Implementing healthcare technologies is just the beginning. We need to plan how they will fit together.
Integration, interoperability, data quality, process automation analytics -- these ideas are simple to describe but can be quite hard to execute in today's business environments. The road to building information-driven businesses far from well-paved.
Yet over the past two decades, enterprise architecture (EA) has gradually emerged to help institutions in many markets build new operating models and connect their as-is and to-be business strategies and IT capabilities. Though the discipline still lacks industrywide consistency, EA advocates in both academia and industry readily point to successful EA frameworks offering business-IT governance, standardization, and more sophisticated software and information infrastructures.
In fact, virtually all of today's healthcare buzzword initiatives -- population health, health information exchanges, health analytics, medical neighborhood models, performance and quality management -- share common capabilities manageable through EA.
The industry's current preoccupation with electronic medical records (EMRs) is a necessary precursor to more cost-effective, data-driven healthcare. But technology veterans know that buying more software and dumping data into warehouses does nothing to orchestrate sustainable business performance. Information availability does not equate to usability, and databases filled with electronic versions of paper document structures do not naturally improve health outcomes or financial performance.
Delivery innovation initiatives such as Accountable Care Organizations (ACOs) -- which numbered more than 400 at last count -- have challenged clinical leaders to make headway against both real and perceived deficits in internal infrastructure. Those leaders are turning to a growing market of external service and technology partners to support their accountable care and patient-centered medical home (PCMH) programs. These partners offer three things health leaders desperately need: additional people to get work done, knowledge from other health institutions, and the promise of usable intelligence that may seem unattainable. But is it really so unattainable?
Many clinicians rightly point out that the way we provide care under ACOs should not be all that different from the way we provide all care. Similarly, EA opportunities transcend the business model du jour. Regardless of where an institution might be on its transformational journey, there are clear reasons why EA should be at the top of every health enterprise project portfolio.
Improving performance and health outcomes: The quality of an organization's process execution and analytical insights is directly dependent on interoperability, automation, data quality, and timeliness. If you want to build a performance-oriented health delivery machine, EA provides the engine and fuel.
Controlling costs: EA has a proven track record of helping organizations control operational expenditures and increase return on assets through reductions in hardware purchasing, software licensing, staff training, and support costs. EA is good business regardless of transformational goals.
Protecting profitability: Health organizations are increasingly carrying higher financial risks. These risks are compounded when spending does not address sustainable capability creation and instead erodes margins.
Managing security and risk: For all the right reasons, ACOs and PCMHs often increase the number of people, processes, and systems involved in care delivery. But complexity is the enemy of security. EA offers a means of controlling risks.
Encouraging better planning: Quality and consistency go hand in hand. In the face of rising care practice and business model diversity, frontline practitioners need consistent processes for treating and managing patients. EA provides a common framework for both defining and operationalizing the to-be state of the business.
So why isn't EA more prominent in the eyes of health leaders? One reason is the current preoccupation with operational issues; both people and funding are so heavily tied to EMRs and quality metrics that organizations are struggling to find capacity for much else. Another reason is the industry's general preference for buying as opposed to building (except real estate). Unlike many other technology-related areas, EA is not a commodity, and it can only be matured through internal investment. It's also not just a technology issue. Let's be honest -- EA is not broadly understood yet.
But the question is this: Can health care effectively transform without a stronger emphasis on enterprise architecture? After all, every organization has an enterprise architecture. It may not be well designed, well managed, comprehensive, capable, or cost effective, but it exists.
But that is the point of health transformation, isn't it? If the data journey to population health management -- including care coordination, health information exchange, health analytics, and more -- seems arduous, maybe it's time to consider a different path, even if it's unpaved.
Remote Patient Monitoring: Don't let all those Fitbits fool you. Though remote monitoring technology is sound, it's still far from widespread clinical adoption. Read the new InformationWeek Healthcare Digital Issue.
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