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R. Wilson



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    EP02 - e-Poster Session 2 (ID 53)

    • Event: e-Health 2018 Virtual Meeting
    • Type: e-Poster Session
    • Track: Clinical Delivery
    • Presentations: 1
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      EP02.01 - Individual and Organizational Factors Influencing Successful Adoption of eHealth Solutions (ID 50)

      R. Wilson, Registered Nurses' Association of Ontario; Toronto/CA

      • Abstract
      • Slides

      Purpose/Objectives: Healthcare organizations across the globe have made large financial investments in the implementation of eHealth solutions. Many have not achieved the intended benefits. A plethora of reasons have been identified including the complexity inherent in these undertakings, sub-optimal leadership and staff with limited informatics knowledge and skills. Evidence-based resources are required to adequately prepare healthcare leaders, clinicians and others to effectively lead and support these initiatives. Yet, there is a paucity of such resources. This presentation reviews the results of one of three systematic reviews that were conducted to inform the development of a best practice guideline intended to enhance the informatics capacity of individuals involved in these types of initiatives. This systematic review identified individual and organizational factors that influence the implementation and adoption of eHealth solutions.

      Methodology/Approach: Major medical databases were searched to identify relevant studies published between 2006 and 2016. A total of 178 studies met the search criteria. The data was categorized using the dimensions of the Clinical Adoption Framework and analyzed to determine the quality, consistency, generalizability and limitations of the evidence, making this the first comprehensive systematic review of its kind.

      Finding/Results: A total of 173 factors were identified from the 16 articles that met the inclusion criteria. The two most commonly reported individual factors that impacted the implementation of eHealth solutions were technical competence and end-user participation. The organizational factors reported most often were training, usability and workflow integration. Fifteen individual/organizational recommendations were developed from these sources of evidence and published in the Guideline.

      Conclusion/Implications/Recommendations: The individual/organizational factors and recommendations reviewed in this presentation will have relevance for healthcare leaders, clinicians and others who are involved in the implementation of an eHealth solution regardless of their role or setting. The recommendations outline evidence-based strategies that contribute to better design and adoption of eHealth solutions, enhanced clinical decision making, improved patient outcomes and health system transformation.

      140 Character Summary: This presentation highlights key individual/organizational factors derived from a systematic review intended to enhance the adoption of eHealth solutions.

      Only Active Members that have purchased this event or have registered via an access code will be able to view this content. To view this presentation, please login or select "Add to Cart" and proceed to checkout.

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    OS13 - Delivering the Benefits of Digital Healthcare (ID 50)

    • Event: e-Health 2018 Virtual Meeting
    • Type: Oral Session
    • Track: Executive
    • Presentations: 1
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      OS13.04 - Measuring Individual and Organizational Transformation: An eHealth Adoption Maturity Model (ID 54)

      R. Wilson, Registered Nurses' Association of Ontario; Toronto/CA

      • Abstract
      • Slides

      Purpose/Objectives: Individual and organizational transformation are important goals of large scale eHealth solution implementation projects. Yet, these goals are often not realized because these projects are inherently complex with failure rates as high as 70 percent internationally. Successful implementations require strong leadership and ongoing monitoring and evaluation of key indicators. The eHealth Adoption Maturity Model is a conceptual model developed by a panel of experts to guide this process. The Model identifies indicators for individuals with varying degrees of involvement in the implementation as well as indicators in the practice environment and the broader organizational context. This presentation provides an overview of the Model and the three levels of eHealth adoption that can be used to measure individual and organizational transformation.

      Methodology/Approach: The Model emerged as a by-product of the collaborative work of a panel of international experts which was convened in January 2016 to develop a best practice guideline intended to enhance the informatics capacity of individuals involved in the implementation of an eHealth solution. The Panel included patient partners, health care executives, nurses, and other health professionals from various settings. Several panel members played key roles in eHealth solution implementations that resulted in their organizations attaining Stage 6 or higher on the HIMSS Analytics Electronic Medical Record Adoption Model. The Guideline development process included a systematic review of the peer-reviewed literature from 2006–2016 to identify the best available evidence to formulate recommendations. The panel developed the eHealth Adoption Maturity Model as a conceptual model comprised of key elements (and corresponding measurement indicators), each of which was aligned with one or more of the Guideline recommendations.

      Finding/Results: The eHealth Adoption Maturity Model identifies several elements that are thought to impact the overall individual and organizational transformation process: management and leadership; focus on stakeholders; process and infrastructure; education; resources; and the context and environment. The Model demonstrates that as organizations and individuals progressively mature through their adoption of an eHealth solution, some elements may evolve faster than others. This lack of uniformity in the rate of maturity can persist to the end of the formalized transformation process. For each of the Model elements, generic eHealth adoption and maturity characteristics were identified and categorized along a continuum ranging from Level 0 (Beginning) to Level 2 (Advanced) to facilitate the measurement of individual and organizational transformation over time.

      Conclusion/Implications/Recommendations: The eHealth Adoption Maturity Model is generic in scope with broad and practical application across all sectors. Health care leaders, nurses, and other health professionals involved in the implementation of an eHealth solution can examine the level of transformation in themselves and their organizations in light of the Model elements and associated indicators. Users of the Model can focus on the strengths and barriers that each element identifies in their specific context. Those areas in need of further transformation should be noted and a plan developed to advance the process. In this sense, the Model may be used as a driving force for sustained change.

      140 Character Summary: This presentation provides an overview of an eHealth adoption maturity model, which can be used to measure individual and organizational transformation.

      Only Active Members that have purchased this event or have registered via an access code will be able to view this content. To view this presentation, please login or select "Add to Cart" and proceed to checkout.