Webpage(s) of Medical Records Department or Medical Records Unit At Ministry Of Health Hospitals, Malaysia

This list (click on this link to open the list in a new tab of your current browser window) is a compilation of the Medical Records Department or Medical Records Unit webpage(s) for each hospital based on all the available websites for Government (Public) Hospitals, Ministry of Health (MoH) Malaysia. 

The objectives of the compilation is to facilitate readers :

  1. to visit each webpage(s) of the Medical Records Department or Medical Records Unit of each hospital in this list
  2. to compare each web page(s) layout and contents for the Medical Records Department or Medical Records Unit services of each hospital i.e its usability and the utility as after all, if users can’t use a feature, it might as well not exist; thus taking note of the following:
      1. if the webpage is indeed obvious and self-explanatory
      2. user requirements are kept to a minimal, thus a user-friendly service which requires almost nothing from the visitor which is unobtrusive and comforting
      3. effective writing, for example using short and concise phrases – does it come to the point as quickly as possible, is used in the webpage
      4. does the webpage strive for simplicity instead of complexity
      5. the webpage provides consistency, for example ensure the webpage uses the same language as the main website)
      6. the webpage’s screen layout, relationships and navigability are all organised to provide the user with a clear and consistent conceptual structure
      7. the webpage presents the user interface that keeps in balance legibility, readability, typography, symbolism, multiple views, and colour or texture in order to communicate successfully
  3. to stimulate inspiration to improve upon the creativity of designs for Government Hospital Medical Records Department or Medical Records Unit webpage(s) in Malaysia
  4. to continue to strive to be as creative as possible, it is desirable that Government Hospital Medical Records Department or Medical Records Unit webpage(s) in Malaysia are designed to be functional and useful, but also aesthetically pleasing
  5. to aim for standardisation in content and structure for all Government Hospital Medical Records Department or Medical Records Unit webpage(s) in Malaysia as the first, best step and logical way to implement uniformity in content and structure throughout all MoH hospitals with a Medical Records Department or Medical Records Unit, if creativity of design is restricted or limited by the website administrator

The following inclusion and exclusion criteria are used for this compilation:

INCLUSION CRITERIA

  1. available official website for a hospital
  2. available valid hyperlink to the Medical Records Department or Medical Records Unit webpage of each hospital from the available official website for a hospital

EXCLUSION CRITERIA

  1. available official website for a hospital but website not available for display (during the period of this compilation)
  2. available official website for a hospital but without the following non-display of contents:
    1. valid hyperlink to the Medical Records Department or Medical Records Unit webpage of a hospital including the following displays:
      1. blank webpage with just the title ‘Rekod Perubatan’ displayed
      2. ‘Forbidden’ error message
      3. ‘Under Construction’ notice
    2. non-valid hyperlink to the Medical Records Department or Medical Records Unit webpage of a hospital including the following:
      1. wrong webpage, for example a webpage of another department or unit of the hospital
      2. no Medical Records Department or Medical Records Unit webpage
  3. no available official website for a hospital

REVISIONS
This list will be updated periodically when new and valid Medical Records Department or Medical Records Unit webpage(s) are available. However, readers are kindly requested to notify me via email at vijayanr@yahoo.com of any corrections and /or additions to this list

Note:
‘Rekod Perubatan’ is the Malay (Bahasa Malaysia) term for Medical Records

References:

  1. Ministry of Health Malaysia 2013, Listing Government Hospital. Available from: <http://www.moh.gov.my/gov_hospitals>. [17 October 2013]

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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