It's a new year and, like most busy healthcare professionals, you're probably wondering how the previous year went by so quickly. If you feel like you couldn't keep up with key conversations from 2017, spend some time with the HITinsight top 10 blog posts before you dive into 2018's most pressing issues. The HITinsight top 10 cover a wide range of relevant issues and offer useful information from seasoned healthcare IT professionals. There's something here for everyone.
In the early 2000s, in preparation to write his bestseller, Moneyball, author Michael Lewis was trying to figure out how the Oakland Athletics could possibly be successful. A small-market team hemmed in by financial limitations, the A’s were regularly competitive even though their budget was dwarfed by that of teams like the Los Angeles Dodgers and New York Yankees.
With the end of the year rapidly approaching, it’s about time for articles making technology predictions for 2018 and proclaiming 2017 “the year of the (this space for rent).”
As editors cast about for the healthcare IT story of the current year, they might have a hard time making the case for blockchain technology based on measurable recent impact, but they’ll have less trouble endorsing blockchain if they look at current hype and future potential.
It’s not exactly a sweater or tie that gets worn once and then relegated to the top of the closet, but it turns out that patient data may have something in common with unloved holiday gifts. Both, it appears, are shared and then seldom used.
Yes, Katrina was already losing appeal as a girl’s name by 2005, when it had fallen to 247th most popular in the United States. But the so-named hurricane that swamped New Orleans in August of that year pushed it off a ledge. By May of 2007 Katrina had fallen more than 100 spots to number 382, its lowest level since the 1950s.
The last time you made a difficult decision, chances are you engaged in some form of a process called the 5 W’s, or maybe the 5W’s and Sometimes How, or 5W+1H … maybe 6 W’s.
Right. So, what the process lacks in an agreed-upon name it makes up for with the logical consistency of directed, relevant questions: Who? What? When? Where? Why? How? It’s a process journalists often use consciously in writing articles, and it comes in handy for non-journalists when the goal is breaking down options and arriving at an optimal outcome.
When public health is threatened by an outbreak of SARS or Zika or avian influenza, widely disseminated information becomes a crucial tool used to curtail the spread of disease.
But transmittable diseases are not the lone threats to public health. Other metaphorically pathogenic events—the current opioid epidemic, for example—are more effectively managed by making sure doctors have complete information when evaluating patients and, especially, writing prescriptions.
Maybe the initial challenge of population health is deciding exactly what that phrase means.
Well before it became a catchphrase in health IT, population health was the province of academics who devised predictably academic definitions like “… the aggregate health outcome of health-adjusted life expectancy (quantity and quality) of a group of individuals, in an economic framework that balances the relative marginal returns from the multiple determinants of health.”
Would you pay top dollar for anything—a car, phone, television, whatever—that promises truly transformational technology at some unspecified future date?
I doubt you would. We generally buy products for what they offer now, not what the company says they will eventually do (vaporware, as IT calls it).
And yet, so many hospitals pay multi-billions of dollars for healthcare IT systems that promise to integrate patient care … eventually. Why? Some argue the primary reason is a false market that was created by federal government incentives and boundless faith.