HEALTH PLAN RATING SYSTEM IMPROVEMENT PROGRAM
Methods and training programs for improving the level of quality of care within a healthcare plan. The methods include obtaining medical data from a population of patients within the plan, storing such data in electronic medical records embodied on a computer readable medium, evaluating at least one metric within the data via a computer capable of interpreting said electronic medical records, and presenting a notification if the metric is found to be below a standard for the metric. The training includes evaluating the healthcare plan's current practices, training the healthcare provider in improved practices, providing a system for recording medical documents, and training the healthcare provider in use of the system.
Not Applicable
STATEMENT RE: FEDERALLY SPONSORED RESEARCH/DEVELOPMENTNot Applicable
BACKGROUNDThe present invention is directed toward improved systems and methods for improving and/or maintaining a high level of performance for healthcare plans. More particularly, the present invention comprises training programs and software systems useful by healthcare plans to improve their Centers for Medicare and Medicaid Services' (CMS) Five-Star Quality Rating.
The Centers for Medicare and Medicaid Services (CMS) rates the relative quality of the private plans that are offered to beneficiaries enrolled in Medicare Advantage programs. CMS rates Medicare Advantage plans on a one to five star scale, with five stars representing the highest quality.
The summary score provides an overall measure of a plan's quality, and is a cumulative indicator of the quality of care, access to care, responsiveness, and beneficiary satisfaction of services provided by the plan.
The ratings are posted on the CMS website to provide beneficiaries with additional information to help them select the best Medicare Advantage plan for them from the plans offered in their service area. The quality rating results are also used by CMS to evaluate a plan's performance and is a method for CMS to reward the high-quality plans for performance excellence. Starting in 2012, the Patient Protection and Affordable Care Act introduces Medicare Advantage bonuses and rebate levels ties to the CMS five-star quality rating. As such, there is a need for healthcare plans to maximize, and maintain, a high quality rating.
CMS defines the star ratings as five stars being excellent performance, four stars being above average performance, three stars being average performance, two stars being below average performance, and one star being poor performance. Healthcare plans receive both a summary score and an overall score. The summary score for Medicare Advantage plans: 1) is used under the health reform law to provide quality-based payments; 2) provides an overall measure of a plan's quality, based on indicators of the quality of care, access to care, responsiveness, beneficiary satisfaction, and customer service; and 3) does not include the plan's Part D (prescription drug plan) ratings. In contrast, the overall score for Medicare Advantage plans differs from the summary score because it combines a plan's summary score with its Part D rating. CMS uses the overall score for the 2011 ratings, and proposes to use the overall score into the future.
The five-star quality scores for Medicare Advantage plans are based on 36 standard performance measures that are derived from four sources: 1) the Healthcare Effectiveness Data and Information Set (HEDIS); 2) the Consumer Assessment of Healthcare Providers and Systems (CAHPS); 3) the Health Outcomes Survey (HOS); and 4) the CMS administrative data, including information about beneficiaries' satisfaction, plans' appeals processes, audit results, and customer service.
Accordingly, there is a need in the art for a program designed to train and support healthcare plans to identify areas of deficiency, thereby finding and driving specific behaviors to improve their star rating and/or to maintain a high star rating.
BRIEF SUMMARYOne aspect of the present invention is directed toward methods of improving the level of quality of care within a healthcare plan. The methods include obtaining medical data from a population of patients within the plan, storing such data in electronic medical records embodied on a computer readable medium, evaluating at least one metric within the data via a computer capable of interpreting said electronic medical records; and presenting a notification if at least one metric is found to be below a standard for the metric. Examples of metrics that may be evaluated include, but are not limited to, whether a disease screening has occurred, whether a vaccination has been administered, and whether a chronic condition is being managed.
Another aspect of the present invention is directed toward methods of training healthcare plans to improve the level of quality of care within the plan. This training includes evaluating the healthcare plan's current practices, training the healthcare provider in improved practices, providing a system for recording medical documents, and training the healthcare provider in use of said system. The system includes a computer readable medium capable of storing medical data obtained from a population of patients, a computer with software capable of evaluating at least one metric of the data stored on the computer readable medium in comparison with a standard for the metric, and a notification system capable of presenting to the user of the system a warning if the metric is found to be below the standard for such metric.
In particular, the training provided may include instructing the healthcare plan to preemptively contact potential at-risk patients.
Yet another aspect of the present invention contemplates a system for recording medical documents. The system includes a computer readable medium capable of storing medical data obtained from a population of patients, a computer with software capable of evaluating at least one metric of the data stored on the computer readable medium in comparison with a standard for the metric, and a notification system capable of presenting to the user of the system a warning if the metric is found to be below the standard for such metric.
For example, the notification system may present a warning if the metric is the percentage of patients within a population receiving a disease screening and the percentage is below a standard assigned for screening the disease, or if patients within a population are determined to be at-risk for medical complications based upon the patients' medical data.
These and other features and advantages of the various embodiments disclosed herein will be better understood with respect to the following description and drawings, in which like numbers refer to like parts throughout, and in which:
The detailed description set forth below is intended as a description of the presently preferred embodiment of the invention, and is not intended to represent the only form in which the present invention may be constructed or utilized. The description sets forth the functions and sequences of steps for constructing and operating the invention. It is to be understood, however, that the same or equivalent functions and sequences may be accomplished by different embodiments and that they are also intended to be encompassed within the scope of the invention.
Referring now to
A written report may be given to the client outlining the team's findings and recommendations that may include staffing requirements, system requirements, and/or a program training and implementation work plan.
The second step 200 includes a comprehensive educational training program. For example, the training program may be offered as a five day class with overhead presentations, case studies, and reference material, with topics including an overview of the Medicare Advantage Part C and Part D Five-Star rating system, improved beneficiary outreach, category and measure details, strategies for improving five-star quality scores, and training on systems for recording medical documents. The training section 200 may include a ninety day post-implementation follow-up with client's staff to evaluate program progress and/or quarterly updates to apprise the client of changes in the CMS Five-Star Quality Rating System.
The third step 300 is providing to the healthcare provider a system for recording medical documents, wherein the system includes at least a computer readable medium capable of storing medical data obtained from patients; a computer with software capable of evaluating the data stored on the computer readable medium; and a notification system capable of compiling the patient medical data and presenting an overall summation of the medical data to the user of the system, thereby indicating steps that may be taken to improve their CMS five-star score. Examples of data to be recorded and information that may be presented by the system are discussed in greater detail below.
In particular, the Affordable Care Act of 2010 mandates that CMS make quality bonus payments (QBPs) to Medicare Advantage (MA) plans that achieve at least four stars in the five-star quality rating system. The star rating scores will be used by CMS to determine if a plan qualifies for bonus payments, as well as being posted on the CMS website to assist beneficiaries in making informed choices when selecting a Medicare Advantage plan. As such, there is a large incentive for healthcare plans to achieve and maintain a high star score.
In order to achieve and maintain a high CMS star score, one must be aware of from where the scores are derived and what steps might be taken to improve the scores. However, for plans offering both Part C and D services, there are total of 9 category areas comprised of 53 individual measures utilized in deriving the score. As such, it can be seen that analyzing and adjusting all of these areas on one's own can be difficult, if not impossible. In particular, for plans covering Part D drug services, the overall score for quality of those services covers 17 different measures in 4 categories: 1) drug plan customer service (including how well the drug plan handles calls and makes decisions about member appeals), 2) drug plan member complaints and Medicare audit findings (including how often members filed a complaint about the drug and findings from Medicare's audit of the plan), 3) member experience with drug plan (including member satisfaction information), and 4) drug pricing and patient safety (including how well the drug plan prices prescriptions and provides updated information on the Medicare website and how often members with certain medical conditions get prescription drugs that are considered safer and clinically recommended for their condition). For Part D coverage, the quality of drug services information comes from the results of Medicare's regular monitoring activities, reviews of billing and other information that plans submit to Medicare, and member surveys conducted by Medicare.
For plans covering Part C health services, the overall score for quality of those services covers 36 different measures in 5 categories: 1) staying healthy as evidenced by screenings, tests, and vaccines (including how often members got various screening tests, vaccines, and other checkups that help them to stay healthy), 2) managing chronic conditions (including how often members with different conditions got certain tests and treatments that help them to manage their condition), 3) ratings of health plan responsiveness and care (including ratings of member satisfaction with the plan), 4) health plan member complaints and appeals (including how often members filed a complaint against the plan), and 5) health plan telephone customer service (including how well the plan handles calls from members). For Part C coverage, the quality of health services information comes from member surveys administered by Medicare, information from clinics, information submitted by the plans, and results from Medicare's regular monitoring activities.
In particular, for Part C coverage, the measures for each category are shown below in Table 1.
As can be seen from reviewing the contents of Table 1, while there are many factors in determining a plan's five-star score, the bulk of the data is derived from Categories 1 and 2 in relation to staying healthy and managing long-term conditions. Thus, one can more readily improve their score by ensuring these measures are at a high level. For example, the second measure in Category 1, i.e., colorectal cancer screening, is measured based upon the percentage of plan members aged 50-75 who have had the appropriate screening for colorectal cancer. One star is given if less than 36% of these plan members have received the appropriate screening, two stars is given if between 36% and 48% of these plan members have received the appropriate screening, three stars is given if between 48% and 58% of these plan members have received the appropriate screening, four stars is given if between 58% and 70% of these plan members have received the appropriate screening, and five stars is given if 70% or more of these plan members have received the appropriate screening. Similar metrics are utilized for the other measures. However, differing methodologies are utilized for calculating the star rating of various measures, including 1) relative distribution and clustering, 2) relative distribution and significance testing, and 3) a standard, relative distribution, and clustering. Furthermore, these measures, ranges, and methodologies for determining scores are subject to change. Accordingly, it can be seen that it can be exceedingly difficult to predict on one's own what changes to be made within a plan will have a significant change in a plan's overall five-star score. Some of the objects of the present invention are to compile the medical data of plan members, analyze the organized data, and present areas of improvement that will likely result in a higher overall five-star score.
The compilation, organization, analysis, and presentation of data is performed by a software platform (herein referred to as iCode, and additionally disclosed in U.S. patent application Ser. No. 13/167,976, titled Hierarchical Condition Categories Program filed on Jun. 24, 2011, the teachings of which are herein incorporated by reference in their entirety).
iCode allows for the enhanced care of Medicare Advantage enrollees, provides valuable information to the caregiver at the point of care, reduces duplicate and costly services by providing a comprehensive clinical history for each patient, and assists with capturing qualifying HEDIS codes.
In particular, iCode is capable of importing data from a caregiver's current medical records, billing files, health plan claim files, and the like. iCode then auto-populates each field from the data import to create new electronic medical records, analyzes the data, and creates reports of the analyzed data. Examples of such reports include, patient demographic information, health plan eligibility history, outstanding tests/procedures affecting performance per HEDIS measurements, summary of reported chronic conditions, list of potential unreported HEDIS measures, list of three year medical history by ICD-9 and CPT classifications, last six months of pharmacy data, and notes and comments. All captured data fields can be output as an iCode report.
Of particular relevance, however, is the ability of iCode to collect and analyze patient records, and further present to the user areas of deficiency that may be corrected to improve a healthcare plan's five-star score. For example, iCode may warn the user that a particular screening test has not been performed on a sufficient number of patients within a given population (for example an age range or gender), thereby providing an avenue for potential improvement that may raise a plan's five-star score.
Similarly, iCode may identify beneficiaries, based upon disease markers, that may be at-risk and would benefit from increased frequency of visits and intensity of services, enrollment in complex care management, chronic care programs, and/or transitional care programs when appropriate—all designed to ensure the best possible clinical outcome for patients and improved efficiency for healthcare plans. Examples of such other programs are described in U.S. Pat. Nos. 7,657,442 and 7,464,041 and U.S. patent application Ser. Nos. 11/352,028 and 12/834,767, the entire teachings of which are collectively incorporated by reference herein. By identifying these potentially at-risk patients, the healthcare plan may preemptively reach out to these beneficiaries thereby more effectively maintaining their health and/or managing their long-term conditions.
Additional modifications and improvements of the present invention may also be apparent to those of ordinary skill in the art. Thus, the particular combinations of parts and steps described and illustrated herein is intended to represent only certain embodiments of the present invention, and is not intended to serve as limitations of alternative devices and methods within the spirit and scope of the invention.
Claims
1. A method of improving the level of quality of care within a healthcare plan comprising:
- (a) obtaining medical data from a population of patients within the plan;
- (b) storing such data obtained in step (a) in electronic medical records embodied on a computer readable medium;
- (c) evaluating at least one metric within said data stored in step (b) via a computer capable of interpreting said electronic medical records; and
- (d) presenting a notification if the at least one metric evaluated in step (c) is found to be below a standard for said metric.
2. The method of claim 1, wherein the at least one metric includes providing a disease screening.
3. The method of claim 1, wherein the at least one metric includes providing a vaccination.
4. The method of claim 1, wherein the at least one metric includes managing a chronic condition.
5. A method of training healthcare plans to improve the level of quality of care within the plan, said method comprising the steps:
- (a) evaluating the healthcare plan's current practices;
- (b) training the healthcare provider in improved practices;
- (c) providing a system for recording medical documents, wherein the system comprises: (i) a computer readable medium capable of storing medical data obtained from a population of patients; (ii) a computer with software capable of evaluating at least one metric of the data stored on the computer readable medium in comparison with a standard for the at least one metric; and (iii) a notification system capable of presenting to the user of the system a warning if the at least one metric is found to be below the standard for such metric; and
- (d) training the healthcare provider in use of said system.
6. The method of claim 5, wherein the training provided in step (b) comprises instructing the healthcare plan to preemptively contact potential at-risk patients.
7. A system for recording medical documents comprising:
- (a) a computer readable medium capable of storing medical data obtained from a population of patients;
- (b) a computer with software capable of evaluating at least one metric of the data stored on the computer readable medium in comparison with a standard for the at least one metric; and
- (c) a notification system capable of presenting to the user of the system a warning if the at least one metric is found to be below the standard for such metric.
8. The system of claim 7, wherein the notification system presents a warning if the metric is the percentage of patients within a population receiving a disease screening and the percentage is below a standard assigned for screening said disease.
9. The system of claim 7, wherein the notification system presents a warning if patients within a population are determined to be at-risk for medical complications based upon the patients' medical data.
Type: Application
Filed: Nov 11, 2011
Publication Date: May 16, 2013
Inventor: DEBRA THESMAN (Garden City, NY)
Application Number: 13/294,381
International Classification: G06Q 50/24 (20120101);
