-
-
-
-
-
-
SMALL BRAIN RECORDS
-
-
-
-
Small Brain is a web based clinical information system. It's a radically different model than first
- generation EHRs. Our system has been designed to handle complex patients while capturing the most
- objective data generated during the encounter, all the while reducing time charting.
-
We have worked with leading information scientists and physicians to create something revolutionary.
- Check it out for yourself, it's an open source project so if you have the skills we will help you get
- started. If you need us to do all the tech work we can make that happen too.
-
-
-
-
-
-
Like all great stories it started around a fire. Kevin Perdue and James Ryan were reflecting on the
- strange state of clinical informations systems and soon began to dream of making something truly cool.
-
-
We began by getting help. One of our earliest advisors was Charles Friedman who became our
- Gandalf, and without his caring support would not have been brave enough to leave the Shire. Here's a
- link to a video
- of one of the lectures he invited us to give.
-
-
-
-
The Thing itself
-
-
-
Small brain records is a problem, task, encounter based system. Its goal is to allow complex patients
- to be managed safely while ensuring that the data collected during clinical care is accurate and
- objective.
-
-
-
The system is web based and allows patients and their care team to collaboratively manage their health.
- Problems can be accessed by patients and physicians, and notes, images, orders and other relevant data can
- be added or reviewed by both user types.
-
Tasks are also collaborative, allowing patients and their care team to manage the Todo list, and each
- Todo provides a space for task specific communication. The system automatically connects the task with
- the relevant clinical problem, and any clinical encounters it is referenced in.
-
Encounters are audio recorded, compressed and uploaded all in the browser. The system automatically
- annotates the audio recording linking the appropriate parts of the encounter to each relevant problem and
- task. Here are
- some videos of the system in use.
-
-
-
-
Human health is difficult to model with a series of static word documents. By providing
- dynamic modules our system uses the finest techniques to engage the user.
-
-
-
-
"Futuristic and has great potential... Looking forward to your next iteration."
- Jiajie Zhang
-
-
-
-
Learning enabled
-
-
-
The system has been built to learn how I practice medicine, how I heal, how I recommend, how I use the system
- itself. The the set of actions we as physicians undertakes to care for patients is finite and
- categorical. We started with a simple ontology for our prototype, and since then have continued to add
- and sub-categorize. This data set informs the system how I work, both in the context of a particular
- patient, but also in the context of a particular clinical problem and task. With continued use the system
- can predict what I will do next as I navigate through it, and so the buttons I click today are teaching the
- system how to follow and predict me autonomously. This is what you want as a unique clinician.
-
By starting with the most elemental model of healing we ensure that changes in technology will not
- disturb the evolution of the system. We tested our model against every recorded instance of the
- healing act on the planet. You can drop this puppy into the hands of a tech happy shaman in the wild
- and they will find it as helpful as an urban internal medicine physician.
-
-
Clinical data and user actions:
-
A system that can simultaneously measure and run feedback loops. manual user efforts transferred to machine
- operations. A learning health system inside a virtual cycle, inside a learning health system.
-
-
-
-
Open source
-
-
-
The system is AGPL V3. The code is on github. email Jim at ryanjam4@msu.edu for repository
- access.
-
-
We believe that healthcare needs tools to start exploring, and people to explore with. Our hearts
- and minds are tired of continued steps to maximize profits at the expense of scientific growth and clinical
- use. Startups promising wonders that don't materialize. The need to explore is a real human
- desire that when undertaken with love, patience and great advisors can yield a thing that can remedy some of
- the negative feelings that health care has been plagued with.
-
-
-
-
Transparent and collaborative
-
-
-
Patient's and their care givers have never had such deep access and privileges to collaborate in their health
- records. As Glynn Elwin said "it's like Open Notes on steroids". Patients can log in
- and add problems, add notes to current problems that become part of the legal document, add images, data
- points and even data types. Tasks, orders, referrals etc. can be discussed in a meaningful way that
- retains the clinical context. Patients can grant access to family members or other individuals that they
- trust to help them on the health journey. Encounters are audio recorded and easy to access on most
- modern devices. Particular discussions can quickly be found in the appropriate problem and easily
- tagged for quick access. We see our system as the logical conclusion of a patient portal ie. one
- unified system that enables deep collaboration. Have a look at this video that shows
- the basic features of the system from the patient's perspective.
-
+
+
+
+
+
+
+
+
+
SMALL BRAIN RECORDS
+
+
+
+
Small Brain is a web based clinical information system. It's a radically different model than
+ first
+ generation EHRs. Our system has been designed to handle complex patients while capturing the
+ most
+ objective data generated during the encounter, all the while reducing time charting.
+
We have worked with leading information scientists and physicians to create something revolutionary.
+ Check it out for yourself, it's an open source project so if you have the skills we will help you
+ get
+ started. If you need us to do all the tech work we can make that happen too.
+
+
-
-
-
FHIR integration
-
-
-
We're still in FHIR prototype mode but getting closer to full FHIR integration. Currently we have three
- prototype clinical modules built to experiment with modular design {a colon cancer, A1C, and warfarin
- management application}. These have been guiding our next architectural step toward full FHIR
- use. We have a FHIR server up and running and will be testing simple data exchange.
- Ultimately our system can be used as a stand alone, or in concert with other systems.
-
-
-
-
Advisors
-
-
-
Our current advisors are Charles Friedman , John Beasley, and Timothy Pletcher. We would also not have
- journeyed this far without the support and guidance of many others, in particular Martin Wehlou, Mark
- Leavitt, and Josh Mandel.
-
-
-
-
"very exciting" John Ioannidis
-
-
-
If you are a resident or practicing physician with a passion for designing tools that facilitate care and are
- interested in beta-testing some of the features of our system, we would love to work with you. Feel free to
- read our research journal The Digital Transformation of Primary Care.
-
+
+
+
+
+
+
Like all great stories it started around a fire. Kevin Perdue and James Ryan were reflecting on
+ the
+ strange state of clinical informations systems and soon began to dream of making something truly
+ cool.
+
+
We began by getting help. One of our earliest advisors was Charles Friedman who became our
+ Gandalf, and without his caring support would not have been brave enough to leave the Shire.
+ Here's a
+ link to a
+ video
+ of one of the lectures he invited us to give.
+
+
+
+
+
The Thing itself
+
+
+
Small brain records is a problem, task, encounter based system. Its goal is to allow complex
+ patients
+ to be managed safely while ensuring that the data collected during clinical care is accurate and
+ objective.
+
+
+
The system is web based and allows patients and their care team to collaboratively manage their
+ health.
+ Problems can be accessed by patients and physicians, and notes, images, orders and other relevant
+ data can
+ be added or reviewed by both user types.
+
Tasks are also collaborative, allowing patients and their care team to manage the Todo list, and each
+ Todo provides a space for task specific communication. The system automatically connects the
+ task with
+ the relevant clinical problem, and any clinical encounters it is referenced in.
+
Encounters are audio recorded, compressed and uploaded all in the browser. The system
+ automatically
+ annotates the audio recording linking the appropriate parts of the encounter to each relevant
+ problem and
+ task. Here
+ are
+ some videos of the system in use.
+
+
+
+
Human health is difficult to model with a series of static word documents. By
+ providing
+ dynamic modules our system uses the finest techniques to engage the user.
+
+
+
+
+ "Futuristic and has great potential... Looking forward to your next iteration."
+
+
+
+
+
+
+
+
+
+
Learning enabled
+
+
+
The system has been built to learn how I practice medicine, how I heal, how I recommend, how I use
+ the system
+ itself. The the set of actions we as physicians undertakes to care for patients is finite and
+ categorical. We started with a simple ontology for our prototype, and since then have
+ continued to add
+ and sub-categorize. This data set informs the system how I work, both in the context of a
+ particular
+ patient, but also in the context of a particular clinical problem and task. With continued use the
+ system
+ can predict what I will do next as I navigate through it, and so the buttons I click today are
+ teaching the
+ system how to follow and predict me autonomously. This is what you want as a unique
+ clinician.
+
By starting with the most elemental model of healing we ensure that changes in technology will not
+ disturb the evolution of the system. We tested our model against every recorded instance of
+ the
+ healing act on the planet. You can drop this puppy into the hands of a tech happy shaman in
+ the wild
+ and they will find it as helpful as an urban internal medicine physician.
+
+
Clinical data and user actions:
+
A system that can simultaneously measure and run feedback loops. manual user efforts transferred to
+ machine
+ operations. A learning health system inside a virtual cycle, inside a learning health
+ system.
+
+
+
+
+
+
+
+
Open source
+
+
+
The system is AGPL V3. The code is on github. email Jim at ryanjam4@msu.edu for
+ repository
+ access.
+
+
We believe that healthcare needs tools to start exploring, and people to explore with.
+ Our hearts
+ and minds are tired of continued steps to maximize profits at the expense of scientific growth and
+ clinical
+ use. Startups promising wonders that don't materialize. The need to explore is a real
+ human
+ desire that when undertaken with love, patience and great advisors can yield a thing that can remedy
+ some of
+ the negative feelings that health care has been plagued with.
+
+
+
+
+
+
+
+
Transparent and collaborative
+
+
+
Patient's and their care givers have never had such deep access and privileges to collaborate in
+ their health
+ records. As Glynn Elwin said "it's like Open Notes on steroids". Patients can
+ log in
+ and add problems, add notes to current problems that become part of the legal document, add images,
+ data
+ points and even data types. Tasks, orders, referrals etc. can be discussed in a meaningful way
+ that
+ retains the clinical context. Patients can grant access to family members or other individuals that
+ they
+ trust to help them on the health journey. Encounters are audio recorded and easy to access on
+ most
+ modern devices. Particular discussions can quickly be found in the appropriate problem and
+ easily
+ tagged for quick access. We see our system as the logical conclusion of a patient portal ie.
+ one
+ unified system that enables deep collaboration. Have a look at this video
+ that shows
+ the basic features of the system from the patient's perspective.
+
+
+
+
+
+
+
+
FHIR integration
+
+
+
We're still in FHIR prototype mode but getting closer to full FHIR integration. Currently we
+ have three
+ prototype clinical modules built to experiment with modular design {a colon cancer, A1C, and
+ warfarin
+ management application}. These have been guiding our next architectural step toward full
+ FHIR
+ use. We have a FHIR server up and running and will be testing simple data exchange.
+ Ultimately our system can be used as a stand alone, or in concert with other systems.
+
+
+
+
+
+
+
+
Advisors
+
+
+
Our current advisors are Charles Friedman , John Beasley, and Timothy Pletcher. We would also
+ not have journeyed this far without the support and guidance of many others, in particular Martin
+ Wehlou, Mark Leavitt, and Josh Mandel.
+
+
+
+
+ Very exciting
+
+
+
+
+
+
If you are a resident or practicing physician with a passion for designing tools that facilitate
+ care and are
+ interested in beta-testing some of the features of our system, we would love to work with you.
+ Feel free to
+ read our research journal The Digital Transformation of Primary
+ Care.
+
+
+
+
+