#snoming

[bobisnotaperson]

the SNOG is snoming

[halfacupofmilk]

omg I just realized I gave my cat lowkey a warrior cats type name.

[pokemonxhyperfixation]

Merry Chrimbo!

I have not only a team but two pokemon for you!

Letty Whiterock!!!!!!!!!!!!!

Froslass is just kinda the same being as her. She's a fellow frozen ghost.

Glalie is just an Ice Monster I think she'd vibe with, as is Cryogonal.

Articuno is notable for being this big, elegant Ice Bird, and I just think Letty would ABSOLUTALLY have one.

Abomasnow is just another ice monster she's vibe with, but it's ability makes it even better for her (I didn't do the other two Snow Warning mons because I like the clashing aesthetics of this elegant, motherly looking ice ghost having the big scary snow monster).

So I ship Letty with Shizuha. So I imagine Shizuha gave Letty this beautiful symbol of her (Shizuha's) work to make up for the fact that they realistically go long periods without actually seeing eachother.

Now the fakemon!

Snome

The Snowball Pokemon

A Pure Ice Type

Dex Entry: Snome are a common sight during the winter months in the Gensokai region. These friendly creatures like to play games with the youth of the region. Namely, they let kids throw them around. It is unknow where or how Snome's aquire their hats, but people have elected to not question it too much.

Abilities: Ice Body

Hidden Ability: Refridgerate

I just wanted to make a cute little snowman family. This is the base stage. They're also gnomes. So yeah. Gotta love a cute ice type!

Purrloin (Gensokian Form)

The Black Cat Pokemon

A pure Fire Type

Dex Entry: A species of cat Pokemon formerly found only in the caverns of the region. It is unknown why they largely left the underground. Due to their kleptomaniac tendencies, Purrloin are heavily disliked by much of the region. I likely doesn't help that they tend to cause house fires with their tails if kept as pets. Notably, Purrloin are popular with very specific types of trainer due to their ability to expertly track down Ghost pokemon.

Abilities: Flash Fire/Unburden

Hidden Ability: Scrappy

IT'S ORIN!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!

Anyways, I wanted to make Orin a regional varient, and Kantonian Meowth is too fitting for this region so Purrloin it is. Fun fact, if we're strictly talking levels before evolution, this fucker learns more damaging dark moves than the dark type one, having Thief at level one and then later learning Sucker Punch at about level 19ish. Meanwhile the fire moves are Ember and Flamecharge and that's it. I referenced Purrloin's official artwork heavily. I'm pretty shit at drawing (somehow barely better when working from a reference). This thing has one of Orin's braids. It's hard to tell because I'm ASS at drawing braids. I tried. (Bonus fun fact, this varient actually largely uses Shiny Liepard's color scheme. You just can't tell because I don't color. Because I really don't do coloring.)

[rescued-snom]

You are Snom?

cc • )_)__\ i am a snome yee

[wordfather]

will you snadopt me? i have no snome

welcome to the snamily snome!!! plenty of room!! :)

[tcstoryfell]

TC! Storyfell

Welcome to TC! Storyfell the Alternate universe that is a combined version of Underfell+ Storyshift and my imagination

Changes

Sans- Asgore

Papyrus- Toriel

Nehemiah- Frisk

Metta- Chara

Toriel- Undyne

Asgore- Alphys

Alphys- Napstablook

Napstablook- Flowey

Chara- Sans

Asriel- Papyrus

Roman- Muffet

Zariel- Grillby

Stats

Nehemiah- 3 attack, 0 defense

Changes in the personality

Sans- Same as Underfell well changed now because of the past. He's now a slothful, mean, and sad person

Papyrus- Same as Underfell...he's perfectly sane. Believes all justice should be justified

Chara- Same as Underfell....a prankster, hilarious, and a trickster and likes to mess with Asriel

Asriel- Ummm a little bit of Undertale Asriel, 50% of Underfell Asriel, and umm 47 % of different

Roman- Greedy, unforgivable, and a little bit eeh

Blooky- EVIL, DEVILISH, MEAN

Asgore- 50% of Undertale Asgore and a little bit stressed and rude and 43% of Underfell Asgore

Toriel- 50% of Underfell Toriel and 50% of Undertale Toriel

Nehemiah- A good, young, and smart boy. Sometimes gets annoyed by and wants Metta to shut up

Metta- LEGS

Zariel- A nice, greedy, and reasonable guy

Undyne- ARGhHhHHHzhshhhhhhhhhhhhh

Alphys- Shoosh, anime, nervousness, and 50% Undertale Alphys and 50% a cult leader of anime

Maps

Ruins- Trousled ruins

Snowdin ( forest )- Snome forest

Dark land( the place under Snome forest )

Snowdin- Snome

Waterfall- Icelands

Hotland- clock fire garden district

New home- Baseplate district

Endings

Kindness's hopes

Lesson

Backstory.....

Neutral evil

Failure pray

Asks are allowed

Asks available:

Chara- Red

Sans- Light blue

Asriel- Green

Papyrus- Light green

Mettaton- Pink

Nehemiah- Green little

@the-excellent-papyru

@lazyasyoucansee

[zeraphiimm]

HAPPY NEW YEAR 💖💖💖💖 hands you a blunt

happy new year!!! snomes it all in one breath

[6knotty6thotty6]

Yiro Snom

My lil bro @yirokobi (Twitter and Twitch) decided to art crime me by turning me into a Snom. So I Snomed him back. 

[mediinfotech-zain]

Top 10 Types of Medical Codes You Should Know

Medical coding is a crucial part of the healthcare system, turning patient diagnoses, treatments, and services into standardized codes. These codes are essential for billing, insurance claims, and keeping accurate medical records. Here’s a rundown of the top 10 types of medical codes every aspiring medical coder should be familiar with:

ICD-10-CM (International Classification of Diseases, 10th Revision, Clinical Modification):

This is the system used to code diseases, symptoms, and other health conditions. It’s like a universal language that doctors and healthcare providers use to describe a patient’s condition. Whether it’s a common cold or a complex chronic illness, ICD-10-CM codes are what make sure everyone’s on the same page.

CPT (Current Procedural Terminology):

CPT codes describe the procedures and services that doctors provide to patients. From a routine check-up to a complicated surgery, these codes ensure that healthcare providers are accurately paid for the services they deliver. They’re the backbone of medical billing.

HCPCS (Healthcare Common Procedure Coding System):

Think of HCPCS as an extension of the CPT codes. While CPT focuses on procedures, HCPCS includes a wider range of services, especially those covered by Medicare, such as ambulance rides or medical equipment. These codes ensure that all aspects of patient care are documented and billed correctly.

ICD-10-PCS (Procedure Coding System):

This coding system is used in hospitals for inpatient procedures. It’s more detailed than CPT and helps in documenting the specific procedures that patients undergo during their hospital stays, ensuring accurate billing and medical record-keeping.

DRG (Diagnosis-Related Group):

DRG codes are used by hospitals to classify patient cases. These codes determine how much Medicare will reimburse the hospital for a patient’s stay. It’s a way to standardize payments and make sure that hospitals are compensated fairly based on the care they provide.

NDC (National Drug Code):

NDC codes are unique identifiers for medications. They’re like barcodes for drugs, used by pharmacists and healthcare providers to track and manage prescriptions. These codes ensure that the right medication is given to the right patient and that billing is accurate.

LOINC (Logical Observation Identifiers Names and Codes):

LOINC codes standardize the results of lab tests and other clinical observations. They make sure that no matter where a patient’s tests are done, the results can be understood and compared across different healthcare settings.

SNOMED CT (Systematized Nomenclature of Medicine — Clinical Terms):

SNOMED CT is a vast and detailed coding system that covers everything from symptoms to procedures. It’s used in electronic health records (EHRs) to provide a comprehensive view of a patient’s medical history, supporting better clinical decisions and care coordination.

CDT (Current Dental Terminology):

These codes are used specifically in dentistry. They help dentists document procedures like cleanings, fillings, and extractions. CDT codes ensure that dental services are recorded accurately and that patients receive the appropriate coverage from their insurance.

Modifier Codes:

Modifier codes add extra details to CPT or HCPCS codes. They explain special circumstances, like if a procedure was done on both sides of the body or if multiple surgeons were involved. These codes help ensure that services are billed and reimbursed correctly, reflecting the nuances of the care provided.

Elevate Your Career with Mediinfotech Medical Coding Course

Mastering these different types of medical codes is key to a successful career in medical coding, and that’s where MediInfoTech comes in. As the leading medical coding institute in Telangana, MediInfoTech offers top-notch training that’s both comprehensive and accessible. Whether you’re looking for in-person classes or prefer to learn online medical course , MediInfoTech has the best medical coding courses tailored to your needs.

[schoolsformedicalbilling]

Joined-up healthcare makes information available when and where it is needed to improve safety, efficiency and effectiveness. Politicians may take interoperability between healthcare computer systems for granted, but it is non-trivial. Healthcare integration projects are notoriously under-estimated and come in over-budget and over-time. Joined-up healthcare depends on standards. The two leading standards are the SNOMED

[silkwyrm]

wabba snome

[nihiltism]

there's a post I made like a morbillion years ago that was really really good but there's no way in hell I'm ever finding it again. if anyone ever finds the thread I made about my beautiful snome (snail home) with all my snappliances (snail appliances) pleaaase send it to me again

[sahraeyll]

Joined-up healthcare makes information available when and where it is needed to improve safety, efficiency and effectiveness. Politicians may take interoperability between healthcare computer systems for granted, but it is non-trivial. Healthcare integration projects are notoriously under-estimated and come in over-budget and over-time. Joined-up healthcare depends on standards. The two leading standards are the SNOMED

[apexon-digital]

The Vital Role of Healthcare Data Standards: Ensuring Precision and Efficiency in Patient Care

In the ever-evolving landscape of healthcare, where precision, efficiency, and patient-centric care are paramount, the role of data standards cannot be overstated. Healthcare data standards serve as the backbone of modern healthcare systems, providing a common language for the exchange, interpretation, and utilization of health information across various platforms and stakeholders. In this blog, we delve into why healthcare data standards are indispensable in today's healthcare ecosystem.

Understanding Healthcare Data Standards

Healthcare data standards refer to the agreed-upon formats, structures, and codes used to capture, store, transmit, and exchange health information. These standards ensure interoperability, which is the seamless exchange and use of data between different healthcare systems, applications, and devices. Examples of healthcare data standards include HL7 (Health Level Seven), DICOM (Digital Imaging and Communications in Medicine), SNOMED CT (Systematized Nomenclature of Medicine Clinical Terms), and ICD (International Classification of Diseases).

Enhancing Interoperability

Interoperability lies at the heart of effective healthcare delivery. When healthcare systems, electronic health records (EHRs), medical devices, and other health IT systems can communicate with each other seamlessly, healthcare providers can access comprehensive patient information when and where it's needed. Data standards ensure that information flows smoothly across disparate systems, regardless of the vendor or platform, thereby reducing errors, redundancies, and delays in care delivery.

Facilitating Data Exchange

In an era where healthcare data is generated and stored in diverse formats and locations, the ability to exchange data securely and efficiently is crucial. Healthcare data standards provide a common framework for structuring and transmitting data, enabling healthcare organizations to share patient records, lab results, imaging studies, and other pertinent information securely and accurately. This facilitates care coordination, supports clinical decision-making, and improves patient outcomes.

Supporting Decision-Making and Analytics

Healthcare data standards play a vital role in unlocking the full potential of data analytics and decision support tools in healthcare. By standardizing data elements and vocabularies, healthcare professionals can aggregate, analyze, and derive insights from large datasets more effectively. Whether it's identifying trends, monitoring population health, or predicting disease outbreaks, standardized data ensures that analysts and researchers are working with consistent, reliable information.

Ensuring Regulatory Compliance

Compliance with regulatory requirements, such as those outlined in the Health Insurance Portability and Accountability Act (HIPAA) and the Affordable Care Act (ACA), hinges on the use of standardized data formats and protocols. Healthcare data standards help organizations meet regulatory mandates related to data security, privacy, and interoperability, thereby mitigating risks associated with non-compliance and ensuring patient confidentiality and safety.

Driving Innovation and Research

Standardized healthcare data serves as a catalyst for innovation and research in healthcare. By harmonizing data collection and reporting practices, data standards enable researchers to collaborate more efficiently, compare findings across studies, and accelerate the pace of discovery. Moreover, standardized data supports the development and deployment of emerging technologies such as artificial intelligence (AI), machine learning (ML), and predictive analytics, paving the way for personalized medicine and precision healthcare interventions.

Conclusion

In conclusion, healthcare data standards are indispensable in today's healthcare landscape, serving as the linchpin for interoperability, data exchange, decision-making, regulatory compliance, and innovation. By adopting and adhering to established standards, healthcare organizations can unlock the full potential of health information technology, optimize clinical workflows, and ultimately enhance the quality, safety, and efficiency of patient care. As the healthcare industry continues to evolve, the importance of healthcare data standards will only grow, underscoring their role as a cornerstone of modern healthcare delivery.

Keywords: healthcare data standards, interoperability, data exchange, decision-making, analytics, regulatory compliance, innovation, research.

[jcmarchi]

Removing Bias From Healthcare AI Tools - Technology Org

New Post has been published on https://thedigitalinsider.com/removing-bias-from-healthcare-ai-tools-technology-org/

Removing Bias From Healthcare AI Tools - Technology Org

A stethoscope. Image credit: Darko Stojanovic via Pixnio, CC0 Public Domain

Researchers from Oxford University’s Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS), University College London and the Centre for Ethnic Health Research, supported by Health Data Research UK, have for the first time studied the full detail of ethnicity data in the NHS. They outline the importance of using representative data in healthcare provision and have compiled this information into a research-ready database.

The new study, published in Nature Scientific Data, is the first part of a three-phase project to reduce bias in AI health prediction models trained on real-world patient data. The project addresses ethnicity disparities highlighted during the pandemic and is part of the UK Government’s COVID-19 Data and Connectivity National Core Study led by Health Data Research UK.

[embedded content]

The researchers used de-identified data on ethnicity and other characteristics from general practice and hospital health records, accessed safely within NHS England’s Secure Data Environment (SDE) service, via the British Heart Foundation Data Science Centre’s CVD-COVID-UK/COVID-IMPACT Consortium. This is the first time that patient ethnicity data has been studied at this depth and breadth for the whole population of England. The researchers were able to combine records to analyse patient self-identified ethnicity recorded through over 489 potential codes.

Researchers analysed how more than 61 million people in England identified their ethnicity in over 250 different groups. They also looked at the characteristics of those with no record of their ethnicity, and how conflicts in patient ethnicity data can arise. The data, now available for other researchers to use, shows that 1/10 patients lack ethnicity records, and around 12% of patients had conflicting ethnicity codes in their patient records.

Sara Khalid, Associate Professor of Health Informatics and Biomedical Data Science at NDORMS, explained: ‘Health inequity was highlighted during the COVID19 pandemic, where individuals from ethnically diverse backgrounds were disproportionately affected, but the issue is long-standing and multi-faceted.

‘Because AI-based healthcare technology depends on the data that is fed into it, a lack of representative data can lead to biased models that ultimately produce incorrect health assessments. Better data from real-world settings, such as the data we have collected, can lead to better technology and ultimately better health for all.’

Professor Cathie Sudlow, Chief Scientist at Health Data Research UK and Director of its BHF Data Science Centre said: ‘We are delighted to be supporting hundreds of researchers to harness the power of the UK’s rich health data. This study on ethnicity recording highlights how different sources of health data from the whole English population can be accessed and analysed in a safe and secure way, providing insights that are relevant to everyone. The findings will empower health professionals, patients, carers and policy makers to make better decisions that will benefit people of all ages, ethnic groups, and social backgrounds across the country.’

The study assessed the available detail of ethnicity data in NHS England, including across different types of ethnicity codes. For example, NHS hospitals record patient data via 19 ethnicity codes, while GPs use the globally recognised SNOMED-CT Codes, of which there are 489. However, health researchers lose the finer detail from these recording systems as they typically collapse these groups into just 5 or 6, potentially leading to less accurate research.

The researchers plan to demonstrate the value of these findings in the subsequent phases of the project, which will first focus on using these detailed results on ethnicity data to better describe how different the COVID-19 pandemic impacted ethnicities, and then feed into more equitable artificial intelligence and machine learning tools suitable for use by diverse patient groups.

Source: University of Oxford

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[wordfather]

Snad I can't fit in the snome what do I sndo :(

honey i shrunk the snids. with the shrinkinator. so they can fit in the snome