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Healthcare Projections. How long until 600 beds?

In this project of an expansion wing for a NYC healthcare institution, We were asked to analyse over 10 years of patient records for different types of illnesses to determine their future need and take action with design. Therefore we were asked: How long until 400, 500 or 600 Beds?. Specifically, we used predictive analytics to establish the projected flux of thearment and patient from 2020 to 2040. As a result we proposed an integral design strategy from existing data, a new inpatient tower that also will take care of improving circulation with tunnels and bridges, and relocating diverse sub departments for their future needs.

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Covid-19 Design Research

With the COVID-19 Pandemic taking a disproportionate toll on minority communities, we must rethink how we design and research data. It is crucial that we start advocating for open channels of information, allowing us a deeper understanding of inequalities in the healthcare system, and giving us a clear course of action. In this Dashboard (with data from the Covid Tracking Project and data.gov) I show just how the Latino and Black populations in 4 New York counties continue to be unequally affected. Unfortunately the NY government has not provided a breakdown of cases, making it difficult to see the full impact on these communities. 

Workplace Covid-19 As a part of the Practice Area Leaders and re-entry strategy at PE we collaborated to create firmwide guidelines to deal with the eventual return to the office. To this end, I created a simulation script on grasshopper to evaluate the 6 feet separation guideline in stationary workstations, and we found out that higher risk of contagion will happen in the hours of the day that requires everyone to use the ciculations spaces such as entry and lunch break. Therefore, we recommend a differentiated entry hours for a 30 percent occupancy ratio in addition to mask and distance measures. This Simulation helped to understand how challenging is to implement the 6 feet in traditional work settings an the need to redesign our workspaces

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Institutional Cancer Data Benchmark

In this Benchmark Study, we were asked to benchmark differences between Cancer Patient Volume in the USA and China. After that, we query the information of an institution’s public data to understand how a regional network is prepared to address current and future needs of a community in terms of illness and health. As a result, we were able to develop a plan for an equivalent network in a Chinese Territory, addressing cultural differences and an increased volume.

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Play! Children’s Healthcare Hospital.

Play Goal!

Through multiple focus groups of families and patients dealing with the trauma of childhood illness, we learned that play is crucial in hospitals for a child’s therapy and recovery. Families shared their need for normalcy and the value of keeping hope alive. Most patients spend their time in waiting and recovery, moreover, Kids wonder and find refuge in-between spaces. and Our team responded to this with a design that addressed a child’s fascinating way of discovering the world through run and play. We were able to bring a seamless flow of the outside garden form into the halls and terraces, connecting nature with concrete, creating multiple play experiences for children and their families.

Generative Design For fabrication To support our idea, we needed to fine tune facade fabrication constraints in the halls and waiting areas. To quantify the amount of material, and reduce the amount of different panels to fabricate. Therefore, I developed a Galapagos Grasshopper script that evaluated the facade curvature and minimized panelization. Thanks to this algorithm, we showed that this design was almost the same cost as an alternative option with a square solution.