RT Book, Section A1 Shah, Nirav J. A1 Tremper, Kevin A1 Kheterpal, Sachin A2 Longnecker, David E. A2 Brown, David L. A2 Newman, Mark F. A2 Zapol, Warren M. SR Print(0) ID 56629796 T1 Chapter 29. Perioperative Information Management Systems T2 Anesthesiology, 2e YR 2012 FD 2012 PB The McGraw-Hill Companies PP New York, NY SN 978-0-07-178513-6 LK accessanesthesiology.mhmedical.com/content.aspx?aid=56629796 RD 2024/10/14 AB Perioperative information management systems (PIMS) are software systems that manage the documentation, workflow, and charge capture of the operating room (OR) environment. PIMS are composed of two main components: anesthesia information management systems (AIMS) and operating room management information systems (ORMIS).AIMS have been shown to improve processes of care. However, the expense and effort of implementing these systems has prevented widespread adoption.Point-of-care software and hardware are available in many different forms. Each has its advantages and disadvantages. Ultimately, the institutional leaders need to decide on the best fit for its users.Functional components of AIMS include automated device interfaces, user-entered documentation, decision support capabilities, charge capture, and reporting capabilities.Functional components of ORMIS include clinical documentation, process reporting, OR scheduling, resource management, and patient tracking.AIMS and ORMIS need to be configurable systems to account for changes in practice patterns, new regulatory requirements, and updates in medical technology.AIMS need to integrate with hospital-wide electronic medical records (EMRs). The anesthetic record needs to be available for viewing as part of the medical record, and anesthesiologists need to view enterprise patient information in the perioperative environment while using the AIMS.Institutions need to have disaster preparedness strategies including data redundancy plans to account for failure at each level of software and hardware architecture.PIMS vendors will continue to add new features and functionality to their systems. Exciting opportunities lie in the standardization of content and ability to aggregate and analyze large amounts of clinical data.