Archive for the ‘Health IT’ Category

Infographic: Six Strategies to Increase EHR Optimization & Usage

August 19th, 2019 by Melanie Matthews

Once a healthcare organization selects an electronic health record (EHR), the real work begins. Organizations need to leverage all of the system’s capabilities to ensure the most benefit out of the EHR investment, according to a new infographic by ChartLogic.

The infographic outlines six key strategies for increasing EHR optimization and usage.

While widespread adoption of electronic health records has generated new streams of actionable patient data, John C. Lincoln has taken data mining to new levels to enhance performance of its accountable care organization (ACO).

Beyond the EMR: Mining Population Health Analytics to Elevate Accountable Care reviews the concentrated data dig undertaken by John C. Lincoln to prepare for participation in the CMS Medicare Shared Savings Program (MSSP).

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Infographic: Electronic Health Record Adoption

August 14th, 2019 by Melanie Matthews

Electronic health record adoption has increased in recent years as more and more healthcare professionals become aware of its many benefits, according to a new infographic by MedicoReach.

The infographic examines EHR adoption rates by various demographic segments and benefits and barriers to EHR adoption.

Health Analytics in Accountable Care: Leveraging Data to Transform ACO Performance and Results Between Medicare’s aggressive migration to value-based payment models and MACRA’s 2017 Quality Payment Program rollout, healthcare providers must accept the inevitability of participation in fee-for-quality reimbursement design—as well as cultivating a grounding in health data analytics to enhance success.

As an early adopter of the Medicare Shared Savings Program (MSSP) and the largest sponsor of MSSP accountable care organizations (ACOs), Collaborative Health Systems (CHS) is uniquely positioned to advise providers on the benefits of data analytics and technology, which CHS views as a major driver in its achievements in the MSSP arena. In performance year 2014, nine of CHS’s 24 MSSP ACOs generated savings and received payments of almost $27 million.

Health Analytics in Accountable Care: Leveraging Data to Transform ACO Performance and Results documents the accomplishments of CHS’s 24 ACOs under the MSSP program, the crucial role of data analytics in CHS operations, and the many lessons learned as an early trailblazer in value-based care delivery.

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Infographic: Understanding Certified Health IT

August 5th, 2019 by Melanie Matthews

Health IT Certification by the Office of the National Coordinator for Health Information Technology supports clinician engagement in clinical practice improvement and care coordination activities using health IT—including participation in CMS programs, according to a new infographic by ONC.

The infographic examines 60 of the health IT certification criteria.

Health Analytics in Accountable Care: Leveraging Data to Transform ACO Performance and Results Between Medicare’s aggressive migration to value-based payment models and MACRA’s 2017 Quality Payment Program rollout, healthcare providers must accept the inevitability of participation in fee-for-quality reimbursement design—as well as cultivating a grounding in health data analytics to enhance success.

As an early adopter of the Medicare Shared Savings Program (MSSP) and the largest sponsor of MSSP accountable care organizations (ACOs), Collaborative Health Systems (CHS) is uniquely positioned to advise providers on the benefits of data analytics and technology, which CHS views as a major driver in its achievements in the MSSP arena. In performance year 2014, nine of CHS’s 24 MSSP ACOs generated savings and received payments of almost $27 million.

Health Analytics in Accountable Care: Leveraging Data to Transform ACO Performance and Results documents the accomplishments of CHS’s 24 ACOs under the MSSP program, the crucial role of data analytics in CHS operations, and the many lessons learned as an early trailblazer in value-based care delivery.

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Infographic: Healthcare Cloud Data Security Report

July 31st, 2019 by Melanie Matthews

Some 32 percent of healthcare organizations store 100 percent of their sensitive data (e.g., healthcare data and the personal data of customers and employees) in the cloud. However, lack of sufficient budget could prevent at least 30 percent of them from achieving their data security goals, according to a new infographic by Netwrix Corporation.

The infographic examines the state of healthcare data security in the cloud, how healthcare organizations plan to strengthen cloud security data as well as cloud security budgeting and other trends.

2018 Healthcare Benchmarks: Telehealth & Remote Patient MonitoringArtificial intelligence. Automation. Blockchain. Robotics.

Once the domain of science fiction, these telehealth technologies have begun to transform the fabric of healthcare delivery systems. As further proof of telehealth’s explosive growth, the use of wearable health-tracking devices and remote patient monitoring has proliferated, and the Centers for Medicare and Medicaid Services (CMS) has added several new provider telehealth billing codes for calendar year 2018.

2018 Healthcare Benchmarks: Telehealth & Remote Patient Monitoring delivers the latest actionable telehealth and remote patient monitoring metrics on tools, applications, challenges, successes and ROI from healthcare organizations across the care spectrum. This 60-page report, now in its fifth edition, documents benchmarks on current and planned telehealth and remote patient monitoring initiatives as well as the use of emerging technologies in the healthcare space.

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Infographic: 5 Ways Clinical Mobility Can Help Move the Needle on Patient Outcomes

July 8th, 2019 by Melanie Matthews


With a focus on patient-centered care and value-based reimbursement, healthcare providers are searching for solutions that move the needle on patient outcomes and satisfaction, according to a new infographic by Spectralink.

The infographic examines 5 ways in which clinical mobile devices help to improve communication among care team members, accelerate patient response times and provide a more personal connection between clinicians and their patients.

A New Vision for Remote Patient Monitoring: Creating Sustainable Financial, Operational and Clinical OutcomesAs healthcare moves out of the brick-and-mortar traditional setting into patients’ homes and their workplaces, and becomes much more proactive, the University of Pittsburgh Medical Center (UPMC) has been expanding its remote patient monitoring program. The remote patient monitoring program at UPMC has its roots in the heart failure program but has since expanded to additional disease states across the integrated delivery system’s continuum of care.

A New Vision for Remote Patient Monitoring: Creating Sustainable Financial, Operational and Clinical Outcomes delves into the evolution of UPMC’s remote patient monitoring program from its initial focus on heart failure to how the program was scaled vertically and horizontally. Click here for more information.

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Infographic: How Much Denied Claims Are Costing Providers

June 28th, 2019 by Melanie Matthews

On average, 5 percent to 10 percent of healthcare claims are denied, and 65 percent of these are never resubmitted, according to a new infographic by Change Healthcare.

The infographic illustrates how much denied claims are costing providers, how much providers must spend to get paid, and how artificial intelligence can help predict which claims are at risk for denial prior to submission.

2018 Healthcare Benchmarks: Telehealth & Remote Patient MonitoringArtificial intelligence. Automation. Blockchain. Robotics.

Once the domain of science fiction, these telehealth technologies have begun to transform the fabric of healthcare delivery systems. As further proof of telehealth’s explosive growth, the use of wearable health-tracking devices and remote patient monitoring has proliferated, and the Centers for Medicare and Medicaid Services (CMS) has added several new provider telehealth billing codes for calendar year 2018.

2018 Healthcare Benchmarks: Telehealth & Remote Patient Monitoring delivers the latest actionable telehealth and remote patient monitoring metrics on tools, applications, challenges, successes and ROI from healthcare organizations across the care spectrum. This 60-page report, now in its fifth edition, documents benchmarks on current and planned telehealth and remote patient monitoring initiatives as well as the use of emerging technologies in the healthcare space.

Get the latest healthcare infographics delivered to your e-inbox with Eye on Infographics, a bi-weekly, e-newsletter digest of visual healthcare data. Click here to sign up today.

Have an infographic you’d like featured on our site? Click here for submission guidelines.

Infographic: Where is the Energy Behind the Health Data Graph?

June 24th, 2019 by Melanie Matthews

The idea behind the health data graph is that right place, right time intervention can drive behavior change and that other data sources beyond clinical and claims data are required to understand the consumer well enough to drive behavior change. Clinical and claims data alone don’t drive behavior change, but expose clinical solutions. Consumer data expression is a far larger data set, much more important in providing a longitudinal patient view in areas like engagement preferences, according to a new infographic by Oliver Wyman.

The infographic examines types of health data, its potential impact, along with market dialogue and market activity.

Health Analytics in Accountable Care: Leveraging Data to Transform ACO Performance and Results Between Medicare’s aggressive migration to value-based payment models and MACRA’s 2017 Quality Payment Program rollout, healthcare providers must accept the inevitability of participation in fee-for-quality reimbursement design—as well as cultivating a grounding in health data analytics to enhance success.

As an early adopter of the Medicare Shared Savings Program (MSSP) and the largest sponsor of MSSP accountable care organizations (ACOs), Collaborative Health Systems (CHS) is uniquely positioned to advise providers on the benefits of data analytics and technology, which CHS views as a major driver in its achievements in the MSSP arena. In performance year 2014, nine of CHS’s 24 MSSP ACOs generated savings and received payments of almost $27 million.

Health Analytics in Accountable Care: Leveraging Data to Transform ACO Performance and Results documents the accomplishments of CHS’s 24 ACOs under the MSSP program, the crucial role of data analytics in CHS operations, and the many lessons learned as an early trailblazer in value-based care delivery.

Get the latest healthcare infographics delivered to your e-inbox with Eye on Infographics, a bi-weekly, e-newsletter digest of visual healthcare data. Click here to sign up today.

Have an infographic you’d like featured on our site? Click here for submission guidelines.

Infograpic: Get Rid of PHI Securely

June 21st, 2019 by Melanie Matthews

HIPAA requires proper disposal methods for protected health information (PHI), according to a new infographic by First Healthcare Compliance.

The infographic examines types of PHI and disposal methods for various types of PHI.

A New Vision for Remote Patient Monitoring: Creating Sustainable Financial, Operational and Clinical OutcomesAs healthcare moves out of the brick-and-mortar traditional setting into patients’ homes and their workplaces, and becomes much more proactive, the University of Pittsburgh Medical Center (UPMC) has been expanding its remote patient monitoring program. The remote patient monitoring program at UPMC has its roots in the heart failure program but has since expanded to additional disease states across the integrated delivery system’s continuum of care.

A New Vision for Remote Patient Monitoring: Creating Sustainable Financial, Operational and Clinical Outcomes delves into the evolution of UPMC’s remote patient monitoring program from its initial focus on heart failure to how the program was scaled vertically and horizontally. Click here for more information.

Get the latest healthcare infographics delivered to your e-inbox with Eye on Infographics, a bi-weekly, e-newsletter digest of visual healthcare data. Click here to sign up today.

Have an infographic you’d like featured on our site? Click here for submission guidelines.

Infographic: Digitizing the Patient Experience

June 12th, 2019 by Melanie Matthews

Every step of the patient journey should be treated uniquely for technology to have a positive, transformational effect. From the moment a patient steps foot in a hospital or clinic at check-in, to aftercare delivered through videoconferencing, every part of the patient experience can benefit from thoughtful digitization, according to a new infographic by AT&T.

The infographic breaks down each of these steps individually.

2018 Healthcare Benchmarks: Telehealth & Remote Patient MonitoringArtificial intelligence. Automation. Blockchain. Robotics.

Once the domain of science fiction, these telehealth technologies have begun to transform the fabric of healthcare delivery systems. As further proof of telehealth’s explosive growth, the use of wearable health-tracking devices and remote patient monitoring has proliferated, and the Centers for Medicare and Medicaid Services (CMS) has added several new provider telehealth billing codes for calendar year 2018.

2018 Healthcare Benchmarks: Telehealth & Remote Patient Monitoring delivers the latest actionable telehealth and remote patient monitoring metrics on tools, applications, challenges, successes and ROI from healthcare organizations across the care spectrum. This 60-page report, now in its fifth edition, documents benchmarks on current and planned telehealth and remote patient monitoring initiatives as well as the use of emerging technologies in the healthcare space.

Get the latest healthcare infographics delivered to your e-inbox with Eye on Infographics, a bi-weekly, e-newsletter digest of visual healthcare data. Click here to sign up today.

Have an infographic you’d like featured on our site? Click here for submission guidelines.

Guest Post: Artificial Intelligence’s Impact on the Future of Patient Care

June 11th, 2019 by Steve Bradshaw

Healthcare organizations that adopt AI will become more efficient; their professional judgments will become more accurate and their health predictions better informed.

In the near future, applications of artificial intelligence (AI) will play an increasingly important role in healthcare services. AI’s ability to assist in managing electronic health records, as well as in diagnosing and treating patients, will prove too valuable for healthcare providers and administrators to ignore. By adopting AI, their operations will become more efficient, their professional judgments more accurate, and their health predictions better informed.

Making Electronic Health Records Management More Flexible

Electronic health record (EHR) systems are expensive to maintain and cumbersome to use. AI is already being applied to make EHR systems more efficient. AI can extract and index information from provider notes and help personalize treatment plans. In the near future, AI could make it easier for providers to continually customize their EHR systems to better meet the changing needs of their practices to save time and improve patient outcomes.

Improving Diagnoses and Treatment

Computers can analyze massive amounts of data. They also excel at recognizing patterns. Put these two abilities together, and you get AI’s extraordinary power to successfully perform tasks that previously required human intelligence—in some cases, even surpassing humans in accuracy.

In a process called “deep learning,” scientists train AI systems using large amounts of labeled data. The AI is then able to identify patterns by itself when given data to which it hasn’t yet been exposed. In healthcare, deep learning will train AI systems to help clinicians provide more accurate diagnoses, identify patients at risk of various diseases and conditions, and create individualized treatment plans.

A recent study found that AI outperformed radiologists at finding cancer on CT scans used to screen smokers for lung cancer. When prior scans were not available, the AI did better than all six radiologists in the study, coming up with both fewer false positives and fewer false negatives. When there were prior images, the AI and the radiologists were equally accurate. Although this was a preliminary study, it shows how near-future applications of AI can provide clinicians with more accurate diagnostic and predictive information than is available to them now. The results of this study also may enable radiologists to make more frequent life-saving identifications of early-stage cancer and other diseases.

In addition to reading images, AI will be able to extract useful information from patients’ medical records. By finding patterns in the medical histories, AI could provide warnings when patients are at risk of developing conditions such as sepsis, diabetes or heart disease. An area of intense interest now is using AI to identify which patients are most at risk of being re-admitted to a hospital after being discharged.

AI may also reduce the amount of trial and error involved in prescribing medications and other treatments. It can help identify the treatments most likely to succeed based on each patient’s unique combination of genes, medical history and environmental influences.

The Time Is Right

In the past, there was more resistance to using AI in healthcare. Now, providers and the public are increasingly ready to accept the use of this cutting-edge technology to make healthcare administration more efficient and providers’ decisions more accurate.

Healthcare professionals are seeing what AI can bring to their practices. At the same time, the public has gotten used to the idea of self-monitoring their health using smartphones and smart watches. More work still needs to be done to implement industrywide standards and to safeguard patient privacy, but the benefits of AI in healthcare now appear overwhelming. It is inevitable that healthcare providers and organizations will soon come to increasingly rely on AI applications.

This could be just the beginning. How well AI can “think” depends in large part on how much computing power is available — and that power is increasing exponentially.

Healthcare in the more distant future may include AI applications that we can’t even imagine now. In the meantime, healthcare providers and administrators may soon enjoy greater efficiency and cost containments, while patients could benefit from more accurate diagnoses and effective treatments.

Sources

https://www.nytimes.com/2019/05/20/health/cancer-artificial-intelligence-ct-scans.html
https://www.nature.com/articles/s41591-019-0447-x
https://hbr.org/2018/12/using-ai-to-improve-electronic-health-records
https://becominghuman.ai/the-role-of-ai-in-healthcare-technology-6c33a6eee18c
https://www.internationalsos.com/client-magazines/in-this-issue-3/how-ai-is-transforming-the-future-of-healthcare
https://www.appian.com/blog/the-growing-role-of-ai-in-healthcare/

About the Author: Steve Bradshaw began working in the medical gas and environmental industry in 1991, starting Evergreen Medical Services, Inc. in the Carolinas in 1997.