Nancy M. Lorenzi

Anticipating and addressing the unintended consequences of health IT and policy: a report from the AMIA 2009 Health Policy Meeting

Federal legislation (Health Information Technology for Economic and Clinical Health (HITECH) Act) has provided funds to support an unprecedented increase in health information technology (HIT) adoption for healthcare provider organizations and professionals throughout the U.S. While recognizing the promise that widespread HIT adoption and meaningful use can bring to efforts to improve the quality, safety, and efficiency of healthcare, the American Medical Informatics Association devoted its 2009 Annual Health Policy Meeting to consideration of unanticipated consequences that could result with the increased implementation of HIT. Conference participants focused on possible unintended and unanticipated, as well as undesirable, consequences of HIT implementation. They employed an input-output model to guide discussion on occurrence of these consequences in four domains: technical, human/cognitive, organizational, and fiscal/policy and regulation. The authors outline the conferences recommendations: (1) an enhanced research agenda to guide study into the causes, manifestations, and mitigation of unintended consequences resulting from HIT implementations; (2) creation of a framework to promote sharing of HIT implementation experiences and the development of best practices that minimize unintended consequences; and (3) recognition of the key role of the Federal Government in providing leadership and oversight in analyzing the effects of HIT-related implementations and policies.

Describing and Modeling Workflow and Information Flow in Chronic Disease Care

OBJECTIVES The goal of the study was to develop an in-depth understanding of work practices, workflow, and information flow in chronic disease care, to facilitate development of context-appropriate informatics tools. DESIGN The study was conducted over a 10-month period in three ambulatory clinics providing chronic disease care. The authors iteratively collected data using direct observation and semi-structured interviews. MEASUREMENTS The authors observed all aspects of care in three different chronic disease clinics for over 150 hours, including 157 patient-provider interactions. Observation focused on interactions among people, processes, and technology. Observation data were analyzed through an open coding approach. The authors then developed models of workflow and information flow using Hierarchical Task Analysis and Soft Systems Methodology. The authors also conducted nine semi-structured interviews to confirm and refine the models. RESULTS The study had three primary outcomes: models of workflow for each clinic, models of information flow for each clinic, and an in-depth description of work practices and the role of health information technology (HIT) in the clinics. The authors identified gaps between the existing HIT functionality and the needs of chronic disease providers. CONCLUSIONS In response to the analysis of workflow and information flow, the authors developed ten guidelines for design of HIT to support chronic disease care, including recommendations to pursue modular approaches to design that would support disease-specific needs. The study demonstrates the importance of evaluating workflow and information flow in HIT design and implementation.

Health information exchange usage in emergency departments and clinics: the who, what, and why

OBJECTIVE Health information exchange (HIE) systems are being developed across the nation. Understanding approaches taken by existing successful exchanges can help new exchange efforts determine goals and plan implementations. The goal of this study was to explore characteristics of use and users of a successful regional HIE. DESIGN We used a mixed-method analysis, consisting of cross-sectional audit log data, semi-structured interviews, and direct observation in a sample of emergency departments and ambulatory safety net clinics actively using HIE. For each site, we measured overall usage trends, user logon statistics, and data types accessed by users. We also assessed reasons for use and outcomes of use. RESULTS Overall, users accessed HIE for 6.8% of all encounters, with higher rates of access for repeat visits, for patients with comorbidities, for patients known to have data in the exchange, and at sites providing HIE access to both nurses and physicians. Discharge summaries and test reports were the most frequently accessed data in the exchange. Providers consistently noted retrieving additional history, preventing repeat tests, comparing new results to retrieved results, and avoiding hospitalizations as a consequence of HIE access. CONCLUSION HIE use in emergency departments and ambulatory clinics was focused on patients where missing information was believed to be present in the exchange and was related to factors including the roles of people with access, the setting, and other site-specific issues that impacted the overall breadth of routine system use. These data should form an important foundation as other sites embark upon HIE implementation.

Mediating the intersections of organizational routines during the introduction of a health IT system.

Public interest in the quality and safety of health care has spurred examination of specific organizational routines believed to yield risk in health care work. Medication administration routines, in particular, have been the subject of numerous improvement projects involving information technology development, and other forms of research and regulation. This study draws from ethnographic observation to examine how the common routine of medication administration intersects with other organizational routines, and why understanding such intersections is important. We present three cases describing intersections between medication administration and other routines, including a pharmacy routine, medication administration on the next shift and management reporting. We found that each intersection had ostensive and performative dimensions; and furthermore, that IT-enabled changes to one routine led to unintended consequences in its intersection with others, resulting in misalignment of ostensive and performative aspects of the intersection. Our analysis focused on the activities of a group of nurses who provide technology use mediation (TUM) before and after the rollout of a new health IT system. This research offers new insights on the intersection of organizational routines, demonstrates the value of analyzing TUM activities to better understand the relationship between IT introduction and changes in routines, and has practical implications for the implementation of technology in complex practice settings.

Generating Clinical Notes for Electronic Health Record Systems

Clinical notes summarize interactions that occur between patients and healthcare providers. With adoption of electronic health record (EHR) and computer-based documentation (CBD) systems, there is a growing emphasis on structuring clinical notes to support reusing data for subsequent tasks. However, clinical documentation remains one of the most challenging areas for EHR system development and adoption. The current manuscript describes the Vanderbilt experience with implementing clinical documentation with an EHR system. Based on their experience rolling out an EHR system that supports multiple methods for clinical documentation, the authors recommend that documentation method selection be made on the basis of clinical workflow, note content standards and usability considerations, rather than on a theoretical need for structured data.

Social, organizational, and contextual characteristics of clinical decision support systems for intensive insulin therapy: A literature review and case study

INTRODUCTION Evaluations of computerized clinical decision support systems (CDSS) typically focus on clinical performance changes and do not include social, organizational, and contextual characteristics explaining use and effectiveness. Studies of CDSS for intensive insulin therapy (IIT) are no exception, and the literature lacks an understanding of effective computer-based IIT implementation and operation. RESULTS This paper presents (1) a literature review of computer-based IIT evaluations through the lens of institutional theory, a discipline from sociology and organization studies, to demonstrate the inconsistent reporting of workflow and care process execution and (2) a single-site case study to illustrate how computer-based IIT requires substantial organizational change and creates additional complexity with unintended consequences including error. DISCUSSION Computer-based IIT requires organizational commitment and attention to site-specific technology, workflow, and care processes to achieve intensive insulin therapy goals. The complex interaction between clinicians, blood glucose testing devices, and CDSS may contribute to workflow inefficiency and error. Evaluations rarely focus on the perspective of nurses, the primary users of computer-based IIT whose knowledge can potentially lead to process and care improvements. CONCLUSION This paper addresses a gap in the literature concerning the social, organizational, and contextual characteristics of CDSS in general and for intensive insulin therapy specifically. Additionally, this paper identifies areas for future research to define optimal computer-based IIT process execution: the frequency and effect of manual data entry error of blood glucose values, the frequency and effect of nurse overrides of CDSS insulin dosing recommendations, and comprehensive ethnographic study of CDSS for IIT.

Barriers and facilitators to the use of computer-based intensive insulin therapy

PURPOSE Computerized clinical decision support systems (CDSSs) for intensive insulin therapy (IIT) are increasingly common. However, recent studies question IITs safety and mortality benefit. Researchers have identified factors influencing IIT performance, but little is known about how workflow affects computer-based IIT. We used ethnographic methods to evaluate IIT CDSS with respect to other clinical information systems and care processes. METHODS We conducted direct observation of and unstructured interviews with nurses using IIT CDSS in the surgical and trauma intensive care units at an academic medical center. We observed 49h of intensive care unit workflow including 49 instances of nurses using IIT CDSS embedded in a provider order entry system. Observations focused on the interaction of people, process, and technology. By analyzing qualitative field note data through an inductive approach, we identified barriers and facilitators to IIT CDSS use. RESULTS Barriers included (1) workload tradeoffs between computer system use and direct patient care, especially related to electronic nursing documentation, (2) lack of IIT CDSS protocol reminders, (3) inaccurate user interface design assumptions, and (4) potential for error in operating medical devices. Facilitators included (1) nurse trust in IIT CDSS combined with clinical judgment, (2) nurse resilience, and (3) paper serving as an intermediary between patient bedside and IIT CDSS. CONCLUSION This analysis revealed sociotechnical interactions affecting IIT CDSS that previous studies have not addressed. These issues may influence protocol performance at other institutions. Findings have implications for IIT CDSS user interface design and alerts, and may contribute to nascent general CDSS theory.

US and Scottish Health Professionals' Attitudes toward DNA Biobanking

BACKGROUND The authors define a DNA biobank as a repository of genetic information correlated with patient medical records. DNA biobanks may assist in the research and identification of genetic factors influencing disease and drug interactions, but may raise ethical issues. How healthcare providers perceive DNA biobanks is unknown. OBJECTIVES To determine how useful healthcare professionals believe DNA biobanks will be and whether these attitudes differ between private and socialized healthcare systems. DESIGN The authors surveyed 200 healthcare professionals, including research and non-research focused doctors, nurses and other staff from medical centers and independent practice in both the United States and Scotland. The survey included fifteen items evaluated for general receptiveness toward biobanks, presumed usefulness of biobanks and perceived attitudes in recruiting patients for a biobank. MEASUREMENTS A total of 81 (45%) of 179 eligible participants responded: 41 from the U.S. and 40 from Scotland. Of these respondents, most (70%) were from academic centers. RESULTS Results indicate that there is a broadly favorable attitude in both locations toward the creation of a DNA biobank (83%) and its perceived benefit (75%). This enthusiasm is tempered in Scotland when respondents evaluated their comfort in consenting patients for entry into a biobank; 16 of 40 respondents (40%) were uncomfortable doing so, representing a significant difference from those in the U.S. (p=0.001). CONCLUSIONS Despite systematic differences in healthcare practice between the U.S. and Scotland, health care professionals in both nations believe DNA biobanks will be useful in curing disease. This finding appears to support further development of such a research tool.

Interactive systems for patient-centered care to enhance patient engagement

In today’s society, most people are both consumers of information technology and of health care. Virtually every person has consumed health care and will consume more as one ages. Moreover, 84% of US households own a computer,1 and 64% of adults own a smartphone.2 We carry pocket-sized devices that connect us to people around the world and vast stores of information. With these technologies, we manage our lives from mundane activities like reading, checking the weather, making to-do lists, and buying books and clothes, to more complex tasks such as learning, managing finances, shopping for houses, and maintaining ties with friends and family around the world. With such diverse and powerful technologies at our fingertips and myriad societal-level health care challenges in cost, quality, and outcome, it is tantalizing to imagine all of the ways that health information technologies (health IT) can be used to enhance people’s health and societies’ health care delivery. Patient-centered care respects and responds to individual differences in patient preferences, needs, and values.3 To respond to such differences and achieve patient-centered care, patients and health care professionals must engage in constant communication. In recent years, researchers have examined a number of ostensibly patient-oriented technologies that could enhance such communication, including patient portals, personal health records (PHRs), and mobile health (mHealth) applications. Furthermore, it is not difficult to conceptualize pathways through which such information systems might improve communication between patients and clinicians, create more patient-centered care, and help achieve the triple aim of better experiences of care, better population health, and lower health care costs.3 Yet, practically, these enticing tools and outcomes are far from reality. There is scant evidence that patients frequently or effectively access and use information systems that engage them and improve patient-centered care delivery. For example, patients generally have …

Evaluation of Computerized Free Text Sign-Out Notes Baseline Understanding and Recommendations

BACKGROUND: Standardization of sign-out, the transfer of patient information and responsibility between inpatient providers at shift change, is a Joint Commission National Patient Safety Goal intended to improve communication and reduce risk of error. Computerized systems with free text data entry and limited structure allow clinicians to generate sign-out notes in a variety of ways. OBJECTIVES: The literature lacks a systematic exploration of the range of content generated by users of computerized sign-out systems. The goal of this study was to determine if and how clinicians record standardized sign-out information using a system with free text data entry and limited structure. METHODS: Using qualitative methods, we reviewed free text sign-out notes for 730 patient cases across 39 hospital units at an academic medical center. RESULTS: Two categories of information expression emerged from analysis: patient treatment-comprised of patient summaries, awareness items, and action items-and care team coordination-consisting of discharge information, contact information, and social concerns. A third category describing the format of sign-out note content, presentation of information, also emerged. Location and structure of information varied, but sign-out note content for some hospital units exhibited specific characteristics and was relatively standardized. CONCLUSIONS: Findings provide a baseline understanding of computerized free text sign-out note content. Sign-out notes contained a synthesis of data from disparate sources. We recommend formalizing existing unit-specific content standardization and system use patterns to reduce sign-out note variability and improve communication.