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Datasets:
electricsheepafrica
/
africa-synth-laboratory-information-systems-all

Tasks:
Tabular Classification
Modalities:
Tabular
Text
Formats:
csv
Languages:
English
Size:
10K - 100K
Tags:
laboratory
LIS
information-systems
digital-health
data-quality
Synthetic
Libraries:
Datasets
pandas
Polars
License:
Dataset card Data Studio Files
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 Community
Dataset Viewer
Auto-converted to Parquet Duplicate
id
int64
facility_level
string
location
string
ownership
string
power_reliable
int64
solar_backup
int64
generator_available
int64
internet_available
int64
internet_type
string
computers_available
int64
lis_available
int64
lis_type
string
lis_fully_electronic
int64
paper_register
int64
dual_system
int64
barcode_scanning
int64
auto_result_entry
int64
order_entry_electronic
int64
result_sms_delivery
int64
tat_tracked
int64
stock_management_electronic
int64
quality_module
int64
data_completeness_pct
int64
data_timeliness_pct
int64
data_accuracy_pct
int64
duplicate_records_pct
int64
dhis2_reporting
int64
monthly_report_timely
int64
aggregate_only
int64
patient_level_data
int64
data_backup
int64
backup_offsite
int64
password_protected
int64
it_support_available
int64
staff_trained_lis
int64
interoperability_emr
int64
tests_per_month
int64
test_menu_items
int64
year
int64
1
health_centre
peri_urban
private
0
1
0
0
none
0
0
none
0
1
0
0
0
0
0
0
0
0
61
41
58
53
1
0
1
0
1
0
0
0
0
0
797
10
2,023
2
district
rural
government
1
0
0
0
none
2
0
none
0
1
0
0
0
0
0
0
0
0
37
53
53
54
0
0
0
0
0
0
0
0
0
0
516
12
2,023
3
health_centre
rural
private
0
0
1
1
none
0
0
none
0
1
0
0
0
0
0
0
0
0
58
54
54
47
0
1
0
0
0
0
0
0
0
0
446
13
2,022
4
health_centre
remote
ngo
0
0
1
1
broadband
0
0
none
0
1
0
0
0
0
0
0
0
0
57
48
52
49
0
0
0
0
0
0
0
0
0
0
413
4
2,020
5
private
remote
private
0
0
1
0
none
0
0
none
0
1
0
0
0
0
0
0
0
0
41
11
45
45
0
0
0
0
0
0
0
0
0
0
894
40
2,021
6
regional
urban
ngo
1
0
0
0
none
2
0
none
0
1
0
0
0
0
0
1
0
0
79
98
49
42
0
1
0
0
0
0
0
0
0
0
1,759
31
2,020
7
health_centre
urban
private
1
0
0
0
none
1
0
none
0
1
0
0
0
0
1
0
0
0
81
23
55
42
0
1
0
0
0
0
0
0
0
0
208
3
2,023
8
private
rural
faith_based
0
0
0
0
none
0
0
none
0
1
0
0
0
0
0
0
0
0
52
15
28
63
0
1
0
0
0
0
0
0
0
0
366
35
2,023
9
health_centre
urban
government
1
0
1
0
none
0
0
none
0
1
0
0
0
0
0
0
0
0
44
58
29
50
1
0
1
0
0
0
0
0
0
0
874
10
2,023
10
national_reference
rural
ngo
1
0
1
0
none
6
0
none
0
1
0
0
0
0
0
0
0
0
47
18
38
42
0
0
0
0
0
0
0
0
0
0
3,260
53
2,019
11
health_centre
urban
private
1
0
1
0
none
1
0
none
0
1
0
0
0
0
1
1
0
0
53
28
50
58
0
1
0
0
0
0
0
0
0
0
277
28
2,022
12
district
urban
government
0
1
0
1
none
0
0
none
0
1
0
0
0
0
0
0
0
0
42
45
45
47
1
0
1
0
0
0
0
0
0
0
345
14
2,020
13
health_centre
peri_urban
government
1
0
0
0
none
2
0
none
0
0
0
0
0
0
0
0
0
0
56
74
50
56
0
0
0
0
0
0
0
0
0
0
257
21
2,019
14
health_centre
urban
faith_based
1
0
0
0
none
4
0
none
0
1
0
0
0
0
0
0
0
0
67
52
20
52
0
0
0
0
0
0
0
0
0
0
84
23
2,022
15
district
remote
private
0
0
0
0
none
0
0
none
0
1
0
0
0
0
0
0
0
0
64
18
43
61
0
0
0
0
0
0
0
0
0
0
595
18
2,019
16
private
rural
government
0
0
1
0
none
0
0
none
0
1
0
0
0
0
0
0
0
0
56
50
48
38
0
0
0
0
0
0
0
0
0
0
441
31
2,019
17
private
urban
government
1
0
0
1
none
2
1
custom_built
0
1
1
0
0
0
0
0
0
0
48
67
46
43
1
0
0
1
0
0
0
0
0
0
326
33
2,023
18
health_centre
urban
government
1
0
0
0
none
3
0
none
0
1
0
0
0
0
0
0
0
0
45
62
49
48
0
0
0
0
0
0
0
0
0
0
152
14
2,022
19
district
peri_urban
government
0
0
1
0
none
0
0
none
0
1
0
0
0
0
0
0
0
0
43
34
47
54
0
0
0
0
0
0
0
0
0
0
944
12
2,023
20
health_centre
rural
private
0
0
0
1
broadband
0
0
none
0
1
0
0
0
0
0
0
0
0
45
58
23
47
0
0
0
0
0
0
0
0
0
0
27
7
2,023
21
health_centre
peri_urban
private
0
0
0
1
mobile_data
0
0
none
0
1
0
0
0
0
0
0
0
0
74
20
34
60
1
0
1
0
0
0
0
0
0
0
1,048
9
2,020
22
private
urban
government
1
0
0
0
none
2
0
none
0
1
0
0
0
0
0
0
0
0
47
44
32
55
0
0
0
0
0
0
0
0
0
0
586
23
2,023
23
district
rural
government
1
0
0
0
none
1
0
none
0
1
0
0
0
0
1
0
0
0
58
43
27
49
0
0
0
0
0
0
0
0
0
0
245
14
2,022
24
private
remote
private
1
0
0
0
none
8
1
spreadsheet
0
0
0
0
0
0
0
1
0
0
58
55
50
36
1
1
0
0
0
0
0
0
0
0
909
25
2,022
25
private
urban
government
0
1
0
0
none
0
0
none
0
1
0
0
0
0
0
0
0
0
88
31
21
47
0
0
0
0
0
0
0
0
0
0
1,312
46
2,020
26
district
urban
ngo
0
0
0
0
none
0
0
none
0
1
0
0
0
0
0
0
0
0
33
51
48
43
0
1
0
0
0
0
0
0
0
0
228
11
2,020
27
district
remote
government
0
0
0
0
none
0
0
none
0
1
0
0
0
0
0
0
0
0
55
48
49
48
0
0
0
0
0
0
0
0
0
0
211
8
2,022
28
regional
rural
faith_based
0
0
1
0
none
0
1
openellis
0
1
1
0
0
0
1
0
0
1
35
21
51
48
0
1
0
1
0
0
1
0
0
0
1,298
27
2,023
29
district
peri_urban
government
0
0
1
0
none
0
0
none
0
1
0
0
0
0
0
0
0
0
50
50
42
52
1
1
1
0
1
1
0
0
0
0
132
3
2,019
30
private
rural
government
0
0
0
0
none
0
0
none
0
1
0
0
0
0
0
0
0
0
36
57
52
53
1
0
1
0
0
0
0
0
1
0
801
25
2,022
31
health_centre
rural
government
0
0
1
0
none
0
0
none
0
1
0
0
0
0
0
0
0
0
49
38
66
57
1
0
1
0
0
0
0
0
0
0
165
3
2,020
32
health_centre
remote
government
0
0
0
0
none
0
0
none
0
1
0
0
0
0
0
0
0
0
69
61
43
40
0
0
0
0
1
0
0
0
0
0
384
8
2,022
33
regional
remote
government
1
0
0
0
none
6
0
none
0
1
0
0
0
0
0
0
0
0
44
24
34
47
1
0
1
0
1
0
0
0
0
0
832
32
2,022
34
health_centre
peri_urban
ngo
0
0
1
0
none
0
0
none
0
1
0
0
0
0
0
0
0
0
20
53
33
38
0
0
0
0
0
0
0
0
0
0
187
11
2,019
35
health_centre
remote
ngo
0
1
0
0
none
0
0
none
0
0
0
0
0
0
0
0
0
0
33
16
31
52
0
0
0
0
0
0
0
0
0
0
216
12
2,020
36
private
rural
private
0
0
0
0
none
0
0
none
0
1
0
0
0
0
0
0
0
0
46
14
45
41
1
0
1
0
0
0
0
0
0
0
2,366
34
2,020
37
district
urban
faith_based
0
0
0
0
none
0
0
none
0
1
0
0
0
0
0
0
0
0
50
48
58
63
1
0
1
0
0
0
0
0
1
0
355
19
2,022
38
health_centre
peri_urban
government
1
0
0
0
none
2
0
none
0
1
0
0
0
0
1
0
0
0
42
84
44
53
1
0
1
0
0
0
0
0
1
0
244
6
2,021
39
regional
urban
ngo
0
0
0
0
none
0
0
none
0
1
0
0
0
0
0
0
0
0
56
9
47
55
0
1
0
0
0
0
0
0
0
0
588
26
2,021
40
private
peri_urban
private
0
0
0
0
none
0
0
none
0
1
0
0
0
0
0
0
0
0
43
52
45
52
0
0
0
0
0
0
0
1
0
0
502
16
2,020
41
health_centre
urban
government
1
0
0
0
none
2
0
none
0
0
0
0
0
0
0
0
0
0
49
60
59
51
0
1
0
0
0
0
0
0
0
0
571
17
2,021
42
health_centre
rural
ngo
0
0
0
0
none
0
0
none
0
0
0
0
0
0
0
0
0
0
51
88
28
61
0
1
0
0
0
0
0
0
0
0
208
21
2,020
43
national_reference
peri_urban
private
0
1
0
1
mobile_data
0
0
none
0
1
0
0
0
0
0
0
0
0
92
28
62
51
1
0
1
0
0
0
0
0
0
0
218
35
2,021
44
health_centre
rural
private
0
0
0
0
none
0
0
none
0
1
0
0
0
0
0
0
0
0
66
52
52
54
0
0
0
0
0
0
0
0
0
0
986
9
2,021
45
private
urban
faith_based
1
0
1
0
none
1
1
commercial
0
1
1
0
0
0
0
0
0
0
39
67
43
60
0
0
0
0
0
0
1
0
0
0
758
35
2,019
46
district
urban
private
0
0
1
0
none
0
0
none
0
1
0
0
0
0
0
0
0
0
13
11
30
47
0
0
0
0
0
0
0
0
0
0
215
9
2,022
47
health_centre
peri_urban
government
0
0
0
0
none
0
0
none
0
1
0
0
0
0
0
0
0
0
37
52
44
38
0
0
0
0
0
0
0
0
0
0
244
18
2,020
48
health_centre
urban
private
1
0
1
1
mobile_data
1
0
none
0
1
0
0
0
0
0
1
0
0
84
45
55
46
0
0
0
0
0
0
0
0
0
0
115
22
2,023
49
health_centre
rural
faith_based
1
0
0
0
none
3
0
none
0
1
0
0
0
0
0
0
0
0
51
46
35
50
0
1
0
0
0
0
0
0
0
0
196
20
2,022
50
private
remote
government
0
0
0
0
none
0
0
none
0
1
0
0
0
0
0
0
0
0
49
74
39
57
0
1
0
0
0
0
0
0
0
0
1,273
35
2,022
51
regional
remote
government
0
0
1
1
mobile_data
0
0
none
0
1
0
0
0
0
0
0
0
0
19
55
45
52
0
0
0
0
0
0
0
0
0
0
546
12
2,022
52
private
remote
private
1
0
0
0
none
4
0
none
0
1
0
0
0
0
0
0
0
0
44
16
54
44
0
1
0
0
0
0
0
1
0
0
1,943
23
2,022
53
district
rural
government
0
0
1
1
mobile_data
0
0
none
0
1
0
0
0
0
0
0
0
0
56
77
50
55
0
0
0
0
0
0
0
0
1
0
131
30
2,019
54
health_centre
peri_urban
faith_based
1
0
0
0
none
0
1
spreadsheet
0
1
1
0
0
0
0
1
0
0
44
47
31
60
0
0
0
0
0
0
0
0
0
0
468
13
2,023
55
private
rural
government
0
0
0
0
none
0
1
openellis
0
1
1
0
0
1
0
0
0
0
47
51
28
59
1
1
0
1
0
0
1
0
0
0
1,130
26
2,022
56
private
remote
government
1
0
1
0
none
5
0
none
0
1
0
0
0
0
0
0
0
0
59
54
41
42
1
0
1
0
0
0
0
0
0
0
276
38
2,021
57
regional
rural
government
0
1
0
0
none
0
0
none
0
1
0
0
0
0
1
0
0
0
48
32
62
49
0
0
0
0
0
0
0
0
0
0
378
33
2,023
58
health_centre
rural
government
0
0
1
0
none
0
0
none
0
1
0
0
0
0
0
0
0
0
81
10
40
63
0
0
0
0
0
0
0
0
0
0
605
3
2,020
59
district
peri_urban
government
0
0
1
0
none
0
0
none
0
1
0
0
0
0
0
0
0
0
41
27
60
52
0
1
0
0
0
0
0
0
0
0
316
16
2,021
60
district
urban
private
0
0
0
0
none
0
0
none
0
1
0
0
0
0
0
0
0
0
43
61
59
48
0
0
0
0
0
0
0
0
0
0
1,496
4
2,023
61
health_centre
remote
faith_based
0
0
0
0
none
0
0
none
0
0
0
0
0
0
0
0
0
0
58
47
26
44
0
0
0
0
0
0
0
0
0
0
573
10
2,023
62
regional
rural
private
0
0
0
0
none
0
0
none
0
1
0
0
0
0
0
0
0
0
55
39
27
39
1
0
1
0
0
0
0
1
0
0
1,164
24
2,021
63
health_centre
peri_urban
government
1
0
0
0
none
4
0
none
0
0
0
0
0
0
0
0
0
0
49
62
60
38
1
0
1
0
0
0
0
0
0
0
377
9
2,020
64
regional
remote
government
0
0
0
1
broadband
0
0
none
0
1
0
0
0
0
0
0
0
0
66
5
64
53
0
1
0
0
0
0
0
0
0
0
1,785
15
2,021
65
private
rural
private
0
0
0
1
broadband
0
0
none
0
1
0
0
0
0
0
0
0
0
39
29
60
54
0
0
0
0
0
0
0
0
0
0
831
49
2,021
66
health_centre
rural
faith_based
1
0
0
0
none
2
0
none
0
0
0
0
0
0
0
0
0
0
25
59
49
44
1
1
1
0
0
0
0
0
0
0
500
7
2,019
67
district
remote
government
0
0
0
0
none
0
0
none
0
1
0
0
0
0
0
0
0
0
85
5
47
40
0
0
0
0
0
0
0
0
0
0
369
20
2,023
68
health_centre
peri_urban
ngo
1
0
0
0
none
2
0
none
0
1
0
0
0
0
0
1
0
0
78
62
46
42
0
0
0
0
0
0
0
0
0
0
94
7
2,021
69
health_centre
urban
private
1
0
1
1
none
3
0
none
0
1
0
0
0
0
0
0
0
0
40
26
38
58
0
0
0
0
0
0
0
0
0
0
161
6
2,019
70
district
peri_urban
government
1
0
0
0
none
2
0
none
0
1
0
0
0
0
0
0
0
0
54
13
47
41
0
1
0
0
0
0
0
0
0
0
791
20
2,021
71
district
urban
government
1
0
0
0
none
1
0
none
0
1
0
0
0
0
0
0
0
0
49
48
41
46
0
1
0
0
0
0
0
0
0
0
62
3
2,020
72
district
peri_urban
ngo
0
0
0
0
none
0
0
none
0
0
0
0
0
0
0
0
0
0
36
53
55
62
0
0
0
0
0
0
0
0
0
0
476
12
2,022
73
district
rural
government
0
1
1
0
none
0
0
none
0
1
0
0
0
0
0
0
0
0
44
53
37
51
0
1
0
0
1
0
0
1
0
0
98
17
2,021
74
regional
remote
faith_based
1
0
1
0
none
3
0
none
0
1
0
0
0
0
0
0
0
0
60
76
62
36
1
1
1
0
0
0
0
1
0
0
320
31
2,023
75
health_centre
urban
government
0
0
1
1
mobile_data
0
0
none
0
1
0
0
0
0
0
0
0
0
66
52
43
54
0
1
0
0
0
0
0
0
0
0
451
16
2,023
76
health_centre
rural
government
0
0
0
1
none
0
0
none
0
1
0
0
0
0
0
0
0
0
41
19
55
55
1
0
1
0
0
0
0
0
0
0
292
3
2,020
77
health_centre
remote
government
0
0
1
1
none
0
0
none
0
1
0
0
0
0
0
0
0
0
53
5
37
51
0
0
0
0
0
0
0
0
0
0
179
9
2,020
78
health_centre
urban
government
1
0
0
0
none
1
1
custom_built
0
1
1
0
0
0
0
0
0
0
46
24
41
51
0
0
0
1
0
0
0
1
0
0
410
14
2,022
79
private
remote
government
0
0
1
0
none
0
0
none
0
1
0
0
0
0
0
0
0
0
59
14
66
55
1
1
1
0
0
0
0
0
0
0
1,194
33
2,022
80
private
peri_urban
government
0
0
0
0
none
0
0
none
0
1
0
0
0
0
0
0
0
0
59
32
46
55
0
1
0
0
0
0
0
0
0
0
3,474
23
2,021
81
private
rural
government
0
0
1
0
none
0
0
none
0
1
0
0
0
0
0
0
0
0
58
30
23
45
0
0
0
0
0
0
0
0
0
0
653
37
2,019
82
private
peri_urban
government
1
0
0
0
none
1
1
commercial
0
1
1
0
0
1
0
0
0
0
48
30
37
53
0
0
0
0
0
0
0
0
0
0
176
42
2,023
83
regional
rural
government
0
0
0
0
none
0
1
blis
0
1
1
0
0
0
0
0
0
0
61
51
45
43
0
0
0
1
0
0
1
0
0
0
4,867
26
2,023
84
health_centre
urban
government
1
0
0
0
none
2
0
none
0
1
0
0
0
0
1
0
0
0
64
32
46
49
0
1
0
0
0
0
0
0
0
0
156
17
2,021
85
regional
urban
faith_based
0
0
0
0
none
0
1
openellis
0
0
0
0
0
0
0
0
0
0
57
50
52
47
0
0
0
1
0
0
0
0
0
0
3,747
34
2,020
86
regional
peri_urban
government
1
0
1
0
none
6
0
none
0
1
0
0
0
0
0
0
0
0
59
31
54
57
0
1
0
0
0
0
0
0
0
0
446
18
2,022
87
health_centre
remote
private
0
1
0
0
none
0
0
none
0
1
0
0
0
0
0
0
0
0
30
71
33
41
0
0
0
0
0
0
0
0
0
0
98
19
2,020
88
national_reference
rural
government
1
0
0
0
none
6
0
none
0
0
0
0
0
0
0
1
0
0
52
36
50
56
1
0
1
0
0
0
0
0
1
0
1,242
37
2,020
89
private
urban
government
0
0
0
0
none
0
0
none
0
1
0
0
0
0
0
0
0
0
60
85
56
37
1
1
1
0
0
0
0
0
0
0
5,872
23
2,019
90
national_reference
urban
private
1
0
0
0
none
6
0
none
0
0
0
0
0
0
0
0
0
0
45
48
71
47
0
1
0
0
0
0
0
0
0
0
127
41
2,020
91
health_centre
remote
government
1
0
1
1
none
1
0
none
0
1
0
0
0
0
0
0
0
0
19
36
54
42
0
1
0
0
0
0
0
0
0
0
291
13
2,023
92
district
rural
government
0
0
0
0
none
0
0
none
0
1
0
0
0
0
0
0
0
0
66
32
34
56
1
1
1
0
0
0
0
0
0
0
449
6
2,022
93
health_centre
remote
private
0
0
0
0
none
0
0
none
0
1
0
0
0
0
0
0
0
0
20
54
25
52
0
0
0
0
1
0
0
0
0
0
657
14
2,023
94
health_centre
rural
ngo
1
0
0
0
none
2
0
none
0
1
0
0
0
0
0
0
0
0
70
25
37
54
0
0
0
0
0
0
0
0
0
0
743
28
2,023
95
health_centre
urban
government
1
0
0
0
none
2
0
none
0
0
0
0
0
0
0
1
0
0
48
41
51
42
1
0
1
0
0
0
0
1
0
0
577
7
2,019
96
private
remote
government
0
0
0
1
broadband
0
0
none
0
1
0
0
0
0
0
0
0
0
39
24
39
60
0
0
0
0
0
0
0
0
0
0
362
30
2,022
97
health_centre
rural
government
0
0
0
0
none
0
1
commercial
0
1
1
0
0
0
0
0
1
0
38
61
71
49
0
1
0
0
1
1
1
1
0
0
1,013
14
2,022
98
district
urban
government
0
0
1
0
none
0
0
none
0
1
0
0
0
0
0
0
0
0
46
75
42
35
1
1
1
0
1
0
0
0
0
0
462
13
2,023
99
health_centre
urban
government
0
1
0
0
none
0
0
none
0
1
0
0
0
0
0
0
0
0
49
30
41
66
1
0
1
0
0
0
0
0
0
0
409
8
2,021
100
district
remote
private
0
0
0
0
none
0
0
none
0
1
0
0
0
0
0
0
0
0
22
49
72
55
0
0
0
0
0
0
0
0
0
0
826
22
2,020
End of preview. Expand in Data Studio

⚠️ Synthetic dataset — Parameterized from published SSA literature, not real observations. Not suitable for empirical analysis or policy inference.

Laboratory Information Systems

Abstract

Synthetic dataset modeling laboratory information system adoption across three SSA scenarios. Captures LIS availability, type (OpenELIS/BLIS/commercial), infrastructure (power/internet), functionality (barcode/auto-entry/SMS), data quality, DHIS2 reporting, security, and workforce training. Parameterized from SSA LIS implementation research.

Parameterization Evidence

Parameter Value Source Year
LIS adoption SSA <15% of labs Nguyen et al. BMC Med Inform 2018
Paper-based systems >80% of SSA labs Nguyen et al. 2018
Internet connectivity <30% health facilities Were et al. JAMIA 2015
Paper record incomplete 30-50% Sarkinfada et al. Afr J Lab Med 2012

Validation

Validation Report

Usage 

from datasets import load_dataset
ds = load_dataset("electricsheepafrica/laboratory-information-systems", name="partial_lis")
df = ds['train'].to_pandas()

References

  1. Nguyen TT et al. (2018). LIS low-resource. BMC Med Inform Decis Mak. DOI: 10.1186/s12911-018-0693-x
  2. Were MC et al. (2015). EHR in SSA. JAMIA. DOI: 10.1093/jamia/ocu023
  3. Sarkinfada F et al. (2012). Lab informatics Nigeria. Afr J Lab Med. DOI: 10.4102/ajlm.v1i1.18

License

CC-BY-4.0
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