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Datasets:
electricsheepafrica
/
africa-synth-electronic-health-records-all

Tasks:
Tabular Classification
Modalities:
Tabular
Text
Formats:
csv
Languages:
English
Size:
10K - 100K
Tags:
digital-health
EHR
electronic-health-records
OpenMRS
Synthetic
sub-saharan-africa
Libraries:
Datasets
pandas
Polars
License:
Dataset card Data Studio Files
xet
 Community
Dataset Viewer
Auto-converted to Parquet Duplicate
id
int64
facility_level
string
location
string
ownership
string
power_reliable
int64
generator_backup
int64
solar_available
int64
internet_available
int64
computers_count
int64
ehr_available
int64
ehr_system
string
fully_electronic
int64
hybrid_paper_electronic
int64
paper_registers
int64
module_registration
int64
module_vitals
int64
module_prescriptions
int64
module_lab_orders
int64
module_billing
int64
module_reporting
int64
unique_patient_id
int64
data_completeness_pct
int64
data_accuracy_pct
int64
duplicate_records_pct
int64
staff_trained_ehr
int64
it_support_onsite
int64
user_satisfaction_score
int64
interoperability_other
int64
dhis2_integrated
int64
data_backup_regular
int64
data_encryption
int64
barrier_power
int64
barrier_internet
int64
barrier_cost
int64
barrier_training
int64
barrier_resistance
int64
year
int64
1
clinic
peri_urban
private
0
1
0
0
0
0
none
0
0
1
0
0
0
0
0
0
0
32
51
33
0
0
4
0
0
0
0
1
1
1
1
0
2,022
2
clinic
peri_urban
faith_based
0
0
0
0
0
1
openmrs
0
0
1
0
1
1
0
1
1
0
32
48
33
0
0
7
0
0
1
0
1
1
0
1
1
2,020
3
tertiary
remote
ngo
0
0
0
0
0
0
none
0
0
1
0
0
0
0
0
0
1
32
52
14
0
0
5
0
0
0
0
1
1
1
1
0
2,020
4
health_centre
remote
government
1
0
0
0
4
0
none
0
0
1
0
0
0
0
0
0
0
39
35
17
0
0
4
0
0
0
0
0
1
1
1
0
2,021
5
health_centre
peri_urban
government
1
0
0
0
5
0
none
0
0
1
0
0
0
0
0
0
0
39
50
13
0
0
2
0
0
0
0
0
1
0
1
0
2,022
6
health_centre
rural
government
0
1
0
0
0
0
none
0
0
1
0
0
0
0
0
0
0
27
32
20
0
0
5
0
0
0
0
1
1
1
1
0
2,019
7
health_centre
rural
faith_based
0
0
0
0
0
0
none
0
0
1
0
0
0
0
0
0
0
42
53
28
0
0
1
0
0
0
0
1
1
0
1
0
2,023
8
regional
remote
government
1
0
0
0
8
1
dhis2_tracker
0
0
1
1
0
0
0
0
0
0
61
45
39
0
0
3
0
0
1
1
0
1
0
1
0
2,020
9
district
remote
faith_based
0
1
1
0
0
0
none
0
0
1
0
0
0
0
0
0
0
14
39
20
0
0
3
0
0
0
0
1
1
1
1
1
2,023
10
district
peri_urban
government
0
0
0
0
0
1
openemr
0
1
1
1
1
0
0
0
0
0
36
44
37
0
0
1
0
0
0
0
1
1
1
1
0
2,021
11
health_centre
remote
government
0
0
0
0
0
0
none
0
0
1
0
0
0
0
0
0
1
39
44
41
0
0
5
0
0
0
0
1
1
1
1
1
2,019
12
regional
urban
government
0
0
0
0
0
0
none
0
0
1
0
0
0
0
0
0
0
34
44
26
0
0
4
0
0
0
0
1
1
0
1
1
2,023
13
regional
remote
government
0
0
0
0
0
0
none
0
0
1
0
0
0
0
0
0
0
40
39
25
0
0
1
0
0
0
0
1
1
1
1
1
2,022
14
health_centre
urban
government
1
0
0
0
4
0
none
0
0
1
0
0
0
0
0
0
0
71
45
34
0
0
2
0
1
0
0
0
1
0
1
0
2,020
15
health_centre
urban
private
1
0
0
1
6
0
none
0
0
1
0
0
0
0
0
0
0
49
54
32
0
0
4
0
0
0
0
0
0
0
1
0
2,020
16
regional
urban
ngo
0
0
0
0
0
0
none
0
0
1
0
0
0
0
0
0
0
49
30
26
0
0
5
0
0
0
0
1
1
0
1
0
2,023
17
clinic
rural
government
0
0
0
1
0
0
none
0
0
1
0
0
0
0
0
0
0
14
59
23
1
0
1
0
0
0
0
1
0
1
0
0
2,023
18
clinic
urban
faith_based
0
0
0
1
0
0
none
0
0
1
0
0
0
0
0
0
0
47
49
29
1
0
3
0
1
0
0
1
0
0
0
0
2,019
19
tertiary
urban
ngo
0
0
0
1
0
0
none
0
0
1
0
0
0
0
0
0
0
47
53
38
1
0
6
0
0
0
0
1
0
1
0
0
2,020
20
district
rural
faith_based
0
1
0
1
0
0
none
0
0
1
0
0
0
0
0
0
0
58
33
23
0
0
4
0
0
0
0
1
0
1
1
0
2,021
21
health_centre
rural
ngo
0
1
0
0
0
0
none
0
0
1
0
0
0
0
0
0
0
46
42
36
0
0
3
0
0
0
0
1
1
1
1
0
2,021
22
tertiary
peri_urban
government
1
0
0
0
9
0
none
0
0
1
0
0
0
0
0
0
0
53
39
26
0
0
2
0
1
0
0
0
1
1
1
0
2,019
23
district
peri_urban
government
1
0
0
1
3
0
none
0
0
1
0
0
0
0
0
0
0
5
33
46
0
0
4
0
0
0
0
0
0
0
1
1
2,020
24
health_centre
urban
government
0
0
0
0
0
0
none
0
0
1
0
0
0
0
0
0
0
66
35
39
0
0
7
0
1
0
0
1
1
0
1
1
2,020
25
district
rural
ngo
0
1
0
0
0
0
none
0
0
1
0
0
0
0
0
0
0
41
38
29
0
0
5
0
0
0
0
1
1
0
1
0
2,022
26
private
rural
private
0
0
0
1
0
0
none
0
0
1
0
0
0
0
0
0
0
45
31
34
0
1
2
0
0
0
0
1
0
0
1
1
2,021
27
health_centre
rural
faith_based
0
0
0
0
0
0
none
0
0
1
0
0
0
0
0
0
0
40
27
33
0
0
2
0
0
0
0
1
1
0
1
0
2,022
28
health_centre
peri_urban
government
1
0
0
0
5
0
none
0
0
1
0
0
0
0
0
0
0
53
49
31
0
0
1
0
0
0
0
0
1
0
1
0
2,022
29
clinic
urban
government
0
0
1
0
0
0
none
0
0
1
0
0
0
0
0
0
1
36
35
38
0
0
7
0
0
0
0
1
1
0
1
0
2,021
30
private
urban
government
1
0
0
0
8
0
none
0
0
1
0
0
0
0
0
0
0
42
60
18
0
1
2
0
0
0
0
0
1
1
1
0
2,023
31
health_centre
peri_urban
faith_based
1
0
0
0
4
0
none
0
0
1
0
0
0
0
0
0
0
50
69
30
0
0
5
0
0
0
0
0
1
0
1
0
2,023
32
clinic
urban
ngo
1
0
0
0
2
0
none
0
0
1
0
0
0
0
0
0
0
33
12
19
0
0
6
0
1
0
0
0
1
1
1
1
2,022
33
district
peri_urban
government
0
1
1
0
0
1
bahmni
0
1
1
1
0
0
1
0
1
0
31
58
29
0
0
3
0
1
1
1
1
1
0
1
1
2,020
34
tertiary
urban
ngo
1
0
0
0
3
0
none
0
0
1
0
0
0
0
0
0
0
31
40
25
0
0
7
0
0
0
0
0
1
1
1
0
2,022
35
district
peri_urban
government
1
1
0
0
0
0
none
0
0
1
0
0
0
0
0
0
0
70
61
38
0
0
4
0
0
0
0
0
1
1
1
0
2,023
36
tertiary
urban
faith_based
0
1
0
0
0
0
none
0
0
1
0
0
0
0
0
0
0
42
31
17
0
0
1
1
0
0
0
1
1
1
1
0
2,021
37
health_centre
rural
government
0
0
0
0
0
0
none
0
0
1
0
0
0
0
0
0
0
48
38
22
0
0
2
0
0
0
0
1
1
0
1
1
2,023
38
district
urban
private
0
0
0
0
0
0
none
0
0
1
0
0
0
0
0
0
0
43
55
6
0
0
1
0
0
0
0
1
1
0
1
1
2,020
39
health_centre
urban
faith_based
1
0
0
0
2
0
none
0
0
1
0
0
0
0
0
0
0
59
36
23
0
0
4
0
1
0
0
0
1
0
1
0
2,023
40
district
urban
private
0
0
0
1
0
0
none
0
0
1
0
0
0
0
0
0
0
44
43
19
0
0
1
0
0
0
0
1
0
1
1
0
2,023
41
private
remote
faith_based
0
1
0
0
0
0
none
0
0
1
0
0
0
0
0
0
1
19
30
23
0
0
3
0
0
0
0
1
1
0
1
0
2,021
42
health_centre
remote
private
1
0
0
1
1
0
none
0
0
1
0
0
0
0
0
0
0
33
45
31
0
0
6
0
0
0
0
0
0
0
1
1
2,020
43
district
remote
faith_based
0
0
0
0
0
0
none
0
0
1
0
0
0
0
0
0
0
46
40
31
0
0
4
0
1
0
0
1
1
1
1
1
2,020
44
private
peri_urban
ngo
0
0
0
1
0
0
none
0
0
1
0
0
0
0
0
0
0
5
19
31
0
0
2
0
0
0
0
1
0
0
1
0
2,023
45
district
remote
government
0
1
0
0
0
0
none
0
0
1
0
0
0
0
0
0
0
45
37
26
0
0
2
0
0
0
0
1
1
0
1
0
2,022
46
private
peri_urban
government
0
0
1
0
0
0
none
0
0
1
0
0
0
0
0
0
0
54
36
23
0
0
7
0
0
0
0
1
1
0
1
0
2,022
47
private
peri_urban
ngo
1
0
0
0
5
0
none
0
0
1
0
0
0
0
0
0
0
37
20
19
0
0
3
0
0
0
0
0
1
0
1
0
2,020
48
health_centre
rural
faith_based
0
0
0
0
0
0
none
0
0
1
0
0
0
0
0
0
0
37
46
23
0
0
2
0
0
0
0
1
1
1
1
0
2,022
49
health_centre
peri_urban
government
0
0
0
0
0
0
none
0
0
1
0
0
0
0
0
0
0
46
69
16
0
0
4
0
0
0
0
1
1
1
1
1
2,023
50
private
urban
government
1
0
0
0
5
1
dhis2_tracker
0
0
1
0
1
1
0
1
0
0
24
21
32
0
0
6
0
0
0
0
0
1
0
1
1
2,022
51
private
peri_urban
government
0
1
0
0
0
0
none
0
0
1
0
0
0
0
0
0
0
33
56
34
0
0
1
0
1
0
0
1
1
0
1
1
2,020
52
health_centre
urban
government
1
0
0
0
0
0
none
0
0
1
0
0
0
0
0
0
0
43
37
10
0
0
2
0
0
0
0
0
1
0
1
0
2,023
53
health_centre
remote
government
0
0
0
0
0
0
none
0
0
1
0
0
0
0
0
0
0
39
52
35
0
0
4
0
0
0
0
1
1
1
1
0
2,023
54
private
urban
government
0
0
0
0
0
0
none
0
0
1
0
0
0
0
0
0
0
72
35
24
0
0
3
0
0
0
0
1
1
0
1
0
2,021
55
district
rural
government
0
0
1
1
0
0
none
0
0
1
0
0
0
0
0
0
0
50
47
26
0
0
3
0
1
0
0
1
0
0
1
1
2,022
56
district
urban
government
0
1
0
0
0
0
none
0
0
1
0
0
0
0
0
0
0
31
67
29
0
0
3
0
1
0
0
1
1
1
1
1
2,022
57
regional
remote
private
0
0
0
1
0
0
none
0
0
1
0
0
0
0
0
0
0
36
47
32
0
0
1
0
0
0
0
1
0
1
1
0
2,022
58
regional
peri_urban
government
1
0
0
0
8
0
none
0
0
1
0
0
0
0
0
0
0
49
31
22
0
0
7
0
0
0
0
0
1
1
1
1
2,022
59
clinic
peri_urban
private
0
0
0
1
0
0
none
0
0
1
0
0
0
0
0
0
0
50
33
27
0
0
4
0
0
0
0
1
0
0
1
0
2,021
60
tertiary
remote
government
0
0
0
0
0
0
none
0
0
1
0
0
0
0
0
0
0
13
43
34
0
0
1
0
0
0
0
1
1
1
1
1
2,023
61
health_centre
rural
faith_based
0
0
0
0
0
0
none
0
0
1
0
0
0
0
0
0
0
34
45
32
0
1
4
0
0
0
0
1
1
1
1
0
2,021
62
health_centre
urban
government
0
0
0
1
0
0
none
0
0
1
0
0
0
0
0
0
0
58
43
30
0
0
5
0
0
0
0
1
0
1
1
0
2,019
63
health_centre
remote
faith_based
1
0
0
0
1
0
none
0
0
1
0
0
0
0
0
0
0
50
63
31
0
0
3
0
0
0
0
0
1
1
1
0
2,021
64
district
peri_urban
faith_based
1
0
0
0
4
0
none
0
0
1
0
0
0
0
0
0
0
47
43
39
0
0
3
0
0
0
0
0
1
1
1
1
2,019
65
clinic
peri_urban
faith_based
0
1
0
1
0
0
none
0
0
1
0
0
0
0
0
0
0
42
47
16
0
0
3
0
1
0
0
1
0
0
1
0
2,022
66
health_centre
urban
private
0
0
0
0
0
0
none
0
0
1
0
0
0
0
0
0
0
59
52
27
0
0
4
0
0
0
0
1
1
0
1
0
2,020
67
health_centre
urban
faith_based
1
1
0
0
4
0
none
0
0
1
0
0
0
0
0
0
0
50
23
39
0
0
8
0
0
0
0
0
1
1
1
1
2,023
68
health_centre
remote
government
0
0
0
0
0
0
none
0
0
1
0
0
0
0
0
0
0
34
30
31
0
0
1
0
1
0
0
1
1
0
1
1
2,020
69
health_centre
rural
faith_based
0
1
0
0
0
0
none
0
0
1
0
0
0
0
0
0
0
53
41
30
0
0
5
0
1
0
0
1
1
1
1
0
2,020
70
health_centre
rural
government
0
0
0
0
0
0
none
0
0
1
0
0
0
0
0
0
0
35
56
30
0
0
1
0
0
0
0
1
1
1
1
1
2,021
71
district
peri_urban
government
0
0
0
0
0
0
none
0
0
1
0
0
0
0
0
0
0
5
37
25
0
0
6
1
0
0
0
1
1
1
1
0
2,022
72
health_centre
remote
government
0
0
0
0
0
0
none
0
0
1
0
0
0
0
0
0
0
57
43
26
0
0
1
0
0
0
0
1
1
1
1
1
2,019
73
private
peri_urban
private
0
0
0
0
0
0
none
0
0
1
0
0
0
0
0
0
0
47
30
18
0
0
1
0
0
0
0
1
1
1
1
0
2,023
74
clinic
peri_urban
private
1
1
0
0
1
0
none
0
0
1
0
0
0
0
0
0
0
53
32
26
0
0
5
0
0
0
0
0
1
1
1
0
2,022
75
health_centre
remote
government
0
0
0
0
0
0
none
0
0
1
0
0
0
0
0
0
0
63
23
25
0
0
4
0
0
0
0
1
1
1
1
0
2,021
76
regional
remote
government
0
0
0
1
0
0
none
0
0
1
0
0
0
0
0
0
0
56
54
29
0
0
7
0
0
0
0
1
0
1
1
0
2,023
77
regional
remote
faith_based
0
0
0
0
0
0
none
0
0
1
0
0
0
0
0
0
0
8
48
15
0
0
6
0
0
0
0
1
1
0
1
1
2,022
78
health_centre
rural
government
0
0
0
0
0
0
none
0
0
1
0
0
0
0
0
0
0
43
62
37
0
0
4
0
0
0
0
1
1
1
1
0
2,023
79
district
remote
government
0
0
0
1
0
0
none
0
0
1
0
0
0
0
0
0
0
36
55
22
0
0
4
0
0
0
0
1
0
1
1
0
2,021
80
private
rural
faith_based
0
0
0
0
0
0
none
0
0
1
0
0
0
0
0
0
1
28
34
28
0
0
7
0
0
0
0
1
1
1
1
0
2,023
81
district
rural
government
0
0
0
0
0
0
none
0
0
1
0
0
0
0
0
0
0
60
23
22
0
0
4
0
0
0
0
1
1
0
1
0
2,023
82
health_centre
rural
private
0
0
0
0
0
0
none
0
0
1
0
0
0
0
0
0
0
39
58
31
0
0
2
0
0
0
0
1
1
1
1
1
2,022
83
private
peri_urban
ngo
1
0
0
0
6
0
none
0
0
1
0
0
0
0
0
0
0
26
50
20
0
0
3
0
0
0
0
0
1
1
1
0
2,022
84
private
rural
government
0
0
1
0
0
0
none
0
0
1
0
0
0
0
0
0
0
55
55
36
0
0
6
0
1
0
0
1
1
1
1
0
2,022
85
tertiary
rural
government
0
1
0
0
0
0
none
0
0
1
0
0
0
0
0
0
0
46
17
31
0
0
5
0
1
0
0
1
1
1
1
0
2,021
86
health_centre
remote
faith_based
0
0
0
0
0
0
none
0
0
1
0
0
0
0
0
0
0
31
48
34
0
0
3
0
0
0
0
1
1
1
1
0
2,022
87
health_centre
rural
government
0
0
0
1
0
0
none
0
0
1
0
0
0
0
0
0
0
25
16
27
0
1
5
0
0
0
0
1
0
1
1
1
2,019
88
health_centre
urban
private
1
0
0
0
1
0
none
0
0
1
0
0
0
0
0
0
0
47
37
32
0
0
5
0
0
0
0
0
1
0
1
0
2,022
89
district
rural
government
0
1
0
0
0
1
dhis2_tracker
0
0
1
1
0
0
1
0
0
0
41
33
15
0
0
3
0
1
0
1
1
1
0
1
0
2,019
90
clinic
remote
faith_based
0
0
1
0
0
0
none
0
0
1
0
0
0
0
0
0
0
35
52
24
0
0
6
0
0
0
0
1
1
0
1
0
2,023
91
health_centre
peri_urban
government
1
0
0
0
3
0
none
0
0
1
0
0
0
0
0
0
0
32
25
28
0
0
3
0
0
0
0
0
1
1
1
1
2,022
92
clinic
peri_urban
government
0
0
0
0
0
0
none
0
0
1
0
0
0
0
0
0
0
36
42
22
0
0
2
0
0
0
0
1
1
1
1
0
2,021
93
health_centre
peri_urban
government
0
0
0
1
0
1
openmrs
0
1
1
0
1
0
0
1
1
0
32
24
30
0
1
7
0
0
0
0
1
0
0
1
0
2,019
94
health_centre
rural
government
0
0
1
0
0
0
none
0
0
1
0
0
0
0
0
0
0
26
61
32
0
0
7
0
0
0
0
1
1
1
1
0
2,023
95
health_centre
remote
government
0
0
0
0
0
0
none
0
0
1
0
0
0
0
0
0
0
37
56
23
0
0
4
0
0
0
0
1
1
1
1
0
2,021
96
district
peri_urban
private
0
0
0
0
0
0
none
0
0
1
0
0
0
0
0
0
0
28
49
17
0
0
4
0
0
0
0
1
1
0
1
0
2,022
97
private
peri_urban
government
0
0
0
0
0
1
custom
0
1
1
1
1
1
1
1
1
0
45
14
20
0
0
3
0
0
0
0
1
1
0
1
0
2,023
98
clinic
remote
faith_based
0
0
0
0
0
0
none
0
0
1
0
0
0
0
0
0
0
68
43
13
0
0
3
0
0
0
0
1
1
0
1
1
2,021
99
health_centre
urban
government
1
0
0
0
3
0
none
0
0
1
0
0
0
0
0
0
0
32
41
27
0
0
2
0
0
0
0
0
1
1
1
0
2,023
100
private
remote
government
0
1
0
0
0
0
none
0
0
1
0
0
0
0
0
0
0
85
45
21
1
0
5
0
0
0
0
1
1
1
0
0
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.

Electronic Health Records Adoption

Abstract

Synthetic dataset modeling EHR adoption across three SSA scenarios. Captures EHR systems (OpenMRS/DHIS2/Bahmni), infrastructure, modules, data quality, staff training, interoperability, barriers, and user satisfaction. Parameterized from SSA EHR implementation research.

Parameterization Evidence

Parameter Value Source Year
EHR adoption SSA <10% facilities Were et al. JAMIA 2015
OpenMRS most deployed Open-source EHR Were et al. 2015
Power outages barrier 40-60% facilities Jawhari et al. Int J Med Inform 2016
Internet <30% facilities Connectivity gap Jawhari et al. 2016

Validation

Validation Report

Usage 

from datasets import load_dataset
ds = load_dataset("electricsheepafrica/electronic-health-records", name="ehr_emerging")
df = ds['train'].to_pandas()

References

  1. Were MC et al. (2015). EHR in SSA. JAMIA. DOI: 10.1093/jamia/ocu023
  2. Tilahun B & Fritz F (2015). EHR acceptance. BMC Med Inform. DOI: 10.1186/s12911-015-0186-x
  3. Jawhari B et al. (2016). EHR barriers. Int J Med Inform. DOI: 10.1016/j.ijmedinf.2016.09.001

License

CC-BY-4.0
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