Praedico
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28th VistA Community Meeting to Feature Top VistA Leaders
Former VA CIO Roger Baker, Oroville Hospital CEO Robert Wentz, and the VA's current CIO, Stephen Warren, will be addressing the 28th Vista Community Meeting (VCM) in Sacramento, CA in what promises to be one most important conferences of the VistA community to date. The conference, which takes place January 17-19 at the UC Davis School of Medicine campus in Sacramento, CA, will feature a stellar cast of Health IT leaders. In addition to Baker, Wentz, and Warren, keynote conference speakers include Dr. Seong Ki Mun, Chairman of OSEHRA, Howard Hays, CIO of the Indian Health Service (IHS), Theresa Cullen, Chief Medical Informatics Officer (CMIO) of the Veterans Health Administration (VHA), Stephen Oxley, Chief Medical Officer (CMO) of the Central Regional Hospital in North Carolina, and Denise LeFevre, CIO of Oroville Hospital.
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Accelerating Identification and Tracking of Pandemic Disease Outbreaks
A national biosurveillance program requires the collaboration of multiple federal, state and local agencies to provide a comprehensive view of a health-related event. Bitscopic's Praedico™ biosurveillance platform breaks down the data barriers among organizations with an extensible architecture that can incorporate any kind of data. The platform also delivers high performance by incorporating the latest technologies such as big data, NoSQL databases, and machine learning. Read More »
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Bitscopic
Bitscopic is a healthcare analytics and workflow platform empowering organizations to gain unique insights from ever increasing data, and achieve better healthcare outcomes through data driven decisions to optimize care. The company was founded in 2012 by two tech industry veterans who were inspired by the opportunity to use advanced software technology to initially mitigate the spread of infectious diseases. The company is headquartered in Silicon Valley and has development offices in Seattle, WA.
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Ebola in the United States: Short on Accountable 'Open' Information, Effective Systems Planning and Decision Making
Events in the present Ebola crisis prompt unease that the United States deployment of Web based, standardized population health and biosurveillance information services is fragmented, incomplete and insufficient, prompting me to write this blog. The United States has made significant progress in public health and medical preparedness since the 9/11 terrorist attacks; yet, poorly interconnected information systems add to our vulnerability to planning and response to viruses like Ebola or enviro virus EV-D68 that threaten the health of large populations. Today, a gap exists between information technology specialists and public health programmatic or scientific personnel.
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Joel Mewton
Joel Mewton is the Chief Technology Officer (CTO) of Bitscopic, a healthcare-focused data, analytics and product company. Joel manages Bitscopic’s infrastructure, charts the company’s technological roadmap, and generally just takes care of what needs to be done.
New Report: Top Challenges Facing HHS Includes Harnessing Data
In November 2019 the US Department of Health and Human Services (HHS) Office of Inspector General (OIG) released a new report, Top Management and Performance Challenges Facing HHS. Divided into six major sections, this report reviews the OIG's observations with respect to financial integrity of HHS programs, value and quality, protecting the health and safety of beneficiaries as well as the public at large, harnessing data to achieve these goals, and working across government. The fifth challenge, "Harnessing Data To Improve Health and Well-Being of Individuals," is particularly foundational. Read More »
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Payam Etminani
Payam Etminani is the CEO and Co-Founder of Bitscopic. Etminani co-founded Bitscopic after a colleague, friend and mentor at the U.S. Department of Veterans Affairs (VA), John Lopez, contracted a hospital acquired infection at a VA hospital. Read More »
PraedAlert
PraedAlert is a suite of clinical surveillance products developed by Bitscopic that transforms data from multiple data sources into meaningful insights, so your pharmacists, infection preventionists and Quality Management staff can intervene earlier, proactively identify issues and risks and achieve better healthcare outcomes for your patients and hospital. It uses data from various sources, including your Electronic Health Record (EHR) system to provide ongoing surveillance, real time alerts that are clear, consolidated, and actionable and designed to prompt immediate intervention at the point of care.
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PraediCare
Praedicare is a state of the art visualization, analytics and reporting system developed by Bitscopic that enables clinicians and administrators to discover, identify, and pursue opportunities to improve team coordination and deliver higher quality, predictable outcomes and care in the operating room (OR), post-anesthesia care unit (PACU) and intensive care unit (ICU). The OR, PACU and ICU have distinct needs since their focus is oriented towards acute care management, surgery, post-anesthetic recovery, critical care interventions and inpatient settings.
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Praedico
Praedico is a platform developed by Bitscopic that provides powerful visualization, analytics, and reporting capabilities with a focus on Public Health Biosurveillance and early detection, monitoring, and forecasting of infectious disease outbreaks. Using Big Data and machine learning technologies, Praedico will: Analyze vast amounts of data across multiple EHR (Electronic Health Records) domains, Detect relevant abnormalities to discover the “unknown unknowns” within the data, Alert users of abnormalities and facilitate the sharing of appropriate data with key decision makers.
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PraediGene
PraediGene is a laboratory workflow tool developed by Bitscopic and designed to allow users to electronically enter and track various medical lab tests. In addition to these core capabilities, PraediGene contains advanced computational biology features and interfaces with Electronic Health Record (EHR) systems. Once work items are entered, they are immediately available to all users for tracking, DNA analysis (when applicable), report generation, and generic workflow activities. PraediGene has the ability to associate and retrieve patient information directly from EHR systems. The DNA analysis features automatically predict and report resistance mutations given the organism’s genetic sequence. To ease reporting and transcription requirements, PraediGene is also able to generate “EHR friendly” input.
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PraediTrial
Identifying clinical trial sites that can fulfill subject recruitment goals can be a costly, time consuming, and inaccurate process. PraediTrial is a tool developed by Bitscopic that ensures a realistic assessment of trial sites’ subject population and capabilities to successfully conduct a clinical trial. In addition, PraediTrial stays with you through the recruitment cycle providing study coordinators with alerts to easily identify subjects for your trial.
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Shastri Purushotma
Shastri Purushotma is the Chief Content Officer at Bitscopic, a pioneering company in applying Artificial Intelligence to Medicine, as well as Chief Content Officer at B2B Buyer Insights, a research firm that is currently interviewing leaders in Finance on the Future of the Digital Economy. Read More »
Transforming Health Care Through A 360-Degree View Of Data
How medical care can be substantially improved through a full spectrum view of all factors that affect health was the topic of Payam Etminani's presentation at the 2019 IDGA Veterans Benefits Conference in Washington D.C. Etminani, the CEO of Bitscopic, argued that the ability to view all health data including social, environmental and genomic information in addition to the traditional clinical measures (vital signs, blood work, history of illness etc), would lead to significant improvement in care. Etminani described how recent advances in Big Data and Artificial Intelligence (AI) make combining and using these large and widely varied sets of information possible. Read More »
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Using Open Technology To Build a Biodefense Against the Coronavirus
As the number of US cases of the coronavirus rises, how will healthcare professionals be able to tell the difference between which panicked patients with similar symptoms has what? Even if the patient hasn't traveled to Wuhan or China recently, what if they sat at a Starbucks with someone who did? With the incubation time-lag before symptoms appear, who would even know? The challenge of monitoring 330 million people for infectious disease outbreaks is daunting. Take the flu as an example. During the last flu season which, as already discussed, was not as complex as this year's season, approximately 35.5 million Americans had flu symptoms, 16.5 million received medical care, 490,600 were hospitalized and 34,200 died.
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