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The OpenHIE community of practice for= med in early 2013, evolving from the work that initially began in 2009 to e= stablish the Rwandan Health Information Exchange (RHIE). As the benef= its of the approach adopted in Rwanda became apparent, interest gathered fr= om other countries looking to apply similar architectural tactics within th= eir environments. Today, OpenHIE=E2=80=99s approaches, reference technologi= es, and community processes are being leveraged or explored in multiple cou= ntries.
As health systems have evolved, care = delivery has increasingly been distributed amongst a broad assortment of he= althcare personnel - primary care physicians, specialists, nurses, technici= ans, public health practitioners, community health workers, and correspondi= ng health system management personnel. Each member of the team has specific= , limited interactions with an individual patient and differing vantage poi= nts into their health. In effect, the health care team's view of the patien= t has become fragmented into disconnected facts and clusters of information= .
Health information systems, like heal= thcare personnel, also typically operate independent from one another. The = result is disaggregated information stored in different locations and forma= ts, making it impossible for data to be harmonized, and for healthcare pers= onnel to share knowledge, collaborate in care, and truly understand the ful= l breadth of an individual=E2=80=99s health history. Those who manage and o= versee the health system have little ability to make inferences from these = data for monitoring and evaluation purposes. Many other healthcare personne= l are forced to make life-altering decisions for their population without k= ey health information.
As the problem of incongruent health = information architecture unfolded, global health practitioners that focused= upon health systems strengthening activities increasingly recognized the i= mportance of harmonizing health information systems. They understood the importance of an upfront architectu= re for implementation of health information systems. This approach would en= courage a way for these systems to better communicate with one another.
In response to these growing country-= driven demands, multiple philanthropic organizations attempted to create a = coordinated response. These organizations connected thought leaders and exp= erts with real-world experience in health information technologies implemen= tation, creating partnerships focused on health information architecture an= d interconnectivity. In 2010, this work culminated in the formation of the = Health Informatics Public Private Partnership (HIPPP).
HIPPP responded to direct country req= uests for health information architecture technical support. Initial reques= ts came from the Ministries of Health in Rwanda and Cambodia. In particular= , throughout 2011, HIPPP invested a significant amount of resources to oper= ationalize health information architecture in Rwanda. This project ultimate= ly became known as the Rwanda Health Information Exchange (RHIE).
Rwanda believed a better information = architecture could support their strategic plan to achieve the Millenium De= velopment Goal of improving maternal health outcomes (<= span style=3D"color: rgb(17,85,204);text-decoration: underline;">MDG 5). The Ministry of Health sought t= o better coordinate care and reduce key indicators by bringing together inf= ormation from multiple care stakeholder groups, including the community hea= lth workers, hospitalists, and health clinic clinicians who were all provid= ing care to maternal health patients. They coordinated their work through i= nformation architecture, with the establishment of the RHIE.
The work in Rwanda exemplified the po= ssibilities of health information architecture. RHIE served as an important= reference example, as it helped the larger global health community underst= and how to practically instantiate interoperability at scale, and helped hi= ghlight the many technical, sociopolitical, and capacity development challe= nges that accompany this type of initiative.
Once the RHIE went live in 2012, the = fledgling community was compelled by other environments to establish a more= generalized approach. Several countries expressed a need for support aroun= d health information architecture. The OpenHIE community grew out of this need, and assembled to bring toget= her peer-supported processes, broad reaching experience, and a series of re= usable technologies to give countries a framework in which they can start t= o address their own health information architecture. In 2013, the OpenHIE = =E2=80=9Ccommunity of communities=E2=80=9D was formally established.=
OpenHIE operates according to princip= les of openness, transparency and sharing of ideas, software and strategies= for deployment and use. Our approach is founded on the principle that thos= e who use the health information must aid in the development of their infor= mation systems.
We believe it=E2=80=99s important to = design highly adaptable processes and technologies to respond to rapidly ch= anging health information needs in complex healthcare environments. W= e collaborate closely with resident health experts and open-source healthca= re developers to sustainably build technologies, infrastructure, and human = resources to meet local health information needs.
We appreciate that different constitu= encies come at work in different ways. OpenHIE and our local partners= benefit from this wide range of valuable talent and experience. Our commun= ity processes encourage constituents to contribute to the process in ways t= hat make sense to them. Working transparently within our community and with= local partners allows different organizations to contribute.
Mission:
Our mission is to improve the health of the underserved through the open= , collaborative development and support of country driven, large scale heal= th information sharing architectures.
Vision:
We envision a world where all countries are empowered to pragmatically i= mplement sustainable health information sharing architectures that measurab= ly improve health outcomes.
Values: