Hospital-based Business Intelligence System – Today, healthcare facilities produce, process and store more data than ever before. Electronic patient records, financial metrics, industry health statistics, patient satisfaction scores, clinical trial data from pharmaceutical organizations, and insurance information are all data that need to be analyzed on a daily basis.
This is why more and more hospitals are switching to digital healthcare business intelligence tools. The healthcare BI market is projected to exhibit a CAGR of 14.05% by 2027.
Hospital-based Business Intelligence System
The term “business intelligence” was coined way back in 1865, and now, 156 years later, it is difficult to imagine a modern enterprise without a BI system, especially if it often deals with large amounts of digital data.
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The digital BI system plays a key role in the collection, analysis and processing of business information in various fields of activity.
BI includes methods, tools and technologies for transforming various information from various sources into useful and understandable analytics. Based on this data, you can monitor results and make business decisions.
The benefit of such analytics is difficult to overestimate, as it can be applied to the entire company, as well as to its branches, departments, and even to individual products.
In healthcare, BI is one of the most important tools for managing medical data of all kinds: from electronic medical records to unstructured statistics from the Internet or patient information from the IoMT (Internet of Medical Things).
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There are no limits to business intelligence: data collection is possible from both healthcare professionals and external institutions.
Business intelligence enables the hospital, clinic, laboratory and other healthcare institutions to organize the most important categories of data: financial, operational and clinical.
This data becomes the basis for better patient care, better treatment efficiency, cost reduction and rapid accreditation of healthcare services. And all this is possible with the broad digital capabilities of the BI system.
For an ordinary user, for example, a doctor, nurse, medical registrar, laboratory assistant or pharmacist, the principle of a health BI solution looks quite simple and consists of 3 phases:
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In order to use BI, a healthcare worker does not have to have special technical knowledge and skills. With an intuitive interface, you can quickly search for the reports you want and access analytics.
In response to the user’s request, the system generates a dashboard: an information board with grouped data presented in a suitable visual form: tables, charts, graphs and reports.
The special feature of health BI tools is that all displayed data is interactive: the user can view, edit, increase or rebuild it at his own discretion. You can study the results of the research at the macro and micro level in detail, evaluate each indicator individually and monitor the dynamics of changes in a certain period.
Although the system is easy to use, it is based on complex algorithms for processing data and creating advanced analytics.
Pdf) Retracted: Design Of Hospital Operation Management System Based On Business Finance Integration
The business intelligence system integrates external and internal data. It allows hospitals to eliminate 90% of the routine when working with analytical data and creating operational and strategic reports.
Healthcare business intelligence software can be a stand-alone decision-making tool. It integrates with any corporate software, quickly adapts to the needs of private and public institutions and supports all types of analytics.
Healthcare analytics are used to generate reasonable estimates that help a healthcare facility make the right decisions and develop a business strategy. Depending on the type, the analyst can answer the following questions:
Using business analytics, healthcare professionals can gather data and deduce the current state of healthcare facilities and possible developments.
The Big Picture
The world knows many examples of business intelligence in healthcare with impressive results. University of Pittsburgh Medical Center predicts flu season and readmissions;
Colchester Hospital reduced reporting by 177 hours per month, Carilion Clinic identified heart disease risks among 8,500 patients and Keystone significantly reduced accidents.
Therefore, the development and introduction of a BI system is the first step towards increasing the satisfaction of patients/caregivers with the quality of service, reducing health risks and achieving a new level of operational efficiency.
Experienced CTO with a proven track record in the information technology and services industry. Proficient in Scrum, Embedded Software, Object Oriented Design, SQL and Medical Devices.
Data Extraction, Analysis And Presentation In His
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Health System Digital & It Investment Trends
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Reference papers represent the most advanced research with significant potential for major impact in this field. A Feature Paper should be a substantial original article that includes several techniques or approaches, provides an outlook for future research directions, and describes possible applications of the research.
Papers are submitted at the individual invitation or recommendation of scientific editors and must receive positive feedback from reviewers.
Editor’s Choice articles are based on recommendations from scientific journal editors from around the world. The editors select a small number of recently published journal articles that they believe will be of particular interest to readers or important in a particular area of research. The aim is to provide a snapshot of some of the most exciting work published in the various research areas of the journal.
By Serkan TurkeliSerkan Turkeli SciProfiles Scilit Preprints.org Google Scholar 1, 2, * and Fatih OzaydinFatih Ozaydin SciProfiles Scilit Preprints.org Google Scholar 3
Artificial Intelligence In Health Care
Submission received: April 23, 2022 / revised: May 28, 2022 / accepted: May 31, 2022 / published: June 1, 2022
This paper proposes a framework for extracting elements of knowledge management from business systems in healthcare organizations. Based on the results of in-depth interviews with experts in this field, a framework was defined and software for generating log files was developed. After applying the Bag of Words (BoW) method to the 455-day log files for feature extraction, the k-means algorithm was used to cluster the feature vectors. The framework is tested with confirmation prompts. The developed framework successfully grouped the generated reports at the operational, tactical and strategic levels in order to isolate the elements of knowledge management. This study provides evidence for the knowledge management pyramid by revealing that the reports generated are reviewed mostly at the operational level, then at the tactical level, and then least at the strategic level. Our framework has the potential to be used not only in the healthcare sector, but also in banking, insurance and other businesses using business intelligence, especially in line with
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