This book provides an overview of the challenges in electronic health records (EHR) design and implementation along with an introduction to the best practices that have been identified over the past several years. The book examines concerns surrounding EHR use and proposes eight examples of proper EHR use. It discusses the complex strategic planning that accompanies the systemic organizational changes associated with EHR programs and highlights key lessons learned regarding health information—including technology errors and risk management concerns.
Acknowledgment and How to Cite |
|
xi | |
|
|
xiii | |
Introduction |
|
xix | |
|
|
|
1 Eight Rights of Safe Electronic Health Record Use |
|
|
1 | (8) |
|
|
|
2 Ten Key Considerations for the Successful Implementation and Adoption of Large-Scale Health Information Technology |
|
|
|
|
|
|
Part II Identifying and Preventing EHR Safety Concerns |
|
|
9 | (56) |
|
3 Defining Health Information Technology-Related Errors: New Developments Since to Err is Human |
|
|
27 | (10) |
|
|
|
4 A Red-Flag Based Approach to Risk Management of EHR-Related Safety Concerns |
|
|
37 | (12) |
|
|
|
5 Matching Identifiers in Electronic Health Records: Implications for Duplicate Records and Patient Safety |
|
|
49 | (16) |
|
|
|
|
|
|
|
Part III EHR Users and Usability |
|
|
|
6 Rights and Responsibilities of Users of Electronic Health Records |
|
|
65 | (14) |
|
|
|
7 A Human Factors Guide to Enhance HER Usability of Critical User Interactions When Supporting Pediatric Patient Care (NISTIR 7865) |
|
|
79 | (36) |
|
|
|
|
|
|
|
|
|
8 Sociotechnical Evaluation of the Safety and Effectiveness of Point-of-Care Mobile Computing Devices: A Case Study Conducted in India |
|
|
115 | (20) |
|
|
|
|
Part IV Clinical Decision Support |
|
|
|
9 Ten Commandments for Effective Clinical Decision Support: Making the Practice of Evidence-Based Medicine a Reality |
|
|
135 | (22) |
|
|
|
|
|
|
|
|
|
|
|
10 Improving Clinical Quality Indicators Through Electronic Health Records: It Takes More Than Just a Reminder |
|
|
157 | (6) |
|
|
|
|
|
11 Recommended Practices for Computerized Clinical Decision Support and Knowledge Management in Community Settings: A Qualitative Study |
|
|
163 | (40) |
|
|
|
|
|
|
|
|
|
|
|
|
12 Governance for Clinical Decision Support: Case Studies and Recommended Practices from Leading Institutions |
|
|
203 | (26) |
|
|
|
|
|
|
|
|
|
|
|
|
|
13 Use of Order Sets in Inpatient Computerized Provider Order Entry Systems: A Comparative Analysis of Usage Patterns at Seven Sites |
|
|
229 | (32) |
|
|
|
|
|
|
|
|
|
|
14 Improving the Effectiveness of Electronic Health Record-Based Referral Processes |
|
|
261 | (20) |
|
|
|
|
|
Part VI Laboratory Test Result Management |
|
|
|
15 Eight Recommendations for Policies for Communicating Abnormal Test Results |
|
|
281 | (16) |
|
|
|
16 Improving Follow-Up of Abnormal Cancer Screens Using Electronic Health Records: Trust But Verify Test Result Communication |
|
|
297 | (16) |
|
|
|
|
|
|
|
|
Part VII Bar Coded Medication Administration |
|
|
|
17 Fifteen Best Practice Recommendations for Bar-Code Medication Administration in the Veterans Health Administration |
|
|
313 | (28) |
|
|
|
|
Part VIII Computer-Based Provider Order Entry |
|
|
|
18 Computerized Provider Order Entry Adoption: Implications for Clinical Workflow |
|
|
341 | (18) |
|
|
|
|
|
|
19 Lessons From "Unexpected Increased Mortality After Implementation of a Commercially Sold Computerized Physician Order Entry System" |
|
|
359 | (10) |
|
|
|
|
|
Author Notes |
|
369 | (12) |
Index |
|
381 | |
Dean F. Sittig, PhD, is a Professor at the School of Biomedical Informatics in The University of Texas Health Science Center at Houston and a member of the UT Houston-Memorial Hermann Center for Healthcare Quality and Safety. Dr. Sittig's research interests center on the design, development, implementation, and evaluation of all aspects of clinical information systems. In addition to Dr. Sittig's work on measuring the impact of clinical information systems on a large scale, he is working to improve our understanding of both the factors that lead to success, as well as, the unintended consequences associated with computer-based clinical decision support and provider order entry systems.