Healthcare Integration: Expectation vs Reality

Competition among providers can drive greater healthcare value; however, in reality, the industry has been moving in the opposite direction — toward consolidation.

There were 90 hospital and health system mergers/ acquisitions during 2018, with average seller revenue reaching a historic high of $409 million, according to advisory firm Kaufman Hall, which has been tracking such metrics over the past decade.

“Health system leaders are seeking to acquire organizations that bring embedded expertise and resources to the deal, making these transactions more of a strategic partnership than an asset acquisition,” reports Kaufman Hall.

Integration’s Role

In many cases, strategic consolidation rides on a quest for improved information-sharing made possible by establishing a common electronic health record (EHR) system among M&A partners. As the theory goes, “EHR integration could [lower] operating costs by reducing redundant IT staffing and achieving economies of scale in costly ongoing system maintenance,” states a newly published Health Affairs study. What’s more, integration can help narrow information gaps as patients move across diverse care delivery sites.

Nonetheless, actual experience in the field paints a different picture. The Health Affairs research, based on American Hospital Association data, finds that of 88 hospitals acquired between 2012 and 2014, only one-third switched to the EHR system of the acquiring organization, while 44 percent remained on a different EHR.

“Our results suggest that one important avenue by which consolidation may result in lower-cost, higher quality care is not routinely occurring,” the study authors write. “This should be cause for continued concern that many acquired hospitals may not deliver on their promised benefits.”

Integration Headwinds

Healthcare organizations transitioning to a new EHR often run into difficulties when the old system’s data is stored in a proprietary format that can’t be deployed without first being converted into a standardized structure. To make matters worse, “outgoing” EHR vendors sometimes take weeks or months to carry out a required data conversion.

“If your patient records are not provided in a format that makes them fully accessible in your new EHR, healthcare professionals may be unable to rely on clinical decision support tools … [for functions such as] automated drug interaction checking and allergy reminders,” The Office of the National Coordinator for Health Information Technology (ONC) warns. “Further, if data is not provided in an appropriate format, you will incur the time and costs associated with converting the data to a usable format.”

Additionally, integrations can fall victim to other problems such as:

  • failing to get practical input from key system users during planning and implementation;
  • understaffing the process of extracting, moving, manipulating and repopulating large data volumes;
  • moving duplicate or obsolete data into the new system;
  • not moving all relevant documentation into the new system; and
  • choosing incomplete patient data instead of validated, real-world scripts for end-user testing.

Tightening Up Integration with the Right Approach

Despite inherent challenges, integration will continue to be a core element in healthcare’s pursuit of value-based care and operational excellence. That’s why it’s so important for healthcare providers to choose the right integration partner and methodology.

NetDirector specializes in automated integration for entities across the healthcare ecosystem, from physician practices to hospitals and health systems and affiliated facilities such as labs and radiology clinics. Our team of dedicated professionals can assess individual requirements and map out a cost-effective and efficient plan for successful integration.

To learn more about NetDirector’s cloud-based data exchange and integration platform and additional services, please contact us or request a free demo.

RSNA Dives Deep on Artificial Intelligence for Radiologists

The commercial market for artificial intelligence (AI) in healthcare is projected to grow at a compound annual growth rate of over 68 percent through the 2018-2022 timespan, according to industry researcher Frost & Sullivan. Driving the expansion: a tangible shift from innovation to adoption of AI among radiologists, because new tools are proving useful in the field.

For instance, the University of Utah Health is putting AI to work compiling patients’ prior scans, as opposed to physicians having to manually search archived images. And at Capital Health Hospitals, AI-based clinical software detects intracranial hemorrhages in CT scans and flags them for immediate attention.

New Platform for AI Research

Amidst this fast-developing setting, the Radiological Society of North America (RSNA) recently launched an online journal, Radiology: Artificial Intelligence, which highlights emerging AI applications across multiple imaging disciplines.

“AI and radiology do not exist in isolation,” explains the publication’s editor, Charles Kahn, MD. “[These] technologies will help us care for our patients more effectively and humanely. Our goal is not to replace, but rather to extend our human abilities to provide medical care — and to improve the lives of those we are privileged to serve.”

At the journal’s core will be validated scientific research papers that show AI’s impact in extracting information, diagnosing and managing diseases, streamlining radiology workflow and improving healthcare outcomes. Expect coverage of image segmentation and reconstruction, automated detection of abnormalities, diagnostic reasoning, natural language processing, clinical workflow analysis, and radiogenomics, as well as novel applications and innovative applications.

The debut issue, published January 30, includes analysis of automated fracture detection and localization on wrist radiographs, and classification of elbow fractures using a “deep learning” approach that emulates radiologist decision-making. A special report looks at how AI provides standardization, consistency, and dependability in support of human radiologists. An opinion piece peers over the horizon at “augmented radiology,” a practice in which technology will amplify human insight, particularly in medical education and training.

Toward Full AI Integration

As pointed out in NetDirector’s blog post “Artificial Intelligence Set to Soar in Healthcare,” AI’s future success rides on use cases where the technology not only helps to improve clinical outcomes but also delivers a clear return on investment. In doing so, it needs to be fully integrated into radiology departments’ user interfaces and workflows.

Areas to watch include breast and lung imaging for cancer discovery, neurological imaging for stroke detection and non-invasive imaging for diagnosis of coronary artery disease. The technology works in the background to support radiologists’ knowledge and efficiency while offering readily accessible tools for specific purposes as needed.

Undoubtedly, an ongoing challenge will be assimilating health data across diverse platforms and connecting multiple data sources. NetDirector’s cloud-based HealthData Exchange platform ensures strong integration for fast-rising AI applications, bolstered by an existing footprint in radiology and imaging centers.

To find out more about HealthData Exchange and how it could help leverage AI applications, please contact us or request a free demo.