Evidence map›Paper›PMID 27081415›Full record

ArticleApplied clinical informatics2016

A Design Methodology for Medical Processes.

Simona Ferrante, Stefano Bonacina, Giuseppe Pozzi, Francesco Pinciroli, Sara Marceglia

Abstract read
In one paragraph

Article in Applied clinical informatics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
  2. Visual Modeling Languages in Patient Pathways: Scoping Review.Interactive journal of medical research · 2024
    Article
  3. Using Unified Modeling Language to Analyze Business Processes in the Delivery of Child Health Services.International journal of environmental research and public health · 2022
    Article
  4. Article
  5. Modeling a Clinical Pathway for Contraception.Applied clinical informatics · 2019
    Article
  6. Article
  7. Article
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Simona FerranteDipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano , Milano, Italy.
Stefano BonacinaHealth Informatics Centre, Department of Learning, Informatics, Management and Ethics, Karolinska Institutet , Stockholm, Sweden.
Giuseppe PozziDipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano , Milano, Italy.
Francesco PinciroliDipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milano, Italy; Engineering in Health and Wellbeing Research Group at the National Research Council of Italy IEIIT - Istituto di Elettronica e di Ingegneria dell'Informazione e delle Telecomunicazioni, Trieste, Italy.
Sara MarcegliaDipartimento di Ingegneria e Architettura, Università degli Studi di Trieste, Trieste, Italy; Clinical Center for Neurostimulation, Neurotechnology, and Movement Disorders Fondazione IRCCS Ca'Granda Ospedale Maggiore Policlinico, Milano, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHealthcare processes, especially those belonging to the clinical domain, are acknowledged as complex and characterized by the dynamic nature of the diagnosis, the variability of the decisions made by experts driven by their experiences, the local constraints, the patient's needs, the uncertainty of the patient's response, and the indeterminacy of patient's compliance to treatment. Also, the multiple actors involved in patient's care need clear and transparent communication to ensure care coordination.

objectivesIn this paper, we propose a methodology to model healthcare processes in order to break out complexity and provide transparency.

methodsThe model is grounded on a set of requirements that make the healthcare domain unique with respect to other knowledge domains. The modeling methodology is based on three main phases: the study of the environmental context, the conceptual modeling, and the logical modeling.

resultsThe proposed methodology was validated by applying it to the case study of the rehabilitation process of stroke patients in the specific setting of a specialized rehabilitation center. The resulting model was used to define the specifications of a software artifact for the digital administration and collection of assessment tests that was also implemented.

conclusionsDespite being only an example, our case study showed the ability of process modeling to answer the actual needs in healthcare practices. Independently from the medical domain in which the modeling effort is done, the proposed methodology is useful to create high-quality models, and to detect and take into account relevant and tricky situations that can occur during process execution.

Indexed as

Delivery of Health CareHumansMedical InformaticsSoftwareStroke Rehabilitationcomputing methodologiescritical pathwaysHealthcare process modeling and designpatient care managementpatient-centered care

Identifiers

PMID27081415
PMCPMC4817343

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.