Thomas R. Campion

Challenges, Alternatives, and Paths to Sustainability for Health Information Exchange Efforts

Health information exchange (HIE) is a promising approach to improving the cost and quality of healthcare. We sought to identify the strengths and weaknesses of organizational models to achieve exchange, and what can be done to ensure the sustainability and effectiveness of exchange efforts. We interviewed state and national health informatics policy experts (n = 17). Data were collected as part of an evaluation of the Health Care Efficiency and Affordability Law for New Yorkers (HEAL NY) program and included respondents from both the private and public sectors. Data were analyzed using a general inductive and comparative approach with open coding of themes. Interviewees generally viewed HIE as a public or societal good to be valued. However, they identified challenges with the regional health information organization (RHIO) model of facilitating exchange including: economics, organizational issues, and geography. RHIOs were contrasted against alternative methods of exchange such as Direct, enterprise HIE, and vendor-mediated exchange. HIE is a difficult undertaking due to political and economic reasons. Alternatives to the RHIO model have features that may be more attractive to participants, but may be of less public benefit. Using states as intermediaries and mandating exchange under public health law may avoid the challenges facing exchange efforts. Moving forward, policies will have to address the shortcomings of each HIE model to ensure information is effectively shared between providers to maximize health benefits.

Association between use of a health information exchange system and hospital admissions

OBJECTIVE Relevant patient information is frequently difficult to obtain in emergency department (ED) visits. Improved provider access to previously inaccessible patient information may improve the quality of care and reduce hospital admissions. Health information exchange (HIE) systems enable access to longitudinal, community-wide patient information at the point of care. However, the ability of HIE to avert admissions is not well demonstrated. We sought to determine if HIE system usage is correlated with a reduction in admissions via the ED. METHODS We identified 15,645 adults from New York State with an ED visit during a 6-month period, all of whom consented to have their information accessible in the HIE system, and were continuously enrolled in two area health plans. Using claims we determined if the ED encounter resulted in an admission. We used the HIEs system log files to determine usage during the encounter. We determined the association between HIE system use and the likelihood of admission to the hospital from the ED and potential cost savings. RESULTS The HIE system was accessed during 2.4% of encounters. The odds of an admission were 30% lower when the system was accessed after controlling for confounding (odds ratio = 0.70; 95%C I= 0.52, 0.95). The annual savings in the sample was

Health information exchange system usage patterns in three communities: Practice sites, users, patients, and data

357,000. CONCLUSION These findings suggest that the use of an HIE system may reduce hospitalizations from the ED with resultant cost savings. This is an important outcome given the substantial financial investment in interventions designed to improve provider access to patient information in the US.

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

OBJECTIVES Public and private organizations are implementing systems for query-based health information exchange (HIE), the electronic aggregation of patient data from multiple institutions. However, existing studies of query-based HIE system usage have addressed a limited number of settings. Our goal was to quantify the breadth and depth of usage of a query-based HIE system implemented across multiple communities with diverse care settings and patient populations. METHODS We performed a cross-sectional study in three communities in New York State using system access log files from January 2009 to May 2011 to measure usage patterns of a query-based HIE web portal system with respect to practice sites, users, patients, and data. RESULTS System access occurred from 60% (n=200) of practice sites registered to use the system in Community A, 59% (n=156) in Community B, and 82% (n=28) in Community C. In Communities A and B, users were primarily non-clinical staff in outpatient settings, while in Community C inpatient physicians were the main users. Across communities, proportions of patients whose data were accessed varied with 5% (n=11,263) in Community A, 60% (n=212,586) in Community B, and 1% (n=1107) in Community C. In Community B, users updated patient consent through the HIE portal, whereas in the other communities, users updated patient consent through a separate system. Across communities, users most frequently accessed only patient summary data displayed by default followed by detailed laboratory and radiology data. CONCLUSIONS This study is among the first to illustrate large-scale usage of a query-based HIE system implemented across multiple communities. Patient summary data displayed by default may be an important feature of query-based HIE systems. User role, practice site type, and patient consent workflow may affect patterns of query-based HIE web portal system usage in the communities studied and elsewhere.

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

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.

Changing the research landscape: the New York City Clinical Data Research Network

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.

Increasing blood glucose variability heralds hypoglycemia in the critically ill.

The New York City Clinical Data Research Network (NYC-CDRN), funded by the Patient-Centered Outcomes Research Institute (PCORI), brings together 22 organizations including seven independent health systems to enable patient-centered clinical research, support a national network, and facilitate learning healthcare systems. The NYC-CDRN includes a robust, collaborative governance and organizational infrastructure, which takes advantage of its participants’ experience, expertise, and history of collaboration. The technical design will employ an information model to document and manage the collection and transformation of clinical data, local institutional staging areas to transform and validate data, a centralized data processing facility to aggregate and share data, and use of common standards and tools. We strive to ensure that our project is patient-centered; nurtures collaboration among all stakeholders; develops scalable solutions facilitating growth and connections; chooses simple, elegant solutions wherever possible; and explores ways to streamline the administrative and regulatory approval process across sites.

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

BACKGROUND Control of hyperglycemia improves outcomes, but increases the risk of hypoglycemia. Recent evidence suggests that blood glucose variability (BGV) is more closely associated with mortality than either isolated or mean BG. We hypothesized that differences in BGV over time are associated with hypoglycemia and can be utilized to estimate risk of hypoglycemia (<50 mg/dL). MATERIALS AND METHODS Patients treated with intravenous insulin in the Surgical Intensive Care Unit of a tertiary care center formed the retrospective cohort. Exclusion criteria included death within 24 h of admission. We describe BGV in patients over time and its temporal relationship to hypoglycemic events. The risk of hypoglycemia for each BG measurement was estimated in a multivariable regression model. Predictors were measures of BGV, infusions of dextrose and vasopressors, patient demographics, illness severity, and BG measurements. RESULTS A total of 66,592 BG measurements were collected on 1392 patients. Hypoglycemia occurred in 154 patients (11.1%). Patient BGV fluctuated over time, and increased in the 24 h preceding a hypoglycemic event. In crude and adjusted analyses, higher BGV was positively associated with a hypoglycemia (OR 1.41, P < 0.001). Previous hypoglycemic events and time since previous BG measurement were also positively associated with hypoglycemic events. Severity of illness, vasopressor use, and diabetes were not independently associated with hypoglycemia. CONCLUSIONS BGV increases in the 24 h preceding hypoglycemia, and patients are at increased risk during periods of elevated BG variability. Prospective measurement of variability may identify periods of increased risk for hypoglycemia, and provide an opportunity to mitigate this risk.

Implementing unique device identification in electronic health record systems: organizational, workflow, and technological challenges.

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.

Peers, regulators, and professions: the influence of organizations in intensive insulin therapy adoption.

Background:The United States Food and Drug Administration (FDA) has proposed creating a unique device identification (UDI) system for medical devices to facilitate postmarket surveillance, quality improvement, and other applications. Although a small number of health care institutions have implemented initiatives comparable with the proposed UDI system by capturing data in electronic health record (EHR) systems, it is unknown whether institutions with fewer resources will be able to similarly implement UDI. Objective and Methods:This paper calls attention to organizational, workflow, and technological challenges in UDI system implementation by drawing from the literature on EHR and clinical research systems implementation. Findings:Organizational challenges for UDI system implementation include coordinating multiple stakeholders to define UDI attributes and characteristics for use in EHRs, guiding organizational change within individual institutions for integrating UDI with EHRs, and guiding organizational change for reusing UDI data captured in EHRs. Workflow challenges include capturing UDI data in EHRs using keyboard entry and barcode scanning. Technological challenges involve interfacing UDI data between EHRs and surgical information systems, transforming UDI and related patient data from EHRs for research, and applying data standards to UDI within and beyond EHRs. Discussion and Conclusions:We provide recommendations for regulations, organizational sharing, and professional society engagement to raise awareness of and overcome UDI system implementation challenges. Implementation of the UDI system will require integration of people, process, and technology to achieve benefits envisioned by FDA, including improved postmarket device surveillance and quality of care.