Haemonetics (HAE), the leader in blood management solutions grew from $350M to $1B in revenues in 7 years
How did Ayantek help HAE become a Digital Master?
- 2 Workshops
- Directors, VPs, General Managers, Marketing Managers etc.
- 8 Interviews
- CFO, CMO, Regional VPs etc.
- 19 + 2 Respondents
- Directors, Product Managers etc
- Vendor Analysis
- Infrastructure Strategy Managers,
- CMS Selection
- 16 Interviews
- Blood Center, Hospital and Plasma Segments
- 4 Sites
- Boston Scientific
- Caridian BCT
The SMAC Stack: Harnessing the power for Social, Mobile, Analytics, and Cloud technologies
Click on the pinto view information about Mobile technologies
Craft a responsive experience.
Hospital decision makers are increasingly using multiple devices – smartphone, tablet, and desktops. Your site experience needs to render wonderfully irrespective of the device.
Throttle the amount of content and functionality based on device type.
Devices are not all made equal. Identify the top 5 use-cases for each device type and start by getting them right. Then move on to others.
Click on the pin to view information about Analytics technologies
Understand your audience behavior.
Physicians, hospital administrators, GPOs will exhibit different behaviors as they traverse your site. Analyze their usage data by audience type to understand what content is most relevant for each segment.
Identify the right Key Performance Indicators (KPI’s).
For each phase of the buying cycle, setting-up conversion milestones. Then adjust your content priorities based on the success or failure of reaching those milestones.
Click on the pin to view information about Cloud technologies
Centralize the content.
Ensure hospital decision makers have all the content they need, at all points of their decision making process.
Deliver real-time personalization.
Tying your analytics tool with the cloud’s scalability provides the ability to deliver rich, personalized, unique experiences to physicians, hospital administrators, GPOs.
After HAE’s new global site launch
The next wave in MedTech is Connected Device Infrastructure
Capital equipment devices typically cost significant dollars and are therefore expected to operate at high utilization for multiple years. When these devices break down, there is significant impact to the hospital / clinic and patient throughput. In these situations it is critical to ensure high utilization of the device and proactively trap potential device errors before they occur. Connected device infrastructure could drive this proactive service rather than reactive service. A smart, connected device that malfunctions could automatically deliver an error notification to a centralized cloud-based service monitored by support technicians. A connected device would allow the technician to connect in real-time to the device to trouble-shoot and resolve the issue.
Trained technicians usually perform regular device maintenance on a recommended schedule. A connected device could automatically initiate a maintenance service request based on run-time or on a regular schedule. Maintenance visits can be planned and arranged without any human intervention. From a supply chain perspective, parts replaced during maintenance or device upgrades could automatically be used to manage inventory and production levels.
In a smart, connected environment, a multitude of devices in a clinical operation could provide device-level data. This data can be aggregated to provide administrators an aggregated view of all the device operations across their realm of responsibility. A cloud-based service could then be used to drive dashboards and reports that showcase device utilization, performance, and other functional time-series data at the individual device level or on a broader aggregated level. Clinical administrators can utilize this data to optimize resource allocations and device efficiency’s.
With the proper security and regulatory procedures in place, an IoT device could generate, analyze, and transmit patient data highlighting anomalies or discrepancies. Such a connected set of devices operating with an awareness of their broader use can collaborate and correlate the full spectrum of patient life-cycle data. Processing applications can be customized to consume this data, perform statistical analysis, driving better patient outcomes.
Devices often have embedded software / firmware that require regular upgrades as new versions are released. Typically these releases are packaged up and delivered in a non-standard manner either on a CD or another type of storage device for the operator to install. A connected IoT infrastructure could streamline the process by allowing automated update checks by the device, downloads, and approved installs.
New service based pay-per-use monetization models open up whereby customers can determine the level of device functionality and add, remove features based on their device specific needs and usage patterns. A SaaS based approach to delivering device functionality would introduce an ongoing subscription based fee structure among other mechanisms to drive revenue growth.
On the consumables side, clinical operations usually reorder disposables either online or phone when they run out of supplies. A self-aware IoT infrastructure would allow the product to realize that it is the last one in the box and auto-order, thus taking the human hassle of reordering out of the mix.
Sales and demand gen functions typically operate within operational siloes without closed loop performance data. An intelligent IoT ecosystem could provide information about the organizational setup and open new avenues to cross-sell and up-sell across health care clinics, hospital affiliates, and other care sites.
Are you ready to handle the impact of IoT?
Ayantek can help maximize your IoT potential by defining the right IoT technology framework, customer experience, and operations strategies to give you a leg up on your competition.