Datasets:

electricsheepafrica
/

laboratory-information-systems

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	paper_register int64	dual_system 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	tests_per_month int64	test_menu_items int64	year int64
1	health_centre	peri_urban	private	0	1	0	0	none	0	0	none	1	0	0	0	0	0	0	61	41	58	53	1	0	1	0	1	0	0	0	0	797	10	2,023
2	district	rural	government	1	0	0	0	none	2	0	none	1	0	0	0	0	0	0	37	53	53	54	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	1	0	0	0	0	0	0	58	54	54	47	0	1	0	0	0	0	0	0	0	446	13	2,022
4	health_centre	remote	ngo	0	0	1	1	broadband	0	0	none	1	0	0	0	0	0	0	57	48	52	49	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	1	0	0	0	0	0	0	41	11	45	45	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	1	0	0	0	1	0	0	79	98	49	42	0	1	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	1	0	0	1	0	0	0	81	23	55	42	0	1	0	0	0	0	0	0	0	208	3	2,023
8	private	rural	faith_based	0	0	0	0	none	0	0	none	1	0	0	0	0	0	0	52	15	28	63	0	1	0	0	0	0	0	0	0	366	35	2,023
9	health_centre	urban	government	1	0	1	0	none	0	0	none	1	0	0	0	0	0	0	44	58	29	50	1	0	1	0	0	0	0	0	0	874	10	2,023
10	national_reference	rural	ngo	1	0	1	0	none	6	0	none	1	0	0	0	0	0	0	47	18	38	42	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	1	0	0	1	1	0	0	53	28	50	58	0	1	0	0	0	0	0	0	0	277	28	2,022
12	district	urban	government	0	1	0	1	none	0	0	none	1	0	0	0	0	0	0	42	45	45	47	1	0	1	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	56	74	50	56	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	1	0	0	0	0	0	0	67	52	20	52	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	1	0	0	0	0	0	0	64	18	43	61	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	1	0	0	0	0	0	0	56	50	48	38	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	1	1	0	0	0	0	0	48	67	46	43	1	0	0	1	0	0	0	0	0	326	33	2,023
18	health_centre	urban	government	1	0	0	0	none	3	0	none	1	0	0	0	0	0	0	45	62	49	48	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	1	0	0	0	0	0	0	43	34	47	54	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	1	0	0	0	0	0	0	45	58	23	47	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	1	0	0	0	0	0	0	74	20	34	60	1	0	1	0	0	0	0	0	0	1,048	9	2,020
22	private	urban	government	1	0	0	0	none	2	0	none	1	0	0	0	0	0	0	47	44	32	55	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	1	0	0	1	0	0	0	58	43	27	49	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	1	0	0	58	55	50	36	1	1	0	0	0	0	0	0	0	909	25	2,022
25	private	urban	government	0	1	0	0	none	0	0	none	1	0	0	0	0	0	0	88	31	21	47	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	1	0	0	0	0	0	0	33	51	48	43	0	1	0	0	0	0	0	0	0	228	11	2,020
27	district	remote	government	0	0	0	0	none	0	0	none	1	0	0	0	0	0	0	55	48	49	48	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	1	1	0	1	0	0	1	35	21	51	48	0	1	0	1	0	0	1	0	0	1,298	27	2,023
29	district	peri_urban	government	0	0	1	0	none	0	0	none	1	0	0	0	0	0	0	50	50	42	52	1	1	1	0	1	1	0	0	0	132	3	2,019
30	private	rural	government	0	0	0	0	none	0	0	none	1	0	0	0	0	0	0	36	57	52	53	1	0	1	0	0	0	0	0	1	801	25	2,022
31	health_centre	rural	government	0	0	1	0	none	0	0	none	1	0	0	0	0	0	0	49	38	66	57	1	0	1	0	0	0	0	0	0	165	3	2,020
32	health_centre	remote	government	0	0	0	0	none	0	0	none	1	0	0	0	0	0	0	69	61	43	40	0	0	0	0	1	0	0	0	0	384	8	2,022
33	regional	remote	government	1	0	0	0	none	6	0	none	1	0	0	0	0	0	0	44	24	34	47	1	0	1	0	1	0	0	0	0	832	32	2,022
34	health_centre	peri_urban	ngo	0	0	1	0	none	0	0	none	1	0	0	0	0	0	0	20	53	33	38	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	33	16	31	52	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	1	0	0	0	0	0	0	46	14	45	41	1	0	1	0	0	0	0	0	0	2,366	34	2,020
37	district	urban	faith_based	0	0	0	0	none	0	0	none	1	0	0	0	0	0	0	50	48	58	63	1	0	1	0	0	0	0	0	1	355	19	2,022
38	health_centre	peri_urban	government	1	0	0	0	none	2	0	none	1	0	0	1	0	0	0	42	84	44	53	1	0	1	0	0	0	0	0	1	244	6	2,021
39	regional	urban	ngo	0	0	0	0	none	0	0	none	1	0	0	0	0	0	0	56	9	47	55	0	1	0	0	0	0	0	0	0	588	26	2,021
40	private	peri_urban	private	0	0	0	0	none	0	0	none	1	0	0	0	0	0	0	43	52	45	52	0	0	0	0	0	0	0	1	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	49	60	59	51	0	1	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	51	88	28	61	0	1	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	1	0	0	0	0	0	0	92	28	62	51	1	0	1	0	0	0	0	0	0	218	35	2,021
44	health_centre	rural	private	0	0	0	0	none	0	0	none	1	0	0	0	0	0	0	66	52	52	54	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	1	1	0	0	0	0	0	39	67	43	60	0	0	0	0	0	0	1	0	0	758	35	2,019
46	district	urban	private	0	0	1	0	none	0	0	none	1	0	0	0	0	0	0	13	11	30	47	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	1	0	0	0	0	0	0	37	52	44	38	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	1	0	0	0	1	0	0	84	45	55	46	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	1	0	0	0	0	0	0	51	46	35	50	0	1	0	0	0	0	0	0	0	196	20	2,022
50	private	remote	government	0	0	0	0	none	0	0	none	1	0	0	0	0	0	0	49	74	39	57	0	1	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	1	0	0	0	0	0	0	19	55	45	52	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	1	0	0	0	0	0	0	44	16	54	44	0	1	0	0	0	0	0	1	0	1,943	23	2,022
53	district	rural	government	0	0	1	1	mobile_data	0	0	none	1	0	0	0	0	0	0	56	77	50	55	0	0	0	0	0	0	0	0	1	131	30	2,019
54	health_centre	peri_urban	faith_based	1	0	0	0	none	0	1	spreadsheet	1	1	0	0	1	0	0	44	47	31	60	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	1	1	1	0	0	0	0	47	51	28	59	1	1	0	1	0	0	1	0	0	1,130	26	2,022
56	private	remote	government	1	0	1	0	none	5	0	none	1	0	0	0	0	0	0	59	54	41	42	1	0	1	0	0	0	0	0	0	276	38	2,021
57	regional	rural	government	0	1	0	0	none	0	0	none	1	0	0	1	0	0	0	48	32	62	49	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	1	0	0	0	0	0	0	81	10	40	63	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	1	0	0	0	0	0	0	41	27	60	52	0	1	0	0	0	0	0	0	0	316	16	2,021
60	district	urban	private	0	0	0	0	none	0	0	none	1	0	0	0	0	0	0	43	61	59	48	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	58	47	26	44	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	1	0	0	0	0	0	0	55	39	27	39	1	0	1	0	0	0	0	1	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	49	62	60	38	1	0	1	0	0	0	0	0	0	377	9	2,020
64	regional	remote	government	0	0	0	1	broadband	0	0	none	1	0	0	0	0	0	0	66	5	64	53	0	1	0	0	0	0	0	0	0	1,785	15	2,021
65	private	rural	private	0	0	0	1	broadband	0	0	none	1	0	0	0	0	0	0	39	29	60	54	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	25	59	49	44	1	1	1	0	0	0	0	0	0	500	7	2,019
67	district	remote	government	0	0	0	0	none	0	0	none	1	0	0	0	0	0	0	85	5	47	40	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	1	0	0	0	1	0	0	78	62	46	42	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	1	0	0	0	0	0	0	40	26	38	58	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	1	0	0	0	0	0	0	54	13	47	41	0	1	0	0	0	0	0	0	0	791	20	2,021
71	district	urban	government	1	0	0	0	none	1	0	none	1	0	0	0	0	0	0	49	48	41	46	0	1	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	36	53	55	62	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	1	0	0	0	0	0	0	44	53	37	51	0	1	0	0	1	0	0	1	0	98	17	2,021
74	regional	remote	faith_based	1	0	1	0	none	3	0	none	1	0	0	0	0	0	0	60	76	62	36	1	1	1	0	0	0	0	1	0	320	31	2,023
75	health_centre	urban	government	0	0	1	1	mobile_data	0	0	none	1	0	0	0	0	0	0	66	52	43	54	0	1	0	0	0	0	0	0	0	451	16	2,023
76	health_centre	rural	government	0	0	0	1	none	0	0	none	1	0	0	0	0	0	0	41	19	55	55	1	0	1	0	0	0	0	0	0	292	3	2,020
77	health_centre	remote	government	0	0	1	1	none	0	0	none	1	0	0	0	0	0	0	53	5	37	51	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	1	1	0	0	0	0	0	46	24	41	51	0	0	0	1	0	0	0	1	0	410	14	2,022
79	private	remote	government	0	0	1	0	none	0	0	none	1	0	0	0	0	0	0	59	14	66	55	1	1	1	0	0	0	0	0	0	1,194	33	2,022
80	private	peri_urban	government	0	0	0	0	none	0	0	none	1	0	0	0	0	0	0	59	32	46	55	0	1	0	0	0	0	0	0	0	3,474	23	2,021
81	private	rural	government	0	0	1	0	none	0	0	none	1	0	0	0	0	0	0	58	30	23	45	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	1	1	1	0	0	0	0	48	30	37	53	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	1	1	0	0	0	0	0	61	51	45	43	0	0	0	1	0	0	1	0	0	4,867	26	2,023
84	health_centre	urban	government	1	0	0	0	none	2	0	none	1	0	0	1	0	0	0	64	32	46	49	0	1	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	57	50	52	47	0	0	0	1	0	0	0	0	0	3,747	34	2,020
86	regional	peri_urban	government	1	0	1	0	none	6	0	none	1	0	0	0	0	0	0	59	31	54	57	0	1	0	0	0	0	0	0	0	446	18	2,022
87	health_centre	remote	private	0	1	0	0	none	0	0	none	1	0	0	0	0	0	0	30	71	33	41	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	1	0	0	52	36	50	56	1	0	1	0	0	0	0	0	1	1,242	37	2,020
89	private	urban	government	0	0	0	0	none	0	0	none	1	0	0	0	0	0	0	60	85	56	37	1	1	1	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	45	48	71	47	0	1	0	0	0	0	0	0	0	127	41	2,020
91	health_centre	remote	government	1	0	1	1	none	1	0	none	1	0	0	0	0	0	0	19	36	54	42	0	1	0	0	0	0	0	0	0	291	13	2,023
92	district	rural	government	0	0	0	0	none	0	0	none	1	0	0	0	0	0	0	66	32	34	56	1	1	1	0	0	0	0	0	0	449	6	2,022
93	health_centre	remote	private	0	0	0	0	none	0	0	none	1	0	0	0	0	0	0	20	54	25	52	0	0	0	0	1	0	0	0	0	657	14	2,023
94	health_centre	rural	ngo	1	0	0	0	none	2	0	none	1	0	0	0	0	0	0	70	25	37	54	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	1	0	0	48	41	51	42	1	0	1	0	0	0	0	1	0	577	7	2,019
96	private	remote	government	0	0	0	1	broadband	0	0	none	1	0	0	0	0	0	0	39	24	39	60	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	1	1	0	0	0	1	0	38	61	71	49	0	1	0	0	1	1	1	1	0	1,013	14	2,022
98	district	urban	government	0	0	1	0	none	0	0	none	1	0	0	0	0	0	0	46	75	42	35	1	1	1	0	1	0	0	0	0	462	13	2,023
99	health_centre	urban	government	0	1	0	0	none	0	0	none	1	0	0	0	0	0	0	49	30	41	66	1	0	1	0	0	0	0	0	0	409	8	2,021
100	district	remote	private	0	0	0	0	none	0	0	none	1	0	0	0	0	0	0	22	49	72	55	0	0	0	0	0	0	0	0	0	826	22	2,020

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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

Usage

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

References

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

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