Optimizing healthcare value requires the integration of healthcare sciences, computer science, information science, and cognitive science to assist in the management of healthcare information. The use of informatics is seen in a multitude of processes within the clinical setting. Whether inpatient or outpatient, clinicians and patients utilize online portal systems, electronic medical records, data collection devices such as vital sign machines and glucometers, as well as personal data devices and email, to name a few. When considering these systems and how they affect the process and flow of the clinical setting, it is important to not only consider the technology at hand but also the workflow and the data collection process.
Data analytics helps reintroduce such commonly known science fields as population health, data warehousing, and clinical decision support, applying some of the disciplines and data analysis mechanisms developed for other fields of technology in a clinical setting. Health informatics has a huge potential to once again revolutionize care by providing clinicians with quick and comprehensive access to decision making tools that analyze evidence based knowledge, patient records, and medications databases to produce recommendations and alerts helping more effective on-the-spot decisions leading to further reductions in complications, medical errors, readmissions, mortality, and other measures of quality patient care.