• Patient-reported data key to ‘big data’ success

    Updated: 2012-05-31 15:39:15
    Source: Ken Terry, FierceHealthIT Content: “Researchers from technology companies and universities are trying to figure out how to apply analytic tools to a wide range of information to improve healthcare and find new cures for diseases. Most of these “big data” efforts involve the use of clinical records. But an article in the Atlantic says [...]

  • ‘Open’ Health IT Standards

    Updated: 2012-05-31 14:49:20
    Source: Peter Groen, COSI 'Open' Health Content: “Mention standards and my eyes usually start to glaze over. However, standards can be exciting and do matter, especially to businesses, because they may have to ensure that their products interoperate with the dominant industry standards if they are to succeed. Where standards don’t exist, a particular business [...]

  • What electronic health records don’t know just yet. A privacy analysis for patient communities and health records interaction

    Updated: 2012-05-30 19:02:31
    Source: Wuyts K et al, Health and Technology, 2012 Content: The advent of Web 2.0 has resulted in the emergence of a new generation of user-centric applications. Healthcare too follows this trend and a whole range of health-related applications are being introduced. Electronic health record (EHR) systems are being developed to enable electronic storing and [...]

  • An electronic health record-enabled obesity database

    Updated: 2012-05-30 16:39:37
    Source: Wood GC et al, BMC medical informatics and decision making, 12(1) Content: BACKGROUND: The effectiveness of weight loss therapies is commonly measured using body mass index and other obesity-related variables. Although these data are often stored in electronic health records (EHRs) and potentially very accessible, few studies on obesity and weight loss have used data [...]

  • Mining electronic health records: towards better research applications and clinical care

    Updated: 2012-05-30 15:53:42
    Source: Jensen PB et al, Nature reviews. Genetics, 13(6) Content: Clinical data describing the phenotypes and treatment of patients represents an underused data source that has much greater research potential than is currently realized. Mining of electronic health records (EHRs) has the potential for establishing new patient-stratification principles and for revealing unknown disease correlations. Integrating [...]

  • Survey of patient and public perceptions of electronic health records for healthcare, policy and research: Study protocol

    Updated: 2012-05-30 15:38:04
    Source: Luchenski S et al, BMC medical informatics and decision making, 12(1) Content: BACKGROUND: Immediate access to patients’ complete health records via electronic databases could improve healthcare and facilitate health research. However, the possible benefits of a national electronic health records (EHR) system must be balanced against public concerns about data security and personal privacy. Successful [...]

  • Inadequate financial reporting holds firms back

    Updated: 2012-05-30 11:23:00
    Businesses admit difficulties in controlling data quality when reporting financial results as finance executives complain of stress as a result

  • Texting program helps track, manage patient satisfaction

    Updated: 2012-05-30 08:22:19
    Source: Sara Jackson, FierceMobileHealthcare Content: “With Medicare payments soon to be tied in part to patient satisfaction scores, hospitals are testing myriad methods to keep patients happy. One enterprising facility, Park Nicollet Health Service in the Minneapolis-St. Paul area, uses text messaging to identify how patients feel about their hospital stay, and track down the source [...]

  • Mobile payment transactions set to soar with smartphone user growth

    Updated: 2012-05-29 21:01:09
    The value of mobile payments is expected to reach $617bn by 2016 as the number of mobile users worldwide reaches 448 million

  • Patient feedback data for health economic modelling: the patient´s voice integrated

    Updated: 2012-05-29 10:07:44
    Source: Nadine van Dongen, pharmaphorum Content: “Up to now, the reimbursement of new innovative pharmaceuticals was merely based on registration data (efficacy, safety and quality parameters). Nevertheless, increasing health care costs have become a major concern for health care decision-makers, resulting in the implementation of new cost containment measures. These measures lead to additional data [...]

  • Continuity of care document could be boon to public health efforts

    Updated: 2012-05-28 16:33:34
    Source: Ken Terry, FierceHealthIT Content: “The Continuity of Care Document (CCD), a standardized format for clinical summaries that can be exchanged between disparate electronic health record systems, could greatly advance public health initiatives, according to a new paper in the American Journal of Public Health. Among the public health areas that the CCD could benefit, the [...]

  • How the continuity of care document can advance medical research and public health

    Updated: 2012-05-28 16:21:59
    Source: D’Amore JD et al, American journal of public health, 102(5) Content: Electronic health records in the United States currently isolate digital information in proprietary, institutional databases. Experts have identified inadequate data exchange as a leading challenge to advancements in care quality and efficiency. Recent federal health information technology incentives adopt an extensible standard, called [...]

  • 10 Most read articles week 20 May 2012

    Updated: 2012-05-28 08:52:55
    Source: Lodewijk Bos, ICMCC Content: New paradigms for measuring clinical performance using electronic health records How legal compliance with patient data can spur engagement For diabetes patients, study finds little difference between EHR and paper-based care Adoption of Information Technology in Primary Care Physician Offices in Alberta and Denmark, Part 2: A Novel Comparison Methodology mHealth: [...]

  • 5 Hidden Skills for Big Data Scientists

    Updated: 2012-05-27 01:24:38
    1. Be Clear: Is Your Problem Really A Big Data Problem? There are many big data problems out there requiring huge compute scale, innovations in computation paradigms, vast storage space and so on. But just because your data takes up...

  • Willingness to share personal health record data for care improvement and public health: a survey of experienced personal health record users

    Updated: 2012-05-25 16:26:32
    Source: Weitzman ER et al, BMC medical informatics and decision making, 12(1) Content: BACKGROUND: Data stored in personally controlled health records (PCHRs) may hold value for clinicians and public health entities, if patients and their families will share them. We sought to characterize consumer willingness and unwillingness (reticence) to share PCHR data across health topics, and [...]

  • Outlier detection in two review articles (Part 2)

    Updated: 2012-05-25 15:48:18
    Here we go with the second review article about outlier detection (this post is the continuation of Part I). A Survey of Outlier Detection Methodologies This paper, from Hodge and Austin, is also an excellent review of the field. Authors give a list of keywords in the field: outlier detection, novelty detection, anomaly detection, noise detection, deviation [...]

  • Do electronic records pose new ethics challenges?

    Updated: 2012-05-25 15:45:00
    Source: Kathy Kincade, DrBicuspid Content: “Electronic health records are a major development in the practice of dentistry, and dental schools and dental curricula have benefitted from this technology,” wrote co-authors Robert Cederberg, DDS, and John Valenza, DDS, of the University of Texas Health Science Center at Houston. “Quick and easy access to patient data has [...]

  • Dresden University: Using Google’s Search Engine Algorithms to Fight Cancer

    Updated: 2012-05-25 15:00:17
    Source: Marcos Hung, Dr Chrono Content: “Can Google inspire the healthcare industry? With the recent loss of Steve Jobs by pancreatic cancer and the need for better diagnostic tools to detect disease in its early phases, Google’s proprietary PageRank algorithm inspired a new way to determine cancer stage and treatment. Researchers from Dresden University of [...]

  • HIE Challenges and Solutions

    Updated: 2012-05-25 14:03:49
    Source: EHRScope Content: “The Office of the National Coordinator for Health IT (ONC) is striving to meet the many challenges posed by the adoption of health information exchanges (HIE).“We’re on the verge of turning the corner on HIE,” said ONC director Claudia Williams during a recent webinar.“The building blocks put in place by [...]

  • Data Mining and Analytics in Radiology

    Updated: 2012-05-25 09:43:02
    Source: Whitney L.J. Howell, Diagnostic Imaging Content: “Patient safety, satisfaction, and the quality of care you provide are no longer merely questions of how well you complete the appropriate services. More and more, group practices and hospital departments are turning to advanced analytics tools for data to streamline their work flow and improve efficiency. The [...]

  • Zero Tolerance Search : 24 year old neuroscientist

    Updated: 2012-05-12 21:44:21
    [The idea behind 'zero tolerance search' posts is to illustrate real life search interactions that show how far we have to go in leveraging the explicit and implicit data in the web and elsewhere.] Yesterday, I heard part of an...

  • Excellent Visualization of Network Effect

    Updated: 2012-05-12 21:28:24
    [The idea behind 'zero tolerance search' posts is to illustrate real life search interactions that show how far we have to go in leveraging the explicit and implicit data in the web and elsewhere.] Yesterday, I heard part of an...

  • Outlier detection in two review articles (Part 1)

    Updated: 2012-05-12 19:11:10
    If you need to read two review articles about outlier detection, the first one is… Outlier Detection: A Survey The first one, Outlier Detection: A Survey, is written by Chandola, Banerjee and Kumar. They define outlier detection as the problem of “[...] finding patterns in data that do not conform to expected normal behavior“. After an introduction [...]

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