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Appendix E: Resource Availability Systems
The proposed National System would improve the regulating
function by improving access to resource availability information, in
particular the availability of medical and transportation resources in an
affected area (in order to help determine whether sufficient assets are in the
area to treat and transport patients and evacuees) and outside the affected
area (in order to help determine potential locations to where patients and evacuees could be transported).
The table below describes systems currently in use—and
with future development potential—that capture resource availability
information. They vary in any ways, including the frequency with which they
are used (every day or only for declared emergencies) and the number of
resources they track (ranging from one to dozens). There is also an important
distinction between inventories that list "baseline" resources (e.g. total
hospital beds) vs. real-time available resources (e.g. hospital beds available
today). The sections following the table describe each current system in
detail. The purpose of this review is to highlight the primary examples of
existing systems, rather than provide a comprehensive directory of all existing systems.
|
Resource System |
Attributes |
Control |
Feasibility of
Use/Development |
|
Existing
Baseline/inventory Systems |
|
Hospital Bed Size |
Annual Survey |
American Hospital Association |
In widespread use, straightforward to access |
|
Nursing Home Bed Size |
State Assessments, reported to CMS via OSCAR database |
States and CMS |
In use by CMS and researchers, accessible but less
straightforward |
|
Home Health Agency Size |
State Assessments, reported to CMS via QIES. HHA capacity is
more elastic and can expand more quickly than facility-based care. |
States and CMS. |
In use by CMS and researchers, accessible but less
straightforward. |
|
Homeless Shelter Capacity |
State Assessments, reported to HUD |
States and HUD |
Accessible but not straightforward |
|
Disaster Shelter Capacity |
Information comes from every potential Red Cross disaster
shelter |
National Disaster Shelter System |
Under construction; will be straightforward to use |
|
Prisons & Jails |
Cell/bunk space |
Jurisdiction level (county, State, Federal Bureau of Prisons)
but little sharing among jurisdictions |
|
|
Transportation |
Varies widely |
Municipalities, private firms, airlines, etc. |
Unexplored |
|
Mixed-Asset Resource Inventories |
Several designed, few in use |
Rarely deployed |
Might be deployed by more communities in the future |
|
Existing Real-Time
Resource Availability Systems |
|
Numerous Hospital Bed Availability Systems |
Some require new/frequent data entry, others pull data from
other systems. |
Local, county, region (each system has different potentials) |
HAvBED explored pulling data from numerous/diverse local
systems; it has not yet been implemented beyond a small test |
|
Jail and Prison Availability Systems |
Each jurisdiction knows how many cells/bunks are empty. |
Jurisdiction level; not aggregated into an automated real-time
database nationwide. |
|
|
Mixed Asset Availability Systems |
Various tools exist; some more widely deployed than others |
Local, county, region (each system has different potentials) |
|
CMS = Centers for Medicare and Medicaid Services; HAvBED = Hospital Available Beds for Emergencies and Disasters; HHA = home health agency; HUD = Department of Housing and Urban Development; OSCAR = Online Survey, Certification, and Reporting System; QIES = Quality Improvement Evaluation System.
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Hospital Assets
Hospital Baseline Resource Inventories
The American Hospital Association (AHA) conducts an annual
survey to identify the number, size, and attributes of all U.S. hospitals,
including psychiatric, children's, long term care, rehabilitation and general
acute care hospitals. This survey is the standard widely-used data source for
information about U.S. hospital capacity. With the cooperation of State and Metropolitan Hospital Associations, the AHA
achieves a very high response rate and the database contains information on
6,000+ hospitals and health care systems, including more than 700 data fields
covering Organizational Structure, Personnel, Hospital Facilities and Services,
and Financial Performance. As hospital addresses are included, hospital
capacity can be identified at the national, State, county and city levels.
AHA data could be used to pre-populate a database with a baseline inventory of
capacity for every hospital in the country. Bed counts change little from one
year to the next, although hospitals do change their bed arrangements, open or
close wings, etc. Data on each hospital include:
-
Total staffed and licensed beds.
-
Medical/surgery beds.
-
Pediatric beds.
-
Intensive Care Unit (ICU) and Pediatric Intensive Care Unit (PICU) beds.
-
Burn beds.
-
Psychiatric beds.
-
Rehabilitation beds.
-
Skilled nursing beds.
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Hospital Real-time Availability Systems
A common resource availability system is one that displays
the diversion status (i.e., is the hospital emergency department accepting new
patients) of all hospitals in a region. Many major urban areas have such a
system. Participating hospitals enter key data (e.g., whether they are
accepting new patients or the number of beds available) on a Web page. This
helps emergency responders know where they can take patients, and it helps
hospitals avoid having patients brought to them that they cannot accommodate.
These systems only inform responders that a hospital is unable to take
additional patients; other systems have been developed that report on the
availability of beds available in a hospital that still has space.
These systems include local "every day" bed
availability systems A widely used non-commercial application is
ReddiNet (Rapid Emergency Digital Data Information Network).76
Originally built in the 1980s for use in Los Angeles, ReddiNet has been
modernized by the Hospital Association of Southern California, and is used 17 California counties. ReddiNet tracks hospital diversion status and resource availability,
as well as alert and incident management functions.
There are also local "activated" bed availability
systems. With activated systems, an alert is issued to hospitals and
other participating organizations, that are asked to enter resource
availability information into a Web site. The resources asked for depend on
the nature of the emergency. As with the "every day" systems described above,
the activated systems are intended to improve communication among hospitals,
dispatch centers, emergency responders, and public health officials. Web-based
systems have replaced earlier "fax alert" and voice communication systems. The
extent to which these systems have been implemented across the country is not
known, although there are state-wide implementations of systems in New York (the HERDS system); Maryland, Pennsylvania, and Delaware (the FRED system); and Washington, Oregon, and South Carolina (Harborview Medical's system). Another large activated resource availability system is the National Disaster Medical System (NDMS). When NDMS is activated, the 1,656 participating hospitals report to
Federal Coordinating Centers (FCCs) the current number of available beds and
the maximum number that could be made available in 24 and 48 hours.77
Facilities Resource Emergency Database (FRED). In response to 9/11, the State of Maryland wanted to implement a system that would improve communication among all hospitals,
emergency responders, and public health agencies in the State. Officials
considered purchasing a commercial resource availability system but decided to
develop their own. Subsequently, the Maryland Institute for Emergency Medical
Services Systems (MIEMSS) developed the Facilities Resource Emergency Database
(FRED) system. MIEMSS has also provided FRED to Pennsylvania and Delaware, where FRED is used statewide. FRED has about 400 participating organizations
across Maryland, including hospitals, dispatch centers, and, most recently,
nursing homes, which were added to the system in the aftermath of Katrina.
Staff at these organizations have Web browsers directed to the FRED alert
page. Depending on the nature of the alert, organizations may be asked to
provide resource availability information. For example, an alert could be
issued for all dispatch centers to enter the number of available ALS units. MIEMSS
staff used national standards in developing resource lists, including those
used in the National Incident Management System (NIMS)78
and the Strategic National Stockpile.79
HERDS. New York State's Health Emergency Response Data System (HERDS) is another example of an "activated" resource tracking system. The New York State Department of Health developed this system to report resource needs and, as noted in the
previous section, for entering patient names so that the public can determine
where mass casualty incident victims have been transported. HERDS staff
participated in the HAvBED project, and developed an interface to report HERDS
bed availability data to HAvBED. With HERDS, hospitals can report availability
(or urgent needs) for the a number of different resources, including beds,
medical equipment, personnel, antibiotics, antidotes, blood, medical supplies,
and pharmaceuticals.
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National Hospital Availability Systems (HAvBED)
AHRQ funded Denver Health to develop the National Hospital
Available Beds for Emergencies and Disasters (HAvBED) System. The goal of this
project was to "develop, implement and evaluate a real-time electronic hospital
bed tracking/monitoring system that will serve as a demonstration management
tool to assist in a system/region's ability to care for a surge of patients in
the event of a mass casualty incident."80
HAvBED could in theory be activated within a county, State, region or even
nationally, during an Incident of National Significance.
The HAvBED team focused on acquiring bed availability data
from existing systems, rather than replacing existing systems. HAvBED assumes
that local communities will continue to purchase and use systems that meet
their own needs and that HAvBED should acquire information from these systems
rather than requiring hospital staff to "double enter" bed availability information.
HAvBED included development of data standards for defining
and communicating bed availability. Through a collaborative process involving
many stakeholders, the project used the bed definitions in the National
Disaster Medical System (NDMS) and added a 24-hour and 72-hour availability to
each of the six bed types. HAvBED also includes Emergency Department status
(open, closed, or N/A), mass contamination facility availability (available or
not available), and number of available ventilators. These data elements and
the protocol for exchanging these data are now part of the Emergency Data
Exchange Language (EDXL), which is part of the U.S. Department of Homeland Security's
Disaster Management eGov Initiative.81
HAvBED underwent a 1-month test. Three project partners
provided data electronically, using XML: the Washington Hospital Capacity
System, EMSystem, and HERDS. During the test period, when hospital staff and
the partner systems were feeding data to HAvBED, bed availability data were
provided once a day. The HAvBED report acknowledges "In day-to-day patient
transports, bed availability is a second-by-second issue. Having data entered
once a day is not timely enough for this application." Improving data
timeliness without increasing the burden on data providers will be a challenge
for HAvBED. Denver Health is currently enhancing HAvBED with funding from AHRQ.
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Nursing Home Assets
Baseline Resource Inventories
Nursing homes are inspected by State agencies, and data
about size, composition and other facility-level characteristics are
collected. The information collected regularly and reported to the Centers for
Medicare and Medicaid Services' (CMS). CMS's Online Survey, Certification, and
Reporting (OSCAR) database contains information on facility-level
characteristics. OSCAR data results from onsite survey inspections of
facilities by the State survey agencies. These onsite facility evaluations
occur at least once during a 15-month period. State survey agencies are
responsible for entering survey information into the OSCAR database at the State
level and then transmit, in a standardized format, to CMS. Information on the
nursing homes' characteristics are prepared by each nursing home at the
beginning of the regular State inspection and reviewed by the nursing home
inspectors. The OSCAR database holds the nursing home characteristics and
health deficiencies issued during the three most recent State inspections and recent complaint investigations.
Information collected, entered into the OSCAR database and transmitted to CMS includes facility characteristics (such as bed size, ownership type), staff information (employee and agency), and
aggregate health status resident information and deficiency information.
CMS also has a public Web site, Nursing Home
Compare (http://www.medicare.gov/NHCompare/Include/DataSection/Questions/SearchCriteriaNEW.asp),
which has information on all Medicare/Medicaid certified nursing homes.
Searches can show the nursing homes in a State, county, or distance from a
Zip code. Information on each nursing home includes name, address, total number
of certified beds, type of ownership, whether the facility is located in a
hospital, and if it is owned by a multi-home organization. Data from OSCAR
provides the facility characteristic information and data from Minimum Data Set (MDS) provides
facility-level quality measures. There may be a fairly long lag time before
the information from these two databases is updated on the Nursing Home Compare Web Site.
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Real-time Availability Systems
Nursing homes are required to assess their patients within
5 days of intake and report data to State agencies, who in turn report it to
CMS of the Department of Health and Human Services (HHS). These data are updated
every 15-30 days. This system could be used to estimate the number of
available beds on an "average" day, but the lags and multiple steps in
acquiring data would probably make this an unacceptably inaccurate source for real-time availability data.
The "activated" hospital bed availability called FRED
(discussed above) has been adapted to include nursing homes. We are unaware of
other real-time availability systems for nursing home beds, and to our
knowledge none of the systems described above for hospitals have incorporated
such data for nursing homes (although they could potentially do so).
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Home Health
Baseline Resource Inventories
As with nursing homes, State agencies certify home health
agencies regularly, and report information about each HHA to CMS. At the
national level, the Quality Improvement Evaluation System (QIES) includes all
aspects of data collection and reporting on home health agencies. The QIES
includes HHA-level characteristics collected by the State survey agencies such
as agency name, address, telephone number, services offered and type of
ownership. Each State survey agency is responsible for entering and updating
the information into the QIES database. The QIES also includes all OASIS
assessment information that is submitted by the HHAs to their State survey agency.
CMS also has a public Web site, Home Health Compare (http://www.medicare.gov/HHCompare/Home.asp), which
has information on all Medicare certified nursing homes. A search of agencies
provides the name, address, services available, and home health quality
measures of agencies in a specified State, county or zip code. The system does
not have information on the number of patients served by each HHA.
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Real-time Availability Systems
There are no real-time availability systems for home
health, and no mechanism to determine how many additional home health patients
could be accommodated in a particular geographic region. Home health care is
somewhat elastic as it involves hiring more nurses, not building more "brick
and mortar" infrastructure, so there is no licensed size limitation for an HHA and no finite capacity.
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Shelter Assets
Baseline Shelter Resource Inventories
Local Homeless Shelter Inventories.
Continuums of Care use electronic systems to coordinate/integrate services for
their clients. They also report data about the services provided (number of
clients, number of nights, etc.) to State agencies and then to HUD. The
capacity (in beds, rooms, apartments) of each shelter changes little from year
to year, and these data are maintained by States and by HUD in a readily
accessible database. The beds are grouped by
Emergency Shelter, Transitional Housing, or Permanent Supportive Housing. The
bed information is broken out by family units/family beds/individual bed,
seasonal beds and overflow. They also have codes for various subpopulation and
special needs served by the program, such as "domestic violence" or
HIV or simply "male" or "female" if its a single-sex facility.
National Disaster Shelter Inventories. The
National (disaster) Shelter System is contains records from over 40,000
shelters include their capacity (how many people can take shelter in the
facility) and several important functions like food preparation,
back-up-generators, and heat. In an emergency, the system can also show
remaining available capacity, so managers can know when the shelter is "full".
(Note that the Coordinated Assistance Network [CAN] is the companion shelteree tracking system that records information
about each person entering a disaster shelter.)
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Real-time Shelter Availability Systems
Local Homeless Shelter Availability Systems.
Most Continuums of Care that receive Federal funding use electronic systems
that report not only on services provided, but also on service availability.
Many of these systems also function as "reservation" systems so that social
service agencies can locate a bed (or other services) for a homeless person.
Each of these systems operations locally and data are not reported on a real
time basis. There are a number of information technology (IT) vendors in this market, Systems like this
generate reports on available services, including homeless shelter beds. Each
of these systems is operated locally and data are not reported on a real time basis.
An alternative approach would be to activate an emergency availability system—rather than using one that was created for everyday management of shelter client needs. The Boston implementation of Web EOC has a bulletin board where individual shelters can enter the following information:
- Status—open or closed.
- Location.
- Date/time of last update.
- "Feeding space", including the number used and the number open each day.
"Sleeping space", including the number used and the number open each day.
National Disaster Shelter Availability Systems.
Ultimately, the American Red Cross's (ARC) National Shelter System will provide the
ability to report bed availability at each activated shelter, so managers and
disaster coordinators will know when a shelter is "full." This capability,
however, does not currently exist, as the ARC has focused first on obtaining bed capacity data.
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Transportation Assets
Baseline Transportation Resource Inventories
Local Transportation Inventories. Most
jurisdictions have information about the number of ambulances, medivac
helicopters, buses, etc. in local private fleets, as well as in fire
departments and other public/municipal fleets. Emergency Managers may have
up-to-date—but probably not universal—lists from such sources at the local
level, or can quickly assemble lists with a series of phone calls. This
information is not, however, in an accessible database that can be linked to a national system.
Port authorities and public transportation systems
similarly have information about the number of trains, subways, buses and other
vehicles in the public domain, and can quickly share this with emergency
managers. Again, this information may not be in an accessible database that could link to a national system.
Regional trauma coordination includes deployment of
medical evacuation "air ambulances"; the number of appropriately equipped
planes and helicopters (and pilots) is known within each trauma region.
Depending on the State, this information may also be aggregated at the State level.
National Transportation Inventories. For
transportation assets, any transit agency that receives Federal funds must
submit annual reports to the U.S. Department of Transportation's Bureau of
Transportation Statistics (BTS). Thus, the BTS has baseline or inventory data from transit agencies.
The Department of Defense has a full baseline inventory of
its transportation assets (and knows real-time availability as well). The
Department of Transportation knows its owned assets, and contracts with many
vendors whose transportation assets are also known. Amtrak has a full and
reasonably up-to-date inventory of its rail assets. Airlines (and perhaps the
FDA) know the number of functional planes in their fleets.
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Real-time Transportation Availability Systems
Any public or private organization that manages a sizable
fleet of vehicles will have computer systems that maintain status information
(e.g., in service/out of service) on their vehicles. Such organizations
include those that operate buses (public transit agencies, school districts,
and private contractors), taxis and ambulances (public agencies and private
contractors), airplanes (commercial, private, and military), boats (public and
private contractors), helicopters (local rescue and law enforcement agencies,
military, privately owned), and trains (subway, local commuter rail, and AMTRAK).
These computer systems are especially important for
ambulances, because their availability status changes frequently and because a
fast response is critical. Computer-aided dispatch (CAD) systems for fire and emergency medical service (EMS) units have existed for over 25 years and dozens of vendors sell these systems.
Dispatchers at 911 centers answer emergency calls for service, enter details
about the call (e.g., date, time, type of emergency) into the CAD system, and
then assign one or more response units (e.g., an ALS or BLS ambulance) to the
call. When units have delivered their patient to the hospital, they radio the
911 center and the unit's status is changed to "available." To carry out these
functions, CAD systems keep track of which response units are assigned to calls
and which are available for dispatch. Some CAD systems are city-based; they
track, for example, the availability status of all ALS and BLS ambulances in the
city. Others are county-based. Some are operated by private ambulance
companies whose response units provide services to several communities. As
with the patient tracking software applications, CAD systems are independently
developed in the absence of any data standards.
CAD systems have built-in rules (which dispatchers can
overwrite) for how many and what type of response units should be dispatched to
a particular type of call. CAD systems also typically recommend specific units
for dispatch, based on the unit's last known location and the incident
location. These rules and recommendations are for common types of incidents—fires, car accidents—and do not cover circumstances like evacuating an entire
hospital, which would quickly exhaust all the response units. In the event of
a major incident, commanders would seek additional transportation assets from
such organizations as public transit companies, the National Guard, the
military, or private organizations with large numbers of vehicles, such as
private bus, package delivery, or interstate freight companies. Crisis
management information systems would also be activated to help manage these incidents.
76. http://www.reddinet.com/index.html
77.
As reported in the HAvBED final report, National Hospital Available Beds for Emergencies and Disasters (HAvBED) System: Final Report. AHRQ Publication No. 05-0103, December 2005. Agency for Healthcare Research and Quality, Rockville, MD.
78. http://www.nimsonline.com/resource_typing_system/index.htm
79. http://www.bt.cdc.gov/stockpile/
80.
National Hospital Available Beds for Emergencies and Disasters (HAvBED) System: Final Report. AHRQ Publication No. 05-0103, December 2005. Agency for Healthcare Research and Quality, Rockville, MD. Available at https://www.ahrq.gov/research/havbed/.
81. http://www.whitehouse.gov/omb/egov/
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