[{"innerBlocks":[],"name":"core\/freeform","postId":3634,"blockType":{"name":"core\/freeform","keywords":[],"attributes":{"content":{"type":"string","source":"raw"},"lock":{"type":"object"}},"providesContext":[],"usesContext":[],"selectors":[],"supports":{"className":false,"customClassName":false,"reusable":false},"styles":[],"variations":[],"apiVersion":3,"title":"Classic","description":"Use the classic WordPress editor.","category":"text"},"originalContent":"One of the nation\u2019s pioneers in research of healthcare information technology is joining forces with an analytics vendor in an effort to commercialize text analytics technology that seeks to gain medical value from unstructured data within providers\u2019 digital health records.

The Regenstrief Institute and Health Catalyst announced the initiative during the HIMSS17 Conference and Exhibition in Orlando. Under the agreement, the partners would aim to bring Regenstrief\u2019s artificial intelligence-powered text analytics technology to the provider marketplace, with additional support from Health Catalyst.

The initiative is important because it holds the promise of enabling provider organizations to apply AI against unstructured data within their records systems to permit localized, granular research. Information embedded in the unstructured text portion of records contains the vast majority of patient information in EHRs, experts say.

In addition to its long-standing efforts in HIT research, Regenstrief helped develop the Indiana Health Information Exchange, through which it internally developed its nDepth technology, which it\u2019s used to search the text of more than 230 million records from 17 million patients.

Also See<\/b>: Machine learning seen speeding diagnoses<\/a>

As a commercialization partner, Health Catalyst will incorporate the nDepth solution in the company\u2019s analytics platform, which it says is used by health systems serving 85 million patients in the U.S.

\u201cSome 80 percent of clinical data is locked away in unstructured physician notes that can\u2019t be read, so it can\u2019t be accessed by advanced decision support and quality improvement applications,\u201d says Peter Embi, MD, the Regenstrief Institute\u2019s president and CEO. The joint effort could \u201chelp millions of patients benefit from the untapped potential hidden within unstructured data.\u201d

Embi says nDepth can be used to analyze any document type, enabling clinicians or quality improvement professionals to discover meaningful insights. It uses natural language processing\u2014a combination of linguistics, pattern recognition and machine learning\u2014to derive meaning from text. To that technical mix, nDepth adds clinical domain expertise and extensive phenotype libraries that have been developed by clinicians.

Regenstrief has been able to use nDepth to find patients with metastatic melanoma; identify pre-diabetic patients for clinical trials; capture hypoglycemic events; identify patients with a family history of lung cancer; detect treatment failure for patients suffering from insomnia; and identifying \u201ctriple negative\u201d breast cancers.

\u201cText and (natural language processing) technology in healthcare has been stuck in the realm of tinkering and has not had an impact on the front lines of care,\u201d says Dale Sanders, executive vice president of development for Health Catalyst. \u201cThis partnership is going to make a breakthrough contribution across the board\u2026in clinical research, quality of care, precision medicine and cost reduction.\u201d

The joint effort to marry the products was assisted by Memorial Hospital at Gulfport (Miss.), a 445-bed hospital, which served as the co-development partner and first deployment site for the integration of nDepth into Health Catalyst.

\u201cIt\u2019s important for community health systems like Memorial that have made significant investments in electronic health records to take the next step in care by unlocking the value in the EHR's unstructured data,\u201d says Gene Thomas, the facility\u2019s CIO. The incorporation of nDepth into Health Catalyst\u2019s analytics tool \u201cis enabling that value to impact the front lines of care for the first time.\u201d","saveContent":"One of the nation\u2019s pioneers in research of healthcare information technology is joining forces with an analytics vendor in an effort to commercialize text analytics technology that seeks to gain medical value from unstructured data within providers\u2019 digital health records.

The Regenstrief Institute and Health Catalyst announced the initiative during the HIMSS17 Conference and Exhibition in Orlando. Under the agreement, the partners would aim to bring Regenstrief\u2019s artificial intelligence-powered text analytics technology to the provider marketplace, with additional support from Health Catalyst.

The initiative is important because it holds the promise of enabling provider organizations to apply AI against unstructured data within their records systems to permit localized, granular research. Information embedded in the unstructured text portion of records contains the vast majority of patient information in EHRs, experts say.

In addition to its long-standing efforts in HIT research, Regenstrief helped develop the Indiana Health Information Exchange, through which it internally developed its nDepth technology, which it\u2019s used to search the text of more than 230 million records from 17 million patients.

Also See<\/b>: Machine learning seen speeding diagnoses<\/a>

As a commercialization partner, Health Catalyst will incorporate the nDepth solution in the company\u2019s analytics platform, which it says is used by health systems serving 85 million patients in the U.S.

\u201cSome 80 percent of clinical data is locked away in unstructured physician notes that can\u2019t be read, so it can\u2019t be accessed by advanced decision support and quality improvement applications,\u201d says Peter Embi, MD, the Regenstrief Institute\u2019s president and CEO. The joint effort could \u201chelp millions of patients benefit from the untapped potential hidden within unstructured data.\u201d

Embi says nDepth can be used to analyze any document type, enabling clinicians or quality improvement professionals to discover meaningful insights. It uses natural language processing\u2014a combination of linguistics, pattern recognition and machine learning\u2014to derive meaning from text. To that technical mix, nDepth adds clinical domain expertise and extensive phenotype libraries that have been developed by clinicians.

Regenstrief has been able to use nDepth to find patients with metastatic melanoma; identify pre-diabetic patients for clinical trials; capture hypoglycemic events; identify patients with a family history of lung cancer; detect treatment failure for patients suffering from insomnia; and identifying \u201ctriple negative\u201d breast cancers.

\u201cText and (natural language processing) technology in healthcare has been stuck in the realm of tinkering and has not had an impact on the front lines of care,\u201d says Dale Sanders, executive vice president of development for Health Catalyst. \u201cThis partnership is going to make a breakthrough contribution across the board\u2026in clinical research, quality of care, precision medicine and cost reduction.\u201d

The joint effort to marry the products was assisted by Memorial Hospital at Gulfport (Miss.), a 445-bed hospital, which served as the co-development partner and first deployment site for the integration of nDepth into Health Catalyst.

\u201cIt\u2019s important for community health systems like Memorial that have made significant investments in electronic health records to take the next step in care by unlocking the value in the EHR's unstructured data,\u201d says Gene Thomas, the facility\u2019s CIO. The incorporation of nDepth into Health Catalyst\u2019s analytics tool \u201cis enabling that value to impact the front lines of care for the first time.\u201d","order":0,"get_parent":{},"attributes":[],"attributesType":{"content":{"type":"string","source":"raw"},"lock":{"type":"object"}},"dynamicContent":""}]

Regenstrief’s NLP technology to be commercialized in partnership

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