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Clinical decision support systems

• Health IT expert weighs in on AI in healthcare

  While some healthcare organizations are playing with AI in healthcare, others still struggle with legacy systems. But there are use cases for AI, a health IT expert explains. Continue Reading

• Benefits of artificial intelligence include clinical support

  Artificial intelligence adoption in healthcare allows hospital staff to monitor patients at home and target potential new patients using demographics data analysis. Continue Reading

• Mobile devices in healthcare may one day appear 'invisible'

  For some CIOs, mobile devices in hospitals don't reach their full potential. Imagine a day when mobility becomes so intertwined with healthcare that it disappears into the background. Continue Reading

• Connected care a focus for CEO of Philips North America

  For Brent Shafer, CEO of Philips North America, the name of the health IT game is connected care. Shafer explains that this is his focus professionally and personally. Continue Reading

• When choosing medical imaging software, go with the enterprise model

  As healthcare providers upgrade or replace their medical imaging technology, they should strive for an enterprise approach rather than keeping strictly to cardiology, expert says. Continue Reading

• Health activation, care coordination platform for chronic conditions

  A North Carolina health system uses a care activation platform from Twine Health Inc., to coordinate care of patients with hypertension and reduce symptoms and hospital visits.Continue Reading

• Population health: Current, emerging health information management tech

  When it comes to population health, health information management tech plays an important role. A health IT expert discusses current and emerging technologies.Continue Reading

• Data analytics aids value-based reimbursement, but bigger goals loom

  Although data analytics will play a role in precision medicine, experts say we're far from achieving the full potential. Instead, the focus of analytics now is on value-based care.Continue Reading

• BI in healthcare is both appreciated and underused

  Providers can now do more than analyze past patient data with healthcare BI tools. They can possibly reduce readmissions and assign facility resources with predictive analytics.Continue Reading

• Cloud medical imaging platforms proving to be safe and effective

  Healthcare providers have a few different types of technology to choose from to help them view and store their imaging data. The content in this handbook differentiates the most frequently used imaging tech, but also illustrates how some of it can ...Continue Reading

• Semantic graph database underpins healthcare data lake

  A semantic graph database developer uses triple store technology to create healthcare data lakes so providers can use their own and open data for predictive analytics.Continue Reading

• Home healthcare company uses eCaring to stave off ER visits

  Population health management tool, eCaring, is helping one home healthcare company reduce ER visits of those with chronic diseases.Continue Reading

• Hospital saves $650K with healthcare workforce management in cloud

  By hosting healthcare workforce management in the cloud and using analytics, Saint Mary's Hospital was not only able to save thousands of dollars, but also improve patient care.Continue Reading

• Make patient documentation more flexible with SharePoint

  Enterprise content management systems, such as Microsoft's SharePoint, can aid clinical staff with patient documentation tasks.Continue Reading

• Clinical analytics platforms simplify healthcare data mining

  It can be difficult to organize and make sense of healthcare data sets without the help of clinical analytics. Find out what you should know before buying an analytics product.Continue Reading

• Hospital updates families with mHealth application

  In this video, learn how Miami Children's Health System transmits patient data and updates families using HealthGrid's mHealth app system.Continue Reading

• Business, clinical analytics tools blur healthcare principles

  Providers tempted to let their clinical analytics systems run without interference should check in occasionally to confirm they hit objectives.Continue Reading

• Clinical decision support system tracks quality care measures

  Providers that don't schedule checkups frequently enough can be reminded by providers that deploy a clinical decision support system.Continue Reading

• Healthcare workers breaking free from offices

  How well hospital IT departments can secure mobile devices and apps will go a long way in determining how employees can use these devices for work.Continue Reading

• How providers can harness big data in healthcare

  Preventive care and monitoring feedback through social media are two opportunities for providers to make better use of big data.Continue Reading

• Microsoft Project Adam may reach healthcare specialties

  Dermatologists and radiologists should take notice of Microsoft's recent Project Adam announcement of artificial intelligence that specializes in visual recognition.Continue Reading

• Interoperable data in cancer registries key to improving treatment

  Greater interoperability between EHRs will help oncologists spend more time on treatment and less on managing their cancer registries.Continue Reading

• Intermountain healthcare big data analytics thrive with team input

  'Hotspotting,' or improving care for high-cost patients via healthcare big data analytics, is the subject of a five-year Intermountain project.Continue Reading

• Troubleshooting tips for BI and clinical analytics issues

  As use of clinical analytics and business intelligence grows in healthcare, so does the need for troubleshooting these data systems.Continue Reading

• Five areas of focus for a healthcare business intelligence program

  Defining healthcare business intelligence is the first step towards its use. A book on the subject has all of its definitions covered.Continue Reading

• Enterprise data warehousing needed in era of electronic health records

  More data, more problems? Find out why that's not the case in healthcare when providers take the right approach to enterprise data warehousing.Continue Reading

• Clinical analytics automation still requires the human touch

  Providers are stacking third-party clinical analytics providers' services on top of EHR systems to get more insight into patient population data.Continue Reading

• Next wave of physician crowdsourcing in healthcare: Treating patients?

  Crowdsourcing physicians' opinions online may be the future of patient care, but not before liability and reimbursement issues are settled.Continue Reading

• Clinical decision-making hinges on reliable analytics backups

  Many healthcare analytics professionals take backups for granted, not realizing their value until a backup failure cripples clinical decision-making.Continue Reading

• Mitigate new patient safety risks caused by health IT implementation

  The use of health IT brings new risks to patient safety; a symposium at HIMSS 2014 addresses how to mitigate those risks.Continue Reading

• Benefits, challenges of healthcare embedded analytics

  Organizations use decision support in many ways, but when providers have embedded analytics at the bedside, robust information helps deliver care.Continue Reading

• Root cause: Mitigating the gap in healthcare analytics

  Health IT professionals can embark on creative healthcare analytics programs after identifying where the use of data is being blocked.Continue Reading

• Improved healthcare information technology creating an analytics gap

  Health data is available from more sources than ever before, but organizations lack the ability to understand it. Recognize the analytics gap.Continue Reading

• Automated diagnostics: How supercomputers fit in radiology's future

  Imagine a supercomputer like Watson working in tandem with radiologists to deliver automated diagnostics. Our expert says it's already happening.Continue Reading

• Missing pieces: CV risk calculator needs more risk factors

  A new CV risk calculator helps determine patients' heart health, but the equation is incomplete without data analytics to help back up findings.Continue Reading

• EHRs should link to data dashboards to improve clinical performance

  Physicians are often too busy treating patients to identify those most in need of care, something customized data dashboards can change.Continue Reading

• A big data project should be part of hospitals' future plans

  There are a few steps to take before implementing a big data system, including building a team and identifying goals.Continue Reading

• Clinical data analytics design strategies for healthcare providers

  How next-generation clinical data analytics can and will improve care far beyond the capacity of current quality measures reporting systems.Continue Reading

• Clinical decision support tools will include clinical data analytics

  Clinical decision support has yet to be widely accepted by physicians. Will future versions of CDS change that trend?Continue Reading

• Folding health information exchange into relevant clinical practice

  Health information exchange must move beyond data repositories and be searchable, useful content for physicians, says Jonathan Gold, regional CMIO.Continue Reading

• Common health care data analysis methods

  Data gleaned from business intelligence systems is useless if it's not easy to read. This tip describes four common methods of data analysis for clinical and financial data.Continue Reading

• Health care business intelligence in a clinical setting

  This tip discusses clinical uses of business intelligence systems including quality reporting, claims analysis, evidence-based medicine and patient registry analysis.Continue Reading

• How BI enhances evidence-based decision making in health care

  By providing key data about performance, efficiency, financial and customer service, business intelligence systems let health care organizations make better decisions.Continue Reading

• How BI reporting helps address meaningful use

  Quality reporting is a key component of meaningful use. In addition to providing consistent data, BI systems and data warehouses can track patient outcomes and business processes.Continue Reading

• BI implementation must meet needs of organization, its infrastructure

  Health care organizations need to make sure business intelligence projects maintain data quality and consistency while meeting HIPAA requirements. Data integration matters, too.Continue Reading

• Business intelligence planning for health care: Know where to start

  Before BI implementation can begin, several key questions must be answered. Chief among them: what information will be needed and what business processes will be addressed.Continue Reading

• Using ECM systems to manage unstructured patient data

  many providers' best efforts, much patient data remains on paper, CDs or other unstructured formats. Enterprise content management can help, but it's a hard sell to CEOsContinue Reading

• How ECM implementation reduces medical record storage footprint

  Thanks to enterprise content management software, one South Florida health system has digitized numerous paper records while expanding clinical and business use of e-forms.Continue Reading

• Comparing standalone ECM software to EHR vendor offerings

  Many EHR vendors offer enterprise content management modules. These offerings can be more expensive than standalone ECM systems, but they address the key issue of integration.Continue Reading

• ECM software encourages interoperability, addresses meaningful use

  By adding structure to data in EHR and PACS silos, enterprise content management software can help health care providers achieve the interoperability that meaningful use requires.Continue Reading