Doctor of Philosophy

dissertationComputerized provider order entry (CPOE) is a component of electronic health records (EHR) that has been touted as a crucial means to support healthcare quality and efficiency. The costs of EHR implementation can be staggeringly high, and little literature exists to verify the hypothesized benefits of CPOE and EHRs. The purpose of this study, based on Coyle and Battle's adaptation of the classic Donabedian quality improvement framework, was to evaluate system-wide outcomes after CPOE implementation in a large academic setting. The specific aims were to describe the association between CPOE implementation and (1) mortality rate and (2) length of stay (LOS), controlling statistically for antecedent, structure, and process variables. The study used hierarchical linear modeling to analyze clinical and administrative data from 2.5 years before and 2.5 years after CPOE implementation. Aim 1 analysis included 104,153 hospital visits and aim 2 analysis included 89,818 visits. Two models were created for each analysis, (a) a model with individual patient care units as the unit of analysis and (b) a model with units aggregated by type. LOS decreased 0.9 days per visit in all models. Mortality decreased 1 to 4 deaths per 1000 visits, depending on the model; or 54 to 216 patient lives saved in the postimplementation period. Significant antecedents were patient demographics, insurance type, and scheduled versus emergency admission; structure variables included patient care unit, private room, and palliative care; and process variables included nursing care iv hours and the number of orders placed. Mortality models were variable by patient care unit, and strongly influenced by confounders such as rapid response team or code activation, suggesting the importance for future studies to account for those influences. CPOE was statistically associated with clinically significant improvements in the system-wide outcomes. Controlling statistically for antecedent, structure, and process variables, the analysis found that after the implementation of CPOE, there was a decrease in mortality and LOS. Future studies need to determine how CPOE implementation impacts nursing performance and how CPOE influences the effect of new physician resident arrival on patient outcomes

A Study of Rochester Area Hospital Information Systems

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Comparison of the effectiveness of traditional nursing medication administration with the Color Coding Kids system in a sample of undergraduate nursing students

The problem of medication errors in hospitals and the vulnerability of pediatric patients to adverse drug events (ADE) was investigated and well substantiated. The estimated additional cost of inpatient care for ADE’s in the hospital setting alone was conservatively estimated at an annual rate per incident of 400,000 preventable events each incurring an extra cost of approximately $5,857. The purpose of the researcher was to compare the effectiveness of traditional nursing medication administration with the Color Coding Kids (CCK) system (developed by Broselow and Luten for standardizing dosages) to reduce pediatric medication errors. A simulated pediatric rapid response scenario was used in a randomized clinical study to measure the effects of the CCK system to the traditional method of treatment using last semester nursing students. Safe medication administration, workflow turnaround time and hand-off communication were variables studied. A multivariate analysis of variance was used to reveal a significant difference between the groups on safe medication administration. No significant difference between the groups on time and communication was found. The researcher provides substantial evidence that the CCK system of medication administration is a promising technological breakthrough in the prevention of pediatric medication errors

The Electronic Health Record's Impact on Labor and Delivery Nurses' Cognitive Work

The Electronic Health Record’s Impact on Labor and Delivery Nurses’ Cognitive WorkAbstractBackground and objective: Despite recognition that electronic health record (EHR) use has introduced cognitive challenges for clinicians, few studies have evaluated its impact on the cognitive dimension of nurses’ work. Labor and delivery nurses may encounter unique challenges when using the electronic health record since they also interact with an electronic fetal monitoring system. This study sought to explore labor and delivery nurses’ perceptions of the EHR’s impact on their cognitive work with the goal of identifying patient safety implications. Methods and setting: This was a grounded theory study using dimensional and situational analysis. Data were interviews and observations with 21 labor nurses at two community hospitals in the Western United States. Results: The ways that nurses configured care when using the EHR varied across participants and sites and depended on how easily they integrated it into their practice. Individual, group, and situational factors facilitated or constrained integration. This took place in a dynamic, high-acuity, specialty clinical environment while using EHRs that were not designed for pregnant women. Nurses used clinical decision support and other cognitive support features that rarely worked as intended due to the lack of EHR customization to account for pregnancy physiology and unique risk factors in the perinatal patient. Nurses viewed the quality of their relationships with patients and their families as an integral part of caring for laboring women and felt that interaction with the EHR sometimes threatened this dimension of their work. Conclusions: When nurses were unable to integrate the EHR into care it resulted in numerous consequences that have important safety implications. Available cognitive support features lacked the specialty-specific support needed to care for laboring women and instead required nurses to track information in other ways that added to their cognitive burden and work routines. As a result, nurses and patients were not benefitting from the intended decision support and patient safety protections offered by appropriate risk assessment screens or critical alerts. These findings have important implications for the configuration and design of EHRs in perinatal settings

The HELP System

book chapterBiomedical Informatic

Patient Safety and Quality: An Evidence-Based Handbook for Nurses

Compiles peer-reviewed research and literature reviews on issues regarding patient safety and quality of care, ranging from evidence-based practice, patient-centered care, and nurses' working conditions to critical opportunities and tools for improvement

MS

thesisHealth information systems are networks of computers employed by health care enterprises to facilitate the delivery of their health care product. Computers originally entered the medical domain solely as tools aimed at the business functions of the hospital. Having demonstrated their utility in this area, computers were perceived by certain innovators to have usefulness in the clinical domain. As clinical computer applications were successfully developed and implemented, they have over time been merged together into systems offering multiple areas of functionality directly impacting the clinical aspects of health care delivery. Such health information systems have now assumed major importance in the provision of health care in a complex medical environment. Although the focus of substantial investment for development and implementation, relatively little work has been done to assess the value of such health information systems. The business information technology literature and the medical informatics literature each include only a small number of published reports examining the value question in an incomplete manner. No generally accepted valuation strategy has been developed for information systems in either the business or health care domains. Several valuation methods with potential applicability to health information systems have evolved: cost-effectiveness / cost- benefit analysis, return on investment, information economics, measurement systems, the Strassmann approach, the Japanese approach, and the strategic value approach. None of these valuation strategies is clearly superior; each has different strengths and weaknesses. A matrix comparing these strategies on the bases of explicitness and ease of implementation is proposed. Intermountain Health Care (IHC) has been instrumental in the development of health information systems and a leader in the application of such technology in clinical health care delivery. IHC's HELP system has played a seminal role as a catalyst to the development of the health information system industry. Although both historically and functionally important, detailed financial information regarding HELP'S origins and implementation no longer exists. Current IHC budget information demonstrates the major financial commitment underway within this health care enterprise totaling approximately $157 million over the last decade and with additional expenditures of$47 to $61 million projected annually through fiscal year 2004. The complex budgetary relationships between HELP and the other health information systems at LDS Hospital further obscure the magnitude of the information technology investment within this institution. Benefits of health information systems are potentially most substantial within the domain of clinical integration. IHC has not implemented any formal valuation strategy for its health information systems, but the ad hoc measurement systems valuation approach applied to date is practical, flexible, and the most appropriate of the available systems. Adequate valuation of health information systems cannot readily be achieved given the existing traditional hierarchical accounting structure; an alternative accounting framework patterned after a relational database is proposed

A Learning Health Sciences Approach to Understanding Clinical Documentation in Pediatric Rehabilitation Settings

The work presented in this dissertation provides an analysis of clinical documentation that challenges the concepts and thinking surrounding missingness of data from clinical settings and the factors that influence why data are missing. It also foregrounds the critical role of clinical documentation as infrastructure for creating learning health systems (LHS) for pediatric rehabilitation settings. Although completeness of discrete data is limited, the results presented do not reflect the quality of care or the extent of unstructured data that providers document in other locations of the electronic health record (EHR) interface. While some may view imputation and natural language processing as means to address missingness of clinical data, these practices carry biases in their interpretations and issues of validity in results. The factors that influence missingness of discrete clinical data are rooted not just in technical structures, but larger professional, system level and unobservable phenomena that shape provider practices of clinical documentation. This work has implications for how we view clinical documentation as critical infrastructure for LHS, future studies of data quality and health outcomes research, and EHR design and implementation. The overall research questions for this dissertation are: 1) To what extent can data networks be leveraged to build classifiers of patient functional performance and physical disability? 2) How can discrete clinical data on gross motor function be used to draw conclusions about clinical documentation practices in the EHR for cerebral palsy? 3) Why does missingness of discrete data in the EHR occur? To address these questions, a three-pronged approach is used to examine data completeness and the factors that influence missingness of discrete clinical data in an exemplar pediatric data learning network will be used. As a use-case, evaluation of EHR data completeness of gross motor function related data, populated by providers from 2015-2019 for children with cerebral palsy (CP), will be completed. Mixed methods research strategies will be used to achieve the dissertation objectives, including developing an expert-informed and standards-based phenotype model of gross motor function data as a task-based mechanism, conducting quantitative descriptive analyses of completeness of discrete data in the EHR, and performing qualitative thematic analyses to elicit and interpret the latent concepts that contribute to missingness of discrete data in the EHR. The clinical data for this dissertation are sourced from the Shriners Hospitals for Children (SHC) Health Outcomes Network (SHOnet), while qualitative data were collected through interviews and field observations of clinical providers across three care sites in the SHC system.PHDHlth Infrastr & Lrng Systs PhDUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue.lib.umich.edu/bitstream/2027.42/162994/1/njkoscie_1.pd