The Future Of Business And Clinical Intelligence Essay

Clinical business intelligence is a modular and scalable platform that helps the organizations to seamlessly integrate data from multiple clinical and financial system and address the most critical BI and analytical needs. Physicians use the hospital EHR and other clinical IT applications to make decisions and provide excellent care to the patients but recently the physician practice network deployed new EMR along with a bunch of online e-prescriptions and lab applications. The hospital system relates to a statewide health information exchange. The new kinds of data support the physicians and administrators in making clinical and financial decisions. BI clinical also leverages technology partnerships to give organizations the

With changes due to Healthcare Reform, healthcare organization’s are becoming more competitive in its market as they move towards finding the right effective fit through process improvements for their organization based on quality measurements, operational effectiveness, and financial performance in an effort to maximize their reimbursements in order to protect their margin and stay afloat in the healthcare industry to deliver the most profound care to the patient’s (Amerinet, n.d). Through new organizational architect and design, training, dashboards that helps to make matrix decisions, and big data analytics gathered from the electronic health record system, healthcare organization’s are driven to use the best fit resources and tools to improve their performance and be sustainable and successful in the healthcare market (Amerinet, n.d) (Stichler, 2017).

healthcare organization. We will use business intelligence (BI) system to track and chart the data

With the enforcement of both the Health Information Technology for Economic and Clinical Health Act (HITECH) and the Patient Protection and Affordable Care Act (PPACA), our health care systems have undergone drastic and continuous change in health care policy, regulations, and reforms. This has significantly changed the way our health care organizations have provided medical services to patients, and at the same time meet new health care law requirements. The issue, however, in meeting these reforms lies in ensuring patients receive quality care at an affordable price, and that health care organizations meet these goals through technological improvements with Healthcare Information Technology (HIT). In doing so, health care organizations can not only meet the new health care law requirements, but, at the same time, save financial resources to improve quality standards of care for patients in the present and in the future.

In today’s modernized society, health care organizations rely heavily on information systems. Information technology has improved tremendously over the years, becoming a major advantage to the health care industry. With proper planning, development, and management, information technology can bring about countless efficiency in structural maneuvers. With the constant changes in technology, a health care organization must stay up-to-date on technology and the lasted trends that offer the best patient care possible. Information systems designed for health care industries must help the organization meet the

Hospital information systems were designed primarily for administrative purposes to ensure that all charges were billed and collected correctly [9]. Today application of information technology in Healthcare domain has emerged as a new multi-million dollar industry. Huge investments are being made by many government and private organizations to produce health related tools. Similarly a lot of revenue is being generated by those IT organizations, which are related to healthcare. Top company of 2003 “GE Healthcare” founded in 2000 has annual revenue of $2.7 billion. And the 100th company “MED 3000 Inc.” (Founded in 1985) has $7.3 million annual revenue

I agree that one of the main challenges of implementing BI solutions in the healthcare industry is employing staff that are competent and have skills to deal with BI tools. However, business intelligence is a new concept for most healthcare organizations, thus finding the right resources are definitely going to be a challenge. In addition, Ted Corbett whom has consulting company stated that making sense of stockpile of data and retrieving those would require extensive training and expertise (Briggs, 2013).

The healthcare delivery system has an increased capability for data analysis through the increased adoption of electronic systems. This competency allows one the ability of pulling data, analyzing, and using data appropriately to ensure organizational strength. With support of accompanying data there is increased success in strategic planning, quality improvement and problem solving.

It could consist of patient-related data, data from healthcare devices like monitors and sensors, hospital records, application data measuring health metrics and everything including social media posts, webpages, emergency correspondence, research data from genomics to innovative drugs, advertisement data, newsfeeds and articles in medical journals. As much as there is scope for finding out patterns among these data, it is not easy to implement predictive analytics in healthcare industry because of the limitations like hand-written prescriptions, scanned images and medical records which comprise of unstructured and disintegrated data. Moreover, medical data is involved with legal and privacy issues. The adoption rate of analytics in healthcare industry is quite slow making it more challenging.

Due to the use of uncomplicated information technology systems in healthcare, much of complex care is typically uncoordinated due to which required information is often not available to those who really need it when it is needed. The outcome of this is the gap in good care service that they should have received which is now forgone. In today‘s situation, much of the investments are focused on sectors such as finance and payment related. Out of such case, it is not difficult to guess that focus of investments is mainly on payments and profit margins while actual health care service diminishes. To relate this we can see it in our daily lives. We all can notice that billing systems and business processes of variety of industries are often advanced and up to date while health care systems and such critical areas are often left behind for several hidden and complex reasons.

Artificial intelligence is changing many ways we do things within the healthcare industry. With it, comes improvement of the quality and availability of healthcare services[1]. Many companies and investors have sunk hundreds of millions of dollars into artificial intelligence[2]. With this comes mass amounts of information and data being collected daily. The amount of money and resources being invested into AI is tremendous. There is no surprise that AI is going to revolutionize the medical industry. Changing the way that people look at healthcare for the better.

Unlike the past, where healthcare data has been mostly static, providers, patients, and payers are now relying on real-time analytics to revolutionize healthcare. Through the combination of traditional data with new forms of data, we have entered into an era of open information in the healthcare industry. Stakeholders now have access to new knowledge and information, which has the potential to significantly improve the quality of healthcare delivery, as well as support new research and discoveries. From a historical perspective, the healthcare industry has accumulated a significant amount of data through patient care, record keeping, and compliance and regulatory requirements. This massive amount of complex and diverse data is now known as

America’s healthcare system is arguably one of the largest, most inefficient information enterprises in the world (Hillestad et al., 2005, p. 1108). Health information technology (HIT) has the potential to significantly increase the efficiency and effectiveness of the healthcare sector by helping providers manage information. Equally important, it is a critical intervention designed to improve coordination of care across a fragmented healthcare system. As a result, HIT improves care quality which leads to better patient outcomes.

Managing healthcare data while achieving clinical implementation has many challenges on a national perspective. The use of technology in healthcare organizations has a big impact and effect on these issues that are preventable. I believe this is because the management of data quality is a multifaceted system that can be used to improve the quality of care. Hence, the improvement of healthcare quality, safety, efficiency, and effectiveness will also be able to decrease problems associated with poor-quality of care. Electronic data records in organizations can improve the accessibility of healthcare information and the legibility of records. The opportunity of improving this system is to realize that the implementation of new information technology

Healthcare is changing rapidly and so is the industry’s need for analytics and business intelligence. Many large healthcare organizations have been growing organically and through acquisitions. The rate of growth is so fast that it is nearly impossible to merge processes together. Due to the pressure of the external forces that are transforming healthcare and in the best interest to stay ahead, we have considered Business Intelligence as the forward strategy. Business intelligence technology promises to enable healthcare providers to