safe+natal was rigorously tested during a 2 year clinical trial.
  • Midwives successfully completed training to use safe+natal at high rates: 80% passed proficiency tests on the first try, 98% after the second try.
  • Detection of key pregnancy complications, particularly hypertensive disorders, increased.
  • Successful referral rates to medical facilities for life-threatening conditions significantly increased.

“It was beautiful to hear my baby’s heartbeat.”

Expectant Guatemalan mother


El Periodico [Guatemalan national newspaper]. “Wuku’ Kawoq, tecnología para evitar muertes maternas” [Wuku’ Kawoq, technology to prevent maternal deaths]. January 12, 2020.

El Periodico [Guatemalan national newspaper]. “Se reduce brecha de mortalidad materna en Chimaltenango, Referencias para asistencia hospitalaria aumentan gracias al uso de tecnología” [Maternal mortality gap in Chimaltenango reduced, Referrals for hospital assistance increase thanks to the use of technology]. May 20, 2019.

Prensa Libre [Guatemalan national newspaper].  “App Salva Vidas:  La technología llega en auxilia de las comadronas” [App Saves Lives:  The technology arrives to assist midwives].  Aug 26, 2018. pgs. 1, 14-17.  Accompanied by online video, “Una app para control materno en Tecpán, Chimaltenango” [An app for maternal control in Tecpán, Chimaltenango].

MSNBC Global Citizen.  “App Saves Lives of Maya Women in Guatemala.”  Sept 5.  2017

Scientific Papers

2020 N Katebi, R Sameni, and GD Clifford. Deep Sequence Learning for Accurate Gestational Age Estimation from a $25 Doppler Device. ML4H 2020, NeurIPS.

2020      CEV Cuadros, F Marzbanrad, M Juarez, R Hall-Clifford, P Rohloff, and GD Clifford. Estimating birth weight from observed postnatal weights in a Guatemalan highland community. Physiological Measurement. 

2020      M Juarez, Y Juarez, E Coyote, T Nguyen, C Shaw, R Hall-Clifford, G Clifford, and P Rohloff. Working with lay midwives to improve the detection of neonatal complications in rural Guatemala. BMJ Open Quality, 9(1).

2019      C Valderrama Cuadros, L Stroux, N Katebi, E Paljug, R Hall-Clifford, P Rohloff, F Marzbanrad, G Clifford. “An open source autocorrelation-based method for fetal heart rate estimation from one-dimensional Doppler ultrasound.” Physiological Measurement, 40(2):025005. 

2018      B Martinez, E Coyote, R Hall-Clifford, M Juarez, AC Miller, A Francis CE Valderrama, L Stroux, GD Clifford, P Rohloff. mHealth intervention to improve the continuum of maternal and perinatal care in rural Guatemala: a pragmatic, randomized controlled feasibility trial. Reproductive Health, 15(1): 120, 12 pages.

2018      CE Valderrama, F Marzbanrad, L Stroux, B Martinez, R Hall-Clifford, C Liu, N Katebi, P Rohloff, and GD Clifford. Improving the Quality of Point of Care Diagnostics with Real-Time Machine Learning in Low Literacy LMIC Settings: Full Paper. Proceedings of ACM SIGCAS Computing and Sustainable Societies (ACMSIGCAS-COMPASS2018). Article 4, 11 pages.

2017      Martinez B, Hall-Clifford R, Coyote E, Stroux L, Valderrama CE, Aaron C, Francis A, Hendren C, Rohloff P, Clifford GD. Agile development of a smartphone app for perinatal monitoring in a resource-constrained setting. Journal of Health Informatics in Developing Countries, 11(1), 19 pages.

2016     L Stroux, B Martinez, E Coyote Ixen, N King, R Hall-Clifford, P Rohloff & GD Clifford. An mHealth monitoring system for traditional birth attendant-led antenatal risk assessment in rural Guatemala. Journal of Medical Engineering & Technology 40(7-8), 356–371.  

2014      L Stroux, NE King, S Fathima, R Hall-Clifford, P Rohloff, and GD Clifford.  A low-cost perinatal monitoring system for use in rural Guatemala.  Appropriate Healthcare Technologies for Low Resource Settings – AHT2014. IET Proceedings: The 8th International Conference – Promoting access to healthcare through technology, 4 pages.  DOI: 10.1049/cp.2014.0777.