This article focuses on the analysis of the admissions to hospital-at-home service within the framework of Business Process Management. While traditional process analysis deal with internal hospital services, having a particular and specific scenario, e.g. a ward of an hospital, here we investigate a quite innovative service with a strong socio-territorial impact based on real data. In particular, we are interested in the understanding of the selection process in which staff discriminate cases of interest for the service. We describe here our methodological framework combining data and event log analysis, modeling with standard language and business process simulation with scenario analysis.

Risk management in business process is a key factor of success for organization as risks are part of every business activity.Errors may bring to increased costs, loss of quality as well as time delays, which in healthcare can bring to serious damages.This paper proposes a methodological framework to investigate risks in organizations by adopting a Business Process Management perspective that includes modeling and simulation of business processes.We applied our methodology to processes in the Blood Bank department of a large hospital.Our results show that a simulation-driven approach is an effective way to intercept and estimate real risks and to provide a decision support to guide the of department's managers.1 Cfr.

The paper describes a specification model, called the Process and Data Net (PDN) model, used as the modeling tool for the M*-OBJECT information system design methodology. The model integrates the representation of static, dynamic, and behavioral aspects of a database application. PDN consists of two components: an object-oriented data model that describes static and behavioral aspects of objects of the system under analysis, and a process model that specifies a way organization activities must be coordinated. The major features of the proposed approach are: 1) the system representation captures all relevant properties from the end-user viewpoint without unnecessary details concerning implementation, 2) complex data structures and data manipulations can be specified, and 3) specifications are executable for rapid prototyping.

M*-OBJECT is a methodology for information system analysis, design and implementation developed for CIM environments. It is based on an object-oriented approach and it covers in-depth analysis of static and dynamic aspects of CIM information systems. M*-OBJECT is made of three major phases: organization analysis, conceptual design, and implementation design. The conceptual design phase is supported by the Process and Data Net (PDN) model which integrates an object-oriented data model and a process model. The major features of the specification approach are: (1) static, dynamic, and behavioral properties of information are fully covered, (2) complex data structures and data manipulations can be specified, and (3) specifications are executable for rapid prototyping.>

A consistent specification of quantitative processing characteristics is of crucial importance in order to obtain an efficient logical and physical database design. In this paper we propose a flow analysis of a Petri net representation of the interaction among operations within an organization function. The result of this analysis is the automa tic derivation of the operation activation frequencies. The project environment to which this analysis is relevant is also described.