Towards of a Business Intelligence Platform to Portuguese Misericórdias

Coelho, Danilo Santa Cruz; Miranda, J. M.; Portela, Filipe; Machado, José; Santos, Manuel Filipe; Abelha, António

doi:10.1016/j.procs.2016.09.222

Cited by 11 publications

(12 citation statements)

References 7 publications

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“…The infographic guideline was also improvised. The decision-making to implement BI and CRM is important nowadays as previous studies have also emphasized the importance of implementing BI and CRM which would improve the performance of business [13], [14], [30]- [32].…”

Section: Discussionmentioning

confidence: 99%

A Guideline for Decision-making on Business Intelligence and Customer Relationship Management among Clinics

Yusof¹,

Zainuddin²,

Hassan³

et al. 2019

IJACSA

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Business intelligence offers the capability to gain insights and perform better in decision-making by using a particular set of technologies and tools. A company's success to a certain extent depends on customers. The complementary of business intelligence and customer relationship management will improve the efficiency of organizations, hence increase productivity and revenue. Most research works on implementation of business intelligence and customer relationship management in organizations commonly concentrate on architecture, framework, and maturity model. The process on how to implement business intelligence and customer relationship management in an organization, especially in smaller domains has not yet been clarified which make some organizations unclear on how to implement business intelligence and customer relationship management. Thus, this study investigates the process involved in the implementation of business intelligence and customer relationship management among clinics. An infographic guideline was developed based on the six process of data mining which is known as Cross Industry Standard Process for Data Mining. Four elements of business intelligence decision-making process which were gather, store, access, and analyze were also included in the process of developing the guideline. Findings from an expert's review show that the increase of Content Validity Index was 0.7, from 0.3 during the first iteration to 1.0 in the second iteration. Therefore, this result is acceptable. The guideline appears to be a useful instrument for practitioners to implement business intelligence and customer relationship management in their clinics, however the process involved in developing the guideline could be improvised from time to time.

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Section: Discussionmentioning

confidence: 99%

A Guideline for Decision-making on Business Intelligence and Customer Relationship Management among Clinics

Yusof¹,

Zainuddin²,

Hassan³

et al. 2019

IJACSA

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“…1 In Portugal, the electronic medical prescription tool is integrated with the eHR already available to manage the medication path from prescription to dispensing; this is linked to quality monitoring and improvement initiatives relating to patient records. 31 • Cooperation between the private pharmaceutical sector and healthcare systems. This is another critical aspect of the learning healthcare system.…”

Section: Highlighting Best Practicesmentioning

confidence: 99%

Data Rich, Information Poor: Can We Use Electronic Health Records to Create a Learning Healthcare System for Pharmaceuticals?

Eichler¹,

Bloechl-Daum

Broich

et al. 2018

Clin Pharma and Therapeutics

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Judicious use of real-world data (RWD) is expected to make all steps in the development and use of pharmaceuticals more effective and efficient, including research and development, regulatory decision making, health technology assessment, pricing, and reimbursement decisions and treatment. A "learning healthcare system" based on electronic health records and other routinely collected data will be required to harness the full potential of RWD to complement evidence based on randomized controlled trials. We describe and illustrate with examples the growing demand for a learning healthcare system; we contrast the exigencies of an efficient pharmaceutical ecosystem in the future with current deficiencies highlighted in recently published Organisation for Economic Co-operation and Development (OECD) reports; and we reflect on the steps necessary to enable the transition from healthcare data to actionable information. A coordinated effort from all stakeholders and international cooperation will be required to increase the speed of implementation of the learning healthcare system, to everybody's benefit.

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“…Internal and external actors in this industry need data and analytic skills to achieve the best outcomes [4]. Internal actors in HC industry such as doctors, and managers must be able to easily access and utilize "up-to-date information, at the right time and in the right place, every time" to provide better health services and make the best decision cost-effectively.…”

Section: Introductionmentioning

confidence: 99%

“…BI systems lead to improved patients' outcomes and safety, increased revenue, reduced costs and increased efficiency [3][4] [5][6] [7]. The implementation of BI systems becomes an undeniable imperative in the HC industry because it can provide precise information for best decisions [4]. BI potential benefits have placed it as a top priority of the health policy agenda in the world [8].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Business Intelligence Applications in Healthcare Organizations

Mashinchi¹,

Ojo²,

Sullivan³

2019

Proceedings of the Annual Hawaii International Conference on System Sciences

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In today's healthcare (HC) market there are lots of pressures on HC organizations (Os). Besides, many challenges including; demographic changes and the need to manage vastly increasing data volumes in HC, have motivated these organizations to adopt business intelligence (BI) solutions. Through a systematic review of the literature, this study establishes the patterns of BI adoption in the HC domain by examining the nature of BI solutions in use, expected outcomes from BI use, specific types of BI capabilities deployed, and aspects of HCOs directly impacted. Findings from our study provide a foundation for future research agenda on BI in Healthcare. We conclude by highlighting the shortcomings of current BI practice in the HC domain in the context of the emerging value-based (VB) HC delivery model and the need for research in this direction.

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Towards of a Business Intelligence Platform to Portuguese Misericórdias

Cited by 11 publications

References 7 publications

A Guideline for Decision-making on Business Intelligence and Customer Relationship Management among Clinics

A Guideline for Decision-making on Business Intelligence and Customer Relationship Management among Clinics

Data Rich, Information Poor: Can We Use Electronic Health Records to Create a Learning Healthcare System for Pharmaceuticals?

Analysis of Business Intelligence Applications in Healthcare Organizations

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