PROCESS MODELING OF THE HEALTH SECTOR USING BPMN: A CASE STUDY

2021 ◽  
Vol 27 (7) ◽  
pp. 650-666
Author(s):  
Xabier Larrucea ◽  
Micha Moffie ◽  
Dan Mor

Since the emergence of GDPR, several industries and sectors are setting informatics solutions for fulfilling these rules. The Health sector is considered a critical sector within the Industry 4.0 because it manages sensitive data, and National Health Services are responsible for managing patients’ data. European NHS are converging to a connected system allowing the exchange of sensitive information cross different countries. This paper defines and implements a set of tools for extending the reference architectural model industry 4.0 for the healthcare sector, which are used for enhancing GDPR compliance. These tools are dealing with data sensitivity and data hiding tools A case study illustrates the use of these tools and how they are integrated with the reference architectural model.


2020 ◽  
Author(s):  
Abhishek Moharana ◽  
Mahabir Prasad Mahapatra ◽  
Subrata Chakraborty ◽  
Debakanta Biswal ◽  
Khushboo Havelia

Author(s):  
Evellin Cardoso ◽  
João Paulo A. Almeida ◽  
Renata S. S. Guizzardi ◽  
Giancarlo Guizzardi

While traditional approaches in business process modeling tend to focus on “how” the business processes are performed (adopting a behavioral description in which business processes are described in terms of procedural aspects), in goal-oriented business process modeling, the proposals strive to extend traditional business process methodologies by providing a dimension of intentionality to business processes. One of the key difficulties in enabling one to model goal-oriented processes concerns the identification or elicitation of goals. This paper reports on a case study conducted in a Brazilian hospital, which obtained several goal models represented in i*/Tropos, each of which correspond to a business process also modeled in the scope of the study. NFR catalogues were helpful in goal elicitation, uncovering goals that did not come up during previous interviews prior to these catalogues’ use.


2019 ◽  
pp. 339-368
Author(s):  
Niamh Darcy ◽  
Sriyanjit Perera ◽  
Grades Stanley ◽  
Susan Rumisha ◽  
Kelvin Assenga ◽  
...  

In 2009, the Tanzanian Ministry of Health, Community Development, Gender, Elderly and Children (MoHCDGEC) counted over 10 different health facility lists managed by donors, government ministries, agencies and implementing partners. These function-specific lists were not integrated or linked. The ministry's Health Sector Strategic Plan included the development of an authoritative source for all health facility information, called the Master Facility List (MFL). During development, the ministry adopted the term Health Facility Registry (HFR), an online tool providing public access to a database about all officially recognized health facilities (public and private). The MFL, which includes the health facility list at any specific point in time can be exported from the HFR. This chapter presents the Tanzanian case study describing the work and lessons learned in building the HFR—focusing on software development, introducing geographic positioning systems and harmonizing MFL data. MoHCDGEC launched the HFR public portal in September 2015.


2021 ◽  
pp. 421-441
Author(s):  
Seema Sahai ◽  
Richa Goel ◽  
Mashiur Rahman ◽  
Sachi Nandan Mohanty

Author(s):  
Cyriaque Rene Sobtafo Nguefack

This qualitative explanatory case study assessed the influence of Official Development Assistance on selected health development indicators in Uganda between 2005 and 2013 by reviewing development partners’ perceptions. Key health indicators included the following: (a) under 5-year-old mortality rates, (b) infant mortality rates, and (c) maternal mortality ratio. Results indicated slow progress in reducing infant mortality and under-5 mortality rates and almost no progress in the maternal mortality ratio despite the disbursement of a yearly average of nearly $400 million USD in the last 7 years to the health sector in Uganda. Five bottlenecks in the influence of development assistance on health indicators were identified: (a) poor governance and accountability framework in the country, (b) ineffective supply chain of health commodities, (c) negative cultural beliefs, (d) insufficient government funding to health care, and (e) insufficient alignment of development assistance to the National Development Plan and noncompliance with the Paris Declaration on Aid Effectiveness.


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