Healthcare organizations have a large amount of data that can be used to make improvements in the way the business is run. Partners Healthcare found that Natural Language Processing can be used to evaluate how decision support can be optimized to reduce alert fatigue and present more effective user messages.
Did you know that every two seconds, someone in the U. S. needs a blood transfusion? But for the past four years, Red Cross blood donors have declined by about 80,000 each year. With the steady decline of donors, The American Red Cross has launched a campaign in attempt to gain new blood donors and encourage previous donors to donate again, and just in time, June 14th is World Blood Donor Day.
Most people don’t realize how heavily some industries rely on faxes. But to those of us in the know, it’s becoming cliché to mention how relevant faxing still is. With non-relenting fax volumes comes the need for businesses to hire people who can manage incoming documents. Document handling is an intense job that requires an immense amount of focus and attention to detail.
A consultant who supports analytics for population health and quality of care recently told me that frequently, they can only access 80% or less of the total data needed for these initiatives.
If that data is truly random and characteristic of the whole body of data, than acquiring 80% of it is pretty good, perhaps even great. But what if that 80% comes largely from one population sub-group. What if it represents patients who are local - city-dwellers who live nearby and come directly to your facility for lab work and other tests - while the missing 20% is a completely different population. Perhaps this 20% is defined differently by lifestyle, geography or other variables because that population cannot easily come to your facility?
Transplant Evaluation Process Part 3 in a 6 part blog series
Once the transplant evaluation visit has been completed, the required testing and other consults that were ordered or deemed necessary need to be completed. Frequently, this is the most time consuming segment of the evaluation process and where automation can be most useful.
Yesterday, the prestigious Institute of Medicine (IOM) announced a soon-to-be-released report highlighting diagnostic errors as a persistent “blind spot in the delivery of quality health care” and urges the healthcare industry to change in order to address the prevalence of diagnostic errors, which the IOM defines as “the failure to (a) establish an accurate and timely explanation of the patient’s health problem(s) or (b) communicate that explanation to the patient.”
Let’s imagine that you like the features of your transplant database and your hospital is transitioning your department away from your comfortable and dependable software, into an enterprise application. You’ve likely heard this transition makes sense and will provide costs savings for the entire organization, but you might be wondering if the cost savings will benefit your department. There are obvious economies of scale with an enterprise solution, but you can’t help but wonder if this will create new problems for you. Having access to clinical data within the continuum of care is wonderful, but it hasn’t eliminated the need for a fax machine.