{"id":4619,"date":"2025-10-02T10:33:34","date_gmt":"2025-10-02T00:33:34","guid":{"rendered":"https:\/\/harrison.ai\/?p=4619"},"modified":"2025-10-07T08:24:11","modified_gmt":"2025-10-06T21:24:11","slug":"parkway-radiologys-secret-to-handling-300-chest-x-rays-a-day","status":"publish","type":"post","link":"https:\/\/harrison.ai\/parkway-radiologys-secret-to-handling-300-chest-x-rays-a-day\/","title":{"rendered":"Parkway Radiology’s secret to handling 300 chest X-rays a day"},"content":{"rendered":"\n\n\n\n
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To stay at the forefront of patient care, Parkway Radiology needed to manage rising imaging demands while maintaining exceptional accuracy standards. After trialling various AI options, they chose to go with Harrison.ai. Two of their leaders explain why.<\/p>\n<\/div> <\/div>\n <\/div>\n <\/section>\n\n\n\n

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Singapore\u2019s leading private radiology provider<\/h2>\n

Parkway Radiology is part of the IHH Healthcare family, which operates 140 healthcare facilities across 10 countries in Southeast Asia. As Singapore\u2019s largest private provider of radiology services, Parkway Radiology serves four IHH hospitals (Gleneagles, Mount Elizabeth, Parkway East and Mount Elizabeth Novena) and seven clinics \u2013 conducting up to half a million radiology procedures annually.<\/p>\n<\/div> <\/div>\n <\/div>\n <\/section>\n\n\n\n

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Growing demand for accurate, reliable chest imaging<\/h2>\n

Chest X-rays comprise the largest volume of their imaging, with 85,000 studies performed each year \u2013 or about 300 per working day. This modality is pivotal in numerous settings, including diagnosis and management of heart and lung conditions, acute and emergency care, and in statutory health and pre-employment screenings.<\/p>\n

Parkway Radiology employs about 8% of Singapore\u2019s radiologists, but the volume of radiology studies keeps mounting year on year, placing more pressure on the team.<\/p>\n

The demand for faster turnaround times (without sacrificing the accuracy of results) and patient expectations also continue to grow.<\/p>\n

Faced with these challenges, Parkway Radiology looked to artificial intelligence (AI) to enhance their chest X-ray workflow.<\/p>\n<\/div> <\/div>\n <\/div>\n <\/section>\n\n\n\n

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Seeking a solution to satisfy their needs<\/h2>\n

They had key criteria for choosing a solution, with accuracy being first and foremost, explains Yujuan Tan, Parkway Radiology\u2019s CEO.<\/p>\n

It would also have to meet the clinical needs of their radiologists.<\/p>\n

Dr Tham Seng Choe, Clinical Director of Parkway Radiology\u2019s Radiologic Clinic at Mount Elizabeth Novena Hospital, says every chest X-ray requires a timely and accurate report \u2013 but this task is not always as simple as it sounds.<\/p>\n<\/div> <\/div>\n

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\u201cWe have to compress a 3D body part onto a flattened 2D image which is sometimes difficult to interpret and difficult to read, and diseases can potentially hide in those areas,\u201d he says.<\/p>\n

\u201cSometimes I wish I had a copilot, another pair of eyes, to help me with my daily work. Missing a sub-centimetre faint opacity can change a patient\u2019s life.\u201d<\/p>\n<\/div> <\/div>\n <\/div>\n <\/section>\n\n\n\n

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Ms Tan says their ideal solution would weave seamlessly into clinical workflows.<\/p>\n

Chest X-rays are reported in under a minute, she explains, and additional clicks or steps are not acceptable when every second counts.<\/p>\n

Furthermore, it would need to:<\/p>\n