Data Points

Use the drop-down below to find descriptions of each of the data points entered into the Portal by section.

For information on how these data points correspond with HHS guidance, click here.

Section Data Point Data Upload Template Data Description Validation Rules

Staffed Bed Capacity

2a. All hospital beds

Column Header:

all_hospital_

beds

 

Acceptable Values:

0 - 9999

Total number of all staffed inpatient and outpatient beds in your hospital, including all overflow, observation, and active surge/expansion beds used for inpatients and for outpatients (includes all ICU, ED, and observation).

2a. All hospital beds must be greater than or equal to 4a. All hospital inpatient bed occupancy.

 

2a. All hospital beds must be greater than or equal to 3a. All hospital inpatient beds.

 

2a. All hospital beds must be greater than or equal to 6a. ICU bed occupancy.

 

2a. All hospital beds must be greater than or equal to 5a. ICU beds.

Staffed Bed Capacity

2b. All adult hospital beds

Column Header:

all_adult_

hospital_beds

 

Acceptable Values:

0 - 9999

Total number of all staffed inpatient and outpatient adult beds in your hospital, including all overflow and active surge/expansion beds for inpatients and for outpatients (includes all ICU, ED, and observation).

2b. All adult hospital beds must be greater than or equal to 3b. Adult hospital inpatient beds.

 

2b. All adult hospital beds must be less than or equal to 2a. All hospital beds.

Staffed Bed Capacity

3a. All hospital inpatient beds

Column Header:

all_hospital_

inpatient_beds

 

Acceptable Values:

0 - 9999

Total number of staffed inpatient beds in your hospital including all overflow, observation, and active surge/expansion beds used for inpatients (includes all ICU beds). This is a subset of #2.

3a. All hospital inpatient beds must be less than or equal to 2a. All hospital beds.

 

3a. All hospital inpatient beds must be greater than or equal to 4a. All hospital inpatient bed occupancy.

 

3a. All hospital inpatient beds must be greater than or equal to 6a. ICU bed occupancy.

 

3a. All hospital inpatient beds must be greater than or equal to 5a. ICU beds.

Staffed Bed Capacity

3b. Adult hospital inpatient beds

Column Header:

all_adult_

hospital_

inpatient_beds

 

Acceptable Values:

0 - 9999

Total number of staffed inpatient adult beds in your hospital including all overflow and active surge/expansion beds used for inpatients (includes all designated ICU beds). This is also a subset of #2.

3b. Adult hospital inpatient beds must be less than or equal to 3a. All hospital inpatient beds.

 

3b. Adult hospital inpatient beds must be less than or equal to 2b. All adult hospital beds.

Staffed Bed Capacity

4a. All hospital inpatient bed occupancy

Column Header:

all_hospital_

inpatient_bed_

occupied

 

Acceptable Values:

0 - 9999

Total number of staffed inpatient beds that are occupied.

4a. All hospital inpatient bed occupancy must be less than or equal to 3a. All hospital inpatient beds.

 

4a. All hospital inpatient bed occupancy must be less than or equal to 2a. All hospital beds.

 

4a. All hospital inpatient bed occupancy must be greater than or equal to 6a. ICU bed occupancy.

Staffed Bed Capacity

4b. Adult hospital inpatient bed occupancy

Column Header:

all_adult_

hospital_

inpatient_bed_

occupied

 

Acceptable Values:

0 - 9999

Total number of staffed inpatient adult beds that are occupied.

4b. Adult hospital inpatient bed occupancy must be less than or equal to 4a. All hospital inpatient bed occupancy.

Staffed Bed Capacity 5a. ICU beds

Column Header:

total_staffed_

icu_beds

 

Acceptable Values:

0 - 9999

Total number of staffed inpatient ICU beds. This is a subset of #2 and #3.

5a. ICU beds must be less than or equal to 2a. All hospital beds.

 

5a. ICU beds must be less than or equal to 3a. All hospital inpatient beds.

 

5a. ICU beds must be greater than or equal to 6a. ICU bed occupancy.

Staffed Bed Capacity 5b. Adult ICU beds

Column Header:

total_staffed_

adult_icu_beds

 

Acceptable Values:

0 - 9999

Total number of staffed inpatient adult ICU beds. This is also a subset of #2 and 3.

5b. Adult ICU beds must be less than or equal to 5a. ICU beds.

Staffed Bed Capacity 6a. ICU bed occupancy

Column Header:

staffed_icu_

bed_occupancy

 

Acceptable Values:

0 - 9999

Total number of staffed inpatient ICU beds that are occupied. This is a subset of #4.

6a. ICU bed occupancy must be less than or equal to 2a. All hospital beds.

 

6a. ICU bed occupancy must be less than or equal to 4a. All hospital inpatient bed occupancy.

 

6a. ICU bed occupancy must be less than or equal to 3a. All hospital inpatient beds.

 

6a. ICU bed occupancy must be less than or equal to 5a. ICU beds.

Staffed Bed Capacity

6b. Adult ICU bed occupancy

Column Header:

staffed_adult_

icu_bed_

occupancy

 

Acceptable Values:

0 - 9999

Total number of staffed inpatient adult ICU beds that are occupied. This is also a subset of #4.

6b. Adult ICU bed occupancy must be less than or equal to 6a. ICU bed occupancy.

Ventilators

7. Total mechanical ventilators

Column Header:

mechanical_

ventilators

 

Acceptable Values:

0 - 9999

Enter the total number (in use and not in use) of all mechanical ventilators, including adult, pediatric, neonatal ventilators, anesthesia machines and portable/transport ventilators available in the facility. Include BiPAP machines if the hospital uses BiPAP to deliver positive pressure ventilation via artificial airways.

7. Total mechanical ventilators must be greater than or equal to 8. Mechanical ventilators in use.

Ventilators

8. Mechanical ventilators in use

Column Header:

mechanical_

ventilators_

in_use

 

Acceptable Values:

0 - 9999

Enter the total number of mechanical ventilators in use at the time the data is collected, including adult, pediatric, neonatal ventilators, anesthesia machines and portable/transport ventilators. Include BiPAP machines if the hospital uses BiPAP to deliver positive pressure ventilation via artificial airways.

8. Mechanical ventilators in use must be less than or equal to 7. Total mechanical ventilators.

Hospitalizations

9a. Total hospitalized adult suspected or confirmed positive COVID patients

Column Header:

total_adult_

patients_

hospitalized_

confirmed_

and_

suspected_

covid

 

Acceptable Values:

0 - 9999

Patients currently hospitalized in an adult inpatient bed who have laboratory-confirmed or suspected COVID-19. Include those in observation beds.

 
Hospitalizations

9b. Hospitalized adult confirmed-positive COVID patients

Column Header:

total_adult_

patients_

hospitalized_

confirmed_

covid

 

Acceptable Values:

0 - 9999

Patients currently hospitalized in an adult inpatient bed who have laboratory-confirmed COVID-19. Include those in observation beds. Include patients who have both laboratory-confirmed COVID-19 and laboratory-confirmed influenza in this field.

9b. Hospitalized adult confirmed-positive COVID patients must be less than or equal to 9a. Total hospitalized adult suspected or confirmed positive COVID patients.

Hospitalizations

10a. Total hospitalized pediatric suspected or confirmed positive COVID patients

Column Header:

total_pediatric_

patients_

hospitalized_

confirmed_

and_

suspected_

covid

 

Acceptable Values:

0 - 9999

Patients currently hospitalized in a pediatric inpatient bed, including, NICU, PICU, newborn, and nursery, who are suspected or laboratory-

confrimed-positive for COVID-19. Include those in observation beds.

 
Hospitalizations

10b. Hospitalized pediatric confirmed-

positive COVID patients

Column Header:

total_pediatric_

patients_

hospitalized_

confirmed_

covid

 

Acceptable Values:

0 - 9999

Patients currently hospitalized in a pediatric inpatient bed, including, NICU, PICU, newborn, and nursery, who have laboratory-confirmed COVID-19. Include those in observation beds. Include patients who have both laboratory-

confirmed COVID-19 and laboratory-confirmed influenza in this field.

10b. Hospitalized pediatric confirmed-positive COVID patients must be less than or equal to 10a. Total hospitalized pediatric suspected or confirmed positive COVID patients.

Hospitalizations

11. Hospitalized and ventilated COVID patients

Column Header:

hospitalized_

and_

ventilated_

covid_patients

 

Acceptable Values:

0 - 9999

Patients currently hospitalized in an adult, pediatric or neonatal inpatient bed who have suspected or laboratory-confirmed COVID-19 and are on a mechanical ventilator (as defined in 7 above).

 
Hospitalizations

12a. Total ICU adult suspected or confirmed positive COVID patients

Column Header:

staffed_icu_

adult_

patients_

confirmed_

and_

suspected_

covid

 

Acceptable Values:

0 - 9999

Patients currently hospitalized in a designated adult ICU bed who have suspected or laboratory-confirmed COVID-19.

 
Hospitalizations 12b. Hospitalized ICU adult confirmed-positive COVID patients

Column Header:

staffed_icu_

adult_patients_

confirmed_

covid

 

Acceptable Values:

0 - 9999

Patients currently hospitalized in a designated adult ICU bed who have laboratory-confirmed COVID-19. Include patients who have both laboratory-confirmed COVID-19 and laboratory-confirmed influenza in this field.

12b. Hospitalized ICU adult confirmed-positive COVID patients must be less than or equal to 12a. Total ICU adult suspected or confirmed positive COVID patients.

Hospitalizations

13. Hospital Onset

Column Header:

hospital_onset

 

Acceptable Values:

0 - 9999

Total current inpatients with onset of suspected or laboratory-confirmed COVID-19 fourteen or more days after admission for a condition other than COVID-19.

 
ED/Overflow 14. ED/overflow

Column Header:

ed_or_

overflow

 

Acceptable Values:

0 - 9999

Patients with suspected or laboratory-confirmed COVID-19 who are currently in the Emergency Department (ED) or any overflow location awaiting inpatient bed.

 
ED/Overflow

15. ED/overflow and ventilated

Column Header:

ed_or_

overflow_and_

ventilated

 

Acceptable Values:

0 - 9999

Patients with suspected or laboratory-confirmed COVID-19 who currently are in the ED or any overflow location awaiting an inpatient bed and on a mechanical ventilator. This is a subset of #14.

15. ED/overflow and ventilated must be less than or equal to 14. ED/overflow.

ED/Overflow

19. Previous day's total ED visits

Column Header:

previous_day_

total_ED_visits

 

Acceptable Values:

0 - 9999

Enter the total number of patient visits to the ED who were seen on the previous calendar day regardless of reason for visit. Include all patients who are triaged even if they leave before being seen by a provider.

 
ED/Overflow

20. Previous day's total COVID-19-related ED visits

Column Header:

previous_day_

covid_ED_visits

 

Acceptable Values:

0 - 9999

Enter the total number of ED visits who were seen on the previous calendar day who had a visit related to COVID-19 (meets suspected or confirmed definition or presents for COVID diagnostic testing – do not count patients who present for pre-procedure screening).

20. Previous day's COVID-19-related ED visits must be less than or equal to 19. Previous day's total ED visits.

Previous Day's COVID-19 Deaths

16. Previous day's COVID-19 deaths

Column Header:

previous_day_

deaths_covid

 

Acceptable Values:

0 - 9999

Number of patients with suspected or laboratory confirmed COVID-19 who died on the previous calendar day in the hospital, ED, or any overflow location.

16. Previous day's COVID-19 deaths must be greater than or equal to 38. Previous day's deaths with both laboratory-confirmed COVID-19 and influenza.

Previous Day's Admissions

17a. Total Adult

Column Header:

previous_day_

admission_

adult_covid_

confirmed

 

Acceptable Values:

0 - 9999

Enter the number of patients who were admitted to an adult inpatient bed on the previous calendar day who had confirmed COVID-19 at the time of admission. This is a subset of #9. As a subset, provide the breakdown by age bracket.

17a. Total adult must be greater than or equal to sum of all age brackets.

Previous Day's Admissions

18 - 19

Column Header:

previous_day_

admission_

adult_covid_

confirmed_18_19

 

Acceptable Values:

0 - 9999

Note that 17a. Total Adult must greater than or equal to sum of all age brackets

The patients aged 18-19.

 

Previous Day's Admissions

20 - 29

Column Header:

previous_day_

admission_

adult_covid_

confirmed_20_29

 

Acceptable Values:

0 - 9999

Note that 17a. Total Adult must greater than or equal to sum of all age brackets

The patients aged 20-29.

 

Previous Day's Admissions

30 - 39

Column Header:

previous_day_

admission_

adult_covid_

confirmed_30_39

 

Acceptable Values:

0 - 9999

Note that 17a. Total Adult must greater than or equal to sum of all age brackets

The patients aged 30-39.

 

Previous Day's Admissions

40 - 49

Column Header:

previous_day_

admission_

adult_covid_

confirmed_40_49

 

Acceptable Values:

0 - 9999

Note that 17a. Total Adult must greater than or equal to sum of all age brackets

The patients aged 40-49.

 

Previous Day's Admissions

50 - 59

Column Header:

previous_day_

admission_

adult_covid_

confirmed_50_59

 

Acceptable Values:

0 - 9999

Note that 17a. Total Adult must greater than or equal to sum of all age brackets

The patients aged 50-59.

 

Previous Day's Admissions

60 - 69

Column Header:

previous_day_

admission_

adult_covid_

confirmed_60_69

 

Acceptable Values:

0 - 9999

Note that 17a. Total Adult must greater than or equal to sum of all age brackets

The patients aged 60-69.

 

Previous Day's Admissions

70 - 79

Column Header:

previous_day_

admission_

adult_covid_

confirmed_70_79

 

Acceptable Values:

0 - 9999

Note that 17a. Total Adult must greater than or equal to sum of all age brackets

The patients aged 70-79.

 

Previous Day's Admissions

80+

Column Header:

previous_day_

admission_

adult_covid_

confirmed_80_plus

 

Acceptable Values:

0 - 9999

Note that 17a. Total Adult must greater than or equal to sum of all age brackets

The patients aged 80+.

 

Previous Day's Admissions

Unknown

Column Header:

previous_day_

admission_

adult_covid_

confirmed_

unknown

 

Acceptable Values:

This field is automatically calculated

The patients whose ages are unknown.

 

Previous Day's Admissions

17b. Total adult

Column Header:

previous_day_

admission_

adult_covid_

suspected

 

Acceptable Values:

0 - 9999

Enter the number of patients who were admitted to an adult inpatient bed on the previous calendar day who had suspected COVID-19 at the time of admission. This is a subset of #9. As a subset, provide the breakdown by age bracket.

17b. Total adult must be greater than or equal to sum of all age brackets.

Previous Day's Admissions

18 - 19

Column Header:

previous_day_

admission_

adult_covid_

suspected_18_19

 

Acceptable Values:

0 - 9999

Note that 17a. Total Adult must greater than or equal to sum of all age brackets

The patients aged 18-19.

 

Previous Day's Admissions

20 - 29

Column Header:

previous_day_

admission_

adult_covid_

suspected_20_29

 

Acceptable Values:

0 - 9999

Note that 17a. Total Adult must greater than or equal to sum of all age brackets

The patients aged 20-29.

 

Previous Day's Admissions

30 - 39

Column Header:

previous_day_

admission_

adult_covid_

suspected_30_39

 

Acceptable Values:

0 - 9999

Note that 17a. Total Adult must greater than or equal to sum of all age brackets

The patients aged 30-39.

 

Previous Day's Admissions

40 - 49

Column Header:

previous_day_

admission_

adult_covid_

suspected_40_49

 

Acceptable Values:

0 - 9999

Note that 17a. Total Adult must greater than or equal to sum of all age brackets

The patients aged 40-49.

 

Previous Day's Admissions

50 - 59

Column Header:

previous_day_

admission_

adult_covid_

suspected_50_59

 

Acceptable Values:

0 - 9999

Note that 17a. Total Adult must greater than or equal to sum of all age brackets

The patients aged 50-59.

 

Previous Day's Admissions

60 - 69

Column Header:

previous_day_

admission_

adult_covid_

suspected_60_69

 

Acceptable Values:

0 - 9999

Note that 17a. Total Adult must greater than or equal to sum of all age brackets

The patients aged 60-69.

 

Previous Day's Admissions

70 - 79

Column Header:

previous_day_

admission_

adult_covid_

suspected_70_79

 

Acceptable Values:

0 - 9999

Note that 17a. Total Adult must greater than or equal to sum of all age brackets

The patients aged 70-79.

 

Previous Day's Admissions

80+

Column Header:

previous_day_

admission_

adult_covid_

suspected_80_plus

 

Acceptable Values:

0 - 9999

Note that 17a. Total Adult must greater than or equal to sum of all age brackets

The patients aged 80+.

 

Previous Day's Admissions

Unknown

Column Header:

previous_day_

admission_

adult_covid_

suspected_

unknown_age

 

Acceptable Values:

This field is automatically calculated

The patients whose ages are unknown.

 

Previous Day's Admissions

18a. Previous day's pediatric admissions with confirmed COVID-19

Column Header:

previous_day_

admission_

pediatric_

covid_

confirmed

 

Acceptable Values:

0 - 9999

Enter the number of pediatric patients who were admitted to an inpatient bed, including NICU, PICU, newborn, and nursery, on the previous calendar day who had confirmed COVID-19 at the time of admission. This is a subset of #10.

 

Previous Day's Admissions

18b. Previous day's pediatric admissions with suspected COVID-19

Column Header:

previous_day_

admission_

pediatric_

covid_

suspected

 

Acceptable Values:

0 - 9999

Enter the number of pediatrics patients who were admitted to an inpatient bed, including NICU, PICU, newborn, and nursery, on the previous calendar day who had suspected COVID-19 at the time of admission. This is a subset of #10.

 
Therapeutics 21. Previous day's Remdesivir used

Column Header:

previous_day_

remdesivir_

used

 

Acceptable Values:

0 - 999999

Enter the number of remdesivir vials used on the previous calendar day in an inpatient, ED, and/or overflow location

Max value: 999999

Therapeutics 22. Current inventory of Remdesivir

Column Header:

on_hand_

supply_

remdesivir_

vials

 

Acceptable Values:

0 - 999999

Enter the number of remdesivir vials in inventory at 11:59pm on the previous calendar day in the hospital pharmacy

Max value: 999999

Therapeutics

39a. Current inventory on hand (in courses)

Column Header:

on_hand_supply_

Therapeutic_A_courses

 

Acceptable Values:

0 - 999999

Enter the number of therapeutic A courses currently in inventory. This field has been designated as Casirivimab / Indevimab and will be mandatory on 1/8/2021.

Max value: 999999
Therapeutics

39b. Courses used in the last week

Column Header:

previous_week_

Therapeutic_A_courses_used

 

Acceptable Values:

0 - 999999

Enter the number of therapeutic A courses used in the previous calendar week in an inpatient, ED, overflow, or outpatient location, such as an urgent care, infusion center, or outpatient clinic. This field has been designated as Casirivimab / Indevimab and will be mandatory on 1/8/2021.

Max value: 999999
Therapeutics

39c. Current Inventory on hand (in courses)

Column Header:

on_hand_supply_

Therapeutic_B_courses

 

Acceptable Values:

0 - 999999

Enter the number of therapeutic B courses currently in inventory. This field has been designated as Bamlanivimab and will be mandatory on 1/8/2021.

Max value: 999999
Therapeutics

39d. Courses used in the last week

Column Header:

previous_week_

Therapeutic_B_courses_used

 

Acceptable Values:

0 - 999999

Enter the number of therapeutic B courses used in the previous calendar week in an inpatient, ED, overflow, or outpatient location, such as an urgent care, infusion center, or outpatient clinic. This field has been designated as Bamlanivimab and will be mandatory on 1/8/2021.

Max value: 999999
Staff

23. Critical staffing shortage today (Y/N)

Column Header:

critical_

staffing_

shortage_today

 

Acceptable Values:

• Yes

• No

Select "Yes" if you have a critical staffing shortage today. Select "No" if you do not have a staffing shortage today.

 

If you do not report this value, the default is "No". If you have a shortage, report this daily until the shortage is resolved.

 

Each facility should identify staffing shortages based on their facility needs and internal policies for staffing ratios. The use of temporary staff does not count as a staffing shortage if staffing ratios are met according to the facility’s needs and internal policies for staffing ratios.

(Environmental services, nurses, respiratory therapists, pharmacists and pharmacy technicians, physicians, other licensed independent practitioners, temporary physicians, nurses, respiratory therapists, and pharmacists phlebotomists, other critical healthcare personnel).

 
Staff

24. Critical staffing shortage anticipated within a week (Y/N)

Column Header:

critical_

staffing_

shortage_

anticipated_

within_week

 

Acceptable Values:

• Yes

• No

Select "Yes" if you anticipate a critical staffing shortage within a week. Select "No" if you do not anticipate a staffing shortage within a week. If you do not report this value, the default is "No". If you have a shortage, report this daily until the shortage is resolved.

 

Each facility should identify staffing shortages based on their facility needs and internal policies for staffing ratios. The use of temporary staff does not count as a staffing shortage if staffing ratios are met according to the facility’s needs and internal policies for staffing ratios.

 
Staff

25. Staffing shortage details

Column Header:

staffing_

shortage_

details

 

Acceptable Values:

This field is optional

(Free text entry)  
PPE

26. Are your PPE supplies managed (purchased, allocated, and/or stored) at the facility level or, if you are a part of the health system, at the health system level?

Column Header:

PPE_supply_

management_

source

 

Acceptable Values:

• Facility

• System

Check the response below which reflects the management of PPE for your facility (including purchasing, allocation, and/or storage):

 

  • Health system level or multiple-hospital group (e.g., PPE purchased at the health system level, par levels managed centrally, in stock supply available at another system location such as a central warehouse). Select ""System"" for this choice.

  • Facility level (e.g., PPE purchased by your individual facility, par levels managed at the facility-level, in stock supply is all on-site). Select ""Facility"" for this choice."

 
PPE

27a. Ventilator Supplies

Column Header:

on_hand_

ventilator_

supplies_in_

days

 

Acceptable Values:

• 0 days

• 1-3 days

• 4-6 days

• 7-14 days

• 15-30 days

• >30 days

How many days of ventilator supplies are on hand?

 
PPE 27b. N95 Respirators

Column Header:

on_hand_

supply_of_

n95_

respirators_in_days

 

Acceptable Values:

• 0 days

• 1-3 days

• 4-6 days

• 7-14 days

• 15-30 days

• >30 days

N95 - days on hand

 
PPE

27c. Surgical and procedure masks

Column Header:

on_hand_

supply_of_

surgical_

masks_in_

days

 

Acceptable Values:

• 0 days

• 1-3 days

• 4-6 days

• 7-14 days

• 15-30 days

• >30 days

Surgical masks days on hand.

 
PPE

27d. Eye protection including face shields and goggles

Column Header:

on_hand_

supply_of_

eye_protection_

in_days

 

Acceptable Values:

• 0 days

• 1-3 days

• 4-6 days

• 7-14 days

• 15-30 days

• >30 days

Face shields days on hand.

 
PPE 27e. Single-use gowns

Column Header:

on_hand_

supply_of_

single_use_

surgical_gowns_

in_days

 

Acceptable Values:

• 0 days

• 1-3 days

• 4-6 days

• 7-14 days

• 15-30 days

• >30 days

Surgical gowns days on hand.

 
PPE

27f. Exam gloves (sterile and non-sterile)

Column Header:

on_hand_

supply_of_

gloves_in_days

 

Acceptable Values:

• 0 days

• 1-3 days

• 4-6 days

• 7-14 days

• 15-30 days

• >30 days

Gloves days on hand.

 
PPE 28a. N95 Respirators

Column Header:

on_hand_

supply_of_

n95_

respirators_

in_units

 

Acceptable Values:

0 - 999999

The total N95 masks count.

Max value: 999999

PPE

28b. Other respirators such as PAPRs or elastomerics

Column Header:

on_hand_

supply_of_

PAPR_in_units

 

Acceptable Values:

0 - 999999

Total PAPR available.

Max value: 999999

PPE

28c. Surgical and procedure masks

Column Header:

on_hand_

supply_of_

surgical_

masks_in_

units

 

Acceptable Values:

0 - 999999

Total surgical masks count.

Max value: 999999

PPE

28d. Eye protection including face shields and goggles

Column Header:

on_hand_

supply_of_

eye_

protection_in_units

 

Acceptable Values:

0 - 999999

Total face shields available.

Max value: 999999

PPE 28e. Single-use gowns

Column Header:

on_hand_

supply_of_

single_use_

surgical_

gowns_in_units

 

Acceptable Values:

0 - 999999

Total surgical gowns available.

Max value: 999999

PPE

28f. Launderable Gowns

Column Header:

on_hand_

supply_of_

launderable_

surgical_

gowns_in_units

 

Acceptable Values:

0 - 999999

Total launderable gowns available.

Max value: 999999

PPE

28g. Exam gloves (single)

Column Header:

on_hand_

supply_of_

gloves_in_

units

 

Acceptable Values:

0 - 999999

Total gloves available.

Max value: 999999

PPE

29a. Ventilator supplies (any supplies excluding medications)

Column Header:

able_to_obtain_

ventilator_

supplies

 

Acceptable Values:

• Yes

• No

• N/A

Able to obtain the item?

 
PPE

29b. Ventilator medications

Column Header:

able_to_obtain_

ventilator_

medications

 

Acceptable Values:

• Yes

• No

• N/A

Able to obtain the item?

 
PPE 29c. N95 respirators

Column Header:

able_to_obtain_

n95_masks

 

Acceptable Values:

• Yes

• No

• N/A

Are you able to obtain N95 masks?

 
PPE

29d. Other respirators such as PAPRs and elastomerics

Column Header:

able_to_

obtain_PAPRs

 

Acceptable Values:

• Yes

• No

• N/A

Are you able to obtain PAPR?

 
PPE 29e. Surgical and procedure masks

Column Header:

able_to_

obtain_

surgical_masks

 

Acceptable Values:

• Yes

• No

• N/A

Are you able to obtain surgical masks?

 
PPE

29f. Eye protection including face shields and goggles

Column Header:

able_to_

obtain_eye_

protection

 

Acceptable Values:

• Yes

• No

• N/A

Are you able to obtain face shields?

 
PPE 29g. Single-use gowns

Column Header:

able_to_

obtain_single_

use_gowns

 

Acceptable Values:

• Yes

• No

• N/A

Are you able to obtain surgical gowns?

 
PPE 29h. Exam gloves

Column Header:

able_to_

obtain_gloves

 

Acceptable Values:

• Yes

• No

• N/A

Are you able to obtain gloves?

 
PPE

29i. Are you able to maintain a supply of launderable gowns?

Column Header:

able_to_

obtain_

launderable_

gowns

 

Acceptable Values:

• Yes

• No

• N/A

Are you able to maintain a supply of launderable gowns?

 
PPE

30a. Ventilator supplies (any supplies excluding medications)

Column Header:

able_to_

maintain_

ventilator_

3day_supplies

 

Acceptable Values:

• Yes

• No

• N/A

Can maintain a three day supply of the item?

 
PPE

30b. Ventilator medications

Column Header:

able_to_

maintain_

ventilator_

3day_

medications

 

Acceptable Values:

• Yes

• No

• N/A

Can maintain a three day supply of the item?

 
PPE 30c. N95 respirators

Column Header:

able_to_

maintain_

n95_masks

 

Acceptable Values:

• Yes

• No

• N/A

Yes or No or N/A

 
PPE

30d. Other respirators such as PAPRs or elastomerics

Column Header:

able_to_

maintain_

3day_PAPRs

 

Acceptable Values:

• Yes

• No

• N/A

Yes or No or N/A

 
PPE

30e. Surgical and procedure masks

Column Header:

able_to_

maintain_

3day_surgical_

masks

 

Acceptable Values:

• Yes

• No

• N/A

Yes or No or N/A

 
PPE

30f. Eye protection including face shields and goggles

Column Header:

able_to_

maintain_

3day_eye_

protection

 

Acceptable Values:

• Yes

• No

• N/A

Yes or No or N/A

 
PPE 30g. Single-use gowns

Column Header:

able_to_

maintain_

3day_single_

use_gowns

 

Acceptable Values:

• Yes

• No

• N/A

Yes or No or N/A

 
PPE 30h. Exam gloves

Column Header:

able_to_

maintain_

3day_gloves

 

Acceptable Values:

• Yes

• No

• N/A

Yes or No or N/A

 
PPE

30i. Laboratory - nasal pharyngeal swabs

Column Header:

able_to_

maintain_

3day_lab_

nasal_

pharyngeal_

swabs

 

Acceptable Values:

• Yes

• No

• N/A

Nasal pharyngeal swabs can maintain three day supply.

 
PPE 30j. Laboratory - nasal swabs

Column Header:

able_to_

maintain_

lab_nasal_

swabs

 

Acceptable Values:

• Yes

• No

• N/A

Nasal swabs can maintain three day supply.

 
PPE

30k. Laboratory - viral transport media

Column Header:

able_to_

maintain_

3day_lab_

viral_transport_

media

 

Acceptable Values:

• Yes

• No

• N/A

Viral transport media can maintain three day supply.

 
PPE

31a. Reusable/

launderable isolaction gowns

Column Header:

reusable_

isolation_

gowns_used

 

Acceptable Values:

• Yes

• No

• N/A

Currently re-using launderable gowns or implementing extended use?

 
PPE

31b. PAPRs or elastomerics

Column Header:

reusable_

PAPRs_or_

elastomerics_

used

 

Acceptable Values:

• Yes

• No

• N/A

Currently re-using PAPRs or implementing extended use?

 
PPE 31c. N95 respirators

Column Header:

reusuable_

n95_masks_

used

 

Acceptable Values:

• Yes

• No

• N/A

Currently re-using N95 Masks or implementing extended use?

 
PPE

32. Indicate any specific or critical medical supplies or medication shortages you are currently experiencing or anticipate experiencing in the next three days.

Column Header:

anticipated_

medical_

supply_

medication_

shortages

 

Acceptable Values:

This field is optional.

(Free text entry)

 
Influenza

33. Total hospitalized patients with laboratory-

confirmed influenza

Column Header:

total_

patients_

hospitalized_

confirmed_

influenza

 

Acceptable Values:

0 - 9999

Patients (all ages_ currently hospitalized in an inpatient bed who have laboratory-

confirmed influenza. Include those in observation beds.

 
Influenza

34. Previous day's influenza admissions

Column Header:

previous_day_

admission_

influenza_

confirmed

 

Acceptable Values:

0 - 9999

Enter the number of patients (all ages) who were admitted to an inpatient bed on the previous calendar day who have laboratory-

confirmed inflenza at the time of admission. This is a subset of #33.

 
Influenza

35. Total ICU patients with laboratory-

confirmed influenza

Column Header:

icu_patients_

confirmed_

influenza

 

Acceptable Values:

0 - 9999

Patients (all ages) currently hospitalized in a designated ICU bed with laboratory-

confirmed influenza. This is a subset of #33.

 
Influenza

36. Total hospitalized patients with both laboratory-

confirmed COVID-19 and influenza

Column Header:

total_patients_

hospitalized_

confirmed_

influenza_and_covid

 

Acceptable Values:

0 - 9999

Patients (all ages) currently hospitalized in an inpatient bed who have laboratory-

confirmed COVID-19 and laboratory-confirmed influenza. This is a subset of #9b/10b and #33.

 
Influenza

37. Previous day's influenza deaths

Column Header:

previous_day_

deaths_

influenza

 

Acceptable Values:

0 - 9999

Number of patients with laboratory-confirmed influenza who died on the previous calendar day in the hospital, ED, or any overflow location.

37. Previous day's influenza deaths must be greater than or equal to 38. Previous day's deaths with both laboratory-confirmed COVID-19 and influenza.

Influenza

38. Previous day's deaths with both laboratory-

confirmed COVID-19 and influenza

Column Header:

previous_day_

deaths_covid_

and_influenza

 

Acceptable Values:

0 - 9999

Number of patients with laboratory-confirmed influenza AND laboratory

confirmed COVID-19 who died on the previous calendar day in the hospital, ED, or any overflow location. This is a subset of #16.

38. Previous day's deaths with both laboratory-confirmed COVID-19 and influenza must be less than or equal to 37. Previous day's influenza deaths.

Vaccinations

41. Previous Week’s COVID-19 vaccination doses administered to healthcare personnel (Regardless of Series)

Column Header:

previous_week_

personnel_covid_vaccinated_doses_

administered

 

Acceptable Values:

0 - 999999

For the previous week, enter the number of COVID-19 vaccination doses administered in the previous week. Enter the count of doses administered regardless of whether it is a first or second dose in a series.

 

For the first week of reporting, include all doses given up to that date.

 

Vaccinations

42. Current healthcare personnel who have not yet received any COVID-19 vaccination doses

Column Header:

total_personnel_

covid_vaccinated_

doses_none

 

Acceptable Values:

0 - 999999

Enter the number of healthcare personnel who have not yet received a single vaccine dose.

 

Vaccinations

43. Current healthcare personnel who have received one in a series of COVID-19 vaccination doses

Column Header:

total_personnel_

covid_vaccinated_

doses_one

 

Acceptable Values:

0 - 999999

Enter the current total number of healthcare personnel who have received at least one dose of COVID-19 vaccination that is administered in a multi-dose series. This field is meant to represent those who have begun but not completed the vaccination process. Do not include those who received a single-dose vaccine in this field.

 

Vaccinations

44. Current healthcare personnel who have received a completed series of COVID-19 vaccination doses

Column Header:

total_personnel_

covid_vaccinated_

doses_all

 

Acceptable Values:

0 - 999999

Enter the current total number of healthcare personnel who have received a complete series of a COVID-19 vaccination. Include those who have received all doses in a multi-dose series as well as those who received a single-dose vaccine.

 

Vaccinations

45. Total number of current healthcare personnel

Column Header:

total_personnel

 

Acceptable Values:

0 - 999999

Enter the current total number of healthcare personnel for the facility. Healthcare personnel include all paid and unpaid persons serving in healthcare settings who have the potential for direct or indirect exposure to patients or infectious materials.

 

Vaccinations

46. Previous week's number of patients administered the 1st dose in a COVID-19 vaccination series

Column Header:

previous_week_

patients_covid_

vaccinated_doses_

one

 

Acceptable Values:

0 - 999999

For the previous week, enter the number of patients who received the first dose of a COVID-19 vaccine that is administered in a multi-dose series. For the first week of reporting, include all doses given up to that date.

 

Vaccinations

47. Previous week's number of patients administered the dose that completes the series of a COVID-19 vaccination

Column Header:

previous_week_

patients_covid_

vaccinated_doses_

all

 

Acceptable Values:

0 - 999999

For the previous week, enter the number of patients who received the final dose in a COVID-19 vaccination series.