Personal Healthcare Devices-wearables And Sensors

Global Market Outlook on Personal Healthcare Devices-wearables And Sensors

• The technologies with the perceived most disruptive potential in the next five years is artificial intelligence and remote monitoring. Wearables, IoT (Internet of things) Virtual reality, 3D printing and Block chain are next in the ranking, leaving 5G as the least disruptive
• Most Mobile Health publishers are rather new to the market, these established and successful stakeholders can serve as best-in-class or role models and pave the way for the new breed of digital intruders
• The popularity of health insurers as a distribution channel has been slowly increasing over the years, and has even overtaken “app stores” as the best distribution channel

Technologies in Healthcare IoT  System

• The technologies with the perceived most disruptive potential in the next five years is artificial intelligence and remote monitoring. Wearables, IoT (Internet of things) Virtual reality, 3D printing and Block chain are next in the ranking, leaving 5G as the least disruptive
• Most Mobile Health publishers are rather new to the market, these established and successful stakeholders can serve as best-in-class or role models and pave the way for the new breed of digital intruders
• The popularity of health insurers as a distribution channel has been slowly increasing over the years, and has even overtaken “app stores” as the best distribution channel

Patient-level Data Analytics

• Patient-level analytics have become the common language of healthcare, creating valuable linkages within your company and within the broader healthcare environment
• The growth of the specialty medicines, tougher market access, rising payer controls, accelerating patient influence and escalating safety concerns are driving the need for a more consistent, patient-based views of your brands and markets

Benefits of Patient Level Data Analytical Testing

Indications Analysis

Where products are used for more than one indication, a thorough process applied to patient data provides the ability to define and validate a probable indication / Rx. Findings can be used to conduct market research studies for each individual indication or to report on market and product sales for each indication.

Patient Selection

Create more refined, meaningful and descriptive patient cohorts using measures of prescription dynamics, therapy/disease progressions, and payer types, in addition to traditional demographics. Isolating critical patient cohorts allows you to conduct important sub-group analysis.

Line Of Therapy Analysis

Track the patient cohorts over time to uncover how patients are currently treated. Treatment options for each disease state, duration of treatment, top drug combinations and product shares in each line of therapy, frequency and duration of drug holidays.

Utilization & Adherence  Analysis

Track changes in daily dosing, dose titrations, cycles of therapy, and concomitant drugs. This allows you to evaluate whether products are being used as per suggested guidelines, and where opportunity exists to improve utilization amongst existing patients. Evaluation of patient persistence and compliance to brands. This can facilitate the design and evaluation of programs to improve patient adherence.

Big Data – Health Care Analytics

The popularity of big data-driven Big Data tools to automate and streamline operational processes and revenue cycle management may be growing as providers stare down value-based reimbursement reforms and regulatory wallops like MACRA, and health IT vendors are certainly banking on increasing adoption over the next few years.

Benefits From Big Data Analytics

• Popular technologies supporting daily operations for healthcare providers, including tools to aid supply chain management, payroll, human resources, enterprise resource planning (ERP), and workflow automation.
• Hospitals are likely to have a combination of revenue cycle & business intelligence tools with an average of 3.3 implementations per care site.
• ERP offerings allow providers to access an integrated view of back-end business processes, such as payroll, orders and purchasing, workload forecasting and management, customer services, and accounting.
• The performance management (PM) tools are becoming increasingly important for healthcare providers, especially those seeking to make the move to value-based reimbursement arrangements
• Big Data functionalities often rely on an enterprise-wide data warehouse that allows providers to collect, manipulate, analyze, and visualize big data to make actionable decisions, but may also leverage a smaller data warehouse