Clinical data analytics software and systems

During COVID-19, CIOs struggle with predictive analytics programs

Predictive analytics in healthcare has been a useful tool during the COVID-19 pandemic. It has helped healthcare organizations foresee changes in bed capacity or disruptions in the supply chain for ... Continue Reading

Nvidia brings federated learning to COVID-19 patient data

Researchers from 20 healthcare institutions built an AI model to predict the supplemental oxygen needs for COVID-19 patients. And they did so without ever sharing patient data. Continue Reading

Investment in talent key for data quality in healthcare

Investing in training employees on proper data gathering and management practices is crucial for healthcare organizations seeking to ensuring data quality and patient care. Continue Reading

Mayo Clinic leans on Google Cloud for AI success

Mayo Clinic has spent the last 10 months focused on data and analytics initiatives with a long-term goal in mind: to make healthcare data more accessible and meaningful for clinicians. The ... Continue Reading

Growth of AI in clinical decision support still slow

The COVID-19 pandemic has given some healthcare technologies a boost. AI in clinical decision support isn't one of them, according to experts. Continue Reading

Google Cloud, Harvard release COVID-19 Public Forecasts

Google Cloud, in partnership with the Harvard Global Health Institute, released public models that can predict new COVID-19 cases, deaths and hospitalizations 14 days out. Continue Reading

Collective effort required to address health inequities

In this Q&A, CommonSpirit Health's Rich Roth says extensive partner relationships may help healthcare organizations address health inequities. Continue Reading

AI COVID-19 tech bolsters social distancing, supply chains

As the world waits for staggered reopenings and a return to normal life, AI-based technology is assisting scientists with diagnosis, detection, research and remote-based workforces. Continue Reading

Pandemic crystallizes the need for remote healthcare

COVID-19 will change the way healthcare operates, according to a report from consultancy Frost & Sullivan. But permanent change will require a CIO's deft hands. Continue Reading

3 tasks healthcare CIOs should pursue during pandemic

During the COVID-19 crisis, healthcare CIOs are enabling a remote workforce and scaling out telehealth options. But they can also streamline a few processes that will help patients and providers. Continue Reading

CTA targets AI in healthcare with an AI standard

A team of more than 50 companies is working together to develop AI standards for healthcare. A recent effort was accredited by the American National Standards Institute. Continue Reading

Microsoft launches AI for Health initiative

Microsoft's new health AI initiative may do some good for partner nonprofit and academic healthcare groups, but it may raise some data privacy concerns as well. Continue Reading

Google Health's AI breast cancer screening tool stirs debate

New research from Google Health shines a light on the controversy for AI in cancer screening within the healthcare community. Continue Reading

New Microsoft Office 365 features relevant to healthcare organizations

At the 2019 Ignite conference, Microsoft announced several new innovations to Microsoft Office 365, many of which can benefit healthcare organizations and clinical staff. Continue Reading

Healthcare 2020 trends emphasize virtual, holistic patient care

Forrester Research and Frost & Sullivan say telehealth and social determinants of health data analytics platforms will gain ground in 2020. Continue Reading

RSNA inundated by AI in radiology

At RSNA, AI in radiology was everywhere. Unlike in years past, image analysis was just the tip of the iceberg. Analysts from Frost & Sullivan give their take. Continue Reading

Cerner-AWS partnership deepens ties

EHR vendor Cerner is expanding its relationship with AWS for added AI and machine learning capabilities as well as tools like a digital scribe that can translate speech to text. Continue Reading

AI usage in healthcare upgrades imaging, analytics, automation

Computer vision, deep learning and automation are making greater inroads into radiology, robot-assisted surgeries, virtual nursing assistants and fraud detection. Continue Reading

Philips Research brings AI, AR to healthcare

Scientists at Philips Research North America are applying AI and augmented reality to healthcare -- tools they hope will be game changers for clinicians and patients. Continue Reading

Cambridge Consultants demos show uses of AI

At a demo event, Cambridge Consultants highlighted some of the applications of AI with a system that can count TB cells in a sputum sample and a system that can fix image distortion. Continue Reading

Healthcare claims data analytics detects emerging conditions

Healthcare organizations can apply analytics to claims data to identify markers for emergent conditions, allowing physicians to intervene preemptively. Continue Reading

Prognos and Datavant partner to improve health data analytics

Combining Prognos software and Datavant data sharing, healthcare data analytics vendors intend to improve early detection of disease, decision-making and patient care. Continue Reading

Potential for AI tools in healthcare lies in the long game

AI in healthcare has the potential to help relieve physicians of mundane tasks, and the potential for greater cognitive capabilities down the road. Continue Reading

Insurers join forces to control value-based healthcare delivery

Commercial insurers are key drivers in the transition to value-based care in health systems through joint ventures, analytics and greater control over delivery of patient care. Continue Reading

Multimodal machine learning in healthcare aids patient consults

In this Q&A, Louis-Philippe Morency talks about how he's building algorithms that capture and analyze the three V's of communication -- voice, verbal and visual. Continue Reading

Seeing through the hype: Where AI in healthcare shines

While AI in healthcare shines in clinical areas like radiology, it is currently more widely adopted in nonclinical areas, such as medication development by pharmaceutical companies. Continue Reading

Healthcare organizations continue to avoid risky AI adoption bets

AI adoption in the clinical care setting has been slow due to patient safety concerns, regulatory restrictions and too much risk associated with AI. Continue Reading

Healthcare analytics popularity grows along with focus on performance

The healthcare analytics market is growing, thanks to the provider push for value-based care and improved performance, according to a Chilmark Research report. Continue Reading

How healthcare AI technology can improve patient outcomes

There are seemingly endless possibilities for AI in healthcare, whether it's as a set of second eyes for radiologists or as a tool to improve patient engagement. Continue Reading

Population health management programs require goal alignment

In this Q&A, KLAS population health researcher Bradley Hunter says successful population health management programs hinge on goal alignment. Continue Reading

Physicians can reduce medical errors with the help of AI

EHRs on their own don't always have the capabilities needed to detect abnormalities in a patient's chart. Fortunately, AI can help detect medical errors that may go unnoticed. Continue Reading

AI in radiology is having a moment -- one that has staying power

Two radiologists provide examples of how AI is making its mark in their field, such as comparing old and new images and helping prioritize critical cases. Continue Reading

Trifacta data prep tool helps blend disparate data sources

Handling diverse data sources usually consumes precious developer time. That led healthcare CRM company SymphonyRM to hand the data prep task to business analysts. Continue Reading

How data duplication in healthcare is diagnosed

Electronic health record systems have helped reduce duplicate patient data in hospitals -- but they haven't cured the problem. Find out how organizations are addressing the issue. Continue Reading

Machine learning in healthcare: Software detects drug theft

Using machine learning, Invistics software provides a real-time look at drug theft incidents, according to one health system's drug diversion specialist. Continue Reading

Payer-provider partnerships may fuel future affordable care

Taking an untraditional route to value-based care, payer-and-provider partnerships highlight the collaborations between benefit planners and healthcare systems. Continue Reading

AI technology in healthcare advances surgical, clinical support

The healthcare industry is beginning to warm up to AI, as the technology helps providers make clinical decisions and assists with certain types of surgery. Continue Reading

March to value-based healthcare results in 'payviders'

Our columnist's research indicates that value-based care is prompting the creation of 'payviders,' but the pace is slow. Technological considerations also come into play. Continue Reading

Payer-provider partnerships spurred by data, value-based care

Once they were two groups with conflicting interests, but now the convergence of healthcare payers and providers is more common as the industry struggles to control costs. Continue Reading

Improved patient outcomes underscore convergence efforts

Clinicians, health IT professionals, insurance carriers and others have started a slow roll toward improved patient outcomes using methods based on healthcare reform. Continue Reading

Improved patient outcomes underscore convergence efforts

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Value-based care induces payer-provider convergence

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Healthcare and AI are a good pair -- until vendors overpromise

Excessive promotion and grandiose promises from vendors like IBM are making it hard to accurately judge what the proper role of AI in healthcare should be. Continue Reading

The present and future use of AI in healthcare

The use of AI and machine learning in healthcare has already changed the way some clinical and administrative processes are handled, and it could help reinvent how care is provided. Continue Reading

Cloud in healthcare rises above privacy, compliance pressures

The cloud hovers over just about everything these days, including hospitals and health systems. Healthcare CIOs fully understand that migration is inevitable, but security of sensitive patient records and maintaining compliance with federal health and privacy regulations can create huge stumbling blocks. That also partly explains why the flight path to the cloud in healthcare has lagged behind many other industries.

In September's Pulse, our editor's letter explores the pain of healthcare organizations and their IT decision-makers who have to balance the need to modernize with the concerns for patient privacy. Along those lines, our cover story examines the brave new world of the cloud in healthcare and focuses on one CIO who maneuvered through the legal gauntlet of HIPAA-mandated vendor-provider business associate agreements. In another feature, learn how establishing healthy working relationships with vendors can help hospitals get past the anxiety of securely storing documents in a cloud architecture.

Also in this issue, exhaustive research reveals acquisitions taking place in healthcare and finds that artificial intelligence applied to medical imaging is attracting a significant amount of investment dollars. In addition, CIOs can lower the pressure to implement cloud in healthcare programs in their hospitals by following five diagnostic and testing steps that can lead to innovative software applications and successful deployments. And in another feature, we look at the widespread opioid epidemic and the role health IT can play in battling the crisis using weapons like analytics and integrating electronic health records with prescription databases.

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5 steps for creating a healthcare technology innovation plan

Before investing in and implementing a new technology initiative, healthcare CIOs should first diagnose the condition they want to solve. Then they can research possible cures. Continue Reading

In the medical imaging market, AI drives investment dollars

Investors in medical imaging technology leaned toward software that improves AI-related radiology and associated workflows, as evidenced by detailed research. Continue Reading

Opioid crisis solutions include analytics, EHR integration

Health IT stands ready to help battle opioid deaths through greater use of data analytics and improved integration of EHRs and prescription drug databases. Continue Reading

Cloud for healthcare presses on but is slowed by HIPAA anxiety

Facing mounting pressure to take steps toward the healthcare cloud, hospital systems find themselves balancing modern infrastructure trends with HIPAA safeguards. Continue Reading

Why the healthcare BAA makes the cloud journey much tougher

Applying public cloud to healthcare can create a brave new world for hospitals. The CTO of Providence Health & Services strongly advises reading the healthcare BAA very carefully. Continue Reading

Group taps health benefits platform to personalize choices

To boost benefits offerings, the Healthcare Transformation Alliance chose the Welltok platform. All 47 member companies will now share data on claims, health outcomes and more. Continue Reading

AI lowers hurdles to digital transformation of healthcare

Depending on the organization, the digital transformation of healthcare comes in many stages and flavors. Consensus dictates that artificial intelligence is one of the major reasons for undertaking the painstaking process of transformation from paper-based to digitized forms of healthcare. AI's potential benefits are seen as enormous in helping meet the never-ending quest by hospitals and health systems to provide more efficient and cost-effective patient care.

The July issue of Pulse opens with our editor's letter and great expectations for improved patient engagement that can come with the digital transformation of healthcare. Along those lines, our cover story examines the roadblocks to digital transformation and AI implementation, including slowdowns in government funding, landing the right tech skills and ensuring accurate data -- as seen through the eyes of hospital IT professionals who share their experiences in overcoming these challenges. In another feature, we look at the rewards of going digital and implementing AI -- greater integration of electronic health records, better access to patient data, more accurate diagnostics and stronger population health management.

Also in this issue, infograph statistics show the critical role AI can play in preventing heart attacks and diagnosing early stages of cancer; healthcare APIs take center stage among government health regulators; and AI's great strengths don't necessarily immunize it from clinical fraud, hacks and medical errors.

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Healthcare APIs weave into common lingo of federal officials

It's hard to imagine that a federal health policy announcement would have ever included the term 'API', but it's on the minds of health regulators. Continue Reading

Healthcare digital transformation maps the new patient journey

The modern patient experience features flavors of consumerism combined with healthcare data. Giving patients greater access to that information is one area in which technology options thrive. Continue Reading

Use of AI in healthcare seen saving lives of patients

Prevention of heart attacks and diagnoses of cancer may one day improve, thanks to AI. Infograph statistics reveal promising findings for AI applications in healthcare. Continue Reading

Healthcare AI struggles with funding and data quality

Finding enough funds and validating data quality can be heavy challenges when it comes to adopting AI technology in healthcare organizations. Hospital IT professionals explain their approaches. Continue Reading

Use of AI in healthcare seen saving lives of patients

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Healthcare AI struggles with funding and data quality

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Value-based care initiatives benefit from the use of analytics

As healthcare organizations begin to move toward value-based care, analytics can play a critical role in detecting high-risk patients and tracking patterns for certain conditions. Continue Reading

Improving population health goal of data analytics research

Data analytics may be just what the doctor ordered for a Nevada hospital. Findings from a study of genetic, medical, environmental and demographic data could improve population health. Continue Reading

Healthcare data analytics success grows when IT advises execs

Educating healthcare executives about data analytics, and seeing that healthcare organizations invest in data, is critical, according to a panel of experts. Continue Reading

Google, Fitbit, startups storm into healthcare AI

Google is moving quickly into healthcare, forging alliances with Fitbit and selling AI services to smaller health IT vendors. Meanwhile, Fitbit is expanding into healthcare. Continue Reading

Payer-provider convergence hinges on data integration

A hospital population health officer and vendor CEO detail their views about payer-provider partnerships. One key aspect is the ability to boost customer service efforts. Continue Reading

Patient readmission rates may fall with more AI use in healthcare

AI has a number of uses in healthcare, including analyzing patient data to determine which patients have a high risk of being readmitted after discharge. Continue Reading

Health informaticians weave medicine, tech and science

Natalie Pageler, M.D., explains the setup of informaticist teams at Stanford Children's Health and what motivates clinicians to join this data-heavy field. Continue Reading

Medical imaging data will go further with informatics, mobile

Learn about seven areas to watch when it comes to healthcare imaging data, including how informatics and artificial intelligence will use such information. Continue Reading

HIMSS notebook: EHR trends embraced by vendors with AI and CRM

EHR trends were among the news at HIMSS 2018. Cerner and Salesforce are teaming to bring patient data into healthcare CRM. Meanwhile, Epic and Nuance promoted an AI assistant. Continue Reading

Cognitive computing in healthcare mends doctor-patient gaps

Cognitive computing and healthcare data aggregation may prove to be important bedside companions to doctors treating their patients in the era of medical specialization. Continue Reading

Analyzing stored medical image data helps picture the future

The analytics performed on medical images adds a new dimension to clinical data. For providers, this trend boosts population health management and precision medicine efforts. Continue Reading

Medical image storage sharpens focus on precise patient care

Personal photos in an album can conjure up all sorts of memories and emotions. Then there are personal photos of another kind that can mean the difference between life and death. In healthcare, clinical images of patients are critical to proper diagnosis and treatment. Once placed in envelopes and stored on metal shelves, those images -- be they X-rays, CT scans or MRIs -- now come in digital formats and have proliferated to the point where on-premises storage is cumbersome and inefficient. Hospital CIOs see the cloud as the answer to medical image storage and improved patient care by providing doctors with quick and ready access to medical images.

In the January issue of Pulse, our editor's letter takes that capability one step further, allowing IT pros to perform medical image analytics that can add a whole new dimension to population health management and precision medicine. Along those lines, our cover story examines the growing healthcare trend of vacating the premises … but not entirely. Security, privacy and control issues have prevented CIOs from going fully to the cloud. Instead, they're opting for hybrid cloud architectures. In another feature, we stress the importance of readily accessible and well-organized medical image storage in the cloud to make analytics performance more efficient and better at determining patient outcomes for individuals and large populations.

Also in this issue, we highlight the benefits of using a hybrid cloud storage approach to mine and analyze vast amounts of critical data from those images. Beneficial features include security, file activity monitoring, data loss prevention, data mining, disaster recovery, storage bursting, tiering, testing and cost controls.

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Good times: AI in healthcare brings promise, hype and challenges

I browsed through two vastly different reports on artificial intelligence (AI) this week, leading me to again wonder if there is substance on the matter or just a lot of hot air blowing around. My ... Continue Reading

How a healthcare data scientist can aid in value-based care

As hospitals begin to make the transition to value-based care, data scientists can help analyze patient trends that will lead to improved outcomes and better quality of care. Continue Reading

Telehealth technologies help save healthcare organization $4.6 million and more

Telehealth technology has the ability to help healthcare organizations save money, reduce costs and achieve better patient outcomes. That's what Emory Healthcare discovered. Continue Reading

SaaS app built on cognitive computing platform helps with medical codes

Data analytics and cognitive computing are helping one hospital ensure the correct medical codes are being assigned for Medicare reimbursement via a SaaS application. Continue Reading

Visual data analytics make genomics in healthcare possible

To fully realize genomics in healthcare, the right technology is needed to effectively leverage and use genomic data. One hospital is taking steps toward that goal. Continue Reading

Predictive analytics in healthcare helps improve OR utilization

It is expensive for a hospital to run multiple ORs, therefore it's important that the space is used efficiently. One hospital uses predictive analytics to improve OR utilization. Continue Reading

Wearable technologies, cloud guide the future of healthcare

The advancement of cloud, artificial intelligence and analytics will go a long way in determining the future of health IT. Continue Reading

Six components of a healthcare data analytics strategy

A successful healthcare analytics strategy combines six important pieces that our expert explains. Also learn pointers on how to carry out this data analytics plan. Continue Reading

Kaiser Permanente VP prescribes bigger role for healthcare data analytics

Terhilda Garrido is at the head of a heightened effort by health system Kaiser Permanente to use analytics to improve its patient care delivery. Continue Reading

Quiz: The continued development of big data and healthcare analytics

Are you using healthcare analytics to its full potential? Take this quiz to find out. Continue Reading

Clinical data warehouse boosts research, patient care quality

At least for larger facilities, the answer to the problem of hospital patient data in discrete silos could be a clinical data warehouse, as the UNC Healthcare System discovered. Continue Reading