Track 17: AI for Healthcare

Artificial intelligence in the healthcare industry is predicted to save $150 billion annually for the US. As such, AI is being rapidly deployed in many areas of the healthcare landscape. The Inaugural AI for Healthcare track will primarily focus on the providers, attracting CIOs, CTOs, VPs of IT and Informatics along with senior physicians and clinicians from the leading US hospitals who will share their experiences of using AI in clinical care and hospital operations.

Final Agenda

Tuesday, April 16

7:00 am Workshop Registration Open and Morning Coffee


8:0011:30 Recommended Morning Pre-Conference Workshops*

W4. AI for Pharma

12:304:00 pm Recommended Afternoon Pre-Conference Workshops*

W12. Data Science Driving Better Informed Decisions

* Separate registration required.

2:006:30 Main Conference Registration Open

4:00 PLENARY KEYNOTE SESSION
Amphitheater

5:007:00 Welcome Reception in the Exhibit Hall with Poster Viewing


Wednesday, April 17

7:30 am Registration Open and Morning Coffee

8:00 PLENARY KEYNOTE SESSION
Amphitheater

9:45 Coffee Break in the Exhibit Hall with Poster Viewing


PRACTICAL APPLICATION OF AI IN CLINICAL CARE
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10:50 Chairperson’s Remarks

Stanley Huff, MD, Chief Medical Informatics Officer, Intermountain Healthcare and Professor of Biomedical Informatics, University of Utah

11:00 Interoperability: A Platform for Sharing Knowledge as Executable Programs

Stanley Huff, MD, Chief Medical Informatics Officer, Intermountain Healthcare and Professor of Biomedical Informatics, University of Utah

Between 200,000 and 400,000 people die each year in the US due to medical errors. Many of these deaths could be prevented by computerized decision support programs (CDS). Previous CDS strategies for making CDS widely available have been ineffective. However, recent advances in data sharing standards (HL7 FHIR), CIMI, LOINC, and SNOMED CT) now make it feasible to share clinical knowledge as executable programs/applications that can run in any clinical system (EHR) that supports the standard.

11:30 It’s Not Just the Last Mile: The Benefits of Algorithmic Enhanced Care Can Go Far beyond the Algorithm

Sandy Aronson, Executive Director of IT, Partners HealthCare Personalized Medicine

There is a great deal of justifiable excitement surrounding the use of algorithms in general and AI in particular to improve patient care. However, realizing the potential of algorithmic enhanced care will involve more than developing algorithms and making them available to clinicians. The most substantial benefits may come from the dramatic reformulations of the care delivery process these new capabilities make possible. This talk will discuss the process for redesigning clinical workflows to take maximum advantage of these new tools.

12:00 Session Break

DDN-Storage 12:40 Luncheon Presentation: Architecting AI Data Platforms for Healthcare and Medical Imaging

William Beaudin, Director, Solutions Engineering, DDN Storage

1:10 Session Break

PRACTICAL APPLICATION OF AI IN CLINICAL CARE
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1:50 Chairperson’s Remarks

Marisa de Peralta, Global Program Director, Healthcare and Life Sciences Solutions, IBM Partner Ecosystem

1:55 Broad Data Sciences Platform: Personalized Medicine and Digital Health

Anthony Philippakis, MD, PhD, Chief Data Officer, Broad Institute and Cardiologist, Brigham and Women’s Hospital

This talk will overview the activities of the Broad Data Sciences Platform with regard to patient-facing software, software to enable data generators and researcher-facing software.

2:25 Redefining the Diagnostic Radiologist’s Value in the Age of Big Data and Artificial Intelligence

Tarik Alkasab, MD, PhD, Service Chief Informatics/IT & Operations, Massachusetts General Hospital and Harvard Medical School

Diagnostic radiologists have traditionally examined images of their patients and produced written, natural language reports of the findings and their integrative impression. In the data-oriented health care system of the 21st century, an arsenal of artificially intelligent tools will help them extract maximum value from medical images and contribute in new, unimagined ways to the care of their patients.

Lucidworks 2:55 To AI or Not to AI, That’s the Question

Lucidworks, Speaker to be Announced

Does AI meet the hype in Healthcare? Are you confident in your understanding and ability to incorporate AI into your Healthcare solutions? Yes and no. In this talk we'll look at why the first generation of AI has not met industry expectations— particularly in driving value from big data infrastructure and how operationally focused machine learning & advanced statistical deep learning techniques built on an open core platform are key to successful clinical outcomes.

3:25 Refreshment Break in the Exhibit Hall with Poster Viewing, Meet the Experts: Bio-IT World Editorial Team, and Book Signing with Joseph Kvedar, MD, Author, The Internet of Healthy Things℠ (Book will be available for purchase onsite)

PRACTICAL APPLICATION OF AI IN CLINICAL CARE
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4:00 How to Evaluate Artificial Intelligence in Clinical Care

Vitaly Herasevich, MD, PhD, Associate Professor of Anesthesiology and Medicine, Department of Anesthesiology and Perioperative Medicine, Mayo Clinic

Governments and clinical providers are investing billions of dollars in health information technologies (HIT) in the expectation that this will translate into healthier patients experiencing better care at lower cost. As the initial HITECH investment dries up, we are entering a phase of market saturation for HIT commercial systems. Competition in this space will lead to innovation and a proliferation of new technologies with difficult-to-predict effects on providers, patients, and health systems. A systematic approach to the evaluation of technology in healthcare is needed if we are interesting to reliably discriminate between useful innovation and clever marketing.

FEEDBACK FROM INVESTORS
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4:30 PANEL DISCUSSION: AI and Advanced Algorithms in Healthcare from the Investor’s Perspective

Viet Nguyen, MD, Founder, Strata Metrics and Clinical Informaticist, Internist, Paediatrician & Health IT Champion (Moderator)

NEW: Sarah London, Senior Principal, Optum Ventures

Vitaly Herasevich, MD, PhD, Associate Professor of Anesthesiology and Medicine, Department of Anesthesiology and Perioperative Medicine, Mayo Clinic

Lincoln Smith, M.D, Director, Analytic Enablement, Highmark

  • Investing in and evaluating healthcare start-ups
  • Real-world applications of AI in the healthcare industry
  • The use of advanced analytics and AI to improve both patient care and provider operations
  • How are emerging partnerships forming between integrated health systems, R&D and real-world evidence arms of Pharma?
  • Unique opportunities and challenges faced in the healthcare industry
  • Impact of AI on future jobs in the healthcare industry
  • What can healthcare learn from other industries?

5:30 Best of Show Awards Reception in the Exhibit Hall with Poster Viewing

Thursday, April 18

7:30 am Registration Open and Morning Coffee

8:00 PLENARY KEYNOTE SESSION & AWARDS PROGRAM
Amphitheater

9:45 Coffee Break in the Exhibit Hall and Poster Competition Winners Announced

RE-DESIGNING OPERATIONS AND WORKFLOWS WITH AI
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10:30 Chairperson’s Remarks

Charles Jaffe, MD, PhD, CEO, Health Level 7 International 

10:40 System Engineering in Healthcare: The Role of a Command Center 

Jim Scheulen, Chief Administrative Officer, Emergency Medicine and Capacity Management, Johns Hopkins Hospital

Hospitals are complex organizations and must now operate at high levels of efficiency. In order to meet financial, service, safety and quality goals, healthcare institutions are increasingly turning to sophisticated modeling and implementing control centers.

11:10 Developing and Commercializing Clinically Relevant Machine Learning Solutions

Neil Tenenholtz, PhD, Director of Machine Learning, MGH & BWH Center for Clinical Data Science

The healthcare industry provides a unique set of challenges for machine learning practitioners. From protected datasets to the complexity of the physician’s workflow, the required background knowledge is often siloed across multiple domain experts. Effective knowledge transfer between these parties is essential in developing a successful product. In this talk, we’ll discuss ways to break down these barriers and maximize the likelihood of a developing a clinically successful product.

11:40 HL7 Da Vinci Project: Leveraging FHIR to Transform Payer-Provider Interactions

Viet Nguyen, MD, Founder, Strata Metrics and Clinical Informaticist, Internist, Paediatrician & Health IT Champion

12:10 Enjoy Lunch on Your Own (Lunches Available for Purchase in Exhibit Hall)

1:20 Dessert Refreshment Break in the Exhibit Hall with Poster Viewing

INVALUABLE INSIGHT FROM PAYERS AND PATIENTS
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1:55 Chairperson’s Remarks

Anthony Philippakis, MD, PhD, Chief Data Officer, Broad Institute and Cardiologist, Brigham and Women’s Hospital

2:00 How will AI Amplify the Benefits of Value Based Care in Integrated Delivery Networks? 

John Mattison, MD, CMIO, Kaiser Permanente

Value based care is best realized through synergy with integrated delivery networks. Machine learning creates a natural synergy. Opportunities and early experience at Kaiser Permanente will be presented.

2:30 The Patient’s Perspective: Digitizing Human Health

Renee Deehan Kenney, PhD, Vice President, Biocomputing, PatientsLikeMe

In 2017, PatientsLikeMe launched DigitalMe, a program whereby individuals can donate longitudinally collected bio-samples for multi-omic analysis, together with phenotypic data. Since then, PatientsLikeMe has collected over 4,000 longitudinal blood samples from over 2,000 healthy controls and people living with neurological, immunological, mental health, pain and fatigue conditions. Here, they will share the development of an analysis platform to collect complex data, and compute on it to derive insights about human health.

3:00 Be Smarter, Faster, Earlier! How Can Artificial Intelligence Help Payers Serve a Market with Ever-Evolving Demands?

Jelani Akil McLean, Managing Director, Office of Clinical Affairs, BlueCross BlueShield Association

With information more readily available and innovations occurring at record pace, the demand on the payer industry is to make smarter decisions, at a faster pace, and in a ‘just-in-time’ manner. The use of AI is leading to innovative approaches, in the payer industry, to meet the challenging demands of a more and rapidly informed market.

FEEDBACK FROM INVESTORS
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3:30 NEW: Examining the Role Data and Analytics Can Play in Creating Transparency, Predictability and Clarity in the Healthcare Industry

Sarah London, Senior Principal, Optum Ventures

4:00 Conference Adjourns

Platinum Sponsors:

accenture

Dell EMC

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IBM_Blue

IDBS

Lucidworks

Microsoft

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