Information systems also referred to as IS are organized systems for the collection, organization, storage and communication of information. More specifically, the study of information systems is the study of complementary networks that people and organizations use to collect, filter, process, create and distribute data information systems are the software and hardware systems that support data-intensive applications. There are several types of information systems (such as data warehouses
enterprise resource planning, enterprise systems, expert systems, search engines, geographic information system, global information system. The various types of information systems are used for different purposes. Information Systems in the Healthcare Industry is very important and useful because of the various roles it plays. The use of information Systems in the Healthcare Industry goes way-way back and its current use and future in the industry are dynamic and promising respectively. The importance of Information used in the healthcare sector has not dwindled if anything it has become increasingly needed and critical to clinical care and hospital operation.
Information systems in the healthcare industry have changed a lot over the years but it’s past and present use are not that different. In the preceding decades, the most commonly implemented systems were those designed to automate transactions, either in a clinical or administrative context. An obvious result of more transaction systems installations was the dramatic increase in readily available digitized data. Another focus of hospital information system implementation over the years has been reporting. Reporting systems typically exist as components of transactions systems. Historically, this reporting provided snapshots of information about the hospital to management, the board, or other groups.
As valuable as these reporting systems were, they can’t meet today’s industry analytics requirements. The current focus of healthcare organizations and those who need healthcare IT, out of absolute necessity, is on performance improvement. Essential to this focus is the need for an analytics offering that bridges and merges multiple applications: clinical systems, financial systems, and patient satisfaction systems. Reporting systems embedded in a transaction system clearly cannot do that. Furthermore, analytics requires more than mere reporting; health systems must support the ability to drill down into this comprehensive, merged data to achieve real insight into operational performance.
When it comes to information systems in healthcare, the individual in charge of it in any healthcare organization or hospital is the Chief Information officer (CIO). CIOs help to implement strategies involving information technology and come up with more efficient ways it can benefit the healthcare organization. The healthcare drivers are accountable care organizations (ACOs) and other value-based purchasing initiatives, a need for cost and quality-control systems, and a broadening genomic influence on personal care. The main IT driver is pervasive computing. IT in the industry has broadly implemented EMRs and operational data systems, and, ultimately, these EMRs will have pervasive clinical decision support. Knowledge gained from analyzing an organization’s data in search of performance improvement insights will complete the operational systems cycle by refining the rules essential for successful clinical decision support. These efforts are highly complementary. To handle all of this data, and achieve cost and quality benchmarks, CIOs must implement an enterprise analytics solution. Today’s CIOs are working extremely hard to fulfill their marching orders to install or replace enterprise EMRs and other important transaction systems. In spite of this, they must turn their attention to data warehousing soon. Organizational leadership can’t ignore the many performance improvement successes resulting from effective analytics applications.
In summary, for CIOs to retain their strategic value as chief information officers, they must be actively engaged in a strategy that results in the capture and analysis of comprehensive data, which enables the health system to become an organization that is constantly improving and learning.