Adaptive Behaviors in Complex Clinical Environments

  • Mithra Vankipuram
  • Vafa Ghaemmaghami
  • Vimla L. Patel
Part of the Health Informatics book series (HI)


In an ideal scenario, hospital systems would deliver care in a timely manner to a large number of patients with a variety of diseases. There would be no hospital-acquired infections, staff-related oversights or prescription errors that result in complications. As patients, we would want to be treated in such an institution. Insurance companies, a principal (financial) driving force in the healthcare industry, would prefer that their customers visit hospitals where reduced complications result in shorter hospital stays and lower overall costs due to better outcomes. From the clinicians’ point of view, working in a safe and efficient system increases their reputation and work morale. Such an institution would attract a large volume of patients. This will result in greater reimbursement, which would make a strong case for improving quality of care from a business perspective as well. Although not all the features described may be practicably achievable, quality of care is a fundamental concept that is critical to building a safe, cost-effective and sustainable healthcare system.


Trauma Care Complex Adaptive System Trauma Case Trauma Team Advance Trauma Life Support 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag London 2014

Authors and Affiliations

  • Mithra Vankipuram
    • 1
  • Vafa Ghaemmaghami
    • 2
    • 3
  • Vimla L. Patel
    • 4
    • 5
    • 6
  1. 1.HP LabsHewlett-Packard (HP)Palo AltoUSA
  2. 2.Trauma Division, Department of SurgeryBanner Good Samaritan HospitalPhoenixUSA
  3. 3.University of Arizona College of MedicinePhoenixUSA
  4. 4.Center for Cognitive Studies in Medicine and Public Health, New York Academy of MedicineNew YorkUSA
  5. 5.Department of Biomedical InformaticsColumbia UniversityNew YorkUSA
  6. 6.Department of Biomedical InformaticsArizona State UniversityScottsdaleUSA

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