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):
|
|
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. |