01 The file
Four kinds of care, one file
A survivor's file already holds all four pillars, on paper. It is captured as it is no change of practice is asked of the clinical staff.
Our work at Panzi
Muganga is digitising Panzi Hospital's holistic model of care. By connecting medical, psychosocial, legal and socioeconomic data into one secure infrastructure, we are not just modernising records we are laying the foundation for predictive healthcare in a crisis zone.
The institution
Panzi General Referral Hospital was established in Bukavu in 1999 by Dr Denis Mukwege. Built initially for maternal health, it soon became a centre for the care of survivors of sexual violence. In 2018 Dr Mukwege received the Nobel Peace Prize “for their efforts to end the use of sexual violence as a weapon of war and armed conflict”.
The Nobel PrizeMuganga is not Panzi. We are the technical partner digitising its archive and building the tools that read from it. The data belongs to the hospital.
What the institution represents
91,000+
survivors of sexual violence cared for
199927 years of continuous records2026
The One-Stop Centre model
A survivor who walks through Panzi's door is not sent from service to service. The model, described in PLOS Medicine, is structured in four pillars delivered in one place and that is exactly what makes its data so rare.
Reconstructive surgery, treatment of infection, obstetric care and clinical follow-up over time.
Psychological support, group therapy and community reintegration from admission, not as an afterthought.
Legal assistance and accompaniment through proceedings, for those who choose to bring a case.
Training, literacy and economic support because leaving healed with no means of living is not leaving healed.
The four pillars are quoted as published in the reference study.PLOS Medicine
The architecture
Every stream passes through the de-identification layer. There is no route from a pillar to a model that skips it not in this diagram, and not in the system.
The procedure
Research & AI potential
None of these models is in service today. They describe what structured data allows, and the direction we are building in with the hospital, under written agreement.
We don't wait for trauma to compound. By analysing clinical and psychological history, our models identify patients at the highest risk of severe PTSD, letting care teams deploy targeted cognitive therapy early.
Anticipating complications before they happen. Machine learning evaluates maternal health data to flag high-risk pregnancies instantly and predict potential complications in complex surgical repairs.
Mapping the crisis to deploy resources. By safely and securely mapping the origin points of gender-based violence, emerging conflict hotspots can be identified and mobile clinics sent where they are needed most.
We are building a secure dataset on the long-term impact of integrated interventions. That data can demonstrate, with figures, that treating the whole person lowers healthcare costs over time and succeeds at reintegrating survivors.
Status: research. None of these models informs a clinical decision today, and none will without validation and the hospital's agreement.
The product underneath
None of the above exists without a layer that talks to the systems already in place. Muganga HMS is our flagship: it plugs directly into Panzi's management systems and becomes the single source everything else reads from.
HMS installs alongside what exists and connects to it. Staff do not switch tools overnight, and the hospital loses nothing during the transition.
Admission, consultation, theatre, pharmacy, laboratory and psychosocial follow-up write into the same patient record instead of six registers that do not speak to each other.
Power cuts, thin connections, stretched teams: HMS works offline and syncs when the network returns.
Riposte, the research models and the management dashboards all read from HMS. One truth, not four exports.
Sources
Figures about Panzi Hospital come from the hospital itself, from peer-reviewed literature and from the Nobel committee. We do not produce them and we do not estimate them.