Events

Healthcare Events bring people together for a common purpose. By bringing the group together to one central location is a means to communicate a message to a large number of people. Healthcare Events just like all events, leave behind a legacy that I think includes:

  1. providing promotional opportunities for sponsors thus creating and building new partnerships as well as securing and developing lasting business relationships
  2. keeping event participants informed of new developments in healthcare
  3. increase in employee motivation and raising performance standards among event participants
  4. turning event participants as potential customers
  5. engagement with the local and international healthcare industry community

Due to the current coronavirus (Covid‐19) pandemic continuing to have a huge impact on face‐to‐face scientific meetings throughout the world, many conferences have either been cancelled, moved to dates in 2022 or replaced by virtual meetings.

Nonetheless, I have compiled and gathered here a selected list of healthcare events in 2021 and for 2022, which is no doubt not exhaustive, but which will be updated on details of an event, and updated periodically with new healthcare events.

Start DateEvent NameWhenWhereEvent Website
DVMD
Online Congress[in German]
25 - 26 February, 2021Leipzig, GermanyDVMD Online Congress
2021 AHIMA Middle East Conference: Creating Impact and Success with Quality Data26 - 27 March, 2021Virtual Event2021 AHIMA Middle East Conference: Creating Impact and Success with Quality Data
International Society for Quality in Healthcare (ISQua) – 37th International Conference8 - 11 July, 2021Fortezza Da Basso Congress & Exhibition Center, Florence, ItalyInternational Society for Quality in Healthcare (ISQua) – 37th International Conference
HIMSS 21,
Healthcare Information and Management Systems Society Annual Conference
9 - 13 August, 2021Sands Expo Convention Center, Las Vegas, Nevada, USAHIMSS 21
The Japan Society of Health Information Management (JHIM)
Theme: Health information management that brings the future ICD-11 and information sharing that expands to the field of medical care, long-term care, and support for life
16 - 17 September, 2021Nagoya, JapanSource: International Federation of Health Information Management Associations (IFHIMA)
IFHIMA
AHIMA Conference18 - 22 September, 2021Houston, Texas, USASource: International Federation of Health Information Management Associations (IFHIMA)
IFHIMA
MedInfo 20212 - 4 October, 2021Virtual ConferenceMedInfo 2021
CHIMA Conference5 - 6 October, 2021Winnipeg, Manitoba, CanadaSource: International Federation of Health Information Management Associations (IFHIMA)
IFHIMA
ICPSQH 2021: 15. International Conference on Patient Safety and Quality Healthcare18 - 19 November, 2021SingaporeICPSQH 2021
APHM International Healthcare Conference & Exhibition 202231 May – 2 June 2022KL Convention Centre, Kuala Lumpur, MalaysiaAPHM International Healthcare Conference & Exhibition 2022
International Federation of Health Information Management Associations (IFHIMA)
20th Congress
October 26 - 28, 2022Brisbane, Queensland. AustraliaSource: International Federation of Health Information Management Associations (IFHIMA)
IFHIMA
ICHIMHI 2022: 16. International Conference on Health Information Management and Health Informatics
Sydney, Australia
December 2 - 3, 2022Sydney, AustraliaICHIMHI 2022

Please Note: The clickable link in the Event Website column of this table will open a new tab in your current window of your browser.

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.

  1. Emergency use ICD codes for COVID-19 disease outbreak Leave a reply
  2. Global COVID-19 Clinical Characterization Case Record Form Leave a reply
  3. ICD Coding advice from the WHO for the 2019 novel coronavirus (COVID-19) Leave a reply
  4. ICD-11 2018 version: Part 2 – The ICD-11 Menu Hierarchy Leave a reply