Information Technology and Medical Missteps: Evidence from a Randomized Trial

We analyze the effect of a decision support tool designed to help physicians detect and correct medical "missteps". The data comes from a randomized trial of the technology on a population of commercial HMO patients. The key findings are that the new information technology lowers average charges by 6% relative to the control group. This reduction in resource utilization was the result of reduced in-patient charges (and associated professional charges) for the most costly patients. The rate at which identified issues were resolved was generally higher in the study group than in the control group, suggesting the possibility of improvements in care quality along measured dimensions and enhanced diffusion of new protocols based on new clinical evidence.

COVID-19 Clinical Guidance For the Cardiovascular Care Team

COVID-19 is a quickly evolving public health emergency. The guidance provided in this document is based on the best available published information and expert evaluation. This document is intended to supplement, not supersede, relevant guidance from the Centers for Disease Control and Prevention, state and local health authorities, and your institution’s infectious disease containment, mitigation, and response plan

Information technology and medical missteps: Evidence from a randomized trial

We analyze the effect of a decision support tool designed to help physicians detect and correct medical "missteps". The data comes from a randomized trial of the technology on a population of commercial HMO patients. The key findings are that the new information technology lowers average charges by 6% relative to the control group. This reduction in resource utilization was the result of reduced in-patient charges (and associated professional charges) for the most costly patients. The rate at which identified issues were resolved was generally higher in the study group than in the control group, suggesting the possibility of improvements in care quality along measured dimensions and enhanced diffusion of new protocols based on new clinical evidence.

Payer-provider collaboration in accountable care reduced use and improved quality in Maine Medicare Advantage plan.

Patient-centered, accountable care has garnered increased attention with the passage of the Affordable Care Act and new Medicare regulations. This case study examines a care model jointly developed by a provider and a payer that approximates an accountable care organization for a Medicare Advantage population. The collaboration between Aetna and NovaHealth, an independent physician association based in Portland, Maine, focused on shared data, financial incentives, and care management to improve health outcomes for approximately 750 Medicare Advantage members. The patient population in the pilot program had 50 percent fewer hospital days per 1,000 patients, 45 percent fewer admissions, and 56 percent fewer readmissions than statewide unmanaged Medicare populations. NovaHealth\u27s total per member per month costs across all cost categories for its Aetna Medicare Advantage members were 16.5 percent to 33 percent lower than costs for members not in this provider organization. Clinical quality metrics for diabetes, ischemic vascular disease, annual office visits, and postdischarge follow-up for patients in the program were consistently high. The experience of developing and implementing this collaborative care model suggests that several components are key, including robust data sharing and information systems that support it, analytical support, care management and coordination, and joint strategic planning with close provider-payer collaboration