Technological iatrogenesis: the manifestation of inadequate organizational planning and the integration of health information technology.

The Institute of Medicine (IOM) views Health Information Technology (HIT) as an essential organizational prerequisite for the delivery of safe, reliable, and cost-effective health services. However, HIT presents the proverbial double-edged sword in generating solutions to improve system performance while facilitating the genesis of novel iatrogenic problems. Incongruent organizational processes give rise to technological iatrogenesis or the unintended consequences to system integrity and the resulting organizational outcomes potentiated by incongruent organizational-technological interfaces. HIT is a disruptive innovation for health services organizations but remains an overlooked organizational development (OD) concern. Recognizing the technology-organizational misalignments that result from HIT adoption is important for leaders seeking to eliminate sources of system instability. The Health Information Technology Iatrogenesis Model (HITIM) provides leaders with a conceptual framework from which to consider HIT as an instrument for organizational development. Complexity and Diffusion of Innovation theories support the framework that suggests each HIT adoption functions as a technological change agent. As such, leaders need to provide operational oversight to managers undertaking system change via HIT implementation. Traditional risk management tools, such as Failure Mode Effect Analysis and Root Cause Analysis, provide proactive pre- and post-implementation appraisals to verify system stability and to enhance system reliability. Reconsidering the use of these tools within the context of a new framework offers leaders guidance when adopting HIT to achieve performance improvement and better outcomes.

Experiences with electronic health records: early adopters in long-term care facilities.

BACKGROUND: : Electronic health records (EHRs) are becoming a required technology across the health care sector. Long-term care (LTC) facilities have lagged other settings in adopting health information technologies but represent an area where significant care coordination benefits might be realized. Nevertheless, managers face many of the same challenges implementing EHRs that exist in other environments when implementing enterprise-wide systems. PURPOSES: : This study was conducted to provide a description of the early users' experiences with EHRs in LTC facilities. METHODOLOGY: : Semistructured interviews were conducted. The 10 sites were all the "freestanding" LTC facilities using an EHR as of July 2008 in Texas. The interview respondents included administrators, nursing managers, nurses, certified nurse aides, and other system users. Semistructured interviews across multiple stakeholders were used to assess constructs critical to EHR adoption and implementation. FINDINGS: : The LTC facility employees who work with EHR systems on a daily basis were positive about their experiences. In particular, operational improvements were achieved through increased access to resident information, cost avoidance, increased documentation accuracy, and implementation of evidence-based practices. PRACTICE IMPLICATIONS: : Overall, administrators believed that the systems improved care quality and employee satisfaction and were cost effective and that the EHR made a positive return on investment. Electronic documentation led to both increases in charge capture related to resource utilization group documentation, significant savings in pharmacy waste, and reductions in nursing overtime as medical record management became more automated. Quality improvement came from computer-aided monitoring of the certified nurse aide's attendance to residents' activities of daily living.

Assessing differences between physicians' realized and anticipated gains from electronic health record adoption.

Return on investment (ROI) concerns related to Electronic Health Records (EHRs) are a major barrier to the technology's adoption. Physicians generally rely upon early adopters to vet new technologies prior to putting them into widespread use. Therefore, early adopters' experiences with EHRs play a major role in determining future adoption patterns. The paper's purposes are: (1) to map the EHR value streams that define the ROI calculation; and (2) to compare Current Users' and Intended Adopters' perceived value streams to identify similarities, differences and governing constructs. Primary data was collected by the Texas Medical Association, which surveyed 1,772 physicians on their use and perceptions of practice gains from EHR adoption. Using Bayesian Belief Network Modeling, value streams are constructed for both current EHR users and Intended Adopters. Current Users and Intended Adopters differ significantly in their perceptions of the EHR value stream. Intended Adopters' value stream displays complex relationships among the potential gains compared to the simpler, linear relationship that Current Users identified. The Current Users identify "Reduced Medical Records Costs" as the gain that governs the value stream while Intended Adopters believe "Reduced Charge Capture Costs" define the value stream's starting point. Current Users' versus Intended Adopters' assessments of EHR benefits differ significantly and qualitatively from one another.

Resistance is futile: but it is slowing the pace of EHR adoption nonetheless.

OBJECTIVE: The purpose of this study is to reassess the projected rate of Electronic Health Record (EHR) diffusion and examine how the federal government's efforts to promote the use of EHR technology have influenced physicians' willingness to adopt such systems. The study recreates and extends the analyses conducted by Ford et al. (1) The two periods examined come before and after the U.S. Federal Government's concerted activity to promote EHR adoption. DESIGN: Meta-analysis and bass modeling are used to compare EHR diffusion rates for two distinct periods of government activity. Very low levels of government activity to promote EHR diffusion marked the first period, before 2004. In 2004, the President of the United States called for a "Universal EHR Adoption" by 2014 (10 yrs), creating the major wave of activity and increased awareness of how EHRs will impact physicians' practices. MEASUREMENT: EHR adoption parameters--external and internal coefficients of influence--are estimated using bass diffusion models and future adoption rates are projected. RESULTS: Comparing the EHR adoption rates before and after 2004 (2001-2004 and 2001-2007 respectively) indicate the physicians' resistance to adoption has increased during the second period. Based on current levels of adoption, less than half the physicians working in small practices will have implemented an EHR by 2014 (47.3%). CONCLUSIONS: The external forces driving EHR diffusion have grown in importance since 2004 relative to physicians' internal motivation to adopt such systems. Several national forces are likely contributing to the slowing pace of EHR diffusion.

Testing the hospital value proposition: an empirical analysis of efficiency and quality.

PURPOSES: To assess the relationship between hospitals' X-inefficiency levels and overall care quality based on the National Quality Forum's 27 safe practices score and to improve the analytic strategy for assessing X-inefficiency. METHODOLOGY: The 2005 versions of the American Hospital Association and Leapfrog Group's annual surveys were the basis of the study. Additional case mix indices and market variables were drawn from the Centers for Medicare and Medicaid Services data sources and the Area Resource File. Data envelopment analysis was used to determine hospitals' X-inefficiency scores relative to their market-level competitors. Regression was used to assess the relationship between X-inefficiency and quality, controlling for organizational and market characteristics. Expenses (total and labor expenditures), case-mix-adjusted admissions, length of stay, and licensed beds defined the X-inefficiency function. The overall National Quality Forum's safe practice score, health maintenance organization penetration, market share, and teaching status served as independent control variables in the regression. FINDINGS: The National Quality Forum's safe practice scores are significantly and positively correlated to hospital X-inefficiency levels (beta = .105, p < or = .05). The analysis of the value proposition had very good explanatory power (adjusted R(2) = .414; p < or = .001; df = 7, 265). Contrary to earlier findings, health maintenance organization penetration and being a teaching hospital were positively related to X-inefficiency. Similar with others' findings, greater market share and for-profit ownership were negatively associated with X-inefficiency. PRACTICE IMPLICATIONS: Measurement of overall hospital quality is improving but can still be made better. Nevertheless, the National Quality Forum's measure is significantly related to efficiency and could be used to create differential pay-for-performance programs. A market-segmented analytic strategy for studying hospitals' efficiency yields results with a high degree of explanatory power.

Technological iatrogenesis: new risks force heightened management awareness.

Iatrogenesis is a term typically reserved to express the state of ill health or the adverse outcome resulting from a medical intervention, or lack thereof. Three types of iatrogenesis are described in the literature: clinical, social and cultural. This paper introduces a fourth type, technological iatrogenesis, or emerging errors stimulated by the infusion of technological innovations into complex healthcare systems. While health information technologies (HIT) have helped to make healthcare safer, this has also produced contemporary varieties of iatrogenic errors and events. The potential pitfalls of technological innovations and risk management solutions to address these concerns are discussed. Specifically, failure mode effect analysis and root cause analysis are discussed as opportunities for risk managers to prevent problems and avert errors from becoming sentinel events.