clinical data

See the following -

Navigation Between Heavy-weight and Light-weight Standardization (Part 2)

Andy Oram | EMR & HIPPA | August 26, 2016

The previous section of this article laid out the context for HL7 FHIR standard and the Argonaut project; now we can look at the current status.Tripathi portrays the Argonaut process as radically different from HL7 norms. HL7 hasestablished its leading role in health standards by following the rules of the American National Standards Institute (ANSI) in the US, and similar bodies set up in other countries where HL7 operates. These come from the pre-Internet era and emphasize ponderous, procedure-laden formalities. Meetings must be held, drafts circulated, comments explicitly reconciled, ballots taken. Historically this has ensured that large industries play fair and hear through all objections, but the process is slow and frustrates smaller actors who may have good ideas but lack the resources to participate.

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Neuron Health: Building Clinical Applications On An Open Source Platform

Here are four reasons building on the Tolven Platform can benefit healthcare application development, along with lessons learned through the experiences of Roberts-Hoffman Software.  Our team created the clinical functions of an inpatient EHR, many of which are available as open source plugins to Tolven under the Neuron Health project.

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New, Open Access Journal Turns Peer-Review Lens Toward Improving The Research Process

Press Release | AcademyHealth | January 17, 2013

AcademyHealth today announced the official launch of eGEMs, a free, peer-reviewed e-publication that will publish innovative ideas and practices using electronic clinical data to advance health systems research and quality improvement, and improve patient and community outcomes. Read More »

NIH to Bring Precision Medicine Data Collection to Patient Homes

Jennifer Bresnick | HealthIT Analytics | April 6, 2017

Thousands of volunteers for the All of Us precision medicine cohort won’t even have to leave the comfort of their living rooms when contributing data to the project thanks to a new NIH collaboration with mobile medical service EMSI. The All of Us program, formally known as the Precision Medicine Initiative (PMI) Cohort, aims to collect biosamples from at least one million patients to fuel big data analytics and personalized medicine research...

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ONC's Trusted Exchange: A Public Health Perspective

In January 2018 the Office of the National Coordinator for Health Information Technology (ONC) issued a draft Trusted Exchange Framework and Common Agreement (TEFCA), and related supporting documents, in response to a requirement imposed by Congress in the 21st Century Cures Act. The Act says that the TEF may include a common method for authenticating users, a common set of rules, enabling policies, and a process for managing non-compliance. Nowhere does the Act instruct ONC to determine an actual technical architecture in this process, though such a step is not precluded either. The primary document is in two parts: Part 1 is a set of principles that set the foundation for Part 2 which is a set if minimum terms and conditions for trusted exchange.

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Open Source Machine Learning Tools are as Good as Humans' in Cancer Surveillance According to Regenstrief, Indiana Univ. Study

Press Release | Indiana University | April 21, 2016

Machine learning has come of age in public health reporting according to researchers from the Regenstrief Institute and Indiana University School of Informatics and Computing at Indiana University-Purdue University Indianapolis. They have found that existing algorithms and open source machine learning tools were as good as, or better than, human reviewers in detecting cancer cases using data from free-text pathology reports. The computerized approach was also faster and less resource intensive in comparison to human counterparts.

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Pharma Not So Big On Cloud For Clinical Trials

Chris Anderson | Government Health IT | December 26, 2012

Big pharma is notoriously slow-footed when it comes to changing its business model. Some would argue it is a major reason why so many pharmaceutical companies are struggling as their blockbuster drugs go off patent. In short, there is an institutionalized caution to embracing the kind of change moving to the cloud presents.

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Philips and MIT Investigators Collaborate to Give Researchers Unprecedented Access to Critical Care Patient Data

Press Release | Royal Philips | January 15, 2016

Royal Philips today announced a new initiative with  Massachusetts Institute of Technology (MIT) to allow health care researchers to tap into one of the largest data sources available for research into critical care. Philips will be granting access to data from more than 100,000 patients that have been collected and anonymized through the Philips Hospital to Home eICU telehealth program. The Laboratory of Computational Physiology within the MIT Institute for Medical Engineering and Science will serve as the academic research hub for the initiative, and will provide and maintain access, as well as help educate researchers on the database and offer a platform for collaboration...

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Q&A: Unstructured Clinical Notes Just As Valuable For Analytics

Jennifer Bresnick | HealthITAnalytics | October 10, 2013

While much has been made of the need to standardize clinical data with EHRs that use templates, click boxes, and dropdowns to funnel information into pre-determined data elements, the need for such strict organization may not be top priority for long. [...] Read More »

Syapse Joins Free The Data! Initiative and Provides Software To Power Participant-centric Hereditary Gene Mutation Data

Press Release | Genetic Alliance, Syapse | July 31, 2013

Syapse, the leader in software for bringing omics into routine medical use, announced that it has joined the Free the Data! initiative. [...] Read More »

The Growing Trend Of Clinical Research Crowdsourcing

The trend of open collaboration has led to innovation across multiple industries. For decades, big pharma has been known as conservative and slow to change. Today however, there is a growing movement toward open access and crowdsourcing scientific information to accelerate research and development. Open-source platforms have let developers create multiple crowdsourcing applications, that are further enabling the crowdsourcing trend in the life sciences industry, as well.

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The Postmodern EHR: What are the Enablers?

Traditional monolithic EHR architectures focus on stability and standardization at the expense of agility. Along with innovation, cloud based deployment and integration of things, agility is the main differentiator when describing the requirements of application architecture for the Postmodern EHR. Achieving agility is impossible for the vast majority of healthcare applications today as they are an inseparable mix of code for user interface, decision logic, workflows and data definitions. New architectures promote agility and reuse by turning the applications inside out and layering the four types of programming into portals, rule engines, process engines and XML data. Let’s look at some examples, layer by layer:

The Postmodern EHR: The Data Layer

This second approach entails defining a data layer, which is the most important aspect of the Postmodern EHR architecture from my previous post. Why is this the most important layer? Most healthcare organizations are beginning to realize that their data is more valuable than their applications. Data has become a key asset, since good data is key to improving outcomes, managing chronic disease and enabling population health management. And it needs to be managed for the lifetime of the patient. Which application is going to last that long? What happens to health data when we switch applications?

To Enhance Patient Outcomes, Make Clinical Data Usable

David Lareau | Government Health IT | August 23, 2012

If physicians have access to more clinical data, does this mean that patient outcomes are enhanced? Possibly, but only if providers can retrieve the most relevant information quickly, in a logical format, and at the point of care. Read More »

Transformation of Health System Needed to Improve Care and Reduce Costs

Press Release | Blue Shield of California Foundation (BSCF), Charina Endowment Fund, , Robert Wood Johnson Foundation (RWJF), Institute of Medicine (IoM) | September 6, 2012

America's health care system has become too complex and costly to continue business as usual, says a new report from the Institute of Medicine. Read More »