This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
To remediate these care gaps, payers must improve their ability to access data by making significant changes to their health IT infrastructure. The data problem of closing gaps in care. Both begin with understanding the health risks of individuals and cohorts of members. Data access is vital.
The final list of participants represented a range of roles, including data analytics, qualityimprovement, accreditation, quality management and improvement. Each participating organization was asked to identify key stakeholders to participate in the interview process.
Figure 1 displays a consolidated overview of the “Framework for Public Health-Health Care System Collaboration.” Specific examples taken from a variety of states will be examined in greater detail throughout the toolkit. One example is Live Well San Diego.
As a result, services were better aligned and the MCOs referred CYSHCN to the Title V CYSHCN program for care coordination given the program staff’s expertise in serving this population. Leveraging Data and Technology. Aligning measurement, funding, and accountability with care coordination system qualityimprovement efforts.
The mandate of these healthcare networks is clear – to improve patient experiences and populationhealth outcomes while simultaneously reducing costs. Much of patient healthdata management is still largely siloed, even with information available through EHRs.
The use of clinical data to measure health care quality in close to real-time creates new value for health plans, including: More complete, accurate and generally higher quality rates. Improved ability to drive meaningful qualityimprovement programs with better data.
We organize all of the trending information in your field so you don't have to. Join 19,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content