Incorporating Pharmacogenomics into Health Information Technology, Electronic Health Record and Decision Support System: An Overview

2016 ◽  
Vol 41 (2) ◽  
Author(s):  
Abdullah Alanazi
Keyword(s):  
Information Technology ◽  
Decision Support ◽  
Decision Support System ◽  
Electronic Health Record ◽  
Health Information Technology ◽  
Health Information ◽  
Support System ◽  
Health Record ◽  
Electronic Health

Describing the role of the hematology/oncology clinical pharmacist in health information technology

2020 ◽  
pp. 107815522090892
Author(s):  
Jennifer S Philippon ◽  
Carolyn L Kusoski ◽  
Julie M Kennerly-Shah ◽  
Janinah S Barreto
Keyword(s):  
Information Technology ◽  
Electronic Health Record ◽  
Patient Care ◽  
Health Information Technology ◽  
Health Information ◽  
Clinical Pharmacist ◽  
Health Record ◽  
Clinical Pharmacists ◽  
Electronic Health

Purpose To describe the role of hematology/oncology clinical pharmacists in health information technology as well as their perceptions of the impact of technology expansion on patient care. Methods A single-center, web-based survey was distributed to 30 hematology/oncology clinical pharmacists by email over the two-week-period of 24 September 2018 to 8 October 2018. The anonymous survey was composed of 19 questions, with varying formats including multiple choice, fill-in-the-blank, and rank order. Primary endpoints were quantification of time spent in the electronic health record and perceptions on how technology expansion has impacted the safety, quality, and efficiency of patient care. Results Twenty-seven hematology/oncology clinical pharmacists (90% response rate) completed the survey in its entirety. Respondents reported that they spend an average of 84.1% of their work day in the electronic health record. Based on a 40-h work week, clinical pharmacists indicated that they spend approximately 32.2 h each week performing direct patient care tasks in the electronic health record compared to 3.7 h on indirect patient care tasks. All respondents reported a greater utilization of technology over the last five years, and most respondents felt that patient care is safer, of better quality, and more efficient with technology expansion. The majority of respondents (81.5%) indicated that clinical pharmacists have the best understanding of the health information technology system, followed by generalist pharmacists and informatics pharmacists. Conclusion The hematology/oncology clinical pharmacist is well positioned to serve as a health information technology leader on the interdisciplinary healthcare team.

scholarly journals Experience with decision support system and comfort with topic predict clinicians’ responses to alerts and reminders

2015 ◽  
Vol 23 (e1) ◽  
pp. e125-e130 ◽  
Author(s):  
Nerissa S Bauer ◽  
Aaron E Carroll ◽  
Chandan Saha ◽  
Stephen M Downs
Keyword(s):  
Information Technology ◽  
Quality Improvement ◽  
Decision Support ◽  
Decision Support System ◽  
Health Information Technology ◽  
Health Information ◽  
Support System ◽  
Response Rate ◽  
Factors Associated ◽  
Prompt Response

Abstract Objective Clinicians at our institution typically respond to about half of the prompts they are given by the clinic’s computer decision support system (CDSS). We sought to examine factors associated with clinician response to CDSS prompts as part of a larger, ongoing quality improvement effort to optimize CDSS use. Methods We examined patient, prompt, and clinician characteristics associated with clinician response to decision support prompts from the Child Health Improvement through Computer Automation (CHICA) system. We asked pediatricians who were nonusers of CHICA to rate decision support topics as “easy” or “not easy” to discuss with patients and their guardians. We analyzed these ratings and data, from July 1, 2009 to January 29, 2013, utilizing a hierarchical regression model, to determine whether factors such as comfort with the prompt topic and the length of the user’s experience with CHICA contribute to user response rates. Results We examined 414 653 prompts from 22 260 patients. The length of time a clinician had been using CHICA was associated with an increase in their prompt response rate. Clinicians were more likely to respond to topics rated as “easy” to discuss. The position of the prompt on the page, clinician gender, and the patient’s age, race/ethnicity, and preferred language were also predictive of prompt response rate. Conclusion This study highlights several factors associated with clinician prompt response rates that could be generalized to other health information technology applications, including the clinician’s length of exposure to the CDSS, the prompt’s position on the page, and the clinician’s comfort with the prompt topic. Incorporating continuous quality improvement efforts when designing and implementing health information technology may ensure that its use is optimized.

scholarly journals Electronic Health Record Certification in Oncology: Role of the Certification Commission for Health Information Technology

2011 ◽  
Vol 7 (4) ◽  
pp. 209-213 ◽  
Author(s):  
Robert S. Miller
Keyword(s):  
Information Technology ◽  
Electronic Health Record ◽  
Health Information Technology ◽  
Health Information ◽  
Development Process ◽  
Health Record ◽  
Multidisciplinary Nature ◽  
Electronic Health

The transparency and multidisciplinary nature of the CCHIT criteria development process ensure that certification is a meaningful and clinically relevant achievement for an EHR product.

scholarly journals Error by omission: A lack of integration across implementation and use in structuring health information technology contracts

2020 ◽  
Vol 26 (3) ◽  
pp. 2202-2212
Author(s):  
Thomas R Martin ◽  
Hamlet Gasoyan ◽  
David J Wierz
Keyword(s):  
Information Technology ◽  
Best Practices ◽  
Electronic Health Record ◽  
Health Information Technology ◽  
Health Information ◽  
Cost Of Care ◽  
Assessment Process ◽  
Healthcare Personnel ◽  
Health Record ◽  
Electronic Health

Limited work identifies best practices to assess functional electronic health record system performance when contracting for health information technology and information technology–related services. Without a set of best practices or specific contracting provisions to assess the performance of electronic health record systems, healthcare providers will not be able to fully leverage the performance of these systems to reduce the cost of care and improve patient outcomes. This work seeks to provide operational considerations and best practices when forming teams to negotiate health information technology system specifications in contracts. To better understand the contracting and performance assessment process, we conducted a cross-sectional survey of eligible healthcare personnel. Our study highlights a potential disconnect between respondents setting contract structure, knowledge of ongoing functional performance assessments in practice, and the relationship to those with direct system involvement to avoid potential legal risk.

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