L&C can help in the following activities:
What are the key benefits for Transcription Companies?
- Additional revenue generator and increased sales potential.
- Strengthens relationships with clients and offers values add to transcribed documents.
- Fully automated semantic indexing process (no additional workload for your transcription professional).
- Automatic linking to medical coding systems (ICD-9-CM, SNOMED-RT, etc.).
Consistent and Automated Indexing Mechanism
Problem: consistent data retrieval and analysis currently comes from
transcribed documents in the form of unstructured free text, and so extracting information
from them requires laborious human review. Review by humans is costly and inconsistent
from reviewer to reviewer.
Solution: Automated semantic indexing is more rapid and reliable yet provides
the same conceptual understanding of text as provided by human indexers. There is great
value in taking the next step to semantically index these documents into a computer-processable
form. As such, they can be much more efficiently utilized for internal analysis and reporting,
quality assurance, research, and satisfying regulatory requirements.
>> Back to Top
Populate the EMR
Problem: Everybody talks about deploying the EMR (electronic medical record)
to gain the advantage of structured data fields, but there remain significant barriers in
user adoption. Most doctors and medical professionals prefer to not change current workflow
to use pick lists. Rather they would like to continue to dictate and have structured data
extracted from their dictated text.
Solution: Automatic population of electronic medical records with information
from transcribed documents is available using TeSSI® Language and Computing’s
proprietary information extraction engine to populate EMR templates. L&C has the distinct
ability to even capture prescription drug information and parse by rout, dose, strength etc.
Automatic Coding
Problem: Document coding for text mining and information extraction is an
arduous labor-intensive manual effort that is both expensive and inefficient. Manual
coders have proven to be extremely inconsistent with coding decisions. In fact the same manual coders given the same document twice rarely code the documents the same.
Solution: L&C has the ability to match codes like ICD9, ICD10, SNOMED etc... to
free text documents by understanding concepts and cross mapping back to the desired thesauri.
This process has been completely automated to ensure reproducible results.
>> Back to Top
Smart Reports
Problem: Many reports are simply attachments to the medical record. Healthcare
professionals must first search by patient and then open and read these attachments to find
the information contained within
Solution: L&C enables Data and Document-mining capabilities for decision support,
quality measurement, practice management and outcomes analysis. With the application of the
L&C products to a typical clinical note, users will have the ability to search a corpus of
data independent of even knowing the specific patient name. Example quality measure. Did all
patients presenting with symptoms of Myocardial Infarction receive thrombolytic therapy?
Information Extraction
Problem: Even in a very structured system there are areas of reports that
cannot be coded due to their nature. These sections are often told as a story so there needs
to be some way for the computer to capture and understand these sections
Solution: L&C provides customers the ability to pull key elements from reports
to perform structured analysis. For example the information around length of stay or re-admission
could be extracted and analyzed.
>> Back to Top
Clinical trial inclusion
Problem: With the decline in reimbursement plaguing healthcare today, more
clinicians wish to participate in clinical trials. Deciding which patients match to the inclusion
criteria is an extremely manual process. It often relies on clinicians remembering a patient they
have only seen a handful of times.
Solution: Match clinical trial criteria to patient corpus and historical data.
Allow clinicians to search their corpus of patients for specific elements to surface the patients
quickly and efficiently for clinical trial inclusion. In the reverse situation extracted elements
from clinical notes could be applied to available studies.
Surveillance
Problem: As the world (the U.S in particular) continues to be under the threat of
terrorism it is essential to monitor symptoms often found in the free text found in the HPI
(history of present illness) and other free text sections of clinical notes.
Solution: L&C can extract symptoms - One of the key indicators of bio terrorism
is often found hidden in the text sections of clinical notes. Additionally L&C can extract
demographics like geography - providing the ability to aggregate key demographics
>> Back to Top
Patient Safety
Problem: While safety gains more importance in healthcare and pharmaceutical
communities, recent studies have identified drug interactions, allergies among the highest
causes of fatal medical errors. Often information that would avoid fatal errors is overlooked
by healthcare professionals.
Solutions: L&C semantically indexed documents can identify drug interactions
and match patient drugs found in clinical reports to drug data and formularies for drug
interactions. Semantically indexed documents also provide the ability to extract patient
drug allergy information to prevent patients from exposure to harmful or deadly side effects.
By using extracted information directly from patient notes, the patient risk factors can be
identified for deciding the potential risk factors of patients based on clinical findings.
Quality Measures
Problem: Hospitals and professionals are competing for patients and payers
to frequent their establishments or practices. It has become more important to prove quality
and outcomes.
Solution: L&C semantically indexed documents can identify errors of omission,
find potential errors, and provide feedback to doctors to help improve their transcription
and practice. L&C semantically indexed documents can be retrospectively analyzed to look
historically at practice performance and adherence to current clinical guidelines and best practices.
>> Back to Top
|
