Case 3

Finding Specific orgUnits / Location by Id

Measuring performance based on time taken to find the following outlets / location in DHIS2 and FHIR

Country	UID	orgUnit
El Salvador	Fz5NHHnah7C	Clínica Dra. Cintya Iraheta
El Salvador	onUMfZs0zeh	Hospital David King
El Salvador	kJ14ifcScdC	Unidad Médica San Miguel (NF047)
Kenya	LhNO7Q1tgck	Ithare Medical Clinic (10358)
Kenya	V0Wh2NxXpeP	Korakora Health Centre (13382)
Kenya	TIqvGd9EDw4	Nimoli Medical Services
Nigeria	rLBXeooeab7	Adina Pharamacy - House 3, Road 1, FHA Estate, Lugbe
Nigeria	FQ7cbWDi2Sq	Ajingi Primary Health Centre (fc-00-00-0069)
Nigeria	iEEsjVZWZXN	LOLA PMS (NG_DISC_PPMV_00019)
Cameroon	LaosQn5Ir4Q	Clinique La Sentinelle (LT335)
Cameroon	QLUHuYeU7aT	CSI Lougguere
Cameroon	IXageW1Ti5E	Nkouampoer (SU11009-17)

Summary of test results

	DHIS2	FHIR	DHIS2 vs FHIR %
Average	0.321959	0.288276	10.462

Test detailed results

logged on Nov 29/ 2022 UTC-7 09:14:00

Performance Testing for finding	PSI's DHIS2 API (s)	DHIS2 Average (s)	FHIR API (s)	FHIR Average (s)	Improvement (%)
Clínica Dra. Cintya Iraheta	0.354824, 0.30672, 0.285624	0.315723	0.314456, 0.300887, 0.290454	0.301932	4.36786
Hospital David King	0.281725, 0.302501, 0.274578	0.286268	0.29757, 0.292199, 0.293559	0.294443	-2.8556
Unidad Médica San Miguel (NF047)	0.29345, 0.303885, 0.293392	0.296909	0.301669, 0.289875, 0.283276	0.291607	1.78584
Ithare Medical Clinic (10358)	0.280965, 0.30126, 0.288404	0.29021	0.308609, 0.277115, 0.291449	0.292391	-0.75164
Korakora Health Centre (13382)	0.286319, 0.294106, 0.295094	0.29184	0.287755, 0.280583, 0.292913	0.287084	1.62966
Nimoli Medical Services	0.294825, 0.292497, 0.290636	0.292653	0.278407, 0.268665, 0.283962	0.277011	5.34467
Adina Pharamacy - House 3, Road 1, FHA Estate, Lugbe	0.282455, 0.286563, 0.285742	0.28492	0.27857, 0.288755, 0.288231	0.285185	-0.0931256
Ajingi Primary Health Centre (fc-00-00-0069)	0.462394, 0.451086, 0.465332	0.459604	0.279865, 0.288865, 0.28182	0.283517	38.3128
LOLA PMS (NG_DISC_PPMV_00019)	0.438221, 0.483114, 0.453608	0.458314	0.301126, 0.283007, 0.274498	0.28621	37.5515
Clinique La Sentinelle (LT335)	0.296026, 0.303652, 0.293412	0.297697	0.292834, 0.280616, 0.29468	0.289377	2.79479
CSI Lougguere	0.296919, 0.290365, 0.280495	0.28926	0.278481, 0.283242, 0.29083	0.284184	1.75459
Nkouampoer (SU11009-17)	0.304013, 0.297413, 0.298907	0.300111	0.294128, 0.287234, 0.277734	0.286365	4.58019
Overall Average		0.321959		0.288276	10.462

Testing Script

## Case #3
results = [{"description": "Performance Testing for finding", "dhis2": "PSI's DHIS2 API (s)", "dhisAvg": "DHIS2 Average (s)", "fhir": "FHIR API (s)", "fhirAvg": "FHIR Average (s)", "improvement": "Improvement (%)"}]
print("Case #3 - Measuring time taken to find a specific OrgUnit / Location")
outlets = [{"id": "Fz5NHHnah7C", "name": "Clínica Dra. Cintya Iraheta"},{"id": "onUMfZs0zeh", "name": "Hospital David King"},{"id": "kJ14ifcScdC", "name": "Unidad Médica  San Miguel (NF047)"},{"id": "LhNO7Q1tgck", "name": "Ithare Medical Clinic (10358)"},{"id": "V0Wh2NxXpeP", "name": "Korakora Health Centre (13382)"},{"id": "TIqvGd9EDw4", "name": "Nimoli Medical Services"},{"id": "rLBXeooeab7", "name": "Adina Pharamacy - House 3, Road 1, FHA Estate, Lugbe"},{"id": "FQ7cbWDi2Sq", "name": "Ajingi Primary Health Centre (fc-00-00-0069)"},{"id": "iEEsjVZWZXN", "name": "LOLA PMS (NG_DISC_PPMV_00019)"},{"id": "LaosQn5Ir4Q", "name": "Clinique La Sentinelle (LT335)"},{"id": "QLUHuYeU7aT", "name": "CSI Lougguere"},{"id": "IXageW1Ti5E", "name": "Nkouampoer (SU11009-17)"}]
dhis2_averages = []
fhir_averages = []
improvements = []
for outlet in outlets:
    improvement_overall = 0
    case_result = {}
    attempts = []
    fhir_attempts = []
    for i in range (1,4):
        case_result['description'] = "{}".format(outlet['name'])
        dhis2_url = dhis2_base_url+'uid={}'.format(outlet['id'])
        result = requests.get(dhis2_url, auth=dhis2_auth)
        if result.status_code == 200:
            dhis2_performances.append(result.elapsed.total_seconds())
            attempts.append(result.elapsed.total_seconds())
        
        request_url = fhir_location_url+'identifier={}'.format(outlet['id'])
        fhirResult = requests.get(request_url, auth=fhir_auth)
        if fhirResult.status_code == 200:
            fhir_attempts.append(fhirResult.elapsed.total_seconds())
    case_result['dhis2'] = ",  ".join([str(i) for i in attempts])
    dhis2_averages.append(Average(attempts))
    fhir_averages.append(Average(fhir_attempts))
    improvements.append(((dhis2_averages[-1] - fhir_averages[-1] )/ dhis2_averages[-1])*100)
    case_result['dhisAvg'] = dhis2_averages[-1]
    case_result['fhir'] = ', '.join([str(i) for i in fhir_attempts])
    case_result['fhirAvg'] = fhir_averages[-1]
    case_result['improvement'] = improvements[-1]
    results.append(case_result)
    time.sleep(0.01)
case_result = {}
case_result['description'] = "Overall Average"
case_result['dhisAvg'] = Average(dhis2_averages)
case_result['fhirAvg'] = Average(fhir_averages)
case_result['improvement'] = ((case_result['dhisAvg'] - case_result['fhirAvg'])/case_result['dhisAvg'])*100
results.append(case_result)
print(tabulate(results, headers='firstrow', tablefmt='pipe'))