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_mxcz

23 karma · joined January 3, 2021

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_mxcz··on Show HN: Universal API for healthcare/life science search
Re the pricing, we can get in touch via email - thanks
_mxcz··on Show HN: Universal API for healthcare/life science search
Right now we're relying on publicly available data (e.g. CMS claims, publications, clinical trials, conferences). We plan to add commercial claims in the future. If a client has a specific dataset on physician procedures they want to use, we can easily intake that file and build them a search endpoint that uses their data.
_mxcz··on Show HN: Universal API for healthcare/life science search
Can you elaborate a bit more on integration with excel? Do you maybe have a use case?
_mxcz··on Show HN: Universal API for healthcare/life science search
Yes, we support searches based on CPT codes. We will add ICD-10 (conditions and procedures) soon. We can also accomodate a client's own physician dataset. Do you have a use case? We can chat.
_mxcz··on Show HN: Universal API for healthcare/life science search
HI, yes, the plan was to build or integrate with a FHIR API to retrieve EMR/claims data from healthcare providers, so we can mine those data as well.
_mxcz··on Show HN: Universal API for healthcare/life science search
Hi, I'm Kresimir at DocOne. Our API infrastructure enables any health-tech startup or an established company to quickly build an intelligent search for different types of end users, including patients, physicians and life science companies.

A user can run ultra-specific searches for physicians, specialties, medical conditions, procedures, therapies, articles and clinical trials. We're adding new data types such as healthcare/life science organizations, conferences, social media and industry relations/payment data.

The basis of the platform is a comprehensive, continually updated knowledge graph, built with the help of data science, especially NLP.

We'd love your feedback and we'll be here to answer any questions.

_mxcz··on Show HN: DocOne – A Search Engine for Healthcare
I like the 2nd idea, we're definitely exploring it, thanks.
_mxcz··on Show HN: DocOne – A Search Engine for Healthcare
thanks
_mxcz··on Show HN: DocOne – A Search Engine for Healthcare
I like that. we were going for a broader term but it may be more clear for now to keep it simple, as you suggested
_mxcz··on Show HN: DocOne – A Search Engine for Healthcare
great point about bookmarking
_mxcz··on Show HN: DocOne – A Search Engine for Healthcare
Re clinical trials, a person would learn from their physician whether they qualify and should look for one. It's challenging even for physicians to know which other physicians run trial. Our site indicates for each physician whether or not they participate in trials, and the specific phase.
_mxcz··on Show HN: DocOne – A Search Engine for Healthcare
Yes we have to add that.
_mxcz··on Show HN: DocOne – A Search Engine for Healthcare
Not sure what you mean. Do you mean drop-down? Usually it loads alphabetical list, then adjusts. Thanks
_mxcz··on Show HN: DocOne – A Search Engine for Healthcare
Sorry about that. "Bone Diseases, Developmental" are not enabled in the UI yet.

However, if you want, I can search for you via our API, where we have all conditions.

Thanks for the drop-down menu advice, will implement that.

_mxcz··on Show HN: DocOne – A Search Engine for Healthcare
you should search:

https://docone.io/search?code=D001172&term=Arthritis%2C%20Rh...

This condition is considered as a relapsing–remitting form of rheumatoid arthritis, despite some controversy.

_mxcz··on Show HN: DocOne – A Search Engine for Healthcare
which condition? perhaps they were hidden because only primary specialties are shown when results are first displayed. Click on specialty filter then enable specialties in which your doctors are. however, you are making me think that we should display physicians in all specialties right away when results load, and people can then de-select certain specialties and leave others.
_mxcz··on Show HN: DocOne – A Search Engine for Healthcare
Agree and thanks for that. We're still thinking how best to map complex disease taxonomies/ontologies into a simple user search and drop-down menu. I like the idea of grouping, it should't be hard.
_mxcz··on Show HN: DocOne – A Search Engine for Healthcare
Please see above for use cases on searches.

Dr. Reichlin died in 2018. That's why he's not in the system.

Lymphedema is here: https://docone.io/search?code=D008209&term=Lymphedema&limit=...

Fibromyalgia is here: https://docone.io/search?code=D005356&term=Fibromyalgia&limi...

Erythromelalgia is here: https://docone.io/search?code=D004916&term=Erythromelalgia&l...

Please let me know if you want me to help with searches for your family. As I said, I know this is version 1.0 and not super user friendly yet.

About page goes live in a week and will explain more on expertise scores. Our platforms incorporates the entire medical knowledge in it to compare the expertise that's needed for a certain condition with the expertise that a physician has.

It's not perfect, but I'd love to hear a comparison to other doctor searches. Thanks.

_mxcz··on Show HN: DocOne – A Search Engine for Healthcare
All true. This is version 1.0, far from perfect. Good advice, will fix all that soon.

Re the second part: search is by condition, so all specialists ranked relate to that condition. Each condition may be managed by multiple specialties, which is why the Specialties filter is extremely important. For example, you may already have a pulmonologist, but you need an oncologist or a surgeon. You can filter search results to only retain oncologists.

Not sure what you mean "specialist field directly". We will allow search by specialty, meaning that you can select "cardiology" or "oncology". That search won't be condition-specific. It'll rank e.g. oncologists across all cancers.

_mxcz··on Show HN: DocOne – A Search Engine for Healthcare
We're replacing that image and you are right about the size. We have to fix that.
_mxcz··on Show HN: DocOne – A Search Engine for Healthcare
See reply above
_mxcz··on Show HN: DocOne – A Search Engine for Healthcare
Thanks for great question. Our model is physician/enterprise subscription. This is primarily meant to be sold to health systems and health plans, and used by physicians (who refer and collaborate). However, it is also meant to power patient-facing "doctor search" on the insurance company website or health system website. You as a person would not use this site to guess a disease based on your symptoms. Symptom based search is generally very noisy (there are a few symptoms but thousands of diseases). The uses cases: (a) you know your condition/were diagnosed and looking for the right specialist; (b) there is a suspicion that you have a certain condition. In each case, either your primary physician will refer you or you want to select a specialist yourself (half of all referrals are self-referrals; this is consumerism in healthcare). By the way, try "sleep disorders", the most general term.

You are right about the UI. This site is for beta testing. We are adding About page in a week or so that will explain more what we do and what those scores mean. We haven't invested in enterprise designs yet.

_mxcz··on Show HN: DocOne – A Search Engine for Healthcare
Agree with most of what you said, except the first sentence. You sound like a physician (and I'm one too, and a data scientist). We take into account all those factors, including relevant procedures/regimens, research activities, quality measures etc. in an extremely granular, disease-specific manner. We don't survey physicians, because that is easily manipulated and it's subjective. Instead, we model nationwide referral network to discover authorities. Thanks for feedback.
_mxcz··on Show HN: DocOne – A Search Engine for Healthcare
Hi Hacker News! I’m the founder of DocOne (https://docone.io). DocOne delivers the most relevant physicians for any medical condition based on expertise. We currently cover all US physicians and ~4500 conditions.

Why? The complexity of medicine is accelerating exponentially. Medical knowledge doubles every few months. To keep up, physicians are focusing on narrow groups of conditions. While there are only around 40 traditional medical specialties, in reality there are >500 ultra-specialties.

If there’s one thing we’ve heard over and over from physicians (when they refer their patients) and people (when they search for specialists), it’s that they struggle to identify the right physicians. I’ve personally experienced this. Old-school physician directories (hospital, insurance, 3rd party like ZocDoc and Healthgrades) are essentially phone books. They don’t rely on expertise. They use patient reviews, which have no correlation with expertise. They often sell ads.

That’s why we created DocOne. Our team has a background in data science and medicine. We capture and mine large-scale, up-to-date medical knowledge sources, and use data science (computational linguistics, NLP, shallow and deep learning language models, information retrieval) to build models of medical conditions and to rank physicians according to their relevance to any given condition. Instead of doing the traditional search by physician specialty, people can do a precise search by an individual condition.

We're excited to show you the free and open version of our platform. We've tested it with a narrow group of patients, but we're ready to open it up to a broader user base. To search, start typing a medical condition and select an option from the drop down menu. Search nationwide, or type in a zip code or city/state. Filter by specialty (the platform knows all relevant specialties for each condition, helping the user search for the right type of specialist).

We hope you’ll take a moment to try docone.io and let us know how it goes. Excited to have your feedback! Please leave your thoughts and comments.

_mxcz··on Show HN: DocOne – A Search Engine for Healthcare
Hi, I agree. We have About page but we are currently updating it. It should go live soon. We'll hopefully submit our paper soon that will reveal a decent amount of technical detail as well.