Crossing the Line to Electronic Medical Records in Subsaharian Africa: An Obstetric and Neonatal Information System with Perinatal Indicators Dashboard
Objectives: This study reports our experience in the use of a perinatal electronic medical record, E_Perinatal, by giving examples of its potential for the analysis of clinical data and the involvement of the indicators produced in the improvement of Emergency Obstetric and Neonatal Care in Africa.
Methodology: This is a study that was conducted in the scenario of a Level II Health Centre in Senegal. The methodology of the study followed the following steps: an inventory of the use of electronic tools in labour wards in Senegal, an exploratory survey of the scenario of obstetric and neonatal care, simultaneous elaboration of an electronic medical record in obstetrics and neonatology and selection of obstetric and neonatal care indicators to automatically generated and implement the information system. The recording was retrospective and continuous from January 2015 to December 2016.
Results: This database automates the storage of obstetric data, including antenatal care, obstetric ultrasound, hospital admissions, prescribing, etc., providing easy access to patient data from anywhere in the hospital, produce timely reports and graphs to refer to clinician correspondents, store and electronically transfer birth data to authorities, and store data for ad hoc queries and search statistics.
Conclusion: E_Perinatal has demonstrated in a scenario of an intermediate health facility its usefulness and ease of use. Scaling up in a developing country will help to better understand the real problems and help to reduce maternal and neonatal mortality.
Bagayoko CO. Mise en place d’un Système d’Information Hospitalier en Afrique Francophone: Cinz@n, étude et validation du modèle au Mali. [Thèse Santé publique et Recherche Clinique]. Aix-Marseille II : Université de la Méditerranée; 2010.
Organisation Mondiale de la Santé. Surveillance des soins obstétricaux d’urgence. Manuel d’utilisation; 2011. p. 173.
Organisation Mondiale De La Sante. Déclaration de l’OMS sur les taux de césariennes; 2015. Disponible à http://apps.who.int/iris/bitstream/
Benjamin I, Noumoff JS, Carlson Jr JA, Giuntoli RL, Morgan M, Mikuta JJ. Database management for a gynecologic oncology service. Gynecol Oncol. 1990; 38(3):431–6. https://doi.org/10.1016/0090-8258(90)90086-Z
Raab G, van Den Bergh M. Development and integration of the Oncological Documentation System ODS. Zentralbl Gynakol. 2001; 123(8):444–9. PMid:11562807. https://doi.org/10.1055/s-2001-17241
Salenius SA, Margolese-Malin L, Tepper JE, Rosenman J, Varia M, Hodge L. An electronic medical record system with direct data-entry and research capabilities. Int J Radiat Oncol Biol Phys. 1992; 24(2):369–76. https://doi.org/10.1016/0360-3016(92)90693-C
Jacob R, Welkoborsky HJ. Presentation of an oncological database adapted for head and neck cancer. Laryngorhinootologie. 2002; 81(12):875–81. PMid:12486625. https:// doi.org/10.1055/s-2002-36104
Poorten VV, Hart A, Vauterin T, Jeunen G, Schoenaers J, Hamoir M, et al. Prognostic index for patients with parotid carcinoma: international external validation in a Belgian-German database. Cancer. 2009; 115(3):540–50. PMid:19137571. https://doi.org/10.1002/cncr.24015
Mira E, Lanza L, Castelli A, Benazzo M, Tinelli C. A computerized database for managing otorhinolaryngologic oncology patients. Acta Otorhinolaryngol Ital. 1998; 18(3):155–63. PMid:9926449.
Landis SH, Murray T, Bolden S, Wingo PA. Cancer statistics. CA Cancer J clin. 1999; 49(1):8–31. PMid:10200775. https://doi.org/10.3322/canjclin.49.1.8
Wagenblast J, Adunka O, Gstottner W, Arnoldner C, Riedl N, Diensthuber M, et al. adonco database – six years’ experience with the documentation of clinical and scientific data on patients with head and neck cancer. In Vivo. 2010; 24:603–6. PMid:20668332.
- There are currently no refbacks.