Analysis of the Existence of Patient Care Team Using Social Network Methods in Physician Communities from Healthcare Insurance Companies.

Care teams are formed by physicians of different specialties who take care of the same patient. Hence, if we find physicians that share patients with each other probably they configure an informal care team. Thus, the objective of this work is to explore the possibility of finding care teams using Social Network Analysis techniques in physician-physician networks where the physicians have patients in common. For this, we used healthcare insurance claims to build the network. There was the agreement on the metrics of degree and eigenvalue and of betweenness and closeness, also physicians with the 5 highest eigenvalues are highly interconnected. We discuss that the analysis of the physician-physician network with metrics of centrality is promising to reveal informal care teams. The high potential in calculating these metrics is verified from the results to evaluate member's performance and with that how to take actions to improve the work of the team.

Análise do relacionamento na comunidade de médicos de seguradoras de saúde / Relationship analysis in the physician community from healthcare insurance companies / Análisis del relacionamiento en la comunidad médica de las compañías de seguro médico

O objetivo é analisar os relacionamentos entre médicos que possuem pacientes em comum a partir de sinistros de seguradora de saúde. Utilizou-se a técnica de analítica de grafos para modelar os relacionamentos e foram calculadas métricas de centralidades para encontrar a importância relativa dos médicos. Houve a concordância das métricas de grau e auto valor e de betweenness e closeness (10% a 15% no top 100 médicos). Além disso, os 5 médicos com maior valor na métrica de auto valor estão altamente conectados entre si. Conclui-se que as métricas captaram o relacionamento entre os médicos desta comunidade que coincidem com a literatura indicando que é possível encontrar médicos que colaboram entre si no cuidado do paciente dentro e fora do hospital. Além disso, os médicos de maior auto valor indicam que são referência para outros médicos e médicos que estão conectados com muitos outros sugerem que estes influenciam nas decisões de seus pacientes.

The aim of this work is to analyze the relationship between physicians from a health insurance company,who attend the same patient. We use graph analytics to model the physician's relationship. Centrality metrics were calculated to find the relative importance of the physicians. There was the agreement on the metrics of degree and eingenvalue and of betweenness and closeness (10% to 15% in the top 100 physicians). In addition, physicians with5 highest eigenvalue in the metric are highly interconnected. We conclude that the metrics captured the relations hipbetween the physicians in this community that coincide with the literature, indicating that we can find physicians who collaborate on patient care within and outside the hospital. In addition, physicians with largest eigenvalue indicate thatthey are reference to other physicians, and physicians who are connected to many others, suggest, that they influence their patients' decisions.

Market impact and trading profile of hidden orders in stock markets.

We empirically study the market impact of trading orders. We are specifically interested in large trading orders that are executed incrementally, which we call hidden orders. These are statistically reconstructed based on information about market member codes using data from the Spanish Stock Market and the London Stock Exchange. We find that market impact is strongly concave, approximately increasing as the square root of order size. Furthermore, as a given order is executed, the impact grows in time according to a power law; after the order is finished, it reverts to a level of about 0.5-0.7 of its value at its peak. We observe that hidden orders are executed at a rate that more or less matches trading in the overall market, except for small deviations at the beginning and end of the order.