Hospitals and other health care organizations benefit significantly from employing data analytics tools to create standardized care protocols for patients with common characteristics, such as age and health. While treatment regimens for individual patients would be determined by their physicians, such factors as patient-to-nurse ratios, average length of stay, and follow-up management prove highly adaptable to standardized care models. These methodologies allow hospitals to plan for such issues as staffing, determine average cost of care, and predict revenues.
In fact, researchers recently concluded that using data analytics software promotes care at higher levels because it gives hospital administrators the information necessary to improve surgery schedules, enhance patient experience, decrease costs, and optimize resources such as staff, beds, equipment, and ongoing care. By establishing standardized protocols for patients with relatively similar characteristics, hospitals may be able to lower cost of care for patients, providers, social services, and insurance companies.