Detection of Bottlenecks in Hospital Processes from the XAVIA HIS System using Process Mining

García, Arturo Orellana; Lima, Carlos Davila; Herrera, Ilsen Leon

doi:10.1109/tla.2019.8826690

Cited by 5 publications

(6 citation statements)

References 9 publications

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“…Process mining has been successfully used to map health care processes, clarifying how patients are served as a net effect of activities performed by health care providers. So far, most examples of its use in health care are related to an intrahospital context [17][18][19][20][21][22][23][24][25][26][27]. By automatically generating process maps using factual observations retrieved from data, process mining has important advantages over other modeling techniques that rely on manual observations of the actual system or inspection of documents [17,34].…”

Section: Process Miningmentioning

confidence: 99%

“…Process mining has an advantage over other mapping techniques as it uses factual observations retrieved from data rather than man-made process models. Process mining has been successfully used to analyze health care processes, usually in an intrahospital context [17][18][19][20][21][22][23][24][25][26][27]. However, its application to regional health care networks is new.…”

Section: Introductionmentioning

confidence: 99%

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Identifying Frequent Health Care Users and Care Consumption Patterns: Process Mining of Emergency Medical Services Data

2021

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Background Tracing frequent users of health care services is highly relevant to policymakers and clinicians, enabling them to avoid wasting scarce resources. Data collection on frequent users from all possible health care providers may be cumbersome due to patient privacy, competition, incompatible information systems, and the efforts involved. Objective This study explored the use of a single key source, emergency medical services (EMS) records, to trace and reveal frequent users’ health care consumption patterns. Methods A retrospective study was performed analyzing EMS calls from the province of Drenthe in the Netherlands between 2012 and 2017. Process mining was applied to identify the structure of patient routings (ie, their consecutive visits to hospitals, nursing homes, and EMS). Routings are used to identify and quantify frequent users, recognizing frail elderly users as a focal group. The structure of these routes was analyzed at the patient and group levels, aiming to gain insight into regional coordination issues and workload distributions among health care providers. Results Frail elderly users aged 70 years or more represented over 50% of frequent users, making 4 or more calls per year. Over the period of observation, their annual number and the number of calls increased from 395 to 628 and 2607 to 3615, respectively. Structural analysis based on process mining revealed two categories of frail elderly users: low-complexity patients who need dialysis, radiation therapy, or hyperbaric medicine, involving a few health care providers, and high-complexity patients for whom routings appear chaotic. Conclusions This efficient approach exploits the role of EMS as the unique regional “ferryman,” while the combined use of EMS data and process mining allows for the effective and efficient tracing of frequent users’ utilization of health care services. The approach informs regional policymakers and clinicians by quantifying and detailing frequent user consumption patterns to support subsequent policy adaptations.

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Section: Process Miningmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Identifying Frequent Health Care Users and Care Consumption Patterns: Process Mining of Emergency Medical Services Data

2021

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“…Cabe destacar que, para la implementación de procesos, se ha utilizado el análisis de modos de falla y análisis de efectos (FMEA) con equipos de gestión multidisciplinario para cada proceso y un responsable del subproceso (Orellana, 2020). Otros estudios apelan a la implementación de softwares para el sistema de información hospitalario (XAVIA HIS) desde la perspectiva temporal de la minería de procesos (Orellana et al, 2019). Se observa también el diseño de instrumentos para valorar los niveles de mejora de procesos y se reconoce la aplicación de técnicas como entrevistas, encuestas, herramientas de diagrama de causa-efecto y el método estudios de caso con el objetivo de identificar la limitación en la implementación de procesos hospitalarios (Riaño-Casallas y García-Ubaque, 2016), así como estudios que describen la aplicación de métodos de análisis y síntesis de los conceptos encontrados en la literatura especializada.…”

Section: Resultsunclassified

“…A partir del panorama expuesto, se reconoce la necesidad de aportar al cuerpo teórico de conocimiento, a través de una revisión bibliográfica, para configurar y ofrecer una visión general sobre la implementación de la gestión por procesos en el sector salud, sus beneficios, posibles limitaciones, experiencias significativas de implementación y líneas de investigación futuras. De esta manera, las instituciones de salud pueden disponer de un panorama de referencia que les permita una mejor orientación y coordinación de esfuerzos e inversiones para definir e implantar acciones necesarias, evitando gestiones deficientes que repercutan en el detrimento de sus finanzas, la oferta de salud, el bienestar del usuario (Orellana et al, 2019), así como en la calidad del servicio que el paciente y su familia recibe (Díaz et al, 2022;Gómez-Luna et al, 2014).…”

Section: Introductionunclassified

Aproximación general a la gestión por procesos en los servicios de salud en Latinoamérica: una revisión bibliográfica

Solarte Portilla,

Andrade Sanchez,

Arteaga Diaz

et al. 2024

infpsic

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El mejoramiento de los servicios de salud o sanitarios ha sido configurado, históricamente, desde diversas estrategias; en este sentido, el enfoque por procesos ha representado una metodología relevante utilizada por las Instituciones Prestadoras de Salud (IPS) para las actividades administrativas y asistenciales. Sin embargo, a la fecha, falta mayor claridad frente a su utilización e impacto en Latinoamérica. El objetivo del artículo es identificar el estado actual de la producción bibliográfica relacionada con la gestión por procesos en los servicios de salud en Latinoamérica, a partir de la revisión de artículos publicados en tres bases de datos (SciELO, PubMed Central y Scopus). Esta revisión bibliográfica se realizó utilizando la metodología PRISMA-P, en la que se definieron criterios de inclusión y exclusión para la recolección, sistematización, selección y análisis de los estudios. Finalmente, se revisaron en profundidad 29 artículos. Los resultados resaltan la caracterización de la gestión por procesos, su implementación en hospitales y la evaluación de los mismos. Los estudios son escasos y el aporte al cuerpo teórico es limitado. En esta región, la gestión por procesos ha avanzado especialmente en lo metodológico y normativo, no obstante, se sugiere avanzar en la implementación de softwares, el empoderamiento del talento humano y en metodologías cuantitativas.

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“…The main applications of process mining in healthcare to date as identified by Rojas et al . [ 25 ] have been to effectively manage the flow of hospital patients [ 26 , 27 ], reveal the order of clinical activities [ 27 , 28 ], identify bottlenecks [ 29 , 30 ], identify outliers when compared against a theoretical workflow model [ 31 ], and examine the relationship between resources [ 32 , 33 ]. A recent review by Halawa et al .…”

Section: Introductionmentioning

confidence: 99%

Process mining to discover patterns in patient outcomes in a Psychological Therapies Service

Potts¹,

Bond

Jordan³

et al. 2023

Health Care Manag Sci

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In the mental health sector, Psychological Therapies face numerous challenges including ambiguities over the client and service factors that are linked to unfavourable outcomes. Better understanding of these factors can contribute to effective and efficient use of resources within the Service. In this study, process mining was applied to data from the Northern Health and Social Care Trust Psychological Therapies Service (NHSCT PTS). The aim was to explore how psychological distress severity pre-therapy and attendance factors relate to outcomes and how clinicians can use that information to improve the service. Data included therapy episodes (N = 2,933) from the NHSCT PTS for adults with a range of mental health difficulties. Data were analysed using Define-Measure-Analyse model with process mining. Results found that around 11% of clients had pre-therapy psychological distress scores below the clinical cut-off and thus these individuals were unlikely to significantly improve. Clients with fewer cancelled or missed appointments were more likely to significantly improve post-therapy. Pre-therapy psychological distress scores could be a useful factor to consider at assessment for estimating therapy duration, as those with higher scores typically require more sessions. This study concludes that process mining is useful in health services such as NHSCT PTS to provide information to inform caseload planning, service management and resource allocation, with the potential to improve client’s health outcomes.

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Detection of Bottlenecks in Hospital Processes from the XAVIA HIS System using Process Mining

Cited by 5 publications

References 9 publications

Identifying Frequent Health Care Users and Care Consumption Patterns: Process Mining of Emergency Medical Services Data

Identifying Frequent Health Care Users and Care Consumption Patterns: Process Mining of Emergency Medical Services Data

Aproximación general a la gestión por procesos en los servicios de salud en Latinoamérica: una revisión bibliográfica

Process mining to discover patterns in patient outcomes in a Psychological Therapies Service

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