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(11), 1-38. https://medicalresearchjournal.org/index.php/GJMR/article/view/

Author Biography

Sajeesh Kumar

Sajeesh Kumar, PhD, is an Associate Professor in the Department of Health Informatics & Information Management at the University of Tennessee Health Science Center (UTHSC). He also serves as the Executive Director of the Institute for Health Outcomes and Policy at UTHSC. With a strong focus on health informatics, Dr. Kumar has contributed significantly to the field through his research on clinical documentation improvement, health information management, and the evaluation of integrated health systems. His work has been widely recognized, with over 890 citations across 54 publications, an h-index of 15, and an i10-index of 17. Dr. Kumar's expertise bridges the gap between healthcare and information technology, driving advancements in data-driven healthcare solutions.

References

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

Canada Health Infoway (2007) Canada Health Infoway System And Use Assessment Survey. 2. http://healthit.ahrq.gov/health-it-tools-and-resources/health-it-survey-compendium/canada-health-infoway-system-and-use

(2001) Crossing the Quality Chasm.

(2010) Federal Register. 75(144), 4590-4465. http://www.gpo.gov/fdsys/pkg/FR-2010-07-28/pdf/2010-17210.pdf

IBM Statistics (2013) Statistics Coach.

Eric Kirkendall, Linda Goldenhar, Jodi Simon, Derek Wheeler, S. Andrew Spooner (2013) Transitioning from a computerized provider order entry and paper documentation system to an electronic health record: Expectations and experiences of hospital staff. 82(11), 1037-1045. https://doi.org/10.1016/j.ijmedinf.2013.08.005

Ann Laramee, Marcia Bosek, Christina Kasprisin, Terry Powers-Phaneuf (2012) Learning From Within to Ensure a Successful Implementation of an Electronic Health Record. 29(8), 468-477. https://doi.org/10.1097/ncn.0b013e3181fc3fc7

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. CIN: Computers, Informatics. 30(10), 521-530. https://doi.org/10.1097/nxn.0b013e3182573b04

E. Layman, Watzlaf, V. (Eds.) (2009) Health informatics research methods: Principles and practice. 2.

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

Paulina Sockolow, Jonathan Weiner, Kathryn Bowles, Harold Lehmann (2011) A New Instrument for Measuring Clinician Satisfaction With Electronic Health Records. 29(10), 574-585. https://doi.org/10.1097/ncn.0b013e31821a1568

J. Spetz, J. Burgess Jr, C. Phibbs (2012) What determines successful implementation of inpatient information technology systems?. 2(3), 157-162.

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. https://doi.org/10.1097/ncn.0b013e31822b8798

Health Informatics Integrated System Post-Implementation Evaluation

Published

2015-04-02

How to Cite

Health Informatics Integrated System Post-Implementation Evaluation. (2015). Global Journal of Medical Research, 15(11), 1-38. https://medicalresearchjournal.org/index.php/GJMR/article/view/