Our consultants can support organisations with a wide variety of business challenges including but not limited to; Infrastructure risk management, regulatory compliance, cyber security, business transformation. Our clients often identify a critical need to understand how their business and technology assets relate to each other and the business advantage of optimizing the flow of their data. Obashi solves this. During our consulting projects we utilise our fully scalable OBASHI cloud-based platform to automate the OBASHI Methodology allowing us to model and produce Business & IT diagrams (B&IT’s) and Dataflow Analysis Views (DAVs). Our platform has an intuitive customisable front end that allows the project team to start creating their own visual representations of the way the people, process and technology interact across an organisation. Using the 6 Obashi layers a pictorial and data rich model can be constructed. Like the flow of water, we are continually evolving at Obashi, shaping and changing our landscape. Consulting opportunities and partnerships are driven by our customers and the trends we see shaping our business. Our projects will; • Provide a framework to document and model how people, process and technology interact through a business • Create a single source of truth across an organisation • Provide dynamic reporting across people, process and technology • Provide dataflows through the people, process and technology • Provide understanding of potential disruption and highlight key risks • Align leadership and organisational expectations around a change programme, strategic importance and deliverables • Facilitate better continuity and delivery of change outcomes • Remove false consensus/misalignment amongst leadership • Drive ownership and role clarity required to succeed • Improve integrated bottom up and top down support over time • Reduce apathy/frustration and organisation wide disruption • Mitigate the potential of delayed targets due to poor preparation and assumptions

We Help People See Data Flow Obashi Technology Ltd is a Dataflow Technology company, headquartered in Falkirk, Scotland. Obashi Technology Ltd is the world leading dataflow expert and its co-founders have written the fundamental laws and principles around the control, management and governance of the most abundant business resource on the planet: Data. Using our unique OBASHI Methodology and OBASHI Platform, we create clarity by modelling the relationships and dependencies between business and IT assets. We help you see the ‘Big Picture’ of how your business works. We call the movement of information between people, processes, and technology: dataflow. Dataflow is the lifeblood of the modern world. It is as critical to everyday life as the flow of water, energy, and transport. We take for granted the control, management, and governance these flows, and yet when it comes to dataflow, no one speaks the same language. Our OBASHI Platform helps join the dots between people, process and technology. Our fully scalable cloud based OBASHI Platform is designed to control, manage, and govern dataflow. It automates our unique dataflow methodology and allows users to model and produce Business & IT diagrams (B&ITs) and Dataflow Analysis Views (DAVs). The OBASHI Platform has an intuitive customisable front end, which allows the user to start creating their own visual representations of the way the people, process and technology interact across their organisation. The ability to add and export data and simulate ‘what-if scenarios’ enables the user to perform analysis and reporting from the front-end, supporting business critical questioning and strategic decision making. Our OBASHI Methodology and OBASHI Platform together form the key that unlocks organisational challenges related to business optimisation, cyber security, regulatory compliance such as GDPR and PCI DSS, infrastructure risk management, and more. Obashi’s commitment to educating students of all ages on the language of dataflow is a responsibility we are proud and passionate about. As experts in all thing’s dataflow, we have developed ‘OBASHI Learn’ to support the delivery of the Higher National Certificate/Diploma (HNC/D) Unit in Data Flow with the Scottish Qualifications Authority (SQA) and Further Education Colleges. The unit was verified by SQA in 2019 and is being taught to college students across Scotland since January 2020. The methodology developed by Obashi is accredited by APMG International and an online foundation course is available through ITSMZone.

Sickbay is an FDA-cleared clinical platform providing hospitals with the only vendor-neutral, integrated patient monitoring solution in healthcare. Sickbay consolidates disparate sourced, time-sequenced patient monitoring data with an average of 25 milliseconds per patient. Sickbay drives cost-effective patient monitoring and powers analytics by providing instantaneous and persisted physiological data to clinicians, researchers, and algorithm developers. Viewing data consolidated in Sickbay on any laptop or mobile device, on wallboards, and in on-prem or remote command centers enables clinicians to deliver the best possible care to patients throughout the hospital.

Medical Informatics Corp.’s (MIC) mission is to deliver next-generation technologies to unify patient monitoring workflows for healthcare systems. MIC’s decade of innovation with its clinical platform, Sickbay, integrates over 30,000 vendor-neutral signals on two percent of hospital beds with over 10,000 clinical users in the United States. Most hospital systems lack native resolution data aggregated through a single source, instead deploying a multi-device strategy that silos data and data access time frames. The Sickbay Clinical Platform stands alone as the only FDA-cleared platform to aggregate time-series waveform data across disparate devices at native resolution. Current bedside devices delete data on average after 72 hours, while Sickbay saves the data indefinitely. Sickbay provides a portal through which care providers can review aggregated, time-synchronized data, annotate it, and collaborate to create algorithms (including ML & AI) and evaluate post-event care. Those algorithms and care models can then be reintroduced into the platform to advance care and innovation. Simply put, Sickbay provides the hospital teams their data from anywhere, anytime, to optimize workflows, analysis, and risk stratification across the patient care spectrum. The diverse team at MIC is fundamentally unlocking a blue ocean of new patient monitoring capabilities for ourselves, our partners, and our clients. MIC’s Sickbay saves lives, improves outcomes, streamlines strategy and technologies, and reduces the overall caring cost for hospital patients nationwide.

The EHR is intended to be a point of care reference to support billing. Traditionally, only documenting discreet vitals from patient monitoring devices at single points.

Sickbay Clinical Platform:

• captures consolidated, persistent, time-series waveform data from networked and non-networked bedside devices at its native resolution
• re-displays near real-time, time aligned signals at an average latency of <25 mSec
• integration of risk scores and analytics

Sickbay is a single, interconnected platform that is designed to support dozens of use cases, therefore competition is dependent upon the use case. In addition to the data agggregation, consolidation, and visualilzation differences referenced under EHR functionality, key differentiators in patient monitoring & virtual care include: 

• vendor neutral device integration
• web-based to support monitoring on any PC, tablet, phone or embedded EHR workflow
• flexible, modular design to enable ability to monitor 50+ patients across units, facilities, and vendors
• unlimited retrospective data, from one second to one year+, to support building and sharing of trends, CDI documentation support, quality reporting
• integration, development and deployment of near real-time risk scores and analytics into established workflows
• automated documentation of vitals, ECG strips, and event trends into the EHR