Statewide Real-Time Tracking of Beds and Ventilators During Coronavirus Disease 2019 and Beyond : Critical Care Explorations

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Statewide Real-Time Tracking of Beds and Ventilators During Coronavirus Disease 2019 and Beyond

Merkel, Matthias Johannes MD, PhD1,2; Edwards, Renee MD, MBA3; Ness, Joe MHA, BSPharm3; Eriksson, Carl MD, MPH1,4; Yoder, Susan RN1; Gilliam, Stephanie MN, RN, NE-BC1; Ellero, Katie MHSA1; Barreto-Costa, Coral BA1; Graven, Peter PhD5; Terry, Jeffrey R. MBA6; Heilman, James MD, MBA1,7

Author Information
Critical Care Explorations 2(6):p e0142, June 2020. | DOI: 10.1097/CCE.0000000000000142
  • Open
  • COVID-19



On February 28, 2020, the Oregon Health Authority (OHA) announced that the first preliminary coronavirus disease 2019 (COVID-19) patient had been admitted in the Portland metro area (1). With this case, most health systems in the state transitioned their emergency operations committees (EOCs) from theoretically preparing for COVID-19 in their hospital to being in active operation.

At Oregon Health & Science University (OHSU), this event in a neighboring metro-area hospital system triggered the start of daily EOC meetings to guide our health system’s response to COVID-19. As the only quaternary academic medical center in the state of Oregon, OHSU took the lead in collaborating with the OHA and multiple hospital systems to develop a statewide hospital-capacity response to the pandemic. In 2017, OHSU had already established a Mission Control command center to manage statewide patient access and throughput across the four hospitals in our health system using a centralized, team-based approach (2). Our response to the pandemic was based on this preexisting Mission Control structure, which had already successfully increased access to inpatient beds by creating the equivalent of 18 more hospital beds/day across our health system through the use of real-time information tools and associated procedures and decision rights (3,4).

Prediction models for the COVID-19 surge in Oregon in late February and early March showed a high possibility of exceeding critical resources, such as critical care beds, ventilators, and access to extracorporeal life support (ECLS) only offered at three health systems in the state (5). This grim prospect was further supported by reports from epicenters across the world (6–10).

In order to ensure the highest possible utilization of critical resources to best meet this expected surge and to mitigate the risk of making decisions about resource allocation in silos, thus delaying access to the right level of care at any statewide facility, we collaborated to use the command center technology to track bed- and ventilator-capacity data across all hospitals in the entire state.

This approach builds on Oregon’s preexisting hospital capacity system (HOSCAPS) which tracks overall status (green or red) for emergency department (ED), acute care, and critical care through daily manual entries from participating hospitals, which is similar to systems in place in other states and countries (11,12).

The Oregon Capacity System was created to provide at-a-glance visibility to timely and accurate critical resource information without depending on manual data entry that could fail under pressure. GE Healthcare created the design concept, at OHSU’s request, based on the command center technology framework already in use in OHSU Mission Control (Fig. 1F1). The data are automatically updated every 5 minutes from each hospital’s electronic medical record with specificity to the bed level for both census and ventilators. No patient-identifiable data are collected. Through philanthropy (OHSU Foundation), we secured the necessary funds to offer this technology to all hospitals in Oregon. Collaboration was reached with nearly all institutions in the state, representing 90% of Oregon’s hospital beds on the standardized, automatically updated electronic tracking dashboard.

Figure 1.:
The sketch highlights the digital connection between various type of hospitals across the state to a central data center, via comma-separated-value (CSV) formatted flat files using a secure file transfer protocol (SFTP), which then can be displayed on different displays by state, region, health system, hospital, and down to the unit level showing occupied and available beds and ventilators (VENT). NEG = negative pressure room, OCC = percentage of occupied beds/total beds, OHSU = Oregon Health & Science University, UNOCC = unoccupied.

Our initial approach to all health systems was a personal communication by our health system chief operating officer and chief medical officer to their respective counterparts about the intent and advantages of having linked capacity tracking. A critically important piece was the close connection with leadership in OHA to message the need for real-time data and a shared desire for unification to manage COVID-19 in our state. Recurrent concerns we encountered included the required information technology (IT) resources, so after initial participation agreement was reached, we connected the engineering teams from each hospital with our IT teams at OHSU and GE Healthcare. This quickly resolved concerns about the excess time required for completion. Key for success were a shared vision and the simplicity of the participation requirements. Oregon is the first U.S. state to have this specific system in place across an entire state.


Figure 2F2 shows the timeline of the real-time data-tracking tool. This timeline exemplifies the speed at which an IT project can come together under urgent conditions. It took us 14 days from the initial idea to the first live dataset populating capacity in real time, and an additional 5 days to have it available in an online version.

Figure 2.:
Timeline for real time hospital capacity dashboard. Light blue highlights weekends and red highlights development milestones; orange marks data-release dates. COVID-19 = coronavirus disease 2019, OHSU = Oregon Health & Science University.

Two weeks after the initial live version was published, 85% of Oregon’s hospital beds were displayed with real-time data. First ventilator data (in-use vs available) was available within 4 weeks of initial release.


We created a simple intake process for four required data elements from each participating hospital to simplify and synchronize the required data, independent of the data source (type of electronic health record [EHR]): 1) a “bed master” is provided once to describe the complement of beds and units at each hospital (Table 1T1), 2) a comma-separated-value (CSV) formatted flat file, which provides the census of every bed, is generated by each hospital’s EHR and sent every 5 minutes via secure file transfer protocol (SFTP) to GE Healthcare’s software housed in OHSU’s data center, 3) a CSV flat file is generated by each hospital’s EHR and sent every 5 minutes via SFTP to OHSU’s data center that provides the oxygen source of the patient in each bed (without identifying the patient), and 4) an application program interface provides the manually reported ventilator inventory in HOSCAPS from each hospital twice per day. The existing HOSCAPS system is being updated to provide the near-time bed-census data from this new Oregon Capacity System to complement the bed data available in HOSCAPS used by our Emergency Medical System and many hospital systems’ daily operations and transfer centers to create interoperability.

Hospital Bed Master Template

GE Healthcare streamlined the data requirements and the corresponding technical instructions such that the IT teams at participating health systems could each come online with items 1 and 2 within 3–4 days of signing the participation agreement with less than an hour of applied effort.

Each participating hospital can access the web-based tracking tool with a unique login and password, which ensures security and allows region-specific settings to be saved.

Critically important to this system is that the data in the flat files is created in each hospital’s electronic medical record through the normal processes of care rather than a separate effort to populate this Oregon Capacity System. This ensures the information is accurate. Furthermore, each hospital sends the new extracts every 5 minutes with no human in the loop, ensuring the information is timely and thus actionable. The system design allows surge areas to be captured automatically as long as they are tracked in the local EHR system. Each hospital indicates such changes to its bed configuration structure through the recurring flat files and will be displayed in the Oregon Capacity System in near real time.


The near-time data populates a web application (Fig. 3F3) independent of the electronic medical record used at the participating hospitals. It is designed to be easy to use, with intuitive bed groupings and a color scheme that allows the eye to easily track a particular piece of information (such as negative pressure beds) around the page. At the highest level, the webtool divides Oregon by the well-established regional trauma system (Fig. 4F4). Users can drill down to each trauma region and then to health system, hospital, and eventually unit level. In addition, filters are available to sort by type of beds (adult, pediatric, acute care, critical care, and specialty beds), health system, and within each health system (Fig. 5F5). We also have the ability to add room attributes (i.e., negative-pressure room) or scarce resources—especially useful in critical care—such as ventilators, continuous renal replacement, and ECLS capabilities. This allows our state to manage demand and supply on a regional and statewide level, and also add to each individual health system’s capability to track their bed capacity in real time. When we started this concept 6 weeks earlier, we lacked the ability on a statewide level to understand available hospital-bed capacity and critical care beds, because licensed beds are different than staffed beds. Only the latter is readily available for immediate admissions.

Figure 3.:
Hospital capacity sorted by region and type of bed. Alert circle shows green for less than 90% percentage of occupied beds/total beds (OCC), orange for greater than 90 and less than 95%, and red for greater than 95% OCC. Timestamp: April 26, 2020, at 2:00 pm. CAP = bed capacity, CENSUS = currently admitted patients, MT/MS = medicine telemetry/medicine surgery acute care bed, NICU = neonatal ICU, NP = negative pressure beds, OB = obstetric beds, obs = observation bed, PCU = progressive care unit, UNOCC = unoccupied.
Figure 4.:
Example snapshot visual from Oregon Capacity System of statewide bed utilization overlaid to the Oregon Trauma Regions Oregon Trauma Region System Each region has a major hospital hub identified as regional hospital by the Oregon Health Authority. Regions 4 and 8 are incorporated into adjacent regions. PST = Pacific Standard Time.
Figure 5.:
Oregon Capacity System showing bed and ventilator availability for region 1—Portland metro area. Timestamp: April 26, 2020, at 2:00 pm. CAP = bed capacity, CENSUS = currently admitted patients, MT/MS = medicine telemetry/medicine surgery acute care bed, NICU = neonatal ICU, NP = negative pressure beds, OB = obstetric bed, Obs = observation bed, OCC = percentage of occupied beds/total beds, PCU = progressive care unit, UNOCC = unoccupied.

Our major concern was that any one health system in our state would be overrun with an influx of patients “despite” having sufficient capacity within the state or region to care for these patients. Adding this statewide capacity overview to OHSU Mission Control and making it readily available for every health system in the state allowed us, in partnership with the OHA and all major health systems in the state, to overcome common barriers for effective collaboration. We now have the ability to rapidly react to increases in inpatient hospital-bed demands, even at the specialty-bed level through predefined threshold triggers. In the Portland metro area, there is an established protocol for regional management of ED ambulance divert, so-called “zone management.” This protocol is based on manually reported ED divert status for region 1 of Oregon’s HOSCAPS.

A regional zone management approach to our EMS ambulances is initiated if a majority of EDs in a zone of the Portland metro area declare divert status. OHSU Mission Control directs ambulances to alternating EDs, allowing for a more even distribution during high ED divert status situations. Our real-time data tracking for hospital beds adds additional versatility for more effective management in high-demand situations across the region and state. By avoiding delays in access to the needed hospital resources, we expect to be able to manage the needs of the state. The data exchange between HOSCAPS and Oregon Capacity System allows existing structures to be incorporated into future responses.

Furthermore, the Oregon Capacity System is capable of generating statewide capacity “snapshots” such as the one shown in Figure 4 of statewide ICU capacity. These are being published to all participating hospitals daily.

Our shared vision among physician and administrative leaders at Asante Health, Bay Area Hospital, Blue Mountain Hospital, Columbia Memorial Hospital, Kaiser Permanente, Lake Health District, Legacy Health System, Lower Umpqua Hospital, McKenzie Willamette Medical Center, Mid Columbia Medical Center, OHSU Health System, PeaceHealth System, Providence Health System, Salem Health, Sky Lakes Medical Center, St Anthony Hospital, St. Charles Health System, Portland VA Hospital, and OHA, combined with philanthropic support and a long-standing relationship between OHSU Health and a technology partner (GE Healthcare), allowed us to collectively and rapidly create a tool during this pandemic for the state of Oregon. The feasibility to quickly move from design to implementation demonstrates a potential option for other states to transition from individual crisis management to a regional approach when supported by appropriate collaboration and technology. The state of Oregon has been able to flatten the COVID-19 curve by implementing aggressive mitigation strategies, which, in combination with canceling elective surgeries, has resulted in a high percentage of unoccupied beds. Although each state makes choices about releasing mitigation strategies, this tool will help us identify Oregon regions and health systems that will rapidly exceed their capacities, and it will allow for more active management at the local, regional, and statewide level for the benefit of every patient in need of admission.

Our experience in using real-time data in our Mission Control command center at OHSU to manage inpatient capacity, across our four hospitals during high occupancy situations on a regular basis, was the foundation of our ability to rapidly build upon the existing technology platform and provide reassurance about why such a system would be critical across our state. Although we were able to use our existing infrastructure and quickly broaden the scope to the entire state, our approach highlights the relative simplicity of the data requirements to achieve visibility across a large geographic region, independent of the technology used. In times of uncertainty, having a reliable tool to track critical hospital resources will contribute to our statewide ability to regain healthcare functionality in a world with COVID-19.


The Oregon Capacity System tracking board has been made possible by a philanthropic gift to the Oregon Health & Science University Foundation by Nike CEO John Donahoe and his wife, Eileen; Nike Chairman Mark Parker and his wife, Kathy; and Phil and Penny Knight. We are thankful for the ability to provide such a useful and unique tool to the state of Oregon. The technology for the tracking board is provided by GE Healthcare, and we thank the entire GE team for their dedication to setting up this tracking tool in such a short period of time.


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census board; coronavirus disease 2019; hospital capacity; real time data; ventilator availability

Copyright © 2020 The Authors. Published by Wolters Kluwer Health, Inc. on behalf of the Society of Critical Care Medicine.