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Next-generation long-term transplant clinics: improving resource utilization and the quality of care through health information technology.

ABSTRACT: By the year 2020, potentially one-half a million hematopoietic cell transplant (HCT) recipients will need long-term follow-up care to address not only chronic GvHD but also multiple other late consequences of transplant. Despite this increase in patients, there will not be a concomitant increase in the HCT workforce. Thus, the future of long-term patient management will require a new 'next-generation' clinical model that utilizes technological solutions to make the care of the HCT patient efficient, safe and cost-effective. Guideline-based decision support will be embedded in clinical workflows. Documentation requirements will be reduced as automated data collection from electronic medical records (EMRs) will populate registries and provide feedback for a rapid learning health system. Interoperable EMRs will disseminate treatment protocols to multiple care providers in a distributed long-term clinic model, such that providers outside of the transplant center can provide services closer to the patient. Patients will increase their participatory role through patient portals and mobile devices. At Vanderbilt, we have responded to some of these future challenges by embedding guideline-based decision support, structuring clinical documentation and being early adopters of communication technology. This manuscript describes the current state of some of these innovations, and a vision for the future of the long-term transplant clinic.

SUBMITTER: Rioth MJ

PROVIDER: S-EPMC4915825 | biostudies-literature | 2016 Jan

REPOSITORIES: biostudies-literature

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Next-generation long-term transplant clinics: improving resource utilization and the quality of care through health information technology.

Rioth M J MJ Warner J J Savani B N BN Jagasia M M

Bone marrow transplantation 20150914 1

By the year 2020, potentially one-half a million hematopoietic cell transplant (HCT) recipients will need long-term follow-up care to address not only chronic GvHD but also multiple other late consequences of transplant. Despite this increase in patients, there will not be a concomitant increase in the HCT workforce. Thus, the future of long-term patient management will require a new 'next-generation' clinical model that utilizes technological solutions to make the care of the HCT patient effici ...[more]

PMID: 26367235

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Project description:BackgroundTobacco use, physical inactivity, and poor diet are associated with morbidity and premature death. Health promotion and primary prevention counseling, advice, and support by a primary care provider lead to behavior change attempts among patients. However, although physicians consider preventative health important, there is often a larger focus on symptom presentation, acute care, and medication review.ObjectiveThis study evaluated the feasibility, adoption, and integration of the tablet-based Risk Factor Identification Tool (RFIT) that uses algorithmic information technology to support obtainment of patient risk factor information in primary care clinics.MethodsThis is a pragmatic developmental evaluation. Each clinic developed a site-specific implementation plan adapted to their workflow. The RFIT was implemented in 2 primary care clinics located in Manitoba. Perceptions of 10 clinic staff and 8 primary care clinicians informed this evaluation.ResultsClinicians reported a smooth and fast transfer of RFIT responses to an electronic medical record encounter note. The RFIT was used by 207 patients, with a completion rate of 86%. Clinic staff reported that approximately 3%-5% of patients declined the use of the RFIT or required assistance to use the tablet. Among the 207 patients that used the RFIT, 22 (12.1%) smoked, 39 (21.2%) felt their diet could be improved, 20 (12.0%) reported high alcohol consumption, 103 (56.9%) reported less than 150 minutes of physical activity a week, and 6 (8.2%) patients lived in poverty. Clinicians suggested that although a wide variety of patients were able to use the tablet-based RFIT, implemented surveys should be tailored to patient subgroups.ConclusionsClinicians and clinic staff positively reviewed the use of information technology in primary care. Algorithmic information technology can collect, organize, and synthesize individual health information to inform and tailor primary care counseling to the patients' context and readiness to change. The RFIT is a user-friendly tool that provides an effective method for obtaining risk factor information from patients. It is particularly useful for subsets of patients lacking continuity in the care they receive. When implemented within a context that can support practical interventions to address identified risk factors, the RFIT can inform brief interventions within primary care.

Dataset Information

Next-generation long-term transplant clinics: improving resource utilization and the quality of care through health information technology.

Publications

Next-generation long-term transplant clinics: improving resource utilization and the quality of care through health information technology.

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