Patient Lifecycle Management: An Approach for Clinical Processes

Clinical processes can be described, inside the Biomedical scope, like a systematic guideline to assist practitioner and patient decisions about appropriate health care for specific clinical circumstances. In industry, Product Lifecycle Management (PLM) is the process of managing the entire lifecycle of a product from inception, through engineering design and manufacture, to service and disposal of manufactured products. Applying the concepts of PLM to Biomedical processes we create a synergy between the product’s concept in the industrial case and the patient into the health care environment. This point of view improves the actual clinical processes with a most specific treatment for each patient, by modifying the statements to assist the patient according to the needs of the patient and his illness. This research proposal tries to shift the focus of the eHealth systems onto the patient, adapts the existing and defined clinical processes or clinical paths to the patient’s needs, applies Big Data principles to bring even more attentions for the patient, and provides an easy to use system for the medical staff.Ministerio de Economía y Competitividad TIN2013-46928-C3-3-RMinisterio de Economía y Competitividad TIN2014-52382-

Summary of third annual MCBK public meeting: Mobilizing computable biomedical knowledge—Accelerating the second knowledge revolution

The volume of biomedical knowledge is growing exponentially and much of this knowledge is represented in computer executable formats, such as models, algorithms, and programmatic code. There is a growing need to apply this knowledge to improve health in Learning Health Systems, health delivery organizations, and other settings. However, most organizations do not yet have the infrastructure required to consume and apply computable knowledge, and national policies and standards adoption are not sufficient to ensure that it is discoverable and used safely and fairly, nor is there widespread experience in the process of knowledge implementation as clinical decision support. The Mobilizing Computable Biomedical Knowledge (MCBK) community was formed in 2016 to address these needs. This report summarizes the main outputs of the third annual MCBK public meeting, which was held virtually from June 30 to July 1, 2020 and brought together over 200 participants from various domains to frame and address important dimensions for mobilizing CBK. © 2020 The Authors. Learning Health Systems published by Wiley Periodicals LLC on behalf of the University of Michigan.Open access journalThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at [email protected]

Summary of fourth annual MCBK public meeting: Mobilizing computable biomedical knowledge—metadata and trust

The exponential growth of biomedical knowledge in computable formats challenges organizations to consider mobilizing artifacts in findable, accessible, interoperable, reusable, and trustable (FAIR+T) ways1. There is a growing need to apply biomedical knowledge artifacts to improve health in Learning Health Systems, health delivery organizations, and other settings. However, most organizations lack the infrastructure required to consume and apply computable knowledge, and national policies and standards adoption are insufficient to ensure that it is discoverable and used safely and fairly, nor is there widespread experience in the process of knowledge implementation as clinical decision support. The Mobilizing Computable Biomedical Knowledge (MCBK) community formed in 2016 to address these needs. This report summarizes the main outputs of the Fourth Annual MCBK public meeting, which was held virtually July 20 to July 21, 2021 and convened over 100 participants spanning diverse domains to frame and address important dimensions for mobilizing CBK. © 2021 The Authors. Learning Health Systems published by Wiley Periodicals LLC on behalf of University of Michigan.Open access journalThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at [email protected]