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Icon: Recent News

Recent News

MAY 13, 2019 — MEDIA HIT

IQuity Research Unveils Potential $18 Billion in Health Plan Cost-Savings and Demonstrates Effectiveness of Identifying At-Risk Autoimmune Disease Patients

IQuity's recently published overview of six conditions affecting approximately 60 million people at an estimated cost to diagnose and treat of $90B annually.

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DECEMBER 1, 2018 — MEDIA HIT

Predictive and Prescriptive Promise

With the promise of improving outcomes and cutting costs, artificial intelligence is getting plenty of attention.

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OCTOBER 9, 2018 — Press Release

SwitchPoint Ventures, Raiven Health Team Up to Accelerate AI Efforts for Behavioral Health

Executives will help Advance Raiven's "GPS for Patient Care" Solution, Participate in Oct. 11 Cohen Veterans Care Summit.

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AUGUST 17, 2018 — Media HIT

WPC veterans launch AI venture

Three veteran local technology executives have launched a venture focused on making artificial intelligence work for clients in a number of industries — and aiming to build a broad portfolio of equity stakes along the way.

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AUGUST 14, 2018 — Press Release

SwitchPoint Ventures Launches Firm to Connect Companies to AI Capability and Investors to AI Opportunity

SwitchPoint Ventures, comprised of former leaders of WPC Healthcare, has launched operations with a strong portfolio of companies.

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JULY 24, 2018 — Press Release

IQuity Launches Healthcare Analytics Platform

Former WPC Healthcare/Intermedix executives named advisors for new platform.

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JULY 21, 2018 — Event

2018 Nashville Analytics Summit Invited Talk: Bryan Huddleston

Forests and Trees: An Analytical Methodology for Value Based Customer Segmentation

JULY 21, 2018 — Event

2018 Nashville Analytics Summit

Love to Think: A Data Science Strategy for Impacting Community

JUNE 26, 2018 — Event

2018 Triannual TennCare Health Plan Invited Talk: Damian Mingle

Empowering Medicaid: Improving Health and Program Efficiencies With Machine Learning.

JUNE 22, 2018 — Event

Hands on Nashville Community Partner Program Invited Talk: Damian Mingle

Generating Deep Impact With Your Data: A Non-Techie View

JANUARY 25, 2018 — Media Hit

Augmented intelligence: The better AI

Having even a high-level understanding of what machine-learning algorithms do is becoming an increasingly valuable skill for anyone working in the healthcare industry. named advisors for new platform.

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Icon: Data Science Research

SwitchPoint Research

NOVEMBER 2018

Predicting Hospital Readmission among Diabetics using Deep Learning

Predicting readmissions in early stages allows prompting great attention to patients with high risk of readmission, which leverages the healthcare system and saves healthcare expenditures.

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JULY 2018

Crowdsourcing seizure detection: algorithm development and validation on human implanted device recordings

With the promise of improving outcomes and cutting costs, artificial intelligence is getting plenty of attention.

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JANUARY 2017

Predicting Diabetic Readmission Rates: Moving Beyond HbA1ca

Being able to risk identify patients facing a high likelihood of unplanned hospital readmission in the next 30-days could allow for further investigation and possibly prevent the readmission.

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OCTOBER 2015

The Evolving Definition of Sepsis

This paper reviews the evolution of the definition of sepsis and the controversy surrounding the sepsis-3 definition and the sepsis screening tool, qSOFA.

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DECEMBER 2015

West Nile Virus in Mosquitoes: Accurately Predicting Outbreaks with Data Science

This study intends to examine the effects that a data science approach may have regarding the ability for a machine to predict when and where different species of mosquitoes will test positive for West Nile virus given weather, location, testing, and spraying data.

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OCTOBER 2015

A Multi-Pronged Approach to Data Mining Post-Acute Care Episodes

With the advent of the Patient Protection and Affordable Care Act (PPACA) of March 2010, numerous government-sponsored reimbursement demonstration projects initiated the change in medicine from fee-for-service reimbursement to value-based-care reimbursement models.

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2015

A Discriminative Feature Space for Detecting and Recognizing Pathologies of the Vertebral Column

This work aims to present medical decision support for those healthcare providers who are working to diagnosis pathologies of the vertebral column. This framework is comprised of three subsystems: feature engineering, feature selection, and model selection.

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