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CHAPTER 8: Principles of Medical Informatics and Clinical Informatics in the ICU  55

                        ■  FACTORS AFFECTING HIT ADOPTION                 GLOSSARY OF TERMS

                    A recent survey of US hospitals showed that hospitals that had adopted   Clinical Decision Support Systems (CDSS) or Decision Support System
                    either basic or comprehensive electronic records have risen modestly,   (DSS) or Clinical Decision Support (CDS)  Computer-based application
                    from 8.7% in 2008 to 11.9% in 2009 and increasing at about 3% to 6%   provides reminders and best-practice guidance in the context of data spe-
                    per year.  Health care is still behind other industries in the adoption   cific to the patient that helps physicians make clinical decisions.
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                    of information technology. Implementation of HIT faces a number of
                    barriers, including institutional, cognitive, liability, knowledge, and   Computerized physician order entry (CPOE)  Computer system that
                    attitudinal.  Before adoption of HIT, health care organizations should   allows direct entry of medical orders to EMR.
                           29
                    consider the following:                               Critical Care Information System (CCIS)  Electronic medical record
                                                                          implementing specific requirements for care ICU patients.
                      • Early adopter experience: The experience of early adopters of HIT
                      has an influence on followers.                      Data warehouse or Central Data Repository (CDR)  Collection of data
                      • Legacy systems: Unique disparate systems cannot be replaced with   gathered from one or more data repositories to create a central database.
                                                                          Data warehousing also includes the architecture and tools needed to col-
                      new systems on an ad hoc basis. Many institutions are stuck with old   lect, query, analyze, and present information.
                      systems that cannot integrate with new EHR.         Electronic medical record (EMR) or electronic health record (EHR) or
                      • Inadequate standards: Lack of interconnectivity and interoperability   computer-based patient record (CPR)  Variations of terms for all electronic
                      between different vendors can represent a key barrier to adoption   patient care systems containing current and historical patient information.
                      across a health care practice.
                      • Lack of capital and access to technology: HIT requires a large initial   Electronic patient record (EPR)  Similar to the EMR, but focuses on
                                                                          information gathered by specific provider.
                      investment in technology and human resources. That cost is often
                      underestimated at the planning phase.               Health information technology (HIT)  The application of information
                                                                          processing involving both computer hardware and software that deals
                      • Operating costs: Ongoing maintenance and operation costs of HIT   with the storage, retrieval, sharing, and use of health care information,
                      are significant.                                    data, and knowledge for communication and decision making.
                      • Risk-reward perception: Implementation of EHR may introduce   Hospital Information System (HIS) or  Clinical Information System
                      a period of lower productivity during learning and adoption of a     (CIS)  Comprehensive, integrated computerized information system
                      new system.                                         designed to manage clinical, administrative, and financial aspects of a hospital.
                        ■  NEXT GENERATION OF ICU EHR                     Infobutton  Context-specific link from EMR to other resources that
                                                                          provides information that might be relevant to the initial context.
                    Today clinicians are faced with information overload. Raw data are   Patient health record (PHR)  Managed and controlled by the patient
                    indiscriminately presented from multiple sources with minimum or no   and is mostly Web-based.
                    integration. The care of critically ill patients generates a median of 1348   Picture Archiving and Communication Systems (PACS)  Clinical
                    individual data points/day and this quantity has increased 26% over    computer system for storage, rapid retrieval, and access to images
                    5 years.  Important data elements are distributed across many different   acquired with multiple modalities.
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                    computer  platforms  and  applications.  This makes  diagnostic  pattern   Often terms HIT, clinical information technologies (CIT), and EMR
                    recognition difficult for clinicians and in the context of the critical care   systems are used interchangeably.
                    environment can lead to delays in diagnosis and delivery of care.
                     A future generation of EHR needs to exploit the advantages offered   HELPFUL RESOURCES
                    by the digitalization of the ICU environment. Key functionalities will
                    include                                                 • Certified HIT Product List (CHPL) provides a comprehensive list-
                      • Detection of the clinical context in which they are operating  ing of complete EHRs and EHR modules that have been tested and
                      • Reduce information overload by configuring the user interface to   certified under the Temporary Certification Program maintained by
                                                                            the Office of the National Coordinator for Health IT (ONC) (http://
                      preferentially display subsets of task specific data to bedside provid-  onc-chpl.force.com/ehrcert).
                      ers at the point of care
                      • Provide decision support                            • The Office of the National Coordinator for Health Information
                                                                            Technology (ONC)—http://healthit.hhs.gov.
                      • Provide systems surveillance of health care delivery and real time     • A resource of information that contains literature about the benefits
                      feedback on performance with reference to established standards    of HIT is the Searchable Health Information Technology Costs &
                      of care                                               Benefits Database from AHRQ (http://healthit.ahrq.gov/tools/rand).
                      • Be  seamlessly integrated  into  the  environment  and  workflow  in  a
                      manner that exploits our understanding of distributed cognitive
                      function and “choice architecture”  to optimize patient-centered   KEY REFERENCES
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                      outcomes                                                • Ali NA, Mekhjian HS, Kuehn PL, et al. Specificity of computerized
                      • Secondary data use in the development of sophisticated models of   physician order entry has a significant effect on the efficiency of
                      critical illness syndromes, which will form the basis of comparative   workflow for critically ill patients. Crit Care Med. 2005;33(1):110-114.
                      effectiveness research and in silico clinical trials    • Amarasingham R, Pronovost PJ, Diener-West M, et al. Measuring
                      • Support cost-effective administrative decision making through the   clinical information technology in the ICU setting: application
                      automated measurements and analysis of processes of care essential   in a quality improvement collaborative. J Am Med Inform Assoc.
                      to quality improvement initiatives                     2007;14(3):288-294.
                      • Support the identification and recognition of patients with poten-    • Angus DC, Kelley MA, Schmitz RJ, White A, Popovich J Jr.
                      tial or established critical illness outside critical care areas  for the   Caring for the critically ill patient. Current and projected work-
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                      purpose of timely intervention and enrollment in clinical research   force requirements for care of the critically ill and patients with
                      trials








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