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Error code: DatasetGenerationCastError
Exception: DatasetGenerationCastError
Message: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 10 new columns ({'Unnamed: 9', 'tools', 'bed_number', 'patient_id', 'room_id', 'attendee', 'hospital_inventory', 'assigned_at', 'discharged_at', 'Unnamed: 10'}) and 8 missing columns ({'location_storage_id', 'details', 'item_type', 'quantity_available', 'quantity_total', 'location_description', 'item_name', 'expiry_date'}).
This happened while the csv dataset builder was generating data using
hf://datasets/diamondgible2/Hospital-Resource-And-Patient-Management-Dataset/occupancy.csv (at revision 944498c47564d03ffd8cc5e9ef3a90e90a99259d)
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1871, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 643, in write_table
pa_table = table_cast(pa_table, self._schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2293, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2241, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
id: int64
room_id: int64
bed_number: int64
patient_id: int64
attendee: string
assigned_at: string
discharged_at: string
tools: string
hospital_inventory: string
Unnamed: 9: double
Unnamed: 10: double
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1562
to
{'id': Value(dtype='int64', id=None), 'item_name': Value(dtype='string', id=None), 'item_type': Value(dtype='string', id=None), 'quantity_total': Value(dtype='int64', id=None), 'quantity_available': Value(dtype='int64', id=None), 'location_storage_id': Value(dtype='int64', id=None), 'location_description': Value(dtype='string', id=None), 'details': Value(dtype='string', id=None), 'expiry_date': Value(dtype='string', id=None)}
because column names don't match
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1436, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1053, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 925, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1001, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1742, in _prepare_split
for job_id, done, content in self._prepare_split_single(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1873, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 10 new columns ({'Unnamed: 9', 'tools', 'bed_number', 'patient_id', 'room_id', 'attendee', 'hospital_inventory', 'assigned_at', 'discharged_at', 'Unnamed: 10'}) and 8 missing columns ({'location_storage_id', 'details', 'item_type', 'quantity_available', 'quantity_total', 'location_description', 'item_name', 'expiry_date'}).
This happened while the csv dataset builder was generating data using
hf://datasets/diamondgible2/Hospital-Resource-And-Patient-Management-Dataset/occupancy.csv (at revision 944498c47564d03ffd8cc5e9ef3a90e90a99259d)
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
id
int64 | item_name
string | item_type
string | quantity_total
int64 | quantity_available
int64 | location_storage_id
int64 | location_description
string | details
string | expiry_date
string |
|---|---|---|---|---|---|---|---|---|
1 |
Blood Type O- 1
|
blood_unit
| 1 | 1 | 20,015 |
Laboratory Storage
|
Hospital inventory: Blood Type O-
|
05-08-2025
|
2 |
Blood Type A+ 2
|
blood_unit
| 1 | 1 | 20,007 |
Pharmaceutical Storage
|
Hospital inventory: Blood Type A+
|
21-03-2026
|
3 |
Oxygen Tank 3
|
oxygen_tank
| 1 | 1 | 20,046 |
Medical Equipment Storage
|
Hospital inventory: Oxygen Tank
| null |
4 |
Blood Type A+ 4
|
blood_unit
| 1 | 1 | 20,030 |
Laboratory Storage
|
Hospital inventory: Blood Type A+
|
19-03-2026
|
5 |
Blood Type O- 5
|
blood_unit
| 1 | 1 | 20,030 |
Laboratory Storage
|
Hospital inventory: Blood Type O-
|
17-08-2025
|
6 |
Blood Type O- 6
|
blood_unit
| 1 | 1 | 20,028 |
Surgical Supplies Storage
|
Hospital inventory: Blood Type O-
|
21-12-2025
|
7 |
Medical Supplies 7
|
misc_equipment
| 1 | 1 | 20,050 |
Laboratory Storage
|
Hospital inventory: Medical Supplies
| null |
8 |
Blood Type O- 8
|
blood_unit
| 1 | 1 | 20,023 |
Surgical Supplies Storage
|
Hospital inventory: Blood Type O-
|
16-11-2025
|
9 |
Blood Type O- 9
|
blood_unit
| 1 | 1 | 20,040 |
Laboratory Storage
|
Hospital inventory: Blood Type O-
|
05-12-2025
|
10 |
Oxygen Tank 10
|
oxygen_tank
| 1 | 1 | 20,045 |
Laboratory Storage
|
Hospital inventory: Oxygen Tank
| null |
11 |
Medical Supplies 11
|
misc_equipment
| 1 | 1 | 20,022 |
Pharmaceutical Storage
|
Hospital inventory: Medical Supplies
| null |
12 |
Medical Supplies 12
|
misc_equipment
| 1 | 1 | 20,024 |
Emergency Equipment Storage
|
Hospital inventory: Medical Supplies
| null |
13 |
Oxygen Tank 13
|
oxygen_tank
| 1 | 1 | 20,018 |
Surgical Supplies Storage
|
Hospital inventory: Oxygen Tank
| null |
14 |
Blood Type A+ 14
|
blood_unit
| 1 | 1 | 20,014 |
Emergency Equipment Storage
|
Hospital inventory: Blood Type A+
|
12-08-2025
|
15 |
Oxygen Tank 15
|
oxygen_tank
| 1 | 1 | 20,048 |
Surgical Supplies Storage
|
Hospital inventory: Oxygen Tank
| null |
16 |
Blood Type A+ 16
|
blood_unit
| 1 | 1 | 20,043 |
Surgical Supplies Storage
|
Hospital inventory: Blood Type A+
|
21-08-2025
|
17 |
Oxygen Tank 17
|
oxygen_tank
| 1 | 1 | 20,041 |
Medical Equipment Storage
|
Hospital inventory: Oxygen Tank
| null |
18 |
Medical Supplies 18
|
misc_equipment
| 1 | 1 | 20,003 |
Surgical Supplies Storage
|
Hospital inventory: Medical Supplies
| null |
19 |
Blood Type O- 19
|
blood_unit
| 1 | 1 | 20,050 |
Laboratory Storage
|
Hospital inventory: Blood Type O-
|
16-07-2025
|
20 |
Blood Type A+ 20
|
blood_unit
| 1 | 1 | 20,001 |
Medical Equipment Storage
|
Hospital inventory: Blood Type A+
|
15-12-2025
|
21 |
Blood Type A+ 21
|
blood_unit
| 1 | 1 | 20,023 |
Surgical Supplies Storage
|
Hospital inventory: Blood Type A+
|
21-04-2026
|
22 |
Blood Type O- 22
|
blood_unit
| 1 | 1 | 20,012 |
Pharmaceutical Storage
|
Hospital inventory: Blood Type O-
|
31-12-2025
|
23 |
Oxygen Tank 23
|
oxygen_tank
| 1 | 1 | 20,010 |
Laboratory Storage
|
Hospital inventory: Oxygen Tank
| null |
24 |
Blood Type A+ 24
|
blood_unit
| 1 | 1 | 20,050 |
Laboratory Storage
|
Hospital inventory: Blood Type A+
|
03-06-2026
|
25 |
Blood Type O- 25
|
blood_unit
| 1 | 1 | 20,043 |
Surgical Supplies Storage
|
Hospital inventory: Blood Type O-
|
21-12-2025
|
26 |
Oxygen Tank 26
|
oxygen_tank
| 1 | 1 | 20,049 |
Emergency Equipment Storage
|
Hospital inventory: Oxygen Tank
| null |
27 |
Blood Type O- 27
|
blood_unit
| 1 | 1 | 20,025 |
Laboratory Storage
|
Hospital inventory: Blood Type O-
|
10-01-2026
|
28 |
Oxygen Tank 28
|
oxygen_tank
| 1 | 1 | 20,024 |
Emergency Equipment Storage
|
Hospital inventory: Oxygen Tank
| null |
29 |
Blood Type A+ 29
|
blood_unit
| 1 | 1 | 20,008 |
Surgical Supplies Storage
|
Hospital inventory: Blood Type A+
|
23-02-2026
|
30 |
Oxygen Tank 30
|
oxygen_tank
| 1 | 1 | 20,013 |
Surgical Supplies Storage
|
Hospital inventory: Oxygen Tank
| null |
31 |
Medical Supplies 31
|
misc_equipment
| 1 | 1 | 20,005 |
Laboratory Storage
|
Hospital inventory: Medical Supplies
| null |
32 |
Blood Type A+ 32
|
blood_unit
| 1 | 1 | 20,046 |
Medical Equipment Storage
|
Hospital inventory: Blood Type A+
|
09-04-2026
|
33 |
Medical Supplies 33
|
misc_equipment
| 1 | 1 | 20,008 |
Surgical Supplies Storage
|
Hospital inventory: Medical Supplies
| null |
34 |
Oxygen Tank 34
|
oxygen_tank
| 1 | 1 | 20,009 |
Emergency Equipment Storage
|
Hospital inventory: Oxygen Tank
| null |
35 |
Blood Type A+ 35
|
blood_unit
| 1 | 1 | 20,015 |
Laboratory Storage
|
Hospital inventory: Blood Type A+
|
10-02-2026
|
36 |
Medical Supplies 36
|
misc_equipment
| 1 | 1 | 20,025 |
Laboratory Storage
|
Hospital inventory: Medical Supplies
| null |
37 |
Medical Supplies 37
|
misc_equipment
| 1 | 1 | 20,046 |
Medical Equipment Storage
|
Hospital inventory: Medical Supplies
| null |
38 |
Oxygen Tank 38
|
oxygen_tank
| 1 | 1 | 20,007 |
Pharmaceutical Storage
|
Hospital inventory: Oxygen Tank
| null |
39 |
Oxygen Tank 39
|
oxygen_tank
| 1 | 1 | 20,037 |
Pharmaceutical Storage
|
Hospital inventory: Oxygen Tank
| null |
40 |
Blood Type O- 40
|
blood_unit
| 1 | 1 | 20,049 |
Emergency Equipment Storage
|
Hospital inventory: Blood Type O-
|
28-07-2025
|
41 |
Medical Supplies 41
|
misc_equipment
| 1 | 1 | 20,050 |
Laboratory Storage
|
Hospital inventory: Medical Supplies
| null |
42 |
Oxygen Tank 42
|
oxygen_tank
| 1 | 1 | 20,027 |
Pharmaceutical Storage
|
Hospital inventory: Oxygen Tank
| null |
43 |
Blood Type A+ 43
|
blood_unit
| 1 | 1 | 20,034 |
Emergency Equipment Storage
|
Hospital inventory: Blood Type A+
|
26-09-2025
|
44 |
Oxygen Tank 44
|
oxygen_tank
| 1 | 1 | 20,002 |
Pharmaceutical Storage
|
Hospital inventory: Oxygen Tank
| null |
45 |
Medical Supplies 45
|
misc_equipment
| 1 | 1 | 20,012 |
Pharmaceutical Storage
|
Hospital inventory: Medical Supplies
| null |
46 |
Blood Type O- 46
|
blood_unit
| 1 | 1 | 20,045 |
Laboratory Storage
|
Hospital inventory: Blood Type O-
|
13-11-2025
|
47 |
Blood Type O- 47
|
blood_unit
| 1 | 1 | 20,007 |
Pharmaceutical Storage
|
Hospital inventory: Blood Type O-
|
05-10-2025
|
48 |
Medical Supplies 48
|
misc_equipment
| 1 | 1 | 20,005 |
Laboratory Storage
|
Hospital inventory: Medical Supplies
| null |
49 |
Oxygen Tank 49
|
oxygen_tank
| 1 | 1 | 20,036 |
Medical Equipment Storage
|
Hospital inventory: Oxygen Tank
| null |
50 |
Oxygen Tank 50
|
oxygen_tank
| 1 | 1 | 20,044 |
Emergency Equipment Storage
|
Hospital inventory: Oxygen Tank
| null |
51 |
Oxygen Tank 51
|
oxygen_tank
| 1 | 1 | 20,041 |
Medical Equipment Storage
|
Hospital inventory: Oxygen Tank
| null |
52 |
Medical Supplies 52
|
misc_equipment
| 1 | 1 | 20,042 |
Pharmaceutical Storage
|
Hospital inventory: Medical Supplies
| null |
53 |
Blood Type A+ 53
|
blood_unit
| 1 | 1 | 20,044 |
Emergency Equipment Storage
|
Hospital inventory: Blood Type A+
|
07-05-2026
|
54 |
Oxygen Tank 54
|
oxygen_tank
| 1 | 1 | 20,029 |
Emergency Equipment Storage
|
Hospital inventory: Oxygen Tank
| null |
55 |
Medical Supplies 55
|
misc_equipment
| 1 | 1 | 20,042 |
Pharmaceutical Storage
|
Hospital inventory: Medical Supplies
| null |
56 |
Oxygen Tank 56
|
oxygen_tank
| 1 | 1 | 20,017 |
Pharmaceutical Storage
|
Hospital inventory: Oxygen Tank
| null |
57 |
Medical Supplies 57
|
misc_equipment
| 1 | 1 | 20,001 |
Medical Equipment Storage
|
Hospital inventory: Medical Supplies
| null |
58 |
Oxygen Tank 58
|
oxygen_tank
| 1 | 1 | 20,022 |
Pharmaceutical Storage
|
Hospital inventory: Oxygen Tank
| null |
59 |
Blood Type A+ 59
|
blood_unit
| 1 | 1 | 20,048 |
Surgical Supplies Storage
|
Hospital inventory: Blood Type A+
|
28-05-2026
|
60 |
Blood Type O- 60
|
blood_unit
| 1 | 1 | 20,048 |
Surgical Supplies Storage
|
Hospital inventory: Blood Type O-
|
29-05-2026
|
61 |
Blood Type O- 61
|
blood_unit
| 1 | 1 | 20,042 |
Pharmaceutical Storage
|
Hospital inventory: Blood Type O-
|
14-07-2025
|
62 |
Medical Supplies 62
|
misc_equipment
| 1 | 1 | 20,005 |
Laboratory Storage
|
Hospital inventory: Medical Supplies
| null |
63 |
Blood Type A+ 63
|
blood_unit
| 1 | 1 | 20,042 |
Pharmaceutical Storage
|
Hospital inventory: Blood Type A+
|
31-05-2026
|
64 |
Oxygen Tank 64
|
oxygen_tank
| 1 | 1 | 20,043 |
Surgical Supplies Storage
|
Hospital inventory: Oxygen Tank
| null |
65 |
Blood Type O- 65
|
blood_unit
| 1 | 1 | 20,009 |
Emergency Equipment Storage
|
Hospital inventory: Blood Type O-
|
22-04-2026
|
66 |
Oxygen Tank 66
|
oxygen_tank
| 1 | 1 | 20,036 |
Medical Equipment Storage
|
Hospital inventory: Oxygen Tank
| null |
67 |
Blood Type A+ 67
|
blood_unit
| 1 | 1 | 20,027 |
Pharmaceutical Storage
|
Hospital inventory: Blood Type A+
|
04-04-2026
|
68 |
Medical Supplies 68
|
misc_equipment
| 1 | 1 | 20,017 |
Pharmaceutical Storage
|
Hospital inventory: Medical Supplies
| null |
69 |
Blood Type O- 69
|
blood_unit
| 1 | 1 | 20,003 |
Surgical Supplies Storage
|
Hospital inventory: Blood Type O-
|
14-05-2026
|
70 |
Oxygen Tank 70
|
oxygen_tank
| 1 | 1 | 20,032 |
Pharmaceutical Storage
|
Hospital inventory: Oxygen Tank
| null |
71 |
Oxygen Tank 71
|
oxygen_tank
| 1 | 1 | 20,038 |
Surgical Supplies Storage
|
Hospital inventory: Oxygen Tank
| null |
72 |
Oxygen Tank 72
|
oxygen_tank
| 1 | 1 | 20,031 |
Medical Equipment Storage
|
Hospital inventory: Oxygen Tank
| null |
73 |
Blood Type O- 73
|
blood_unit
| 1 | 1 | 20,006 |
Medical Equipment Storage
|
Hospital inventory: Blood Type O-
|
06-07-2025
|
74 |
Medical Supplies 74
|
misc_equipment
| 1 | 1 | 20,031 |
Medical Equipment Storage
|
Hospital inventory: Medical Supplies
| null |
75 |
Oxygen Tank 75
|
oxygen_tank
| 1 | 1 | 20,050 |
Laboratory Storage
|
Hospital inventory: Oxygen Tank
| null |
76 |
Oxygen Tank 76
|
oxygen_tank
| 1 | 1 | 20,038 |
Surgical Supplies Storage
|
Hospital inventory: Oxygen Tank
| null |
77 |
Blood Type O- 77
|
blood_unit
| 1 | 1 | 20,009 |
Emergency Equipment Storage
|
Hospital inventory: Blood Type O-
|
11-07-2025
|
78 |
Oxygen Tank 78
|
oxygen_tank
| 1 | 1 | 20,050 |
Laboratory Storage
|
Hospital inventory: Oxygen Tank
| null |
79 |
Blood Type O- 79
|
blood_unit
| 1 | 1 | 20,011 |
Medical Equipment Storage
|
Hospital inventory: Blood Type O-
|
09-12-2025
|
80 |
Oxygen Tank 80
|
oxygen_tank
| 1 | 1 | 20,050 |
Laboratory Storage
|
Hospital inventory: Oxygen Tank
| null |
81 |
Blood Type O- 81
|
blood_unit
| 1 | 1 | 20,007 |
Pharmaceutical Storage
|
Hospital inventory: Blood Type O-
|
11-10-2025
|
82 |
Blood Type A+ 82
|
blood_unit
| 1 | 1 | 20,043 |
Surgical Supplies Storage
|
Hospital inventory: Blood Type A+
|
10-10-2025
|
83 |
Medical Supplies 83
|
misc_equipment
| 1 | 1 | 20,017 |
Pharmaceutical Storage
|
Hospital inventory: Medical Supplies
| null |
84 |
Blood Type O- 84
|
blood_unit
| 1 | 1 | 20,028 |
Surgical Supplies Storage
|
Hospital inventory: Blood Type O-
|
07-11-2025
|
85 |
Blood Type O- 85
|
blood_unit
| 1 | 1 | 20,036 |
Medical Equipment Storage
|
Hospital inventory: Blood Type O-
|
19-01-2026
|
86 |
Medical Supplies 86
|
misc_equipment
| 1 | 1 | 20,043 |
Surgical Supplies Storage
|
Hospital inventory: Medical Supplies
| null |
87 |
Oxygen Tank 87
|
oxygen_tank
| 1 | 1 | 20,005 |
Laboratory Storage
|
Hospital inventory: Oxygen Tank
| null |
88 |
Blood Type A+ 88
|
blood_unit
| 1 | 1 | 20,050 |
Laboratory Storage
|
Hospital inventory: Blood Type A+
|
27-07-2025
|
89 |
Oxygen Tank 89
|
oxygen_tank
| 1 | 1 | 20,027 |
Pharmaceutical Storage
|
Hospital inventory: Oxygen Tank
| null |
90 |
Blood Type O- 90
|
blood_unit
| 1 | 1 | 20,005 |
Laboratory Storage
|
Hospital inventory: Blood Type O-
|
25-03-2026
|
91 |
Medical Supplies 91
|
misc_equipment
| 1 | 1 | 20,015 |
Laboratory Storage
|
Hospital inventory: Medical Supplies
| null |
92 |
Medical Supplies 92
|
misc_equipment
| 1 | 1 | 20,002 |
Pharmaceutical Storage
|
Hospital inventory: Medical Supplies
| null |
93 |
Medical Supplies 93
|
misc_equipment
| 1 | 1 | 20,014 |
Emergency Equipment Storage
|
Hospital inventory: Medical Supplies
| null |
94 |
Blood Type A+ 94
|
blood_unit
| 1 | 1 | 20,037 |
Pharmaceutical Storage
|
Hospital inventory: Blood Type A+
|
13-10-2025
|
95 |
Oxygen Tank 95
|
oxygen_tank
| 1 | 1 | 20,002 |
Pharmaceutical Storage
|
Hospital inventory: Oxygen Tank
| null |
96 |
Blood Type A+ 96
|
blood_unit
| 1 | 1 | 20,006 |
Medical Equipment Storage
|
Hospital inventory: Blood Type A+
|
15-02-2026
|
97 |
Blood Type O- 97
|
blood_unit
| 1 | 1 | 20,003 |
Surgical Supplies Storage
|
Hospital inventory: Blood Type O-
|
13-05-2026
|
98 |
Medical Supplies 98
|
misc_equipment
| 1 | 1 | 20,024 |
Emergency Equipment Storage
|
Hospital inventory: Medical Supplies
| null |
99 |
Blood Type O- 99
|
blood_unit
| 1 | 1 | 20,009 |
Emergency Equipment Storage
|
Hospital inventory: Blood Type O-
|
31-08-2025
|
100 |
Medical Supplies 100
|
misc_equipment
| 1 | 1 | 20,036 |
Medical Equipment Storage
|
Hospital inventory: Medical Supplies
| null |
Hospital Resource & Patient Management Dataset
This synthetic dataset contains comprehensive information related to hospital operations, including inventory, occupancy, patient records, room assignments, storage facilities, tools, and user profiles. It is structured into multiple CSV files, each representing a specific aspect of hospital management:
- hospital_inventory.csv: Details of medical supplies and equipment available in the hospital.
- occupancy.csv: Information on room occupancy, including patient assignments and availability.
- patient_records.csv: Records of patients, including medical history and treatment details.
- rooms.csv: Data on hospital rooms, their types, and capacities.
- storage_rooms.csv: Information on storage facilities for medical supplies and equipment.
- tools.csv: List of tools and devices used in hospital operations.
- users.csv: Profiles of hospital staff and patients, including contact details, emergency contacts, and roles.
Table Relationships
The dataset includes interconnected tables to represent the relationships between different entities in the hospital:
Patient Records and Rooms:
- Each patient in
patient_records.csvis assigned to a room inrooms.csv. - The
room_numberfield inpatient_records.csvcorresponds to theroom_numberfield inrooms.csv.
- Each patient in
Staff and Rooms:
- Staff members in
users.csvare assigned to specific rooms for patient care or management. - The
staff_typefield inusers.csvindicates the role (e.g., nurse, doctor) and their association with rooms.
- Staff members in
Inventory and Storage Rooms:
- Medical supplies and equipment in
hospital_inventory.csvare stored in locations specified instorage_rooms.csv. - The
locationfield inhospital_inventory.csvmaps to thestorage_room_idfield instorage_rooms.csv.
- Medical supplies and equipment in
Tools and Usage:
- Tools listed in
tools.csvare used by staff members inusers.csvand are associated with specific rooms inrooms.csv. - The
tool_idfield intools.csvlinks to thetool_usagefield inoccupancy.csv.
- Tools listed in
Occupancy and Patient Records:
- The
occupancy.csvtable tracks room usage and patient assignments, linkingpatient_idfrompatient_records.csvtoroom_numberinrooms.csv.
- The
Applications
This dataset is ideal for:
- Healthcare Analytics: Analyze patient flow, staff workload, and resource utilization.
- Machine Learning: Predict patient outcomes, optimize room assignments, and forecast inventory needs.
- Operational Research: Improve hospital efficiency and reduce costs through data-driven insights.
It is suitable for research and analysis in healthcare management, resource optimization, and operational efficiency. It provides anonymized and structured data that can be used for machine learning, statistical modeling, and other data-driven applications.
License
This dataset is provided under an open license for research and educational purposes. Please ensure proper attribution when using this dataset.
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