The Master Patient Index identifies patients across separate clinical, financial and administrative systems and is needed for information exchange to consolidate the patient list from the various RPMS databases. The MPI contains records for all the patients from all of the IHS facilities.
They are supplied by RPMS in HL7 messages. Each facility record belongs to an enterprise record, which is created by the MPI. Two facility records that represent the same real-life person belong to the same enterprise record. An enterprise record contains its own set of patient demographics called the Single Best Record, which is calculated from the demographics data of its facility records.
The MPI generates a unique patient ID, called an EUID, for each enterprise record. The MPI Enterprise Record consists of one or more facility records. The best demographic information for the patient will be used to create the Single Best Record.
What is the MPI and why is it important?
Master Patient Index (MPI) – HIM Standard The computer-based patient record system is supported by the organization-wide master patient index or other resident identification mediation service that ensures accurate and timely resident identification.
The master patient index (MPI) is a valuable reference for basic demographic information and resident activity (i.e. admission and discharge dates) within one source. The MPI is an index maintained separately from the resident’s medical record. It is used to identify that a resident had a stay in the facility, the dates of the stay and other important data in an easily retrievable format (i.e.
alphabetically or through name searches).
What does MPI include?
Benefits of the message passing interface – The message passing interface provides the following benefits:
Standardization. MPI has replaced other message passing libraries, becoming a generally accepted industry standard. Developed by a broad committee. Although MPI may not be an official standard, it’s still a general standard created by a committee of vendors, implementors and users. Portability. MPI has been implemented for many distributed memory architectures, meaning users don’t need to modify source code when porting applications over to different platforms that are supported by the MPI standard. Speed. Implementation is typically optimized for the hardware the MPI runs on. Vendor implementations may also be optimized for native hardware features. Functionality. MPI is designed for high performance on massively parallel machines and clusters. The basic MPI-1 implementation has more than 100 defined routines.
Some organizations are also able to offload MPI to make their programming models and libraries faster.
How does a MPI work?
The Message Passing Interface (MPI) is an Application Program Interface that defines a model of parallel computing where each parallel process has its own local memory, and data must be explicitly shared by passing messages between processes. Using MPI allows programs to scale beyond the processors and shared memory of a single compute server, to the distributed memory and processors of multiple compute servers combined together.
What is the goal of an MPI?
1.9 Goals and scope of MPI 1 Getting Started MPI’s prime goals are:
To provide source-code portability To allow efficient implementation across a range of architectures
It also offers:
A great deal of functionality Support for heterogeneous parallel architectures
Deliberately outside the scope of MPI is any explicit support for:
Initial loading of processes onto processors Spawning of processes during execution Debugging Parallel I/O
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What are the 3 components of an MPI?
Each MPI contains three elements: a language function (e.g., describe, justify), an example topic (e.g., weather, human populations), and a form of support through level 4 (e.g., pictures or illustrations, working in small groups).
What does MPI mean in medical trauma?
Stress/Rest Myocardial Perfusion Imaging (MPI)
A Stress/Rest Myocardial Perfusion Imaging (MPI) Study is a type of stress test that uses PET or SPECT imaging of a patient’s heart before and after exercise to determine the effect of physical stress on the flow of blood through the coronary arteries and the heart muscle.The three-dimensional images produced by this study are called perfusion images because they show which areas of the heart muscle are perfused, or supplied, with blood.The stress/rest MPI may also be referred to as a cardiac or nuclear stress test, a thallium scan or a sestamibi cardiac scan.A physician may perform a Stress/Rest MPI study to:
assess the overall function of the heart muscle heart and the function of individual muscle walls assess damage to the heart muscle following a heart attack diagnose symptoms of coronary artery disease(CAD), such as shortness of breath or chest pain. Abnormal perfusion scans are highly indicative of CAD determine the extent of coronary stenosis, a narrowing of arteries that supply blood to the heart determine whether a patient is a candidate for revascularization, a surgical procedure that restores blood flow manage the treatment of coronary artery disease by evaluating the results of:
revascularization procedures medical or drug therapy.
How is a Stress/Rest MPI Study Performed? For the exercise portion of the test, the patient is asked to walk or run on a treadmill in order to elevate the heart to its peak rate. Patients who are unable to exercise are given a drug that elevates the heart rate (called a pharmacologically induced stress test).
- The patient’s heart rate and blood pressure are monitored during this phase of the test.
- The patient then receives an intravenous injection of a radiotracer called thallium, which accumulates in the heart muscle.
- Next, the patient is moved to an imaging suite, where images of the heart are taken with a SPECT camera or PET scanner.
Several hours later, the patient is imaged again. Alternatively, a radiotracer called sestamibi may be used. This radiotracer requires two injections for the exercise or stress portion of the study and later for the resting portion of the study, which may be scheduled a day ahead or after the stress test.
- Who Benefits from Stress/Rest MPI Studies? For some patients at low-risk for heart disease, a stress test using echocardiography, known as an ECG stress test or exercise treadmill testing, alone is frequently sufficient.
- However, in patients with a moderate-to-high risk for coronary artery disease, an MPI study is essential in addition to a stress test.
Patients who have an abnormal exercise stress test will usually require additional stress testing, such as a Stress/Rest MPI study and/or coronary angiography. Physicians ensure the Stress/Rest MPI Study is appropriate for patients by:
carefully evaluating each patient’s clinical characteristics, coronary artery disease (CAD) risk factors, prior history of CAD and heart (specifically left ventricular) function. applying Appropriate Use Criteria (AUC) and guidelines developed and endorsed by SNM, the American Society of Nuclear Cardiology and other professional societies based on a large body of scientific evidence including studies on thousands of patients. using the ALARA principle (As Low As Reasonably Achievable) to carefully select the amount of radiopharmaceutical that will provide an accurate test with the least amount of radiation exposure to the patient.
Advantages of Stress/Rest MPI This study is:
is the most accurate test available for diagnosing coronary artery disease (CAD) early in patients who may be at risk for a heart attack has a proven risk-stratification capability: abnormal perfusion scans are highly indicative of coronary artery disease (CAD). Research has also shown that patients with normal MPI scans have less than a one percent risk of heart attack or cardiac death for up to five years is sensitive to even the most modest changes in blood flow to the heart offers improved diagnostic accuracy over exercise treadmill testing (also called an ECG stress test).
: Stress/Rest Myocardial Perfusion Imaging (MPI)
What does MPI mean in KPI?
Skip to content Is your hotel getting its fair market share? Use KPI like MPI, ARI, RGI to benchmark the results of your hotel’s revenue management performance. What is your market penetration index? Compare regional arrivals statistics with yours. Stats can be obtained from the airport, tourism boards. Are you getting your part or fair share of the pie? Market share reports help hoteliers and revenue managers to understand your performance versus your competitors, both in terms of occupancy and average rate. They can provide the following information vital to your revenue management decision-making:
MPI – Market Penetration Index (your occupancy results versus the average occupancy of your competitors) ARI – Average Rate Index (your ARR versus the average ARR of your competitors) RGI – Revenue Generator Index (your revenue share of the market, the market being your hotel and the hotel competitors).
Your RGI should be above 100 (Index base 100). If not, that would mean that some of your competitors convert more business than you do. Reading the day by day RGI, when do you achieve the lowest score? Week-days, week-ends, events, low demand periods? Do you have the right market segmentation? Is your price positioning by segment correct? It is also important to compare yourself to the right competitors! Such reports are built in the following format, with day by day results : The Bench, MKG and Deloite are among the main suppliers of such reports.
What is MPI plan?
What Is An MPI (Maximum Premium Indexing) Account? – An MPI Secure Compound Interest Account is essentially a rebrand of indexed universal life (IUL) insurance. IULs are complex insurance products that combine life insurance with some type of investment product, guarantees, costs, and rules.
With these insurance policies, your growth of the cash value is typically tied to the performance of some underlying index. In the case of MPIs, the value depends on the S&P 500 returns. The MPI account is intended to offer regular income during retirement. During retirement, the investment owner will draw down from the cash value to cover living expenses.
However, the remainder of the investment will stay invested and be used to fund the life insurance premiums and expenses.
Why is MPI accuracy important?
Correct patient identification is a critical aspect as patient matching issues can be dangerous for patients’ safety and create administrative errors.
Why is Multidimensional Poverty Index MPI important?
Download historical MPM data – All historical spells Last Updated: Oct 14, 2022 Methodology and Usage The data for the MPM is derived from harmonized surveys in the World Bank’s Global Monitoring Database. The latest estimates for the world are available for circa 2018, using household survey data collected within a three-year window between 2015 to 2021.
The MPM is composed of six indicators: consumption or income, educational attainment, educational enrollment, drinking water, sanitation, and electricity. These are mapped into three dimensions of well-being: monetary, education, and basic infrastructure services. The three MPM dimensions are weighted equally, and within each dimension each indicator is also weighted equally.
Individuals are considered multidimensionally deprived if they fall short of the threshold in at least one dimension or in a combination of indicators equivalent in weight to a full dimension. (See Table1). In other words, households will be considered poor if they are deprived in indicators whose weight adds up to 1/3 or more.
|Daily consumption or income is less than $ 2.15 per person.
|At least one school-age child up to the age of grade 8 is not enrolled in school.
|No adult in the household (age of grade 9 or above) has completed primary education.
|Access to basic infrastructure
|The household lacks access to limited-standard drinking water.
|The household lacks access to limited-standard sanitation.
|The household has no access to electricity.
Source: World Bank, 2018 Summarizing the information on the different deprivations into a single index proves useful in making comparisons across populations and across time. However, any aggregation of indicators into a single index invariably involves a decision on how each of the indicators is to be weighted.
- Not all countries have current and comparable data on all the above dimensions, making it challenging to construct a multidimensional poverty measure, especially at the global level.
- More details on the methodology of the MPM are available here,
- What does multidimensional poverty look like around the world? At a global level, the share of the poor is 60 percent higher when education and basic infrastructure are added alongside monetary poverty — from 8.9 percent living below $2.15 per day to 14.7 percent deprived in at least one of the three dimensions.
By comparing the monetary poverty dimension with indicators from other dimensions, it is possible to form a picture of how many multidimensionally poor are not captured by monetary poverty, as well as which indicator deprivations most affect well-being in the different regions (See Table 2).
|Monetary poverty, headcount ratio (%)
|Multidimensional poverty, headcount ratio (%)
|Number of economies
|Population coverage (%) a
|East Asia and Pacific
|Europe and Central Asia
|Latin America and the Caribbean
|Middle East and North Africa
|Rest of the World
Source: Global Monitoring Database, October 2022. Note : The monetary headcount is based on the international poverty line $2.15. Regional and total estimates are population-weighted averages of survey-year estimates for 123 economies and are not comparable to the monetary poverty measures presented in the PIP.
The multidimensional poverty measure headcount indicates the share of the population in each region defined as multidimensionally poor. Number of economies is the number of economies in each region for which information is available in the window between 2015 and 2021, for a circa 2018 reporting year.
The coverage rule applied to the estimates is identical to that used for the World Bank’s global monetary poverty measures (e.g., see annex 1A of World Bank, 2020 ). Regions without sufficient population coverage are shown in light grey.a. Data coverage differs across regions.
- The data cover as much as 89 percent of the population in Europe & Central Asia and as little as 22 percent of the population in South Asia.
- The coverage for South Asia is low because no household survey is available for India between 2014 and 2018.
- Due to the absence of data on China and India, the regional coverage of South Asia and East Asia and Pacific is insufficient.b.
The table conforms to both coverage criteria used for the global poverty estimate. The global population coverage for low-income and lower-middle-income countries are both 51 percent (also see annex 1A of World Bank, 2020 ). The Team The Multidimensional Poverty Measure was created by the Global Poverty Working Group (GPWG), an interdisciplinary technical working group established to improve the quality and frequency of poverty and inequality data, comprising members from the Poverty and Equity Global Practice and the Development Economics Vice Presidency Data Group (DECDG) and Research Group (DECRG).
- Citation and Attribution: When using the Multidimensional Poverty Measure, please cite as: Multidimensional Poverty Measure (4 th edition, circa 2018), World Bank, Washington, DC.2022,
- Https://www.worldbank.org/en/topic/poverty/brief/multidimensional-poverty-measure Data Source The Global Monitoring Database (GMD) is the World Bank’s repository of multitopic income and expenditure household surveys used to monitor global poverty and shared prosperity.
The household survey data are typically collected by national statistical offices in each country, and then compiled, processed, and harmonized. The process is coordinated by the Data for Goals (D4G) team and supported by the six regional statistics teams in the Poverty and Equity Global Practice.
- The Global Poverty & Inequality Data Team (GPID) in the Development Economics Data Group (DECDG) also contributed historical data from before 1990 and recent survey data from Luxemburg Income Studies (LIS).
- Selected variables have been harmonized to the extent possible such that levels and trends in poverty and other key sociodemographic attributes can be reasonably compared across and within countries over time.
The GMD’s harmonized microdata are currently used in the Poverty and Inequality Platform (PIP), the World Bank’s Multidimensional Poverty Measure (WB MPM), the Global Database of Shared Prosperity (GDSP), and Poverty and Shared Prosperity Reports. Additional information on the latest country data can be found in see Castaneda et al., 2022.
Why is MPI accuracy important?
“A master patient index (MPI) is an index of known patients within a single organization whose visits are linked together by a single identifier, typically the medical record number. MPI management activities typically pertain to a software application that identifies, coordinates, and lists database information.
Enterprise MPI (EMPI) combines MPIs of two or more organizations. The MPI and EMPI are vital databases. The information within an MPI is a key component in the accuracy of patient information, such as identification of allergies, medication lists, and prior visits.” (source: https://engage.ahima.org/HigherLogic/System/DownloadDocumentFile.ashx?DocumentFileKey=ca53ccdc-60bb-4320-a014-8652894a588e ) The 21st Century Cures Act, passed in 2016, includes a provision requiring that patients can electronically access all of their electronic health information (EHI), structured and/or unstructured, at no cost, beginning April 5, 2021.
This rule lays out a vision where a patient’s health information can move seamlessly between health plans and providers. Our health care system has been challenged by the pandemic. The demand for COVID-19 testing has dramatically increased. Data such as a person’s insurance company or address determines where they go to get tested for COVID-19.
- Patient identification is vital to the delivery of efficient care, but at this point there is no national strategy requiring collection of certain patient demographic data elements.
- A lack of data standardization within the Master Patient Index (MPI) record process can lead to inconsistency, discrepancies and error.
Without standardization, information is going to be lost. “Accurately identifying patients and matching them to their data is essential to coordination of care and is a requirement for health system transformation and the continuation of our substantial progress towards nationwide interoperability, a goal of the landmark 21st Century Cures Act.” (source: https://ehrintelligence.com/news/focal-areas-for-improving-patient-matching-in-provider-settings ) The Final Rule promotes innovation and transparency with the help of computers, smartphones, and software to ensure clarity of health care services and costs.
Correct patient identification is a critical aspect as patient matching issues can be dangerous for patients’ safety and create administrative errors. Duplication and fragmentation interfere with interoperability efforts. Health care interoperability will challenge organizations to establish a stronger patient identification process.
PCG’s Online Assessment and Consulting Services foster discussion and collaboration among stakeholders to identify key steps in preparing for compliance of the Final Rule to ensure the interoperability of patient health information. For more information on how PCG can assist you, visit www.primeauconsultinggroup.com
Why is MPI better?
Advantages of Multidimensional Poverty Index (MPI): –
- Helps to create comprehensive picture: MPI depicts who is poor and how they are poor. So, it can be used to create a holistic picture of people living in poverty.
- Highly comparative and replicable: MPI allows for comparison between countries or regions. It also allows within country comparison among different groups, urban and rural areas etc.
- Flexibility, Choice and Identifications: MPI can be adopted to different context with different unit of analysis whether developed or undeveloped countries. Transparency is maintained which helps in the clear identification of who is poor and communications is easy. As increase in the number of dimensions, measurement will be able to focus more acutely on poorest of poor.
- Effectiveness: The indicators used here have immediate practical applications and can be used to target poorest of poor more effectively.
- Prioritizing: MPI prioritizes work at both system level and the level of individuals/families
- Working Levels: MPI makes it possible to work on three levels; individual, agency and community. It also ensures implementation of policies through engagement of partners at various levels.
- Comparison: MPI provides basis to compare each individual’s achievement against the respective dimensions specific cut offs.
- Calculation: Well- being of different groups in the population can be calculated from it. For example; people from certain ethnic groups, regions, gender.
- Simplification: The measurements can be broken down into dimensions to reveal what dimensions contribute to the most dimensional poverty.