Integra HealthCare Facility Designs

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Integra1000

Interior designs for an Integra HealthCare Center

Integra HealthCare Centers – Exterior View Lobby

Integra HealthCare Centers – Exterior View Foyer

Integra HealthCare Centers – Exterior View Plaza

Integra HealthCare Centers – Patient Reception

Integra HealthCare Centers – Looking Towards Office

Integra HealthCare Centers – Looking Towards Waiting

Integra HealthCare Centers – Patient Lobby Fireplace

Integra HealthCare Centers – Patient Lobby from Hall

Integra HealthCare Centers – View from Physical Therapy

Integra HealthCare Centers – Main Entrance

Integra HealthCare Centers – Café & Patient Reception

Integra HealthCare Centers – Looking out Front Door

Integra HealthCare Centers – Looking out Main Door

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Inferring community structure in healthcare forums. An empirical study by Chomutare T, Arsand E, Fernandez-Luque L, Lauritzen J, Hartvigsen G. Methods Inf Med. 2013;52(2):160-7. https://www.ncbi.nlm.nih.gov/pubmed/23392282 Abstract BACKGROUND: Detecting community structures in complex networks is a problem interesting to several domains. In healthcare, discovering communities may enhance the quality of web offerings for people with chronic diseases. Understanding the social dynamics and community attachments is key to predicting and influencing interaction and information flow to the right patients. OBJECTIVES: The goal of the study is to empirically assess the extent to which we can infer meaningful community structures from implicit networks of peer interaction in online healthcare forums. METHODS: We used datasets from five online diabetes forums to design networks based on peer-interactions. A quality function based on user interaction similarity was used to assess the quality of the discovered communities to complement existing homophily measures. RESULTS: Results show that we can infer meaningful communities by observing forum interactions. Closely similar users tended to co-appear in the top communities, suggesting the discovered communities are intuitive. The number of years since diagnosis was a significant factor for cohesiveness in some diabetes communities. CONCLUSION: Network analysis is a tool that can be useful in studying implicit networks that form in healthcare forums. Current analysis informs further work on predicting and influencing interaction, information flow and user interests that could be useful for personalizing medical social media.

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