Health Informatics Integrated System Post-Implementation Evaluation

Authors

  • Sajeesh Kumar

Keywords:

health informatics; evaluation, postimplementation

Abstract

Part of awell-designed health informatics simple mentation process includes the mechanisms put in place to help the day-to-day operators of the systems. Continual appraisal of these methods necessitates up-to-date investigations. Understanding critical elements which support a positive transition of health information technology (HIT) within healthcare facilities is the objective of the following research. To help develop these findings, a prospective postimplementation and use assessment survey was conducted on two hospitalsin Central Texas. The population studied included RN case managers, social workers and supportive staff in the Continuum of Care departmentsat two Scott & White Healthcare acute care facilities. The implementation process appeared to provide a mostly encouraging transition with a small number of components noted of concern to the staff. Areas of enhancement were revealed included improving training specific to job roles and supplying more fitting integration of processes and workflows.

How to Cite

Health Informatics Integrated System Post-Implementation Evaluation. (2015). Global Journal of Medical Research, 15(K3), 1-37. https://medicalresearchjournal.org/index.php/GJMR/article/view/927

References

Rod Brace (2014) The Science of Engagement. Present at the Memorial Hermann Case Management Retreat.

(2007) 2014 National Survey of Canadian Nurses.

(2001) Crossing the Quality Chasm.

(2010) Health Information Technology: Initial Set. 75(144), 44590-44654.

(2013) Statistics Coach.

E Kirkendall, L Goldenhar, J Simon, D Wheeler, Andrew Spooner, S (2013) Transitioning from a computerized provider order entry and paper documentation system to an electronic health record: Expectations and experiences of hospital staff.

A Laramee, M Bosek, C Kasprisin, T Powers-Phaneuf (2012) Learning From Within to Ensure a Successful Implementation of an Electronic Health Record. 30, 181-190.

Ann Laramee, Marcia Bosek, Hollie Shaner-Mcrae, Terry Powers-Phaneuf (2012) A Comparison of Nurse Attitudes Before Implementation and 6 and 18 Months After Implementation of an Electronic Health Record. 30(10), 521-530.

(2009) Energy-conserving development regulations: current practice.

Paul Harris, Robert Taylor, Robert Thielke, Jonathon Payne, Nathaniel Gonzalez, Jose Conde (2009) Research electronic data capture (REDCap)-A metadata-driven methodology and workflow process for providing translational research informatics support. 42(2), 377-381.

P Sockolow, J Weiner, K Bowles, H Lehmann (2011) A new instrument for measuring clinician satisfaction with electronic health records. 29(10), 574-585.

Joanne Spetz, James Burgess, Ciaran Phibbs (2012) The effect of health information technology implementation in Veterans Health Administration hospitals on patient outcomes. 2(1), 40-47.

Marcia Ward, Smruti Vartak, Tammy Schwichtenberg, Douglas Wakefield (2011) Nurses' Perceptions of How Clinical Information System Implementation Affects Workflow and Patient Care. 29(9), 502-511.

Health Informatics Integrated System Post-Implementation Evaluation

Published

2015-05-22

How to Cite

Health Informatics Integrated System Post-Implementation Evaluation. (2015). Global Journal of Medical Research, 15(K3), 1-37. https://medicalresearchjournal.org/index.php/GJMR/article/view/927