Please note: Pitches are no longer being accepted.
At the Health Datapalooza, attendees from both the public and private sectors engage in meaningful discussions around the future of health data and share the latest innovations and new methods for liberating data and creating actionable knowledge to drive health policy and practice.
This year, we are inviting you to send us your best ideas for presentations to one of eight conference tracks - including a “wild card” track for your most out of the box innovation! From consumer-facing technologies and cybersecurity, to value-based systems transformation and multi-sector data sharing, and real-word evidence, artificial intelligence, and international approaches – the 2018 Health Datapalooza covers a large breadth of relevant topics.
This year’s steering committee is particularly interested in ideas that address policy and data implications and the impact of data innovations on patient outcomes and quality improvement. And as you read these and consider your pitch, we also encourage you to think about how your innovation affects the nation’s most pressing health challenges and how they affect our most vulnerable communities and populations.
Call for Presentations - Ideas for individual presentations/talks:
Individual submissions are submitted to a track for consideration for podium presentation. Up to four submissions accepted for podium presentation are grouped according to topic area to create a conference session.
Call for Panels - Ideas for a set of presentations on a particular issue/topic/innovation:
Panel submissions should be submitted to a track by the lead organizer and must include the names and organizations of each of the panelists. Submitters are asked to provide a panel overview and session summary. No more than five (5) people are allowed on a panel. The five slots include the moderator.
Conference Tracks and Descriptions:
- Consumer-Facing Technologies and Digital Health: Under-tapped or Over-hyped?
- Data Privacy and Cybersecurity
- Life Sciences and Real World Evidence
- Integrating Data Sources and Systems to Make Whole Person Health a Reality
- Smart (Data) Systems in Health Care
- Value-Based Systems Transformation: What it Means for and Requires of Health Systems
- What Works Internationally
Consumer-Facing Technologies and Digital Health: Under-tapped or Over-hyped?
With patients involved in dual roles of data generator and users, applications developers and entrepreneurs play an increasingly important role in using patient level data to advance health. This track invites submissions that describe a range of innovations, including but not limited to:
- Patients accessing their own records;
- Mobile health, including social media, wearables, telehealth, and other innovative interactive technologies;
- Demonstrating return on investment in consumer-facing technologies;
- Radical transparency efforts to empower consumer choice;
- More meaningful measurement of care experience;
- Successful approaches to engaging diverse populations; and
- Using data to reflect a lifetime of health care.
Data Privacy and Cybersecurity
Efforts to increase data sharing within and outside of healthcare are surfacing tensions and important discussions about the value of data sharing, and the best ways to ensure privacy and security safeguards for personal health information. This track invites submissions that showcase progress in addressing a range of challenges including but not limited to:
- Best practices in interoperability and systems security;
- Advancing data stewardship and governance;
- New guidance, tools, and interpretations of regulatory and oversight procedures in the new data sharing ecosystem; and
- Approaches to breach prevention and management as well as best practices in, and lessons learned from, handling a breach.
Life Sciences and Real World Evidence
The Life Sciences industry plays a key role in generating and analyzing real world evidence (RWE) and supporting the data ecosystem. This track invites submissions that focus on industry or industry/collaborator efforts related to various issues, including but not limited to:
- Promoting population health analytics and achieving quality targets;
- Novel data science and computational methods and models;
- Innovations in all aspects of research/data governance, including consent procedures/tools and human subjects considerations;
- Addressing the heterogeneity of patient populations and generating evidence to address disparate health outcomes; and
- Data-intensive applications and challenges related to precision medicine, the All of US initiative, cancer moonshot, and other large-scale programs with industry involvement.
Integrating Data Sources and Systems to Make Whole Person Health a Reality
Community-led efforts to identify and address population health challenges are rapidly taking hold, and payment models for these approaches require multi-sector data sharing and integration. This track invites submissions that describe all aspects of these efforts, including but not limited to:
- Community-based and systems level initiatives involving data sharing and integration approaches from multi-sector partners across health, social services, and other data sources (e.g. criminal justice, transportation, housing, etc…);
- The application of new tools, services and approaches to data integration from multiple sectors and sources;
- Innovations that are achieving measurable improvement in health disparities;
- Implementing and tracking progress of multicomponent programs; and
- Approaches to partnership development and community engagement that facilitate data sharing and use.
Smart (Data) Systems in Health Care
Health care information technology applications are transforming the ways that structured and unstructured data are applied toward medical decision-making. Advances in natural language processing and artificial intelligence (AI) have the potential to impact a broad array of clinical analytics, population health, personalized care decisions, and clinical decision support programs. Connectivity among devices and medical systems that support the Internet-of-Things (IoT) are providing transformative platforms for data interactions among providers, patients, health systems, and communities. This track invites submissions that demonstrate new concepts of the following areas:
- Supporting medical decisions using artificial intelligence (AI), natural language processing (NLP), and reinforced learning;
- Demonstrated value, ethical standards and obligations for improved health outcomes through the uses of AI, NLP, IoT;
- Medical applications of deep learning and reinforced learning algorithms;
- Novel insights and learnings of human (provider, patient, consumer, et al.) - machine interfaces in the applications of health and healthcare data; and
- User-centered design features applied to the methodologies to improve care delivery.
Value-Based Systems Transformation: What it Means for and Requires of Health Systems
Changing populations, dynamic payment models, and new interest in reuse of clinical data for quality improvement and research are creating pressures and opportunities for health system transformation. This track invites submissions that demonstrate innovations including, but not limited to:
- Systems improvements and organizational changes that streamline technology adoption, data generation/exchange, and public reporting;
- Usability and user-centered design studies that led to process improvements and better patient and provider experiences;
- Improvements related to design, development and implementation of EHRs and clinical decision support; and
- Purchaser/payer activities to leverage analytics in their quest for value, improved outcomes, and better benefit design.
What Works Internationally
Approaches to capturing, sharing and effectively using electronic health data for clinical care, quality improvement, and research reflects policy and cultural priorities, and varies significantly around the globe. This track invites submissions that feature innovations from any and all countries (high, middle and low income) that address any of the other topics in this call as well as:
- Technology adoption and implementation strategies at the multi-national, national and regional levels;
- Tools, services policies and strategies for integrating health and social care;
- Multi-lateral and multi-sector policy initiatives to promote data sharing; and
- Management of public and provider expectations about the availability of clinical data.
Does your health data innovation not neatly fit in the tracks noted above, or maybe it crosses all the tracks? Here is your chance to be creative. The wildcard track invites super interesting ideas and projects, as well as non-traditional submissions. In addition to standard “paper” proposals (word or PDF), you can submit short videos (3-5 minutes), images, and html objects. Impress us!