As artificial intelligence, gene therapies, and clinical-grade digital health tools enter the health care scene, new boundaries are being redrawn around what is possible in medicine. Roughly 10 years into the EHR experiment, how should this technology evolve to take full advantage of these exciting developments? This session will focus on building next-generation capabilities into EHRs to keep pace with developments in technology and science. It will also examine new opportunities for EHRs to deliver patient care that is personalized, predictive, preventive, and sensitive to the social and behavioral influences over a person’s health.
What are the near-term opportunities to make EHRs more intuitive and user friendly for physicians? Knowing that physicians now spend several unproductive hours each day on data entry, this session will explore a variety of solutions. They range from industry reform to better UX design and support for common EHR pain points such as billing administration and clinical decision making.
A conversation about EHRs would not be complete without discussing the topic of population health management (PHM). Through a PHM strategy, in theory, organizations are able to bring together clinical, financial, and operational data to uncover opportunities—down to the individual patient level—to improve the cost efficiency and quality of care that they deliver. But for tools that have primarily served as digital record storage, are EHRs equipped to support this kind of enterprise business intelligence? This session will convene health system executives to discuss the state of population health as well as their experiences with using EHRs to drive improvements in cost, quality, and operational efficiency.
The digital revolution of the past decade has disrupted countless industries. Yet, its impact on health care remains modest. The causes are manifold, but a clear culprit is the ongoing struggle to connect and share information across the disparate technologies that comprise our health care system. This session will explore solutions to health care’s data “liquidity problem,” addressing topics such as EHR interoperability, data quality and access, privacy and security, and conflicting business models.
AI has been promoted as a solution to unburden physicians from EHR documentation, assist with disease diagnosis, make care more preventive, and more. What are the most compelling opportunities for AI to transform the EHR experience? How should this work be prioritized so that it aligns with the most pressing physician concerns? And what are the challenges involved?
Realizing the true potential of EHRs by 2028 will demand a radically different health technology infrastructure than what exists today—one that is highly connected and open to developers. What solutions are needed to achieve this? Moreover, as the focus of health care becomes more holistic, how can we begin to integrate novel datasets, including social determinants, into the clinical picture?
As patient care models (and the technology supporting them) continue to evolve, delivering health care will increasingly become a team sport. What does an enlightened clinical care team look like in the era of digital health? How will roles and responsibilities need to change? And how should digital health technologies, including EHRs, be adapted to individual team roles to ensure that patients receive the right care, in the right setting, at the right time?
Under the fee-for-service model, reimbursement complexity has multiplied EHR data entry requirements. Physicians are increasingly bringing this work home, coding late into the night. Health plans have a unique opportunity to address this by streamlining their billing and quality reporting requirements. As more reimbursement shifts to pay-for-value, how can billing be simplified to prioritize outcomes over procedures performed? Moreover, how can this be better standardized across health plans?
A high percentage of alerts are bypassed by clinicians because they are either not relevant or there are simply too many to review during a single patient encounter. In many cases, physicians are now spending hours sifting through alerts and inbox notifications each day. What solutions can help reduce alert fatigue? How can EHRs empower physicians with better insights in the moment of care?
EHRs have been optimized for billing, not patient care. This has resulted in EHR workflows that aren’t intuitive for care teams and often encumber patient care instead of improving it. Based on the principles of design thinking, how can EHRs better reflect clinical needs, the rhythms of care delivery, and, equally important, the needs of patients?
For every hour physicians spend with patients, two are being spent on EHR reporting— often on tasks unrelated to patient care. Moreover, physicians are spending a lot of time checking boxes during care visits that have dubious clinical value. What EHR tasks represent the largest pain points for physicians? What should be prioritized for automation, delegation, or elimination (after further review)?
Poor EHR experiences can’t always be chalked-up to technology. It can also be a consequence of dysfunctional team dynamics, marginalized relationships, cynicism, or overwork. These are cultural problems that technology alone can’t fix. Against a backdrop of rising professional burnout in medicine, what can organizational leaders do (outside of technology) to address these challenges to shape a more positive, open, and creative work environment?