Healthcare is undergoing an accelerated digital transformation thanks to COVID, but patient data needs to keep up with expected standards of accuracy, transmission, and availability.
Managing Interoperability & Booming Data With ML, NLP, and AI
The Cost of Incomplete Data
Financial impact of clinical data extraction software
How to redact PDF documents the truly proper way
A fax machine walks into a doctor's office...the not-so-funny joke about health information exchange
Are "too many clicks" part of your health data challenges?
Health data challenges are a part of any healthcare organization. Frustration is a natural consequence. This is also a common topic in most healthcare press lately. It often feels like depending on which way the wind is blowing, the consensus is that EMR adoption by clinicians is either improving or getting worse. A recent KLAS report indicates adoption is improving across the globe. The decision to move to an enterprise EMR for most organizations often includes as a factor the goal of reducing the total number of applications supported. Initiatives to improve adoption then becomes a challenge if your department's prized application is removed for something "less than robust". Along with pain and frustration, keeping your clinicians happy is also a challenge
Transplant Evaluation- Part 3
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.
Lab Results Interoperability- Part 4
IOM Identifies Health Information Integration as a Failure Point
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.”
Lab Results Interoperability- Part 2
Why do we have EMRs again?
Why do we have EMRs again? Were they meant to be electronic file folders? No, they are meant to hold discrete, structured data and add value by summarizing the most valuable data, giving us a more complete picture of a patient’s history, and allowing us to analyze and see trends in the data while automatically alerting us to data outside of allowed values.
Justify Before you Buy - Part 2
Justify Before you Buy - Part 1
Clinical Labs: Meeting the needs of providers is a juggling act
The ultimate juggling act: clinical labs in a hospital setting are required to maintain the highest operational standards. They complete their own inpatient testing while managing the logistics of send-outs and the returning results from reference and specialty labs. No matter where it’s coming from, comprehensive data needs to get back to the ordering physician - data required to make the best care decisions.