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Moving beyond silos: How do we provide distributed personalized medicine to pregnant women everywhere at scale? Insights from PRE‐EMPT
Author(s) -
von Dadelszen Peter,
Magee Laura A.,
Payne Beth A.,
Dunsmuir Dustin T.,
Drebit Sharla,
Dumont Guy A.,
Miller Suellen,
Norman Jane,
PyneMercier Lee,
Shennan Andrew H.,
Donnay France,
Bhutta Zulfiqar A.,
Ansermino J. Mark
Publication year - 2015
Publication title -
international journal of gynecology and obstetrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.895
H-Index - 97
eISSN - 1879-3479
pISSN - 0020-7292
DOI - 10.1016/j.ijgo.2015.02.008
Subject(s) - medicine , mhealth , psychological intervention , scale (ratio) , eclampsia , health care , pregnancy , personalized medicine , medical emergency , nursing , bioinformatics , physics , quantum mechanics , biology , genetics , economics , economic growth
While we believe that pre‐eclampsia matters—because it remains a leading cause of maternal and perinatal morbidity and mortality worldwide—we are convinced that the time has come to look beyond single clinical entities (e.g. pre‐eclampsia, postpartum hemorrhage, obstetric sepsis) and to look for an integrated approach that will provide evidence‐based personalized care to women wherever they encounter the health system. Accurate outcome prediction models are a powerful way to identify individuals at incrementally increased (and decreased) risks associated with a given condition. Integrating models with decision algorithms into mobile health (mHealth) applications could support community and first level facility healthcare providers to identify those women, fetuses, and newborns most at need of facility‐based care, and to initiate lifesaving interventions in their communities prior to transportation. In our opinion, this offers the greatest opportunity to provide distributed individualized care at scale, and soon.