5 research outputs found
Preventive Screenings Gap Analysis
Prepared for:
Alaska Department of Health and Social Services
Division of Public Health
Chronic Disease Prevention and Health Promotion Sectio
Master of Science
thesisThough medical advances in the last century now allow us to forestall death, many patients suffer from significant symptoms as they battle severe disease. Opioid medications are particularly effective when treating pain in these patients and infusion by the patient controlled analgesia (PCA) paradigm is commonly used in patients with severe disease. While PCA allows rapid titration yet individualized adjustment of opioid dose, it involves complex, high-stakes decisions. Unfortunately, clinicians complain that it is often difficult or impossible to find the data needed to make these decisions. A relevant data display could support clinical decisions by providing real-time up-to-date clinical data at the point of care. Literature synthesis and multiple modeling techniques were used to quantify the domain. An inductive, qualitative approach, including graphical mapping techniques, was used to build a foundational domain information model which was subsequently validated using a survey of domain experts. A gap analysis was performed, mapping concepts from the information model to the emerging HL7 FHIR standard. Modeling revealed a complex workflow, highlighted the bottleneck in information flow to providers at the point of care, and supported the premise that a relevant data display would be beneficial. The gap analysis showed that currently existing FHIR resources are capable of representing all relevant concepts from the domain information model needed for decision making in this complex use-case. Potential problems with FHIR implementation were identified and recommendations to address these are presented
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
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An Integrative Review of the Literature on Technology Transformation in Healthcare
Healthcare transformation through technology is a core objective of health reform. It is important for decision makers to understand the likelihood that reform policies will in fact transform. This study evaluates evidence of technology transformation in healthcare through an integrative review of the healthcare and business literature, guided by the theory of punctuated equilibrium (TPE). TPE describes the process of transformation within organizations, markets, and groups. The theory explains transformation as a pattern of long periods of incremental change (equilibrium) punctuated by short periods of dramatic change (revolution). An underlying deep structure defines the environment of the organization, market, or group. Radical change in the deep structure of the environment is necessary for transformational change. This integrative review covered the period January 2004 through April 2012. The inclusion criteria required that the article or study address both the implementation of health information technology in the United States and describe one of the three components of TPE.
Five hundred twenty articles focusing on transformational change were identified through structured database searches of MedLine/PubMed, Business Source Complete, Social Science Research Network, and others. The articles were reviewed, and coded using the three elements of TPE. A directed content analysis of the coded data produced 10 themes describing the three TPE elements: variations in the environment, market complexity, regulation, flawed risk and reward, theories of technology acceptance, barriers, ethical considerations, competition and sustainability, environmental elements of revolution, and internal elements of revolution. The results describe a healthcare market exhibiting strong equilibrium and substantial resistance to change from HIT. Minimal descriptions of the revolutionary element of TPE were evident. The deep structure of healthcare indicates that the historical provider and hospital-centered market prevails. Conditions that might encourage alteration of this deep structure were: empowering and engaging patients; updating care delivery models; and reducing market uncertainty. The revolutionary changes seen in other complex markets from banking to travel to manufacturing relied heavily on the power of the consumer to alter deep structure.
Although the concept of patient centeredness was present in the literature there was little clarity regarding the patient as an agent of structural change. To our knowledge this is the first application of TPE to investigate technology transformation in healthcare. Others have demonstrated TPE as a viable model for explaining transformational change in other markets. The study is limited by the study timeframe and the absence of newer literature reflecting the impact of recent policy changes. Despite this limitation the findings suggest that TPE presents a potentially valuable framework to guide evaluation of the progress of policies that encourage transformation from technology. Some propose that altering the complex deep structure of healthcare may require a complete destruction of existing processes before new processes, innovations, and technologies can emerge. The Affordable Care Act (2010) and the meaningful use provisions of the HITECH Act (2009) are moving healthcare toward new patient centered models of care. Uncertainty around the future of reform policies from possible repeal or amendment likely contributes to resistance to transformational change. This may perpetuate the historical rational and incremental pattern of HIT advancement. Patients as consumers have the potential to influence change given the appropriate tools. The importance of consumers to the transformation process suggests that policies fostering technologies that integrate patients into new care delivery models are likely paramount to realizing technological transformation