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.