How is web API different from traditional HL7 and FHIR
RESTful API are the backbone of many webservices today. Having the tools to integrate an not-natively-RESTful interface engine with this common standard opens a lot of possibilities. There will be hurdles for implementing tools like these, especially since some of core RESTful requirements are lost, namely: statelessness, cacheability, and code on demand. Representational State Transfer (REST) web services are a popular method of providing interoperability between systems. There are six constraints: Uniform interface: Resources are uniquely identified in requests by URIs, and the communication is HTLM, XML, or JSON representation of content from the database. When the server returns the representation of the resource to the client, the client holds enough information to modify or delete the resource on the
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Why is Mirth Connect the preferred interface engine
NextGen Connect or Mirth connect is a cross-platform interface engine used in the healthcare industry that enables the management of information using bi-directional sending of many types of messages. The primary use of this interface engine is in healthcare. On September 9th, 2013 Mirth Corporation announced they were acquired by Quality Systems. Mirth Connect has since been rebranded as NextGen Connect. Mirth Connect was born out of a desire to develop an internal integration engine. At first, the Mirth® R&D team only wanted to figure out how to parse HL7 messages. Gerald Bortis, vice president of R&D, said he tried to get access to competitive demo tools, but there was no way to quickly get a demo version to play
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What is Uniform Data System (UDS) Business Intelligence reporting
Uniform Data System is an annual reporting system that provides standardized information about the performance and operation of health centers delivering health care services to undeserved communities and vulnerable populations. Its core components include patient demographics, staffing and utilization, selected diagnoses and services rendered, quality of care indicators, health outcomes and disparities, and finances and revenues of awardee health centers. UDS data on patient characteristics and clinical conditions are used to evaluate and improve health-center performance, ensure compliance with legislative mandates, and identify trends in health centers’ impact on expanding access, addressing health disparities, improving quality, and reducing health care costs. The Uniform Data System (UDS) report is required for the following health centers: Health Resources and Service Administration (HRSA) awardees
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With the passing time, there has been increase in the usage of EHRs. Catering to so many demand and needs of them, FHIR is been introduced aiming to simplify the implementation process without bearing on the information integrity and authenticity. How FHIR helps with this? It leverages the existing theoretical and logical models and prototypes and provides a simple to execute mechanism to exchange data in between different healthcare applications. The objective is to create a base set of resources that could meet the diversified meet of common use case scenarios. And, it is supposed to be used and implemented as a standalone data exchange standard or in link with the existing ones in a seamless manner. It is one
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Steps of testing successful EMR data extraction
Few people understand the internal complexities of database systems specially when it comes to EMR data extraction. In the pre-assessment planning, the first step is to identify the key people with the business and their expectations. The initial source database assessment forms the basis of Santeware’s testing strategy, since this provides complete scoping of data available, count of records, quality of data, data relationships, scanned documents scope and data required in various systems. Santeware adopts different testing methodologies for data to be migrated to Epic versus data to be archived, this allows the QA team to focus on each data set appropriately. We partner with your EMR data extraction team to conduct thorough validation and testing of this clinical data.
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Data Analysis & Business Intelligence in Health Care
In Today’s time the data analysis has incredible power dealing with the most medial studies. It’s also essential for the Healthcare Professional during their everyday practice to know the Patient Health Whether it is individual Patient or the whole Population. But with the heap of data it is of little use without the data visualization. Data Visualization brings the realistic facts to the absolute ease making data analysis more efficient for physicians, nurses and other health professionals. Data Analysis Dashboard Analytical Dashboards help the Healthcare Professionals to quickly analyse the large set of data by saving the time and these dashboard helps to access the information on their Projected Interest easiest way with the enhanced Health Intelligence giving them scope
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The New Normal: Covid-19 is here to stay
The coronavirus disease 19 (COVID-19) is a highly transmittable and pathogenic viral infection caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which emerged in Wuhan, China and spread around the world. Genomic analysis revealed that SARS-CoV-2 is phylogenetically related to severe acute respiratory syndrome-like (SARS-like) bat viruses, therefore bats could be the possible primary reservoir. The intermediate source of origin and transfer to humans is not known, however, the rapid human to human transfer has been confirmed widely. There is no clinically approved antiviral drug or vaccine available to be used against COVID-19. However, few broad-spectrum antiviral drugs have been evaluated against COVID-19 in clinical trials, resulted in clinical recovery. The coronavirus episode is a worldwide concern. As time
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Why is Testing while implementing EMR Interface?
One of the biggest shortcomings we’ve seen when it comes to implementing healthcare IT is a lack of good, deep, detailed testing. There is a ton of lift that goes into building interfaces, mapping APIs and getting vendors to agree on a standard for data exchange to get one step closer to coordinated care records. But front-loading EHR interface efforts can have disastrous results once the healthcare solution is in the wild, so to speak, if proper space isn’t allotted in the timeline for extensive QA. When every digit and value contributes valuable information to the overall picture of patient health, a hospital system simply can’t afford poor Epic interface work…or more specifically, a lack of comprehensive testing of those
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EMR Data Conversion/ Migration/ Archival. The Similarities and Differences
The terms EMR data conversion and EMR data migration are often used interchangeably. And, while this is incorrect, there are plenty of blogs and articles out there explaining the difference between converting data (changing it from one format to another) and migrating data (permanently moving data from one location to another) that will set you straight.   Rather than add to the conversation about their definitions, we’re going to talk about why it’s not enough to talk about data conversion or data migration without also considering data archiving.   Before you begin an EMR data conversion project or make another significant IT infrastructure purchase – say a new ERP or Patient Accounting system – you must have clear information governance
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5 Steps for Planning a EMR Data Migration
Proceeding with a EMR data migration is a major undertaking, especially in today’s high-speed business environment where even a few minutes of downtime could result in sizable financial costs. Whether a company is only relocating data or executing a full-scale data center migration, there is a wide range of factors that could impact the project’s outcome. Fortunately, taking the time to carefully plan every aspect of the migration and identify potential risks along the way can protect a company’s IT investments, minimize service disruption, and help the transition go more smoothly. Here are some considerations for business owners and IT staff members as they prepare to make a move.     5 Steps for Planning a EMR Data Migration 1. Understand What
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Top 5 success strategies for EMR conversion implementation
Frustration is widespread among numerous EMR buyers. With the selection of a new EMR comes the need for a systematically performed, rigorously tested data conversion. When done correctly, a data conversion preserves the structure of patient records, including all the information necessary to track drug interactions, perform allergy checks, and otherwise ensure the delivery of safe and efficient care. Data conversion, which requires a significant time allocation, should account for a substantial part of any EHR switch. Start the process early and make sure it’s completed well before the go-live date. The journey to a successful EMR conversion will require your practice to convert existing patient information to an electronic format. This task can be arduous, and you will need
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How is AI and machine learning is benefiting the healthcare industry
AI inspired healthcare is aiming at providing better care. From examining different computerized algorithms to matching behavior of complex medical data, the end objective is to optimize clinical procedures and clinical outcomes. Lets check the stats of growth of AI in current healthcare space. AI in healthcare is growing with a CAGR of 14% and is expected to be a market of $35B by 2025. Revenue!! Profit!! Growth!Here are some of the potential areas of growth you can leverage from based on our analysis of market in 2019 are:- 1. Radiology Image Analysis: Currently, image analysis is very time consuming for human providers, with use of machine-learning algorithm you can analyze 3D scans upto 90-95% faster then manual. Additionally, AI
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5 reasons why is it Important to Outsourcing IT
Outsourcing has become a major trend in human resources over the past decade. It’s the practice of sending certain job functions outside a company instead of handling them in house. More and more companies, large and small, are turning to outsourcing as a way to grow while restraining payroll and overhead costs. Heres few of the points explained in details: Improved Security and Monitoring Keeping up with technology required to protect your business is expensive and time consuming. Professional outsourced IT providers work with multiple clients in many industries and are required to keep abreast of that industry’s best practices. A reputable outsourced IT provider will be dead serious about security against malware, zero-day hacks and other intrusions. It is
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Reasons why Healthcare IT product Development is Important
Healthcare IT product development need not necessarily be a long and complex process. However, It is critical to know the general product development lifecycle from the proof-of-concept (POC) stage to the licensing stage so that your development process can follow the correct path. Knowing which pitfalls to avoid will speed your time to market. While product development companies dealing with non-fatal illnesses are not as closely scrutinized, those that deal with adverse and deadly diseases such as cancer and tuberculosis have to be extra careful. For instance, product development companies that offer products that fail have to deal with a strong market backlash. In this context, this article summarizes why information technology product development is vital in the health sector
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What is HL7? A Beginner's Guide
Health Level 7 (HL7) is one of the most commonly used healthcare standards worldwide, supporting clinical practice and the evaluation, delivery, and management of health service undeserved. HL7 provides a framework that helps govern how electronic health information is retrieved, shared, exchanged and integrated. The standards define how patient information is structured, packaged and communicated between disparate parties and also sets the data types, structure, and language needed for seamless integration between electronic health systems.  The HL7 standards are called “Level Seven.” Here, level 7 means the message formats are layered upon the seventh level of the OSI (Open Systems Interconnection) protocol of the ISO (International Standards Organization). HL7 is broken into seven parts. Each section has a purpose and
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