Imagine that an innovative health plan - aware that half or more of health care cost is waste and that physician costs to obtain the identical outcome can vary by as much as eight fold - hopes to sweep market share by producing better quality health care for a dramatically lower cost. So it begins to evaluate its vast data stores. It’s goal is to identify the specialists, outpatient services and hospitals within each market that, for episodes of specific high-frequency or high value conditions, consistently produce the best outcomes at the lowest cost. Imagine that, because higher quality is typically produced at lower costs - there are generally fewer complications and lower incidences of revisiting treatment - the health plan will pay high performers more than low performers. Just as importantly, it will limit the network, steering more patients to high performers and away from low performers.
Suddenly, it will become very important for physicians and other providers to understand, in detail, how they compare to their peers within specialty, and how to provide the best care possible. And if they find the results aren’t so positive, they may want to figure out where their deficiencies lie, and how they can improve.
Suddenly, it will become very important for physicians and other providers to understand, in detail, how they compare to their peers within specialty, and how to provide the best care possible. And if they find the results aren’t so positive, they may want to figure out where their deficiencies lie, and how they can improve.