Medical analysts, information technology (IT) professionals, veteran practitioners, and administrators have been working on new ways of utilizing data to improve service delivery, increase satisfaction for patients and clinicians, and lower costs that are spiraling out of control. The collection and sharing of data have met with limited success. Small facilities do not have the resources to implement new systems and software, large facilities are still struggling with duplication of services, and long-term facilities are still dealing with a nursing shortage.
The Adoption Model for Analytics
While facilities attempt to improve data collection and sharing, the team of professionals across the medical industry have moved on to ways to use analytics of data to reach goals of efficiency and satisfaction. This health analytics adoption model is a guide to systematic sequencing based on groups of analytical capabilities. Basically, the model is about breaking down the concept to focus on key areas to bring about the most needed changes.
The Three “Ps”
The areas of focus include preventative, prescription, and predictive analytics. Preventing conditions before they need to be treated or effect a large number of the population will drive down medical costs. Examining the use and function of prescription drugs and whether they are benefitting the patient has major implications for the excessive amount of pills most people are on today. This one will not sit well with the pharmaceutical companies, but it will begin to eliminate abuses of prescription drugs.
The predictive area is intended to determine what patients may be heading for with their current course of treatment, lifestyle decisions, and family history. It is highly likely, for example, that a thirty-year-old male who is overweight and sedentary with a family history of heart disease will suffer a stroke or heart attack without serious education and intervention. It is always easier to prevent a major health event than it is to treat one after the fact.
This model is complicated and will take time to review and understand. It consists of eight levels each with several steps. Facilities that want to achieve excellent quality in service delivery and lower costs can find extensive information online, at health analytics conferences and summits, in medical journals, and in white papers.