Slides by Rashi Venkataraman, Executive Director, Prevention & Population Health, AHIP, presented at eHI's December 4, 2018 Healthcare Data Governance Board Executive Roundtable on putting Social Determinants of Health Data into action.

Slides from Simplifying Prior Authorization Executive Roundtable presented by Anupam Goel, MD, Chief Health Information Officer, Clinical Services, UnitedHealthcare.

Presentation reviewed the potential format for four future interventions to simplify prior authorization.

Value-based payment models are transforming a sizable portion of the U.S. healthcare economy by aligning provider compensation with improvements in care and cost controls. However, this shift in the way care is measured, billed and paid is far from complete or certain. Innovation and experimentation are ongoing, and a range of issues could slow or add costs to progress.

Breaking Borders in Patient-Centric Medicine

Patient-centric care means faster, more accurate, painless and hopefully, failsafe delivery of medical care to patients with the smallest margin of error possible. This type of care is continuously evolving.

A number of companies have created systems that personalize patient care while ensuring all data regarding each and every patient is accurate, protected, and easily accessible 24/7. In an industry that is so huge, one thing modern technology brings back to the medical arena is personalized care—but with the accuracy, speed, and interface of modern technology.  

This article highlights a number of topics, including: 

1. Introducing telemedicine
2. Continuous patient monitoring
3. Wind tunnel technology fights lung disease
4. Biosensor monitors critical signs
5. Needle free blood collection

The full ECN article can be viewed at this link.  

The opportunities and challenges of data analytics in health care

This report is part of "A Blueprint for the Future of AI," a series from the Brookings Institution that analyzes the new challenges and potential policy solutions introduced by artificial intelligence and other emerging technologies.  This report specifically addresses topics such as sensitivity of care decisions, problematic data conventions, institutional practices, misaligned incentives, and ultimately concludes with policy recommendations.

The full report can be viewed at this link.  

This paper helps the healthcare industry debunk several myths surrounding SDOH and it's uses.

How AI is Transforming Clinical Trial Recruitment: Including Best Practices

The medical world is shifting underneath our feet.

To keep up with the rising demands of empowered patients, physicians and pharma businesses regularly test innovative treatments and medicines during rigorous clinical trials.

But one misguided move can trigger a domino effect, such as when the wrong patients are selected for a clinical trial.

Today’s infographic comes to us from Publicis Health, and it highlights why the current model of clinical trial recruitment urgently needs to change.  The article also included some important insights for a patient-based approach, which can yield advantages and added value to recruitment, engagement, and data collection.  

Best Practices

• Omni-channel targeting - Actively reaching out to patients, wherever they are.
• Predictive analytics - Continually refining media channels and messaging to further patient interest
• Ongoing communications - Nurturing relationships with patients, starting with the initial outreach.

The full infographic and article can be viewed at this link.  

Healthcare Leaders on Unlocking the Value of Disruption: “Digital Innovation Needs to be a Strategic Priority”

Health systems are feeling the pressure from digital disruptors coming into the market along with the increasing demand to be more consumer-focused, noted one healthcare CIO during a recent healthcare innovation conference.

“We are going to be disrupted by Apple and Amazon, if we don’t change,” Adam Landman, vice president and CIO of Boston-based Brigham and Women's Hospital, said during a panel discussion at the FT Digital Health Summit in New York City last week.

At the same time, however, many forward-thinking healthcare executives see digital technology as a tool that can be leveraged to support value-based care with the aim of better patient outcomes at lower cost.

During the FT Digital Health Summit, sponsored by Financial Times Live, a panel of healthcare industry leaders, including Landman, along with Chet Robson, medical director, clinical programs and quality for Deerfield, Ill.-based Walgreens and Nelia Padilla, global lead, digital health at IQVIA, a company that provides technology solutions and contract research services, discussed the role of digital technology in achieving value-based care as well as the significant barriers to adopting digital solutions and the headway their organizations are making with digital innovation.

The full Healthcare Informatics article can be found at this link.  

Artificial intelligence (AI), and its sub-disciplines, machine learning (ML) and deep learning (DL), are beginning to play a significant role in healthcare. As AI moves out of research labs and into real-world applications, it is becoming a disruptive force in transforming patient care. These technologies, coupled with affordable data storage and computational power, enable healthcare organizations to analyze an immense volume and variety of data. Intelligence allows for progressively deeper insights which lead to proactive care, reduced future risk, and streamlined work processes. AI technologies are providing innovative solutions for precision medicine, organizational efficiency, and improved health outcomes.

Due to the significant volume of data created during patient care, the healthcare industry is well positioned to take advantage of the advancement and commoditization of computer algorithms and hardware. AI enables more automated decision-making on important data sets emerging from the Internet of Things (IoT), electronic health records (EHRs), and patient-generated health data. AI also gives machines the ability to mimic human behavior, an increasingly valuable feature in an industry that is experiencing high costs, high rates of physician burnout, and an increased focus on the patient experience.

On September 6, 2018, eHealth Initiative Foundation and Booz Allen Hamilton hosted a multi-stakeholder roundtable meeting to discuss expert opinions on the challenges and opportunities for AI and ML in healthcare. The meeting convened senior executives from provider, government, technology, pharmaceutical, clinical research, and professional organizations, representing radiology, pathology, cardiology, and other groups. This brief addresses the state of the field and includes examples of how AI and ML are being used within the industry; the challenges and barriers to the adoption of AI; current federal government initiatives; and where AI and ML may be headed in healthcare’s future.