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Steve King

What is a Sankey-Diagram? - 0 views

  • Intro What is a Sankey-Diagram? References Demo version Full version   Know-How Games Software Recommendations Pinchleni Software   What is a Sankey-Diagram? A Sankey diagram is a graphic illustration of flows, like energy, material or money flows. Usually the flows are illustrated as arrows. The width of the arrows is proportional to the size of the represented flow. Sankey diagrams are a better way to illustrate which flows represent advantages and what flows are responsible for waste and emission
dhtobey Tobey

Byte Size Biology » genomics - 1 views

  • etadata is the “data about the data”: all the habitat data, SOPs and abiotic data that is in dire need of the standardization Kyrpides writes about.
  • Metadata is the “data about the data”: all the habitat data, SOPs and abiotic data that is in dire need of the standardization Kyrpides writes about.
  • In 2005 the Genomics Standards Consortium was formed to address this problem. Renzo Kottman from the Max-Planck Institute for Marine Microbiology in Bremen, Germany  talked about software development within the GSC, and specifically about his own project: the Genomic Contextual Data Markup Language, or GCDML. GCDML is an XML-based standard for describing everything associated with a genomic or a metagenomic sample: where it was taken from , under what conditions, which protocols were used to extract, sequence, assemble, finish and analyze the metagenome.
    • dhtobey Tobey
       
      Standards organizations are community desktops waiting to happen. More specifically, not reference to "protocols" with a five step process similar to our technology transfer framework. If we could get a copy of this protocol we could develop a diagram and a community site around the four "research cycle" stages: extract, sequence, assemble, finish and analyze. What we need is a similar structure for the tissue sourcing process. Scott, can you think of who might have such a protocol documented?
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    Excerpt from further down the article that Steve sent via email. Note the embedded presentation on "Software development by the Genomics Standards Consortium."
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    wow.. this page is a tour de force for bio science info issues ... and I very much like where you are going with the extract, sequence, assemble, finish and analyze.. pattern.. similar to the NIST model we are using at NERC.... hopefully
dhtobey Tobey

The Rise of Crowd Science - Technology - The Chronicle of Higher Education - 0 views

  • Alexander S. Szalay is a well-regarded astronomer, but he hasn't peered through a telescope in nearly a decade. Instead, the professor of physics and astronomy at the Johns Hopkins University learned how to write software code, build computer servers, and stitch millions of digital telescope images into a sweeping panorama of the universe.
  • Today, data sharing in astronomy isn't just among professors. Amateurs are invited into the data sets through friendly Web interfaces, and a schoolteacher in Holland recently made a major discovery, of an unusual gas cloud that might help explain the life cycle of quasars—bright centers of distant galaxies—after spending part of her summer vacation gazing at the objects on her computer screen. Crowd Science, as it might be called, is taking hold in several other disciplines, such as biology, and is rising rapidly in oceanography and a range of environmental sciences. "Crowdsourcing is a natural solution to many of the problems that scientists are dealing with that involve massive amounts of data," says Haym Hirsh, director of the Division of Information and Intelligent Systems at the National Science Foundation.
    • dhtobey Tobey
       
      Crowdsourcing should be added to our pitch on collective intelligence and included as a primary benefit in NSF and related grants for university development of our code base.
  • Mr. Szalay's unusual career began with a stint as a rock star. While in graduate school in Hungary, he played lead guitar in the band Panta Rhei, which released two albums and several singles in the 1970s.
    • dhtobey Tobey
       
      Hey, this guy might "get" our publishing/producer metaphor for LivingMethods. Perhaps he might be a collaborator on the NSF solicitation for coordinated science applications?
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  • In 2007 tragedy ended their long partnership. Mr. Gray set out from San Francisco on a solo trip on his 40-foot sailboat and did not return.
    • dhtobey Tobey
       
      Oops... looks like the guy needs a new systems partner!
  • A couple of years after Mr. Szalay joined the project, a colleague introduced him to Jim Gray, who was a kind of rock star himself—in the computer-science world. Wired magazine once wrote that the programmer's work had made possible ATM machines, electronic tickets, and other wonders of modern life. When Mr. Szalay met him, Mr. Gray was a technical fellow at Microsoft Research and was looking for enormous sets of numbers to place in the databases he was designing.
    • dhtobey Tobey
       
      Nice link with Microsoft Research Labs.
  • in 1992 came the project that would change his career. Johns Hopkins joined the Sloan Digital Sky Survey project, a computerized snapshot of the heavens.
  • The scientists, along with tech-industry leaders whom Mr. Gray had mentored in the past, offered to help the Coast Guard search the open sea using any technology they could think of. Google executives and others helped provide fresh satellite images of the area. And an official at Amazon used the company's servers to send those satellite images to volunteers—more than 12,000 of them stepped forward—who scanned them for any sign of the lost researcher.
  • But Jim Gray was never found. Some of the techniques that the astronomer learned from the search effort, though, have now been incorporated into a Web site that invites anyone to help categorize images from the Sloan Digital Sky Survey.
  • The number of volunteers surprised the organizers. "The server caught fire a couple of hours after we opened it" in July 2007, he said, burning out from overuse. More than 270,000 people have signed up to classify galaxies so far.
  • Gene Wikis
  • It started under the name of GenMAPP, or Gene Map Annotator and Pathway Profiler. Participation rates were low at first because researchers had little incentive to format their findings and add them to the project. Tenure decisions are made by the number of articles published, not the amount of helpful material placed online. "The academic system is not set up to reward the sharing of the most usable aspects of the data," said Alexander Pico, bioinformatics group leader and software engineer at the Gladstone Institute of Cardiovascular Disease. In 2007, Mr. Pico, a developer for GenMAPP, and his colleagues added an easy-to-edit Wiki to the project (making it less time-consuming to participate) and allowed researchers to mark their gene pathways as private until they had published their findings in academic journals (alleviating concerns that they would be pre-empting their published research). Since then, participation has grown quickly, in part because more researchers—and even some pharmaceutical companies—are realizing that genetic information is truly useful only when aggregated.
dhtobey Tobey

GroupMind Express - Collaboration Software and Consulting for Decision Support - 2 views

  • We provide web-based tools and consulting services to support organizations and consultants. Our purpose is to help teams make decisions based on shared data, resulting in increased alignment and faster implementation.. Here are several standard organization needs, and how we can add value to your work   Your need Our value-add Surveys Shared results lead to group learning. Identify your areas of strength and weakness. Meetings Interactive meetings provide opportunities for buy-in and for gathering the group's intelligence. Hear from everyone.   Brainstorm or Delphi process Create better solutions and build improvement by using fast-cycle brainstorming to increase group understanding.
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    Steve and I looked at this platform this evening in prep for tomorrow's walk-thru and after reviewing the KE capabilities and customization limitations, this may be a better option. We should therefore postpone tomorrow's walk-through and see about getting a trial version of GroupMind to try out for Raytheon.
dhtobey Tobey

Creately - 0 views

  • Creately is a visual collaboration platform used by project teams to communicate more effectively. With Creately's easy to use interface and Shared Projects, everyone on your design, development and business teams can collaborate on software designs, wireframes, business & strategy diagrams easily.
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    Collaborative Visio
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    Could this tool support the visual elements of Stan's methodology?
Steve King

Microsoft EMR: It's Not Just a Matter of When, It's a Matter of Who - 0 views

  • Microsoft Dynamics is largely present in just about every software market but medical. And they’re missing out big time. The United States healthcare IT market is growing at about 13% per year and is expected to reach $35 billion in 20111. The biggest opportunity for growth in the industry is among ambulatory care physician practices, partly due to the Stimulus Bill requiring the use of electronic health records (EHR) systems by 2015.
Steve King

Intuit Press Release - Intuit and Microsoft Join Forces to Deliver Web Applications to ... - 0 views

  • MOUNTAIN VIEW, Calif. and REDMOND, Wash. – Jan. 20, 2010 – Intuit Inc. (Nasdaq: INTU) and Microsoft Corp. (Nasdaq: MSFT) plan to create new opportunities for software developers to deliver and market Web applications to small business customers through the Intuit App Center. The two companies plan to integrate the capabilities of their cloud services platforms ­– the Intuit Partner Platform and Microsoft Windows® Azure platform™ – to enable developers and channel partners to deliver solutions to the millions of employees within businesses that use QuickBooks® financial software. In addition, the two companies will provide small businesses with Microsoft’s cloud-based productivity applications via the Intuit App Center.
  • s two leading technology platform providers to small businesses, Intuit and Microsoft are creating a vast ecosystem of more than 750,000 development firms and channel partners to create more new innovative applications and services that will reach the market more quickly.
Steve King

The Dynamics of Sensemaking, Knowledge, and Expertise in Collaborative, Boundary-Spanni... - 0 views

  • This ethnographic study investigates how a project group deals with the contradiction between distributed knowledge in boundary-spanning collaborative processes and the expectation that software systems will provide unified, codified knowledge. Group and individual activities were observed over a period of 18 months, to examine the ways knowledge was presented, recognized, shared, or otherwise managed during joint design of business process and IT systems change. The study explores how knowledge and expertise were translated across organizational boundaries, and identifies four stages in the development of group understanding of how to manage sensemaking and expertise across knowledge boundaries: focus on defining shared goals; acknowledging and sharing tacit knowledge about organizational practice; identifying external influences; and explicit knowledge generation.
Steve King

Virtual Strategy Magazine - PC Hypervisors Virtually Change Everything - 0 views

  • With VDI, virtual desktop images are stored in a data center and provided to a client via the network. The virtual machines will include the entire desktop stack, from operating system to applications to user preferences, and management is provided centrally through the backend virtual desktop infrastructure.   The promise is that VDI will replace the need for myriad systems management and security tools that are currently deployed. No more demands for traditional desktop management tools for OS deployment, patch management, anti-virus, personal firewalls, encryption, software distribution and so on. In fact, many are suggesting that we can return to thin client computing models
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    Not sure exactly how this applies to VW internal IT infrastructure and client facing apps.. but I'm sure it does! especially if we could have client VWsuite VMs running in our data center so that we abstract all the different GME/OnP/LP/KE/CRM platforms into a single VM client interface that anyone can log into with no complexity
Steve King

Institute for Water Quality, Resources and Waste Management, TU Vienna - 0 views

  • STAN (short for subSTance flow ANalysis) is a freeware that helps to perform material flow analysis according to the Austrian standard ÖNorm S 2096 (Material flow analysis - Application in waste management).
Steve King

Sankey Helper 2.4.1 by G.Doka - 0 views

  • Sankey Helper v2.4 helps you design Sankey diagrams from Excel data ... in Excel !
Steve King

e!sankey - show the flow / Good reasons to use e!Sankey - 0 views

  • Sankey diagrams are a specific type of flow chart, in which the width of the arrows is shown proportionally to the flow quantity. They are typically used to visualize energy or material transfers between processes. The flow arrows can be color-coded to indicate the type of the flow (energy, mass, costs, etc).
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    Sankey diagrams are a specific type of flow chart, in which the width of the arrows is shown proportionally to the flow quantity. They are typically used to visualize energy or material transfers between processes. The flow arrows can be color-coded to indicate the type of the flow (energy, mass, costs, etc).
Steve King

..:: AggFlow - Optimize, Maximize, Profitize ::.. - 1 views

  • AggFlow, the world's most sophisticated plant simulation and flow analysis software, has been developed specifically for the aggregate and mining industry to maximize production and improve profitability.
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    some interesting graphic modeling
dhtobey Tobey

Google Prediction API - Google Code - 0 views

  • The Prediction API enables access to Google's machine learning algorithms to analyze your historic data and predict likely future outcomes. Upload your data to Google Storage for Developers, then use the Prediction API to make real-time decisions in your applications
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    Potential analytic toolkit for analyzing behavior trends in best practices
dhtobey Tobey

Backboard - 1 views

  • Backboard makes it easy to securely collect feedback and approval on documents, presentations, graphics, and websites. Backboard works with all common file formats.
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    Cloud-based reviewing system that seems to support all the important file types.
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    How does this compare with VivoPaper? Could this be a substitute and a candidate for a partner agreement?
Steve King

InfoQ: The Science of Learning: Best Approaches for Your Brain - 0 views

  • Do you wonder why people don’t understand the idea you’re trying to get across in a meeting? Are you mentoring another developer and struggling to understand why the still don’t get it? Do you run training courses and wonder why the attendees only learn 10% of the material? We are all teachers whether as informal mentors, coaches, trainers or parents. Yet only professional educators receive training in this area. Nearly two years ago I started reading neuroscience (Norman Doidge’s “The Brain that Changes Itself”), for fun. Along the way I acquired an interest in neuroscience and wondered how its lessons could be applied to Agile Software Development and beyond.
Steve King

NEJM -- What's Keeping Us So Busy in Primary Care? A Snapshot from One Practice - 0 views

  • Primary care practices typically measure productivity according to the number of visits, which also drives payment.
    • dhtobey Tobey
       
      This study is directly related to the TrustNetMD mission, but could also be useful for other EBM-related and OBM-related community desktop solutions.
  • Several studies have estimated the amount of time that primary care physicians devote to nonvisit work.1,2 To provide a more detailed description, my colleagues and I used our electronic health record to count units of primary care work during the course of a year.
  • Greenhouse Internists is a community-based internal medicine practice employing five physicians in Philadelphia. In 2008, we had an active caseload of 8440 patients between 15 and 99 years of age.
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  • Our payer mix included 7.2% of payments from Medicaid (exclusively through Medicaid health maintenance organizations), 21.5% from Medicare (of which 14.0% were fee-for-service and 7.5% capitated), 64.7% from commercial insurers (34.5% fee-for-service and 30.2% capitated), and 6.5% from pay-for-performance programs.
    • dhtobey Tobey
       
      I wonder how this breakdown compares with national/urban averages? Also how are these trending? Is the pay-for-performance increasing dramatically? I would think so based on what we are hearing.
  • Throughout 2008, our physicians provided 118.5 scheduled visit-hours per week, ranging from 15 to 31 weekly hours each. We regard this schedule as equivalent to the work of four full-time physicians, with physicians typically working 50 to 60 hours per week. Our staff included four medical assistants, five front-desk staff, one business manager, one billing manager, one health educator (hired midyear), and two full-time clerical staff. Our staffing ratio was approximately 3.5 full-time support staff per full-time physician. We had no nurses or midlevel practitioners.
    • dhtobey Tobey
       
      From the little I know this is a typical primary care scenario - very poor leverage of professional staff, meaning no use of nurses or midlevel practitioners to leverage physician time and expertise.
  • We use an electronic health record, which we adopted in July 20043 and use exclusively to store, retrieve, and manage clinical information. Our electronic system came with 24 "document types" that function like tabs in a paper chart to organize documents, dividing clinical information into categories such as "office visit," "phone note," "lab report," and "imaging." Since all data about patients is stored in the electronic record (either as structured data or as scanned PDFs) and each document is signed electronically by a physician, we are able to measure accurately the volume of documents, which serve as proxies for clinical activities, in a given time period.
    • dhtobey Tobey
       
      Each of these document types could become a "LivingPaper" creating a "LivingRecord" vs. the current EHR... Steve have you discussed something like this with TNMD?
  • The volume and types of documents that we receive, process, and create are listed in Table 1
  • Telephone calls that were determined to be of sufficient clinical import to engage a physician averaged 23.7 per physician per day, with 79.7% of such calls handled directly by physicians.
    • dhtobey Tobey
       
      Wow! I never would have guessed that telephone calls were such a significant part of the physician day. Does the EHR provide a CRM for call-logging?
  • Of these calls, 35.7% were for an acute problem, 26.0% were for administrative purposes
  • Physicians averaged 16.8 e-mails per day. Of these electronic communications, 59.3% were for the interpretation of test results, 21.7% were for response to patients (either initiated by patients through the practice's interactive Web site or as part of an e-mail dialogue with patients), 9.3% were for administrative problems, 5.0% were for acute problems, 2.8% were for proactive outreach to patients, and 1.9% were for discussions with consultants.
    • dhtobey Tobey
       
      60% for interpretation of test results!!! Opinion management ranks as the highest use of electronic communications. THIS IS OUR SWEET SPOT! We need to find this type of data for research scientists.
    • Steve King
       
      this is a a perfect source document for HC CD
  • Each physician reviewed 19.5 laboratory reports per day, including those ordered through our office (which are delivered to us through an electronic interface and are automatically posted to the database of the electronic health record as numerical values) and those ordered outside our office (which enter our chart as scanned PDFs and are not posted as numerical values). The work cycle of responding to a laboratory result includes interpretation by telephone, letter, or e-mail. (Our office sent 12,541 letters communicating test results, about a third of which were sent by e-mail.) For noninterfaced laboratories, we must decide which values need to be entered manually into the electronic health record by a staff person; the values of scanned results cannot be graphed or searched without this step. Laboratory results frequently trigger a review or adjustment of a medication, which requires access to accurate, current medication lists with doses.
    • dhtobey Tobey
       
      How difficult would it be to integrate LivingPaper with existing EHRs and/or lab systems. Since EHRs are still in the "early adopter" phase, perhaps we can address some of the most critical needs making EHR use unnecessary, or perhaps this is a HUGE joint opportunity with Microsoft's healthcare division.
  • Each physician reviewed 11.1 imaging reports per day, which usually required communication with patients for interpretation. Such review may require updating problem lists (e.g., a new diagnosis of a pulmonary nodule) or further referral (e.g., fine-needle aspiration for a cold thyroid nodule), which generates additional work, since results and recommendations are communicated to patients and consultants.
  • Each physician reviewed 13.9 consultation reports per day. Such reports from specialists may require adjustments to a medication list (if a specialist added or changed a medication), changes to a problem list, or a call or e-mail to a patient to explain or reinforce a specialist's recommendation. Some consultation or diagnostic reports relate to standard quality metrics (e.g., eye examinations for patients with diabetes) and need to be recorded in a different manner to support ongoing quality reporting and improvement.5
  • Before our practice had an electronic health record, we employed a registered nurse. After the implementation of the electronic health record system, much of the work that the nurse performed could be done by staff who did not have nursing skills, and by 2008, we no longer employed a registered nurse. However, on the basis of the analysis described here, we have hired a registered nurse to do "information triage" of incoming laboratory reports, telephone calls, and consultation notes — a completely different job description than what we had before.
    • dhtobey Tobey
       
      Most interesting! This is the conclusion we came to and presented to TNMD as a business plan concept -- become the triage service through outsourcing/insourcing RNs supported by the community desktop system.
  • Our practice is participating in a multipayer Patient Centered Medical Home demonstration project7 (which allowed us to hire our health educator). This project is overseen by the Pennsylvania governor's office and funded by the three largest commercial insurers and all three Medicaid insurers in our region
    • dhtobey Tobey
       
      Monetization is with the insurers -- just as we expected.
dhtobey Tobey

AutoMap: Project | CASOS - 0 views

  • AutoMap is a text mining tool that enables the extraction of network data from texts. AutoMap can extract content analytic data (words and frequencies), semantic networks, and meta-networks from unstructured texts developed by CASOS at Carnegie Mellon.  Pre-processors for handling pdf’s and other text formats exist.  Post-processors for linking to gazateers and belief inference also exist. The main functions of AutoMap are to extract, analyze, and compare texts in terms of concepts, themes, sentiment, semantic networks and the meta-networks extracted from the texts. AutoMap exports data in DyNetML and can be used interoperably with *ORA. AutoMap uses parts of speech tagging and proximity analysis to do computer-assisted Network Text Analysis (NTA). NTA encodes the links among words in a text and constructs a network of the linked words. AutoMap subsumes classical Content Analysis by analyzing the existence, frequencies, and covariance of terms and themes. AutoMap has been implemented in Java 1.5.0_07. It can operate in both a front end with gui, and backend mode. Main functionalities of AutoMap are: Extract, analyze and compare mental models of individuals and groups. Reveal structure of social and organizational systems from texts. AutoMap also offers a variety of techniques for pre-processing Natural Language: Named-Entity Recognition Stemming (Porter, KStem) Collocation (Bigram) Detection Extraction routines for dates, events, parts of speech Deletion Thesaurus development and application Flexible ontology usage Parts of Speech Tagging
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    Could this tool be useful for the knowledge exchange to develop automatic tagging and taxonomy creation?
Steve King

The Expert Choice Team, History, and Approach - Expert Choice - 0 views

  • Over the past 25 years we have built an unparalleled set of skills in bringing the right stakeholders together to collaborate, set priorities, and move forward with confidence. Organizations are increasingly complex and geographically distributed, yet the need for close collaboration and priority-setting is more critical than ever before. The world’s most successful organizations spanning government, industry, and academia rely on Expert Choice for rapid convergence of experience, intuition, and specific data. We’ve designed our software to be quick-to-learn, easy-to-use, and rooted in how we all make decisions. Take a look at how we work with our customers to improve outcomes, reduce costs, save time, and build alignment, buy-in, and confidence.
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