Electronic Health Records

The health IT sector should look to drug and device industries as examples to establish a successful ecosystem of innovation.

Network reliability and availability of fiber-based services are acknowledged as key contributors to success at rural healthcare organizations adopting new care delivery models, but these same organizations also acknowledge challenges with funding and clinician buy-in in their efforts to enhance healthcare delivery. During this webinar, Bryan Fiekers, senior director of Research Services for HIMSS Analytics, will share the results of a new research study that explores the impact of connectivity on rural hospitals. In addition, Fiekers will offer actionable insights and prescriptive guidance into how rural healthcare organizations can gain the connectivity needed to help advance key clinical initiatives.

As WannaCry and NotPetya have demonstrated, connected medical devices in operation today were not designed with security in mind. In fact, many were not initially designed to be networked and certainly not exposed to the Internet. EMR and other initiatives have accelerated the need to network medical devices at the risk of security exposure. With traditional IT security solutions unable to secure connected medical devices, there are no easy answers to address the risk to the millions of devices currently in operation. Dr. Maia Hightower, CMIO of Iowa University Health Care and Dr. May Wang, CTO of ZingBox will review the approach many organizations are taking to safeguard their network of connected medical devices and advancements that can be expected in the future.  Join this presentation to learn: How and why hackers are aiming to disrupt healthcare services Review real world scenarios and their significant impact to the healthcare organization Tools and processes healthcare organizations should focus on for the future

Patient matching is at the forefront of the national Health IT conversation. Senators are urging the GAO to consider a national patient matching strategy, and the ONC and CHIME have both run patient matching competitions in search of a better approach.  It’s no secret that a new approach to patient matching is sorely needed. The average duplicate record rate within health systems is 20% and growing. And when exchanging health information between health systems, the patient matching error rate is upwards of 50%. These numbers are jarring, but more importantly they drastically impact patient safety, patient care, and business costs. Luckily, a next-generation patient matching approach exists that organizations can leverage in three simple steps to dramatically improve their patient matching. Attend this webinar to learn about this next-generation matching approach, called "Referential Matching,” and to hear about the real-world successes that three large healthcare organizations have seen with Referential Matching.

The full value of FHIR is still years in the making, says one expert.

When the thrill of electronic health record implementation is over, hospital and IT execs are left to wonder: We are live on the EHR, so now what?

In this webinar, Ernest Sohn, chief data scientist in Booz Allen’s Data Solutions and Machine Intelligence group, will explain the work that went into developing a machine-learning system. And he will share lessons learned on how to best apply machine learning processes to clinical situations.

With better coordinated care, providers will be able to make more informed decisions and their patients will experience better outcomes.

Information must be shared outside of the healthcare network in which it resides to allow all of a patient’s valuable data to be available to all of their providers.

Some day carrying my disparate medical records from place to place will not be necessary.