Health care

Analysis of social networks is increasingly incorporated into heath care analytics, not only in epidemological studies but also in models of patient communication and education, disease prevention, mental health diagnosis and treatment, and in the study of health care organizations and systems. Health care analytics is a product category used in the marketing of business software and consulting services. It makes extensive use of data, statistical and qualitative analysis, explanatory and predictive modeling. "Predictive vs. Explanatory Modeling in IS Research", and patient health information to drive medical decision making.[vague] The breadth of digital data available through point-of-care encounters, medical claims, pharmacy claims, lab values, HRAs, genetic markers, and biometrics has resulted in an increase in the capabilities of traditional analytical tools. This data is combined with medical guidelines and patient profiles to reveal contraindicated care, gaps in care, and opportunities for cost savings. John-David Lovelock, Research VP at Gartner, called health care analytics 'the first step in improving the overall efficiency of hospitals.' [edit]Real-time Health Care Analytics Currently the most prevalent application for real-time health care analytics is within Clinical Decision Support (CDS) software. These programs analyze clinical information at the point of care and support health providers as they make prescriptive decisions. These real-time systems are “active knowledge systems, which use two or more items of patient data to generate case-specific advice.” [edit]Batch Health Care Analytics Batch health care analytics is a technical application that retrospectively evaluates population data sets (i.e. records of patients in a large medical system, or claims data from an insured population). These evaluations can be used to supplement disease management or population health management efforts. A benefit of batch health care analytics is the use of "predictive modeling across multiple clinical conditions. This process can identify undiagnosed conditions for patients within an insurer's patient population, or suggest interventions to prevent conditions from developing. Health communication may be defined as "The art and technique of informing, influencing, and motivating individual, institutional, and public audiences about important health issues. The scope of health communication includes disease prevention, health promotion, health care policy, and the business of health care as well as enhancement of the quality of life and health of individuals within the community" – Healthy People 2010, p. 11–20 "An area of theory, research and practice related to understanding and influencing the interdependence of communication (symbolic interaction in the forms of messages and meanings) and health related beliefs, behaviors and outcomes." Cline, R. 2003 "Health communication is a multifaceted and multidisciplinary approach to reach different audiences and share health-related information with the goal of influencing, engaging and supporting individuals, communities, health professionals, special groups, policy makers and the public to champion, introduce, adopt, or sustain a behavior, practice or policy that will ultimately improve health outcomes." Schiavo, R. 2007, p. 7 or the mechanism by which health messages are communicated from experts in the medical and public health fields to the people who can be helped by these messages.