Vblog

This video blog, or sometimes shortened to vblog for which the medium is video, is a collection of videos – my picks of videos found on the free web services like YouTube or Vimeo with related issues that impact the Health Information Management (HIM) / Medical Records (MR) profession.This Vblog is a static page with a series of embedded videos shown in a grid. Each video has a short description and a new video is added to the Vblog page when I pick a video to share. Readers can still comment on the video(s) by referring to the video number(s) off the grid.

A COLLECTION OF VIDEOS WITH RELATED ISSUES THAT IMPACT THE HEALTH INFORMATION MANAGEMENT (HIM) / MEDICAL RECORDS (MR) PROFESSION


What is EMR?"
EMR means different things to different people according to emrsimplyput.com/. This video presents the difference between an electronic medical record and an electronic medical records system.
Video credit: explainingcomputers.com

Health Information Highway
An American Health Information Management Association (AHIMA) video for community based public education
Video credit: Kathy Webb

How to use terminal digit?
Video credit: Kathy Webb

Medical Terminology
Video credit: The Professor Penguin College Success Series – How to Approach Medical Terminology

The Mind of a Coder
An American Health Information Management Association (AHIMA) Video Contest Entry
Video credit: AHIMA

MRI and CT Scan – the differences
CT Scan (the acronym for Computerized Axial Tomography), MRI (the acronym for Magnetic Resonance Imaging) are two acronyms Health Information Management (HIM) / Medical Records (MR) practitioners have surely encountered in managing their medical records and radiology images.
Video credit: The original video was made at the London Oncology Clinic, now known as Leaders in Oncology Care

How do we consume data?
In this TED video, listen to Rangaswami tell us about how he thinks deeply (and hilariously) about disruptive data, and muses about our relationship to information, and offers a surprising and sharp insight: we treat it like food.
Video credit: TED: Ideas worth spreading

Big Data is the next big thing in computing.
This video explains Big Data characteristics, technologies and opportunities.
Video credit: explainingcomputers.com

The Medical Record: A tool for providing problem-oriented patient care
In this timeless video taken in 1971 at the Grand Rounds at Emory University, Dr Lawrence Weed spoke on the problem-orientated medical record (POMR) approach based on an article titled “Medical Records that Guide and Teach” which he published in 1968, where organised problem lists and medical records are critical to clear decision-making.
Video credit: Youtube

Problem Oriented Medical Record (POMR)
Explanation of the Problem List and it’s importance in documenting it in a patient encounter based on Dr Lawrence Weed’s book on POMR.
Video credit: Dr Steve Walsh, specialist physician at Tygerberg Hospital in the Western Cape (South Africa), and also a senior lecturer at Stellenbosch University Faculty of Health Sciences, Tygerberg,Cape Town, South Africa

Recent Posts

Voice-to-text medical software using NLP technology

When the doctor sits down with you on your visit, the doctor normally spends a lot of time inputting the how and the why of what’s happening to you, conventionally into a paper-based case note/medical record.

These free text narratives are further aggravated as not all doctors “speak the same way” in note creation and management.

These notes about your condition are rendered not easily extractable in ways that the data can be analyzed by a computer.

The good thing is this unstructured data of free text has given way to more and more ways to digital record-keeping—into the electronic health record systems (EHRs) way, away from the days of trying to decipher doctors’ medical lingo on hand written medical records and medical reports. However, EHRs are as unstructured patient data like its cousin, the paper-based medical record.

Inevitably, EHRs create challenges for doctors and that can be frustrating with additional data input responsibilities often bogged down by form-filling through the many clicks and screens required to navigate their EHRs, as well as they spending additional hours on updating EHRs.

EHRs became more important to be accurate and immediate with the scourge of the COVID-19 pandemic and with an increased reliance on contact-free consultations between doctors and patients.

Ultimately, huge volumes of unstructured patient data continue to be input into EHRs on a daily basis. As healthcare documentation is mostly unstructured, and it therefore goes largely unutilised, since mining and extraction of this data is challenging and resource intensive.

Medical Natural Language Processing (NLP) is steadily proving to be a solution to this challenge, creating new and exciting opportunities for healthcare delivery and patient experience. The adoption of NLP in healthcare is rising because of its recognized potential to search, analyze and interpret mammoth amounts of patient datasets.

Human beings use text and spoken words to fill up the human language with homonyms, homophones, sarcasm, idioms, metaphors, grammar and usage exceptions, variations in sentence structure, as some examples of ambiguities and irregularities as only they understand their usage.

NLP is a branch of artificial intelligence (AI) concerned with giving computers the ability to understand text and spoken words in much the same way we human beings can.

It is the main concept behind translation and personal assistance apps like Google Translate, OK Google, Siri, Cortana, and Alexa.

Without NLP technology using NLP healthcare tools capable of scrubbing large sets of unstructured health data, that data is not in a usable format for modern computer-based algorithms to easily access, extract, and accurately interpret clinical documentation of the actual patient record previously considered buried in text form.

NLP technology services accurately give voice to the unstructured data of the healthcare universe while processing the content of long chart notes of medical records, giving incredible insight into understanding quality, improving methods, and better results for patients that helps determine the disease burden and valuable decision support can be obtained.

Augnito is a voice-to-text medical software using NLP technology hoping  to improve healthcare, but for now specifically developed for the Indian market launched six months ago, and now being used in 24 States in India.

The voice has become the most powerful tool in technology today. Just by talking, the voice is the most natural way of communication for humans. We are able to do sophisticated and important jobs with gadgets like Alexa.

Like the Alexa gadget been able to do sophisticated and important jobs using voice controlled NLP technology, the Augnito software available for a monthly subscription on both Mac and Windows platforms, types out notes that are dictated to and saves it in an editable textual format on a cloud server.

The Augnito voice recognition software has a pre-programmed list of medical terms (its vocabulary database is constantly updated in keeping with doctors’ requirements and feedback), a built-in editor, report templates and keyboard shortcuts that help reduce repetitive typing.

Voice recognition software like Augnito using NLP technology, has the potential to boost a doctor’s productivity at a time of increased online consultations.

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