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Bed Classification

kboone edited this page Apr 7, 2020 · 1 revision

This page attempts to answer the question about Bed classification. It presents information about what others are already doing with respect to Bed Classification and is based on data that has been made publicly available and widely shared.

Four data sets are compared below:

  1. HAvBED2 Bed Classification
  2. Epic: COVID-19 Metric Specifications (download pdf
  3. Cerner: data to report to CDC on behalf of consenting organizations (download pdf).
  4. CDC: COVID-19 Patient Impact & Hospital Capacity Module

Analysis

Clearly the level of detail requested by HAvBED2 is not immediately available through current vendor initiatives, but is available at a coarser level of granularity.

Bed Classification by HAvBED2 precoordinates properties such as

  • Patient Age Restrictions (Adult, Pediatric, Neonate),
  • Additional services (Psychiatric, Isolation, Burn Treatment)

With broader classifications of ICU vs. Acute vs. ED

This suggests that the major classification (ICU/Acute/ED) be a required characteristic, and that patient age restrictions and additional service properties may be provided by those facilities with additional information detail.

One concern with this approach is that counting ICU beds should generally be approached as counting Non-Neonatal ICU Beds. From a classification perspective, to claim that a NICU bed is an ICU bed is accurate, but would not generally considered such in general conversation unless the context of the discussion was specifically addressing Neonatal care.

A similar concern arises in the classification of Burn Treatment Units. While a Burn Unit might have similar treatment and monitoring equipment as an ICU, as is suggested by HAvBED2, that same specification clarifies that these beds should not be reported with ICU beds. This suggests that the a Burn Unit should be a specialized classification at the same level as ICU/Acute/ED beds, rather than as a specialization of ICU.

Data Sets Available

HAvBED2 Cerner Epic CDC
Number of Total Beds (numTotBeds)
Hospital Beds
ED
Emergency Department Beds Conventional
Emergency Department Beds Expansion
Number of of Inpatient Beds (numBeds)
AdultICU
Acute Critical Care Beds Licensed
Acute Critical Care Beds Conventional
Acute Critical Care Beds Expansion
Pediatrics
PediatricICU
Pediatric Critical Care Beds Licensed
Pediatric Critical Care Beds Conventional
Pediatric Critical Care Beds Expansion
NeonatalICU
Neonatal Critical Care Beds Licensed
Neonatal Critical Care Beds Conventional
Neonatal Critical Care Beds Expansion
MedicalSurgical
General Acute Care Beds Licensed
General Acute Care Beds Conventional
General Acute Care Beds Expansion
Sub-Acute Care Beds Licensed
Sub-Acute Care Beds Conventional
Sub-Acute Care Beds Expansion
OperatingRooms
Operating Rooms Licensed
Operating Rooms Conventional
Operating Rooms Expansion
Inpatient Room census
Number of Beds Occupied (numBedsOcc)
Open ICU Beds
Open Non-ICU Acute Beds
COVID-19 Occupied ICU Beds Number of ICU Beds Occupied (numICUBedsOcc)
Adult Critical Care Beds Available
Adult Critical Care Beds Occupied
Adult Critical Care Beds COVID
Pediatric Critical Care Beds Available
Pediatric Critical Care Beds Occupied
Pediatric Critical Care Beds COVID
Neonatal Critical Care Beds Available
Neonatal Critical Care Beds Occupied
Neonatal Critical Care Beds COVID
General Acute Beds Available
General Acute Beds Occupied
General Acute Beds COVID
Sub-Acute Beds Available
Sub-Acute Beds Occupied
Sub-Acute Beds COVID
ED Beds Available
ED Visits
RehabLongTermCare
Psychiatric
Burn
NurseryBeds
NegativeFlowIsolation Isolation room census, Respiratory Isolation Room capacity and usage
OtherIsolation
Ventilator usage
Total Number of Ventilators Number of Ventilators (numVent)
Number of Ventilators Available
Total Number of Ventilators in Use
Total Number of Ventilators in Use for COVID-19
Rooms containing PUI and COVID-19 positive test patients

Home

Acknowledgements

Education and Presentations

Lion Teams
HL7 Project Links
Measures
Meetings
Saner in the Media * [Healthcare Innovation - Interview with Scott Azfal](https://www.hcinnovationgroup.com/interoperability-hie/fast-healthcare-interoperability-resources-fhir/article/21135564/interview-with-audacious-inquiry-on-saner-project-pulsecovid-edition) * [Healthcare IT Today - Blog Post](https://www.healthcareittoday.com/2020/04/24/saner-project-coordinates-sharing-of-hospital-bed-capacity-and-availability-of-critical-resources-during-covid-19/) * [Technical.ly Baltimore - Local company brings APIs to COVID Fight](https://technical.ly/baltimore/2020/04/29/audacious-inquiry-brings-open-source-tools-api-data-fight-against-covid19-healthcare/) * [STAT - Ventilators will sit unused (Halamka et. al.)](https://www.statnews.com/2020/05/04/ventilators-sit-unused-without-national-data-sharing/)
Testing
Value and Data Sets
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