Predicting computerized physician order entry system adoption in US hospitals: Can the federal mandate be met?

OBJECTIVES The purpose of this study is four-fold. First, the hospitals' current level of computerized physician order entry (CPOE) adoption is reported; second, internal and external influence factors' roles in determining CPOE adoption rates are described; third, the future diffusion rate of CPOE systems in US hospitals is empirically predicted; finally, the current technology's state-of-the-art is assessed. DATA SOURCE Secondary data from 3 years of the Leapfrog Group's annual survey (2002-2004) of US tertiary-care hospitals. STUDY DESIGN This study estimates CPOE market penetration rates applying technology diffusion theory and Bass modeling techniques for three future CPOE adoption scenarios-'Optimistic,' 'Best estimate', and 'Conservative' are empirically derived. PRINCIPAL FINDINGS Two of the CPOE adoption scenarios have diffusion S-curve that indicates a technology will achieve significant market penetration. Under current conditions, CPOE adoption in urban hospitals will not reach 80% penetration until 2029. CONCLUSIONS The promise of improved quality of care through medication error reductions and significant cost controls prompted the Institute of Medicine to call for universal CPOE adoption by 1999. However, the CPOE products available as of 2006 represent only a 'second generation technology', characterized by many limitations. Without increased external and internal pressures, such CPOE systems are unlikely to achieve full diffusion in US hospitals in a timely manner. Alternatively, developing a new generation of CPOE technology that is more 'user-friendly' and easily integrated into hospitals' legacy systems may be a more expedient approach to achieving widespread adoption.

[1]  E. Rogers,et al.  Diffusion of Innovations , 1964 .

[2]  Richard Heeks,et al.  Health information systems: Failure, success and improvisation , 2006, Int. J. Medical Informatics.

[3]  Paul N. Gorman,et al.  Physician order entry in U.S. hospitals , 1998, AMIA.

[4]  Jonas Larsson,et al.  Design and implementation of a point-of-care computerized system for drug therapy in Stockholm metropolitan health region - Bridging the gap between knowledge and practice , 2007, Int. J. Medical Informatics.

[5]  Jill R Horwitz,et al.  U.S. adoption of computerized physician order entry systems. , 2005, Health affairs.

[6]  A. McAlearney,et al.  Doctors' experience with handheld computers in clinical practice: qualitative study , 2004, BMJ : British Medical Journal.

[7]  Christophe Van den Bulte,et al.  Technical Report: Want to know how diffusion speed varies across countries and products? Try using a Bass model , 2005 .

[8]  Richard Kremsdorf CPOE: not the first step toward patient safety. , 2005, Health management technology.

[9]  P. Aspden Patient Safety: Achieving a New Standard for Care , 2004 .

[10]  Melissa M. Honour,et al.  Overcoming barriers to adopting and implementing computerized physician order entry systems in U.S. hospitals. , 2004, Health affairs.

[11]  D. Meadows-Klue The Tipping Point: How Little Things Can Make a Big Difference , 2004 .

[12]  Jeff Tieman,et al.  Experimenting with quality. CMS-Premier initiative to reward best, punish worst. , 2003, Modern healthcare.

[13]  Ann Scheck McAlearney,et al.  Utilization of evidence-based computerized order sets in pediatrics , 2006, Int. J. Medical Informatics.

[14]  E. McGlynn,et al.  Profiling the quality of care in twelve communities: results from the CQI study. , 2004, Health affairs.

[15]  A. Localio,et al.  Role of computerized physician order entry systems in facilitating medication errors. , 2005 .

[16]  Marc Berg,et al.  Viewpoint Paper: Some Unintended Consequences of Information Technology in Health Care: The Nature of Patient Care Information System-related Errors , 2003, J. Am. Medical Informatics Assoc..

[17]  Antoine Geissbühler,et al.  Comprehensive management of the access to the electronic patient record: Towards trans-institutional networks , 2007, Int. J. Medical Informatics.

[18]  A. Wall,et al.  Book ReviewTo Err is Human: building a safer health system Kohn L T Corrigan J M Donaldson M S Washington DC USA: Institute of Medicine/National Academy Press ISBN 0 309 06837 1 $34.95 , 2000 .

[19]  F. Bass A new product growth model for consumer durables , 1976 .

[20]  Rita Snyder,et al.  Computerized provider order entry system field research: The impact of contextual factors on study implementation , 2006, Int. J. Medical Informatics.

[21]  Patrick J Antonelli,et al.  Computerized physician-order entry: are we there yet? , 2002, Otolaryngologic clinics of North America.

[22]  D. Bates,et al.  Effect of computerized physician order entry and a team intervention on prevention of serious medication errors. , 1998, JAMA.

[23]  E. McGlynn,et al.  The quality of health care delivered to adults in the United States. , 2003, The New England journal of medicine.

[24]  Ana Aleixo,et al.  Medication Errors in an Internal Medicine Department. Evaluation of a Computerized Prescription System , 2005, Pharmacy World and Science.

[25]  Margaret Williamson,et al.  The impact of computerised physician order entry systems on pathology services: A systematic review , 2007, Int. J. Medical Informatics.

[26]  J. P. Kichak,et al.  Computerized physician order entry: helpful or harmful? , 2003, Journal of the American Medical Informatics Association : JAMIA.

[27]  E. Steinberg,et al.  Improving the quality of care--can we practice what we preach? , 2003, The New England journal of medicine.

[28]  D. Lehmann,et al.  Extent and Impact of Incubation Time in New Product Diffusion , 1999 .

[29]  D. Bates,et al.  Computerized physician order entry systems in hospitals: mandates and incentives. , 2002, Health affairs.

[30]  James G. Anderson,et al.  Social, ethical and legal barriers to E-health , 2007, Int. J. Medical Informatics.

[31]  Brian Gugerty,et al.  CPOE systems: success factors and implementation issues. , 2004, Journal of healthcare information management : JHIM.

[32]  Y. Han,et al.  Unexpected Increased Mortality After Implementation of a Commercially Sold Computerized Physician Order Entry System , 2005, Pediatrics.

[33]  Donna Young IOM advises CPOE, other technology for preventing medication errors. , 2006, American journal of health-system pharmacy : AJHP : official journal of the American Society of Health-System Pharmacists.

[34]  J. Marc Overhage,et al.  Research Paper: Controlled Trial of Direct Physician Order Entry: Effects on Physicians' Time Utilization in Ambulatory Primary Care Internal Medicine Practices , 2001, J. Am. Medical Informatics Assoc..

[35]  A. Localio,et al.  Role of computerized physician order entry systems in facilitating medication errors. , 2005, JAMA.

[36]  P. Maurette [To err is human: building a safer health system]. , 2002, Annales francaises d'anesthesie et de reanimation.

[37]  Alastair Baker,et al.  Crossing the Quality Chasm: A New Health System for the 21st Century , 2001, BMJ : British Medical Journal.

[38]  F. Bass,et al.  A diffusion theory model of adoption and substitution for successive generations of high-technology products , 1987 .

[39]  G. Breeuwsma Geruchten als besmettelijke ziekte. Het succesverhaal van de Hush Puppies. Bespreking van Malcolm Gladwell, The tipping point. How little things can make a big difference. London: Little, Brown and Company, 2000 , 2000 .

[40]  Christian Lovis,et al.  Preparation and use of preconstructed orders, order sets, and order menus in a computerized provider order entry system. , 2003, Journal of the American Medical Informatics Association : JAMIA.

[41]  Eric W. Ford,et al.  Predicting the adoption of electronic health records by physicians: when will health care be paperless? , 2006, Journal of the American Medical Informatics Association : JAMIA.

[42]  Cinda Becker,et al.  Time to pay for quality. CMS will partner with premier in trial project to give financial bonuses to hospitals that deliver the best care. , 2003, Modern healthcare.