction in total cost of
radiology
Girosi, F., Meili, R., Scoville, R. (2005).
Extrapolating evidence of health information
technology savings and costs. Santa Monica, CA
RAND Corporation.
31Benefits Projections
Partner
- Length of Stay
- 15 reduction in length of stay
Girosi, F., Meili, R., Scoville, R. (2005).
Extrapolating evidence of health information
technology savings and costs. Santa Monica, CA
RAND Corporation.
32Benefits Projections
Partner
- Chart Management
- Hospitals 50 reduction in Medical Records
Personnel Costs - Outpatient 36 reduction in Medical Records
Personnel Costs
Girosi, F., Meili, R., Scoville, R. (2005).
Extrapolating evidence of health information
technology savings and costs. Santa Monica, CA
RAND Corporation.
33Benefits Projections
Partner
- Medical Staff Time
- Docs - 5 increase in efficiency
- Nurses 11 increase in efficiency
- Poissant, L., Pereira, J., Tamblyn, R.,
Kawasumi, Y. (2005). The impact of electronic
health records on time efficiency of physicians
and nurses A systematic review. Journal of the
American Medical Informatics Association, 12,
505-516. - Girosi, F., Meili, R., Scoville, R. (2005).
Extrapolating evidence of health information
technology savings and costs. Santa Monica, CA
RAND Corporation. - Overhage, J.M., Tierney, W.M., Zhou, X., McDonald
CJ. (1997). A randomized trail of corollary
orders to prevent errors of omission. Journal of
the American Medical Informatics Association,4,
364-375.
34Cost Projections
Partner
- Productivity loss (3 months, 15 of payroll)
HUGE AMOUNT! - Interface costs (building bridge between systems)
- Subscription/Usage fees to Exchange
Do not include EMR installation/maintenance
35Dummy Partner Summary
Partner
36Bottom Line for Partners?
Partner
- Not about cost savings, but about quality care,
patient safety, and efficiencies.
37BenefitsNot So Much Financial
Schoenman, J.A. (2007). Small, stand-alone, and
struggling The adoption of health information
technology by rural hospitals. (Working Paper
2007-02). Bethesda, MD Walsh Center for rural
Health Analysis, p. 18.
38- Nancy Shank, Associate Director
- University of Nebraska Public Policy Center
- 131 S. 13th Street, Ste 303
- Lincoln, NE 68588-0228
- nshank_at_nebraska.edu
- 402-472-5687